Senior AI/ML Engineer - AI Systems & Applied Intelligence

Join Devsinc as a Senior AI Engineer and leverage your 4–6 years of experience in crafting, building, and launching production-quality AI systems. We seek a candidate who merges robust machine learning principles with practical knowledge of Large Language Models (LLMs), RAG architectures, and scalable ML infrastructure. In this role, you will take charge of the complete AI lifecycle from research and experimentation through to deployment, optimization, and monitoring. You will play a pivotal role in architectural decisions, mentor fellow engineers, and deliver applied intelligence solutions that yield tangible business outcomes.Key ResponsibilitiesDesign, develop, and implement AI/ML models and LLM-based solutions to tackle real-world business challenges.Create scalable training, fine-tuning, evaluation, and inference pipelines for production-ready AI systems.Design and deploy RAG pipelines, embedding systems, and retrieval-based architectures.Enhance model performance through experimentation, structured evaluations, hyperparameter tuning, and advanced optimization methods (quantization, batching).Develop APIs, microservices, and real-time inference services to integrate AI functionalities into production settings.Oversee and implement MLOps workflows, including experiment tracking, model versioning, CI/CD integration, monitoring, and lifecycle management.Engage in system architecture discussions to ensure scalability, reliability, security, and performance.Deploy AI systems on cloud platforms (AWS, Azure, GCP) with considerations for cost and performance optimization.Investigate emerging AI technologies, including LLMs, multimodal AI, and vector search, assessing their practical use cases.Guide junior engineers and advocate for best practices in AI engineering and MLOps.Document technical designs, workflows, experiments, and project outcomes for internal knowledge sharing.QualificationsBachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related discipline.4–6 years of professional experience in AI/ML engineering roles.Strong proficiency in Python with hands-on experience in PyTorch and/or TensorFlow.

Core ResponsibilitiesAs a Senior Software Engineer specializing in AI/ML, you will:Identify and engage potential clients seeking advanced AI/ML solutions using Python.Craft and implement effective strategies to generate leads and broaden our client base.Oversee the complete sales cycle from prospecting to deal closure.Conduct client meetings and presentations, demonstrating our AI/ML capabilities through product demos.Lead contract negotiations ensuring mutually beneficial agreements.Establish and nurture long-term client relationships to facilitate repeat business.Collaborate with technical teams to design and propose tailored Python-based AI/ML solutions.Provide ongoing support to clients, ensuring their satisfaction and successful project implementation.Stay updated on industry trends and emerging AI/ML technologies to fine-tune sales strategies.

Devsinc is on the lookout for a dedicated and skilled Senior Software Engineer specializing in AI/ML to enhance our dynamic team. In this pivotal role, you will design, develop, and refine cutting-edge AI and machine learning solutions that address complex challenges and elevate our product portfolio. Your deep expertise will play a vital role in steering our AI projects and advancing our technological frontiers.Responsibilities:Architect, develop, and rigorously test advanced machine learning algorithms and models to achieve business goals.Engage in collaborative efforts with product managers and other stakeholders to analyze requirements and translate them into effective AI solutions.Perform experiments to test and validate model efficacy, iterating improvements based on comprehensive data analysis.Stay abreast of emerging trends, methodologies, and best practices within the AI and machine learning landscape.Guide and mentor junior engineers, promoting a culture of continuous learning and knowledge sharing.Document and effectively communicate project outcomes and insights to internal teams and stakeholders.

