Generative AI/ML Engineer (1-4 years) - Hudson Manpower

Generative AI/ML EngineerAbout the Role:We are on the lookout for a dynamic and innovative Generative AI/ML Engineer to join our forward-thinking team at Hudson Manpower. The ideal candidate will possess a strong passion for artificial intelligence, natural language processing, and large language models (LLMs). You will play a pivotal role in designing, developing, and deploying GenAI-driven solutions that revolutionize business processes and enhance efficiency.In this role, you will work collaboratively with data scientists, engineers, and product teams to transform visionary AI concepts into reality, utilizing platforms such as OpenAI, Anthropic, Google Vertex AI, and others.Experience Required: 1 to 4 yearsKey Responsibilities:Design and develop applications and workflows utilizing Generative AI and Large Language Models (LLMs).Optimize and fine-tune pre-trained models to address specific business requirements and enhance performance.Collaborate across teams to identify and leverage opportunities for AI-driven innovation.Develop prompt engineering strategies to maximize model outputs.Conduct research and prototype innovative approaches in text, image, and multimodal generation.Implement scalable GenAI solutions using APIs and cloud platforms (AWS, Azure, GCP).Assess and monitor AI model accuracy, bias, and performance metrics.Stay abreast of the latest trends in GenAI, NLP, and machine learning technologies.

Join Our Team as a Data Engineer!We are seeking a driven Data Engineer with 1–4 years of hands-on experience who is enthusiastic about data engineering and cloud-based data solutions. The successful candidate will demonstrate proficiency in Snowflake, SQL, and various data integration tools to enhance our data warehousing and analytics projects.Employment Type: W2Work Authorization: US Citizen, Green Card Holder, or H4 EADRelocation: Open to relocation anywhere within the United States

Job Opportunity:Join our innovative and fast-growing team at Hudson Manpower as a QA Automation Engineer. We are looking for a dedicated and detail-oriented individual with 1 to 4 years of hands-on experience in automation testing. The ideal candidate will possess a robust understanding of automation tools, strong analytical abilities, and a readiness to relocate within the United States.Key Responsibilities:Design, implement, and maintain automated test scripts for both web and mobile applications.Translate business and technical requirements into comprehensive test cases.Conduct functional, regression, integration, and system testing.Collaborate effectively with developers, business analysts, and QA team members to ensure quality deliverables.Identify and document defects utilizing bug tracking tools.Actively participate in Agile/Scrum ceremonies to enhance team collaboration.Assist in test execution during System Integration Testing (SIT) and User Acceptance Testing (UAT) phases.Uphold high-quality standards through effective testing methodologies.

Empowering Future Leaders Through EducationFostering Academic Growth in East San JoséFounded by dedicated families in East San José, Alpha Public Schools is a free, TK-12 public charter school network committed to nurturing the next generation of leaders. Our mission is to provide robust academic support and foster a love for learning.At Alpha Public Schools, we serve approximately 1,900 scholars across our four campuses, ensuring that every student feels valued and included in a safe, supportive environment. With a strong community focus, we engage families collaboratively to provide a holistic education that prepares students for success in college and beyond.What Makes a Successful Alpha Teacher:An ideal teacher at Alpha believes in the potential of every student and sets high expectations to promote academic achievement. They utilize student data to inform instructional strategies and are eager to embrace coaching and feedback for continuous improvement. We seek educators who celebrate the diverse experiences and cultures of our students, are enthusiastic members of a vibrant school community, and adeptly address socio-emotional needs while enhancing literacy across all subjects.

