Platform Engineer

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.

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.

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.

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.

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.

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.

At Educative, we're on a mission to connect millions of developers globally. Our platform is experiencing rapid growth, providing interactive, text-based courses covering various domains in computer science, cloud computing, and advanced technologies.Our learners depend on us to develop engaging courses that enhance their skills, enable them to secure better job opportunities, or simply enjoy the process of learning.We are looking for a creative and driven Software Engineer who is passionate about creating a state-of-the-art learning platform. You will take ownership of projects from inception to completion, making a significant impact on the final product. As a builder, you thrive in collaborative environments with fellow engineers and cross-functional teams, where you can share knowledge, conceptualize, design, develop, test, and launch features that amaze our learners, authors, and customers.

As a Senior Technical Content Engineer (TCE) at Educative, you will leverage your expertise to demystify complex technical concepts for learners. You will be responsible for crafting engaging technical content and collaborating with subject matter experts to design high-quality courses tailored for Educative's diverse learner base.Your core responsibilities include:Course Development:• Conduct in-depth research, plan, and develop interactive, text-based courses complete with hands-on programming projects aimed at engineering audiences.• Critically evaluate courses produced by peers to ensure they meet Educative's editorial and technical standards; provide constructive feedback in a clear and respectful manner.• Stay updated on technical advancements to inform course strategy and ensure that content aligns with learner needs.Platform Expertise:• Build deep knowledge of Educative's platform capabilities to effectively create courses and assist both internal and external authors in maximizing platform features.• Propose product enhancements and features, and support their prioritization, design, and implementation.Team Development:• Engage in team building initiatives, including recruiting campus and experienced hires, mentoring new team members, and leading training sessions.

Job Overview:Join Creative Chaos, a leader in innovation, as a Senior Data Scientist. We seek an accomplished professional with a deep background in data analysis, machine learning, and statistical modeling. Your expertise will be pivotal in analyzing large datasets, deriving actionable insights, building predictive models, and facilitating data-driven decisions across diverse projects.Key Responsibilities: Lead and oversee data science initiatives, from problem identification and data collection to analysis, modeling, and deployment of machine learning solutions. Collaborate with cross-functional teams to define business challenges and transform them into impactful data science projects. Design, implement, and refine machine learning algorithms and statistical models to solve intricate business problems. Perform exploratory data analysis to uncover patterns and trends in extensive datasets. Partner with data engineers to create efficient data pipelines for streamlined data processing. Assess model performance using statistical metrics and validation methods. Communicate insights and findings effectively to stakeholders through comprehensive reports and presentations. Stay updated with the latest trends and advancements in data science, machine learning, and related domains. Mentor junior data scientists, fostering their professional growth. Qualifications: Bachelor's degree in Computer Science, Statistics, Mathematics, or a related discipline. A minimum of 5 years of experience in data science. In-depth knowledge of machine learning algorithms, statistical modeling, and data mining techniques. Proficiency in programming languages such as Python or R for data analysis. Experience with big data frameworks and technologies, including Hadoop, Spark, and SQL. Familiarity with deep learning frameworks like TensorFlow or PyTorch is advantageous. Strong analytical and problem-solving capabilities. Exceptional verbal and written communication skills. Ability to work effectively in collaborative, cross-functional teams. Detail-oriented with the capacity to manage multiple tasks and projects concurrently. Benefits: Paid Time Off Work From Home Health Insurance Outpatient Department (OPD) Training and Development Opportunities

Job Overview:The Professional Services Engineer plays a vital role in supporting the Project team by providing specialized knowledge and expertise for various project implementations and extended client engagements. The ideal candidate will possess exceptional attention to detail, demonstrate initiative, and effectively meet customer requirements. This role is critical in upholding the organization's standards for customer service while ensuring that projects are delivered with utmost compliance and quality. The ability to handle high-pressure situations, such as client outages, is essential, and the engineer must consistently deliver outstanding customer service.Key Responsibilities:Achieve 70% billable hours per week through direct involvement in client dispatch and project work.Travel to client locations as needed to support the project team; non-travel days will be spent either on-site or in a mutually agreed remote location.Deliver exceptional service to clients and customers.Collaborate with the project team to accomplish the objectives outlined in the project statement of work.Gather and analyze project data to produce status reports against established milestones and suggest future actions.Review production, malfunction, and maintenance reports to identify and resolve issues.Evaluate project status against the planned schedule, pinpoint actual or potential problems, and facilitate solutions to ensure timely project completion.Manage personal utilization in project work to direct hours towards productive, billable tasks.Perform other related duties as required, including on-site dispatch work and managing service tickets within the project team queue, responding within agreed timeframes.Analyze and troubleshoot ticket logs, tracking the nature and resolution of problems, and perform all levels of routing incident analysis.Serve as the first level technical escalation point to assist junior engineers in troubleshooting technical challenges and provide solutions, escalating to senior engineers when necessary.Interact with multiple advanced engineering groups and vendors to escalate technical issues, provide updates to clients, and drive incidents to resolution, often collaborating with more than one group simultaneously.