About CodeNinja CodeNinja is a global provider of AI and engineering services, supporting enterprises as they build, scale, and operate intelligent systems. With over 350 engineers spread across four continents and more than 400 deployments completed, CodeNinja works with organizations worldwide to implement artificial intelligence through Global Capability Centers, Work AI, Physical AI, and AI Labs. The company is recognized as one of Pakistan’s fastest-growing AI firms and has received multiple awards on Clutch, serving more than 250 clients globally. Role Overview: AWS AI/ML Solutions Practice Lead This position is based in Lahore, Punjab, Pakistan. The AWS AI/ML Solutions Practice Lead oversees technical direction and client delivery for agentic AI solutions built on AWS. The role spans the full project lifecycle, from pre-sales architecture through to production deployment. Main Responsibilities Lead technical discovery and whiteboarding sessions to translate business challenges into agentic AI architectures on AWS. Design end-to-end solution architectures using Bedrock, SageMaker, Step Functions, Lambda, and EventBridge. Develop cost models, effort estimates, and technical proposals; collaborate with sales during client calls and RFPs. Oversee technical delivery of agentic AI projects, managing blended engineering teams from initiation to production. Set architecture standards, review code, address technical risks, and implement CI/CD and infrastructure-as-code best practices. Serve as the primary technical contact for clients throughout active projects. Create reusable reference architectures, accelerators, and proof-of-concept assets for agentic AI on AWS. Mentor the AWS Center of Excellence team on AI/ML services, agentic design patterns, and deployment methodologies. Requirements Extensive hands-on experience with Amazon Bedrock (Agents, Knowledge Bases, Guardrails), SageMaker, Lambda, Step Functions, and API Gateway. Deep understanding of agentic design patterns, such as ReAct loops, multi-agent delegation, retrieval-augmented generation (RAG) systems, and tool-use architectures. Experience working with AWS data services, including OpenSearch Serverless, DynamoDB, S3, Glue, and Kinesis. Familiarity with orchestration frameworks like LangChain, LangGraph, or similar, especially in AWS environments. Background in the AWS partner ecosystem, with roles such as Solutions Architect, Principal Consultant, or Practice Lead at an AWS partner firm. Ability to lead client discussions, whiteboard solutions in real time, address technical objections, and engage both technical and executive stakeholders. Track record of leading distributed engineering teams through full delivery cycles on AWS. Strong perspectives on CI/CD, CDK or Terraform, and observability tools such as CloudWatch and X-Ray. Why Join CodeNinja? Contribute to building high-quality systems for AI-enabled products, including large language model (LLM) evaluations and reliability frameworks. Take ownership of feature-level quality assurance, focusing on building scalable and reliable solutions.

About CodeNinja CodeNinja is a leading global AI and engineering services firm dedicated to empowering enterprises in the development, scaling, and management of intelligent systems. With a talented workforce of over 350 engineers spanning four continents and more than 400 successful deployments, we facilitate organizations in leveraging artificial intelligence through our Global Capability Centers, Work AI, Physical AI, and AI Labs. As one of Pakistan's fastest-growing AI companies and a multi-award recipient on Clutch, CodeNinja is proud to help over 250 clients worldwide innovate, automate, and thrive in the intelligence economy.Role Overview We are seeking a proactive and skilled Senior AI Engineer to design, develop, and manage AI-driven software systems that provide immediate and tangible value. This position lies at the nexus of software engineering, product engineering, and applied artificial intelligence, emphasizing practical implementation over theoretical research. As a key player in CodeNinja's AI-first operational strategy, you will utilize Large Language Models (LLMs), AI agents, and automation to significantly enhance software development, deployment, and operations.Key Responsibilities Design, develop, and maintain production-grade software systems with AI as a fundamental component. Implement agentic solutions and automation frameworks to address concrete business and product needs. Convert product specifications into scalable, secure, and reliable AI-enabled solutions. Focus on practical applications of AI, including prompting, orchestration, integration, evaluation, and deployment. Integrate AI in daily engineering tasks such as AI-assisted code generation, debugging, refactoring, and testing. Continuously enhance AI integration throughout the software development lifecycle to improve efficiency, quality, and output. Collaborate effectively with Product, Scrum, and Engineering teams to deliver AI-enhanced features from conception to completion. Contribute to shared platforms, services, and internal tools that facilitate large-scale AI-native development. Ensure that AI-enabled systems comply with standards for security, performance, and reliability. Develop monitoring, safeguards, and evaluation mechanisms for AI behavior in production environments. Take full responsibility for solutions from initial design through deployment and ongoing maintenance.