About EtchedAt Etched, we are pioneering the world’s first AI inference system designed specifically for transformers, achieving more than 10x the performance and significantly reduced costs and latency compared to traditional systems. Our custom ASICs enable the creation of groundbreaking products, such as real-time video generation models and highly complex reasoning agents. Supported by substantial investments from leading venture capitalists and a team of top-tier engineers, we are at the forefront of revolutionizing the infrastructure for the fastest growing industry in history.Job OverviewWe are seeking a proactive Developer Experience Engineer to drive improvements in developer productivity, automation, and infrastructure within our hardware and software teams. This role sits at the crossroads of DevOps, software engineering, and high-performance computing (HPC), where you will design and implement systems that expedite chip design, simulation, and the deployment of AI models in both cloud and on-premises environments.Key ResponsibilitiesCreate and maintain automation tools to enhance development, testing, and deployment processes.Optimize and manage job scheduling using Slurm for AI tasks, simulations, and chip design.Develop monitoring solutions with Grafana, Prometheus, and OpenTelemetry to track pipelines, infrastructure, and compute clusters.Oversee and enhance containerized environments with Docker and Kubernetes to improve scalability and reproducibility.Refine build, test, and deployment pipelines using CI/CD tools such as GitHub Actions, Jenkins, Buildkite, or Bazel.Establish caching and artifact management systems to minimize build times and optimize dependency management.Integrate and manage cloud resources (AWS, GCP) for scalable compute, storage, and hybrid workloads.Assist in security and compliance initiatives, including secrets management and access control.Document and disseminate best practices for effective developer tooling and workflows.Ideal Candidate QualificationsProficient in Python for automation, scripting, and infrastructure development.Experience with Slurm job scheduling in HPC or hybrid settings.Familiarity with cloud services (AWS, GCP) and container orchestration tools.Strong understanding of CI/CD practices and tools.Excellent problem-solving and communication skills.

Veeam is recognized as the Data and AI Trust Company, dedicated to empowering organizations to gain a comprehensive understanding of their data and AI, ensuring they are secure and resilient to facilitate the safe scaling of AI technologies. As a frontrunner in data resilience and security posture management, Veeam is expertly positioned at the intersection of identity, data, security, and AI risk management. With its headquarters in Seattle and a presence in over 30 countries, Veeam safeguards the operations of more than 550,000 customers globally, who rely on us to keep their businesses thriving. Join us in our fearless journey forward, as we grow, learn, and make a significant impact for some of the most prominent brands in the world.About the RoleWe are seeking a talented Analytics Engineer to become a vital part of our internal Data Management team, enhancing data-driven decision-making throughout the organization. In this pivotal role, you will be responsible for designing and maintaining scalable data models, pipelines, and transformation processes that are essential for analytics, reporting, and data science initiatives. You will work in close collaboration with analysts, data scientists, and engineering teams to ensure the data is reliable, efficient, and structured to support valuable business insights and strategic objectives.What You’ll DoDesign scalable and dependable data marts and transformation processes to meet analytics and reporting requirements.Collaborate with data analysts, data scientists, and business stakeholders to comprehend data requirements and convert them into effective data solutions.Develop optimized data models and schemas that facilitate efficient storage, retrieval, and analysis of large datasets.Create ETL and ELT pipelines that transform raw data from diverse sources into structured datasets for analytics and reporting.Partner with data, architecture, and DevOps teams to ensure the scalability, performance, and reliability of data systems.Monitor data pipelines and systems to troubleshoot issues and identify areas for enhancement.Document data architectures, flows, and processes to promote transparency, collaboration, and maintainability.

Job OverviewJoin our dynamic team at Hudson Manpower as a talented Mobile Application Developer specializing in iOS and Android platforms. We are seeking passionate individuals with a solid background in mobile application development, testing, and deployment. Ideal candidates will have a grasp of contemporary mobile architectures and best practices.Location: United States (Willing to Relocate Anywhere)Employment Type: Contract / Contract to Hire / Full Time (W-2)Experience Required: 2-4 yearsCitizenship: US Citizens and Green Card Holders Only (Sponsorship not available)Key ResponsibilitiesDesign, develop, and maintain mobile applications for iOS and/or Android platforms.Collaborate with cross-functional teams including product managers, designers, and backend developers.Write clean, scalable, and efficient code adhering to best practices.Debug, troubleshoot, and enhance application performance.Integrate APIs and third-party services.Engage in code reviews and contribute to continuous improvement initiatives.Stay informed about the latest trends and technologies in mobile development.