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 our dynamic team at Interwood Mobel as a Production Engineer focused on optimizing finishing processes in our esteemed furniture manufacturing unit. We seek a meticulous and process-oriented individual who can enhance surface treatment techniques, manage material efficiency, and ensure the aesthetics and durability of our final products. This pivotal role is integral to advancing our production standards through systematic improvements in finishing operations, with a strong emphasis on quality, efficiency, and sustainability.Key Responsibilities: Evaluate and enhance surface finishing workflows across various product categories. Design and implement standard operating procedures (SOPs) for material preparation, surface treatment, and finish application. Introduce process enhancements to improve finish consistency, minimize rework, and optimize material utilization. Oversee and mentor technical staff on best practices for finish application and visual inspection. Ensure the safe handling of application materials while adhering to health and environmental protocols. Maintain accuracy in application ratios, drying conditions, and finish thickness standards. Experience in the coating or paint industry is preferred. Familiarity with ERP systems (preferably SAP) for tracking production, reporting, and documentation. Capable of preparing concise reports, SOPs, and technical documentation for management and cross-functional teams.

Join the Devsinc Team! We are seeking a passionate and skilled Lead Data Engineer to become a vital part of our innovative data team. In this crucial position, you will spearhead the design and optimization of data pipelines, turning raw data into insightful analytics that drive informed decision-making. Your collaborative spirit and deep expertise in data engineering will significantly influence our data architecture, ensuring data integrity and accessibility for our organization.Key Responsibilities:Architect, develop, and refine scalable data pipelines and models to enhance the extraction, transformation, and loading (ETL) processes.Engage with data scientists, analysts, and business stakeholders to identify data needs and deliver effective data solutions that align with strategic objectives.Maintain high standards of data quality, consistency, and accuracy by implementing robust validation and testing processes.Leverage cloud services and data warehousing technologies to manage substantial datasets efficiently.Oversee and resolve issues in production data pipelines, ensuring data availability and reliability.Participate in data governance efforts by promoting best practices in data security, privacy, and compliance.Stay abreast of industry trends and advancements in data engineering technologies.

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.

Role overview Speechify seeks a Platform Software Engineer based in Lahore, Pakistan. The position centers on developing and refining the foundational systems behind Speechify’s products. The team’s work aims to boost platform performance and scalability. Reliable, seamless service for users depends on these efforts. What you will do Build and enhance core platform systems Collaborate with teammates to improve system performance Contribute to efforts that make the platform more scalable and dependable

Join our dynamic team at Devsinc as a Senior Angular Software Engineer, where you will play a pivotal role in developing an enterprise-grade application. We are looking for passionate individuals with in-depth knowledge of Angular (latest versions) and advanced frontend engineering practices. Your expertise will contribute to building high-performance, scalable, and maintainable user interfaces.In this collaborative environment, you will work closely with backend engineers, product managers, UX designers, and QA teams to deliver robust, user-centric solutions. This position demands hands-on development experience, strategic architectural thinking, and a commitment to modern frontend best practices.

As a Quality Engineer at Interwood Mobel, you will play a pivotal role in ensuring the highest standards of product quality throughout the production process. This includes overseeing the quality of raw materials upon receipt, monitoring in-process manufacturing, and conducting thorough final inspections. Your expertise will be crucial in maintaining Interwood's reputation for excellence and meeting customer specifications through precise inspection, detailed reporting, and effective collaboration with production and quality assurance teams.Key Responsibilities:Perform in-process and final inspections on the shop floor, ensuring compliance with approved drawings, material specifications, and standard operating procedures (SOPs).Analyze engineering and production drawings to pinpoint critical dimensions and tolerances, ensuring that inspections are in line with specified technical standards.Detect and document non-conformities during inspections, and work alongside relevant stakeholders to implement effective corrective and preventive actions (CAPA).Maintain thorough documentation of inspection reports, checklists, and quality control documents in accordance with company protocols and regulatory audit requirements.Utilize measuring instruments accurately, verifying calibration status before use and promptly addressing any discrepancies with supervisors.Collaborate with the Deputy Manager QC, QC Inspectors, and production teams to ensure prompt resolution of quality issues and actively contribute to process improvement initiatives.

Join Gomotive as an IT Support Engineer, where you will play a crucial role in ensuring our systems run smoothly and efficiently. This position involves troubleshooting technical issues, providing support to end-users, and collaborating with our IT team to implement solutions that enhance operational efficiency.