Join Devsinc as a passionate Software Engineer – AI/ML and contribute to the creation of intelligent, data-driven solutions. We seek a candidate with a robust understanding of machine learning and artificial intelligence, along with hands-on experience in model development, deployment, and adherence to software engineering best practices. You will engage in the entire AI/ML lifecycle—from data preparation and model training to seamless integration and optimization within production environments. This role emphasizes collaboration with cross-functional teams and mentoring junior engineers.Key Responsibilities:Design, develop, and enhance machine learning models to meet business needs.Work with both structured and unstructured data for effective training and evaluation.Implement ML solutions primarily using Python.Deploy models into production and ensure their integration with backend systems.Continuously monitor model performance and conduct retraining as necessary.Collaborate with multidisciplinary teams to convert business challenges into ML solutions.Maintain clean, efficient, and well-documented code.Engage in code reviews and contribute to technical discussions.

Join Devsinc as a Senior Software Engineer specializing in Artificial Intelligence. We are looking for an accomplished professional with a minimum of 3 years of hands-on experience in AI and Machine Learning. In this role, you will be responsible for designing, developing, and implementing advanced AI systems in production settings. The ideal candidate will possess a solid foundation in software engineering, extensive knowledge of machine learning techniques, and a successful track record of delivering scalable AI solutions. This position requires strong architectural insight, technical leadership, and the ability to drive cross-functional teams through complex AI projects from inception to launch.Key Responsibilities:Oversee the complete development cycle and deployment of AI projects, from ideation to production.Design, develop, and enhance AI/ML models, including deep learning, natural language processing, computer vision, and large language models.Create robust pipelines for training, fine-tuning, evaluation, deployment, and ongoing improvement.Develop production-grade inference services, APIs, and microservices, ensuring high performance, reliability, and cost-effectiveness.Implement and manage MLOps workflows using tools like SageMaker, MLflow, Vertex AI, Docker, and Kubernetes.Utilize advanced model optimization strategies such as quantization, distillation, batching, and GPU/TPU acceleration.Conduct experiments and explore emerging AI methodologies (LLMs, RAG, multimodal AI, vector search) to apply insights to practical scenarios.Collaborate effectively with Data Engineering, Product, DevOps, and Business teams to deliver AI-enhanced features.Mentor junior and mid-level engineers, fostering best practices in AI and software engineering.Engage in system architecture design, CI/CD implementation, monitoring, and lifecycle management of AI systems.Maintain high standards of code quality, documentation, security, and compliance throughout the AI development cycle.

Code Ninja Pakistan offers an AI Engineer Internship in Lahore, Punjab. This position gives interns the chance to work directly on artificial intelligence projects and see how AI concepts translate into real-world solutions. What you will do Collaborate with experienced engineers on ongoing AI projects Use AI methodologies to address practical challenges Learn about current tools and techniques in the field of artificial intelligence Location The internship takes place onsite in Lahore, Punjab, Pakistan.

About CodeNinja CodeNinja stands at the forefront of global AI and engineering services, empowering enterprises to build, scale, and operate intelligent systems. With a diverse team of over 350 engineers across four continents and a track record of more than 400 successful deployments, we help organizations leverage artificial intelligence through our Global Capability Centers, Work AI, Physical AI, and AI Labs. Proud to be recognized as one of Pakistan’s fastest-growing AI firms and a multi-award recipient on Clutch, CodeNinja is dedicated to enabling over 250 clients worldwide to innovate, automate, and thrive in the intelligence economy.Role Overview We are seeking a highly skilled AI Software Development Engineer in Test II (AI SDET II) to join our dynamic team. As a senior quality engineer, you will be responsible for developing and overseeing the test strategy and automation processes for our AI-enabled products. Your expertise will contribute to designing and maintaining automated tests and AI evaluation suites, integrating quality metrics into our CI/CD pipelines, and collaborating with Scrum teams to ensure the delivery of robust AI capabilities without defects.Key Responsibilities Lead the development and execution of a comprehensive test strategy for assigned AI features, ensuring alignment with Definition of Done and release criteria across unit, API, UI, and end-to-end testing layers. Design, create, and maintain automated AI evaluation suites, which include developing golden datasets, scoring mechanisms, and regression baselines to cover critical user journeys and failure modes. Validate changes in prompt, retrieval, and orchestration through systematic test harnesses and adherence to established acceptance thresholds. Enhance and extend automation frameworks and reusable utilities, focusing on improving test stability, execution speed, and signal-to-noise ratios. Integrate automated tests and AI evaluations into our CI/CD pipeline, effectively triaging pipeline failures and minimizing flaky tests. Collaborate with engineering teams to enhance testability through improved contracts, logging practices, and observability, promoting shift-left quality initiatives. Conduct thorough analysis of defects and AI output issues, performing root cause analysis and implementing regression coverage to mitigate future occurrences. Mentor junior SDETs in automation, test design, and AI validation methodologies, while effectively communicating quality risks to stakeholders. Ensure production readiness by validating guardrails, monitoring performance signals, and confirming compliance with performance requirements for AI features.

Join Devsinc as a Senior AI/Machine Learning Engineer, where you will leverage your expertise in Python and machine learning to create innovative solutions. We are looking for a proactive individual with extensive experience in cloud platforms (AWS, Azure, GCP, Databricks) who can design and develop scalable AI applications. You will play a pivotal role in shaping AI-driven features and user interactions within our client applications. Key Responsibilities: Develop and sustain robust AI and machine learning applications using Python and popular frameworks like TensorFlow and PyTorch. Design and deploy machine learning models and algorithms tailored for diverse AI applications, enhancing user engagement and functionality. Integrate external AI/ML APIs and services into existing web platforms. Foster a data-driven culture by consistently delivering impactful AI solutions. Possess a deep understanding of Large Language Models (LLMs) for various NLP applications, including writing assistance and summarization. Lead initiatives in NLP and computer vision model development, promoting a collaborative environment for continuous improvement.

Join our dynamic team at devsinc-17 as a Senior Software Engineer specializing in Artificial Intelligence and Machine Learning. In this pivotal role, you will be responsible for designing, developing, and scaling intelligent systems, including advanced AI agents that excel in reasoning, planning, and automation.Your expertise will drive the creation of production-grade AI models, the integration of Large Language Models (LLMs), and the design of agent architectures that seamlessly interact with APIs, databases, and workflows. This position is a perfect blend of applied ML knowledge, strong backend engineering skills, and a product-oriented approach to problem-solving.Key Responsibilities:- Engineer autonomous or semi-autonomous AI agents with capabilities to plan, reason, and communicate with tools, APIs, or external systems.- Implement agentic frameworks such as LangChain, LlamaIndex, CrewAI, or custom orchestration systems.- Utilize existing industry capabilities to enhance virtual assistant functionalities, including voice interactions.- Optimize reasoning and retrieval pipelines through embeddings, vector databases, and prompt engineering methodologies.- Develop, train, and fine-tune machine learning models utilizing frameworks like PyTorch, TensorFlow, or scikit-learn.- Engage in data preprocessing, feature engineering, and model evaluation for diverse tasks including NLP, computer vision, and predictive analytics.- Construct ML pipelines for training, deployment, and performance monitoring in production settings.- Collaborate with engineering teams to integrate AI components into backend systems and APIs effectively.- Ensure the scalability and maintainability of codebases through CI/CD, observability practices, and cloud-native design on platforms such as AWS, GCP, or Azure.- Contribute to the architectural design and review processes for AI-driven features and platforms.- Stay updated with the latest advancements in LLMs, agent frameworks, and model architectures.- Prototype and assess new methodologies for reasoning, tool usage, and adaptive behaviors in agents.- Share insights and mentor peers in best practices for ML and AI development.Qualifications:- Bachelor's Degree in Computer Science or a related field.- A minimum of 3 years of relevant experience in software engineering.- Exceptional programming skills in Python (mandatory) and proficiency in frameworks such as PyTorch, TensorFlow, or transformers-based models.- Demonstrated experience in building or integrating AI agents using frameworks like LangChain, LlamaIndex, CrewAI, or custom solutions.- Strong understanding of the machine learning model lifecycle including data processing, model training, evaluation, deployment, and monitoring.- Familiarity with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).- Knowledge of API integrations, microservices, and asynchronous systems.- Solid grasp of vector databases such as Pinecone, Weaviate, FAISS, and Chroma, and their retrieval architectures.- Strong foundation in software engineering principles including testing, version control, and system design.- Experience in LLM fine-tuning, prompt optimization, or Retrieval-Augmented Generation (RAG) systems.

Position Overview:As a Systems Engineer Level II at Prime System, you will play a vital role in delivering exceptional technical support and innovative solutions to our clients. This position carries significant responsibility, requiring you to troubleshoot intricate issues, implement effective solutions, and collaborate seamlessly with both clients and internal teams.Primary Responsibilities:Deliver advanced technical support to clients, resolving complex hardware, software, and network challenges.Efficiently troubleshoot and resolve escalated incidents and service requests.Provide on-site support at client locations when necessary.Take a leadership role in monitoring and managing client IT infrastructure, ensuring peak performance and reliability.Implement and oversee regular maintenance tasks, updates, and system optimizations.Lead initiatives to resolve challenging IT incidents, document root causes, and implement preventive strategies.Guide and mentor Level I engineers in troubleshooting and resolution techniques.Maintain detailed documentation of client environments, configurations, and support procedures.Contribute actively to the creation of knowledge base articles and training materials.Engage directly with clients to understand their technical requirements and deliver proactive solutions.Communicate effectively with clients, providing status updates, technical insights, and recommendations.Perform additional duties as assigned by management to enhance organizational success.Troubleshoot complex issues within the M365 ecosystem, addressing technical challenges related to M365 services such as Outlook, Teams, SharePoint, OneDrive, and Office applications.Utilize PowerShell to automate repetitive tasks like bulk user management, mailbox configuration, and M365 usage and security reporting.Assist with M365 Security Center responsibilities, including detecting suspicious activities, responding to alerts, and enforcing data loss prevention (DLP) policies.Manage user identities via EntraID, including advanced tasks like role assignments, multi-factor authentication (MFA), and conditional access policies.Handle intricate user permissions for SharePoint, Teams, and other M365 applications involving multiple access control levels or troubleshooting group-based permission issues.Create, update, and remove user accounts, including license assignments and permission configurations.

Job Title: Trainee Engineer (Internship to Hire Program)Job Location: Arfa Towers Lahore, Pakistan (onsite)Job Timing: 5:00 PM 02:00 PM (EST)About Prime System Solutions:Prime System Solutions is a premier IT service provider dedicated to delivering exceptional talent and cutting-edge solutions to clients worldwide.About the Role:We are excited to announce our three-month IT Engineer Internship to Hire Program, crafted for recent graduates and students eager to gain hands-on experience in Information Technology. This structured program aims to bridge the gap between theoretical learning and practical application, with the potential for a full-time job offer upon successful completion.Program Highlights: Engaging, hands-on training covering network administration, cybersecurity, cloud computing, system integration, and customer support. Development of critical IT skills, including Office 365, Active Directory, Azure, VMware, virtualization, and ticketing systems. Real-world experience in a Managed Service Provider (MSP) environment, focused on delivering IT solutions to US clients. Personalized mentorship from industry experts, collaborative projects, and exposure to the latest technologies. Involvement in IT projects tailored to US customers, simulating real-world scenarios in a global IT landscape. Successful participants will transition to full-time roles, engaging in challenging IT projects with US customers. This opportunity is perfect for aspiring IT professionals looking to thrive in a dynamic global IT industry.

Are you passionate about your work and eager to make a meaningful impact? Do you aspire to be part of a dynamic team that's committed to challenging the status quo? If so, we invite you to explore an exciting opportunity at webook.com, the leading event ticketing and experience booking platform in Saudi Arabia. With cutting-edge technology and innovative features, we’ve facilitated over 2 billion in sales for some of the Kingdom's largest mega-events.Role Overview:As the Senior Marketing Intelligence Officer, you will spearhead our marketing data strategy, crafting insightful dashboards and enabling data-driven decision-making. Your role will involve collaboration across various teams including Performance, CRM, BI, and Regional Marketing to link marketing initiatives to tangible business outcomes.Key Responsibilities:Design, manage, and enhance real-time dashboards to monitor core marketing KPIs across various markets.Create automated reporting frameworks to streamline performance updates for leadership and cross-functional teams.Utilize historical data and predictive models to forecast user growth, revenue impact, and campaign performance.Oversee brand health metrics tracking, focusing on awareness, consideration, NPS, and perception across multiple regions.Lead primary research efforts including consumer surveys, focus groups, and sentiment analysis to guide strategic initiatives.Gather secondary research and market intelligence from reputable external sources to support positioning and expansion strategies.Collaborate with regional marketing leaders to evaluate country-specific campaign results and optimize strategies accordingly.Develop and maintain a marketing measurement framework that correlates media investments with business outcomes.Work in tandem with CRM and Lifecycle Marketing teams to analyze conversion rates, churn, reactivation, and LTV by cohort.Assist performance marketing efforts with audience segmentation, behavioral analytics, and channel attribution insights.Monitor competitor activities including campaign strategies, pricing, share-of-voice, and digital presence through benchmarking reports.Act as the marketing team's liaison with BI, Finance, and Product teams for cohesive data interpretation.Prepare periodic business reviews, executive summaries, and insights reports demonstrating marketing impact.Introduce advanced statistical methodologies (e.g., regression, cluster analysis) to enhance analytical rigor.Provide training and documentation to promote data literacy and insight-driven thinking within the marketing department.

Join our dynamic team at Prime System as a Senior System Administrator - Level III. We are seeking a highly proficient professional with extensive experience in Microsoft Azure, Intune, Entra ID, Active Directory, Microsoft 365, virtualization, patch management, and advanced infrastructure/network troubleshooting. In this role, you will be responsible for maintaining, optimizing, and securing our enterprise systems, ensuring high availability across all infrastructure components.Key ResponsibilitiesCloud & Identity ManagementAdminister, configure, and optimize Microsoft Azure services including VMs, storage, networking, identity, and security.Manage Entra ID (Azure Active Directory) with a focus on conditional access policies, SSO, MFA, identity governance, and role-based access.Design, deploy, and maintain Intune/Endpoint Manager policies to ensure device compliance, security baselines, app deployment, and autopilot provisioning.Microsoft 365 AdministrationAdminister Exchange Online, SharePoint Online, Teams, OneDrive, and the M365 security/compliance center.Implement and enforce M365 governance, retention policies, and DLP standards.On-Premises InfrastructureMaintain and support Active Directory, GPOs, DNS, DHCP, and domain controllers.Manage and troubleshoot virtualized environments (Hyper-V or VMware).Oversee patch management for servers, endpoints, and cloud environments.Network & Infrastructure TroubleshootingProvide advanced Level 3 support for network, server, and endpoint issues.Troubleshoot connectivity, performance, authentication, and security incidents.Collaborate with network/security teams on complex problems and escalations.Security & ComplianceImplement best practices for system hardening, identity protection, and endpoint security.Monitor system performance, audit logs, and security alerts to ensure compliance.Project ImplementationLead initiatives related to cloud adoption, modernization, and infrastructure upgrades.Document technical processes, architecture diagrams, and standard operating procedures.

Position Title: Senior Financial Analyst Job Type: Onsite (Lahore/Islamabad)Timing: US Time Zone (EST)Role OverviewWe are on the lookout for a proactive and detail-oriented Senior Financial Analyst to join our team at prime-system. This role will play a crucial part in supporting our Financial Planning & Analysis (FP&A) and reporting functions. The primary focus will be on producing monthly actuals reports, monitoring weekly sales metrics, conducting Annual Recurring Revenue (ARR) performance analyses, tracking sales commissions, as well as forecasting and budgeting activities.The ideal candidate will possess a strong sense of ownership over their work, be capable of independently resolving challenges, and embody a startup mentality by being adaptable and innovative in building new processes and implementing effective tools.Key Responsibilities:Monthly Actuals & ReportingLead the monthly close actuals reporting, including management Profit & Loss (P&L), balance sheets, cash flow statements, revenue details, and variance analysis against budget and forecast.Generate consistent and reliable monthly reporting outputs for leadership review.Weekly Sales & Revenue MetricsCompile weekly reports on sales, bookings, and ARR fluctuations using Salesforce data.Analyze performance against targets, identifying and flagging significant trends or anomalies.Ensure the accuracy and consistency of sales and revenue metrics.SaaS & Professional Services AnalysisEvaluate core SaaS metrics, including ARR, churn, retention, expansion, and bookings.Assist in financial reporting for the professional services segment, which includes:Tracking services backlogAssessing business unit profitability and marginCommissions, SPIFFs & Process DevelopmentOversee sales commission tracking, payout calculations, and reporting processes.Take charge of new or evolving commission initiatives, leveraging new Salesforce tools and models.Enhance documentation, controls, and the repeatability of commission processes.Forecasting, Budgeting & PlanningAssist in preparing monthly and quarterly forecasts and annual budgets, focusing on revenue, headcount, and operating expense planning.Maintain and refine forecast models, assumptions, and driver-based planning logic.Evaluate forecast outcomes versus actuals and integrate insights into future planning cycles.Qualifications:8–12+ years of progressive experience in finance, with a strong emphasis on FP&A.Demonstrated senior-level expertise in forecasting, budgeting, and strategic financial planning.Hands-on experience with NetSuite Planning & Budgeting, Salesforce, and commission management or SPIFF tools.Advanced financial modeling and Excel skills are essential.

Job Title: System & Network Administrator (Level I)Job Type: Full-timeIndustry: Managed Service ProviderWork Schedule: Remote/Hybrid/OnsiteTiming: US Time Zone (EST)Please apply if you have the relevant experience and are fluent in English communication.Job Description:The System & Network Administrator will play a crucial role in managing and maintaining the IT infrastructure for various client environments. This position requires technical expertise in system and network administration to ensure the efficient operation and security of both on-premises and cloud-based systems. The administrator will handle a diverse array of systems, including networking equipment, servers, firewalls, virtualization technologies, and cloud services, providing thorough support to ensure business continuity and peak performance.The ideal candidate will have substantial hands-on experience with Microsoft 365, Active Directory, Azure, and various firewall technologies, alongside a robust understanding of virtualization platforms like VMWare. Familiarity with remote access tools, monitoring platforms, and ticketing systems is essential. A proactive approach to problem-solving and the ability to thrive in a fast-paced, multi-client environment are critical.Key Responsibilities:Network and System Administration:Administer and maintain client network infrastructures, including routers, switches, firewalls, and wireless technologies from vendors such as Cisco, SonicWall, Palo Alto, Juniper, F5, HP, and Aruba.Manage and maintain server environments, both on-premises and in the cloud, using Windows Server (2008-2022) and virtualization technologies such as VMWare and Hyper-V.Support and administer Microsoft 365, Active Directory, and Azure environments, including user management, group policies, and cloud-based services.Implement and maintain firewalls and VPN solutions such as Cisco AnyConnect, Meraki, SonicWall, and Fortinet to ensure secure remote access and data protection.Security and Compliance:Monitor, configure, and manage security protocols, including intrusion detection/prevention systems, firewalls, and anti-virus solutions.Conduct regular security assessments, vulnerability scans, and patch management to ensure adherence to security best practices.Collaborate with clients to create and implement disaster recovery and business continuity plans.Support and Troubleshooting:Provide Level 1 and Level 2 technical support for system, network, and application issues.Utilize remote management tools to assist clients effectively.

Position Title: Staff AccountantJoin our innovative project accounting team as a Staff Accountant where your detail-oriented and proactive approach will play a vital role in our financial management. Reporting directly to the Project Accounting Manager, you will engage in month-end functions, collaborate with the team, and contribute to the preparation of the company's financial statements in compliance with US GAAP.Key Responsibilities:Lead the month-end close processes for project accounting, ensuring timely preparation and review of journal entries, schedule reconciliations, and trial balance reviews.Prepare quarterly reporting packages encompassing financial statements, debt service coverage ratios, distributions, and other operational reports as required.Collaborate with the treasury operations team to review subcash weekly and bank reconciliations monthly.Assist in the accurate and timely preparation of financial statements and accompanying footnote disclosures in accordance with US GAAP.Maintain various schedules to support financial statements and disclosures.Work collaboratively with different business units to gather operational insights and ensure accuracy in financial disclosures.Support the implementation of new accounting standards and processes related to the ERP system.Provide recommendations for process improvements and efficiencies.Assist with external auditor requests for documentation and information during audits.

Join Devsinc, a forward-thinking technology company, as we seek a talented Machine Learning Engineer with over 2 years of hands-on experience in developing and optimizing Generative AI models (including LLMs and Diffusion Models), Vision-Language Models (VLMs), as well as classical and deep learning systems. In this role, you will take charge of the complete lifecycle of AI solutions, from conception to deployment in a production environment.Your expertise in modeling and MLOps will be paramount as you engage in high-impact projects, such as creating Generative AI applications, implementing Stable Diffusion, and developing cutting-edge solutions for OCR, theft detection, and recommendation systems. You will design, optimize, and deploy custom models for practical, real-world applications.Key Responsibilities:Develop production inference stacks: Optimize models (Torch → ONNX → TensorRT), perform quantization/pruning, and deliver low-latency GPU inference while maintaining accuracy.Build robust model-serving infrastructure: Implement FastAPI/gRPC inference services, manage model versioning, and conduct A/B testing.Create Computer Vision solutions: Design pipelines for object detection, theft detection, OCR, and surveillance analytics; fine-tune Hugging Face pretrained models.Fine-tune generative models for consistent image generation across various brand styles and downstream tasks.Train Vision-Language Models (VLMs) for multimodal tasks using both from-scratch and transfer-learning methods.Design LLM-based Generative AI systems for conversational agents and domain-specific applications.Implement MLOps practices: Automate CI/CD processes and monitor models for performance and drift.Develop data acquisition pipelines: Create scrapers and ingestion systems with proxy rotation and rate-limit management.Integrate third-party models and APIs and design hybrid inference strategies for optimal performance.

Prime System Solutions is an innovative IT company specializing in service delivery and resource augmentation. We are committed to empowering organizations by providing highly skilled professionals across three essential sectors: Service Delivery, Operations, and Talent Acquisition.Our Management Trainee Officer (MTO) program is meticulously crafted to cultivate recent graduates into future leaders. By immersing you in these core verticals, we align your career trajectory with your performance, interests, and skills.Work Timings: (Please apply only if the following timings suit your schedule)First Shift: 2 PM - 11 PMSecond Shift: 5 PM - 2 AM (Night Shift)Role OverviewAs a Management Trainee Officer (MTO) at Prime System Solutions, you will embark on a structured career development journey aimed at establishing a solid professional foundation. This program will introduce you to the fundamental functions of our organization, providing exposure to Service Delivery, Operations, and Talent Acquisition. Through hands-on projects, mentorship, and performance assessments, you will acquire practical skills and understand how each vertical contributes to our overall success.Your initial duties will concentrate on supporting business processes and learning organizational systems. As you progress, your career path will be tailored to your performance, interests, and demonstrated strengths, ensuring you are positioned in the sector where you can excel and make a significant impact.