As a Staff Software Engineer - Developer Experience, you will play a pivotal role in enhancing engineering efficiency by architecting and refining our CI/CD platforms and infrastructure workflows. This position is a unique blend of platform engineering and developer support, focusing on modern CI/CD systems, including GitHub Actions, as well as infrastructure as code through tools like Terraform. Your primary mission will be to create seamless pathways that empower product engineering teams to build, test, and deploy software swiftly and securely.Your responsibilities will include defining best practices, minimizing obstacles in the software delivery lifecycle, and developing self-service infrastructure patterns that can be utilized across multiple teams. You will collaborate with engineering leadership and cross-functional teams to ensure that our software development lifecycle is secure, automated, observable, and optimized for speed and reliability. As a senior-level engineer, you will also mentor other engineers and guide architectural decisions throughout the organization.

About HarkHark is at the forefront of artificial intelligence, dedicated to crafting sophisticated, personalized intelligence systems. Our innovative approach merges proactive, multimodal capabilities, enabling interaction through speech, text, vision, and enduring memory.We are revolutionizing the interface between humans and machines by integrating our intelligence with cutting-edge hardware. While traditional AI applications are limited to chat boxes and outdated devices, Hark is pioneering the next generation of agentic systems that communicate seamlessly with people and their environments.Our mission involves the development of multimodal models and next-generation AI hardware, all designed from the ground up as a cohesive interface for a new era of intelligent systems.About the RoleAs the Lead Data Engineer, you will establish the data infrastructure that transforms raw signals into the training datasets essential for Hark's models. You will be responsible for building and maintaining the pipelines that ensure a smooth flow of data at scale.This role encompasses the entire data engineering stack: from ingestion and transformation to quality filtering and delivery to training and evaluation systems. The efficacy of the models we deploy is directly linked to the quality of the underlying data, and this position is pivotal in owning that foundational aspect.This high-responsibility role requires collaboration with a small, agile team. You will work closely with model researchers, data collection leads, and infrastructure engineers, where the systems you design will significantly influence the quality and speed of model development.

Join FloQast as a Solutions Data Engineer and play a critical role in shaping our data-driven solutions. In this position, you will leverage your expertise in data engineering to design, develop, and implement solutions that enhance our operational efficiency and drive success for our clients.

Join FloQast as a Senior Staff Engineer, Data, and become an integral part of our technical leadership team. In this role, you will spearhead the design, implementation, and continuous enhancement of FloQast’s core data platform. You will set the standards for data ingestion, governance, storage, processing, and access that empower our product and analytics systems. Your contributions will establish a robust, scalable, and secure data foundation that enables our engineering, product, and business operations teams to thrive.Note: Visa sponsorship is not available at this time.

Join Sonsoft Inc. as a Big Data Engineer specializing in Hadoop and Spark. In this role, you will leverage your expertise in big data technologies to design, develop, and optimize data pipelines that support our innovative analytics solutions. You will work closely with cross-functional teams to transform raw data into actionable insights, driving key business decisions.

Join Our Team as a Data Engineer!Location: San Jose, CAContract Duration: 3+ months (with potential for extension)We are seeking a talented Data Engineer with extensive experience in Big Data technologies. The ideal candidate will have over 8 years of proficiency in Java, Python, and Scala, along with hands-on experience in Spark and Machine Learning. You will play a crucial role in data mining and analysis, transforming unstructured data into actionable insights.Key Responsibilities:Gather and process large-scale raw data through scripting, web scraping, API calls, and SQL queries.Collaborate with the engineering team to design and implement algorithms for data processing.Convert unstructured data into formats suitable for analysis and conduct thorough analyses.Support business decisions with ad hoc analyses as necessary.Extract and manipulate data from various relational databases using quantitative and visualization tools.Guide the selection of appropriate modeling techniques to develop robust predictive models.Establish processes for validating and updating predictive models regularly.Analyze healthcare service utilization patterns to model outcomes and scenarios for innovative healthcare delivery models.Work closely with internal teams to enhance the applicability of predictive models within core software products.Conduct statistical analyses to prioritize initiatives that maximize success.Identify opportunities for improvement and communicate actionable plans.Perform strategic data analyses to meet business objectives.Explore data to uncover opportunities for enhanced business performance.Develop a deep understanding of business processes and strategies to provide insightful analysis to management.

Location: San Jose, CA or New York CityRemote: Considered; travel requiredAbout Tessera Labs: Tessera Labs is at the forefront of transforming how enterprises implement and leverage Artificial Intelligence. Supported by Foundation Capital and driven by a top-tier founding team, we develop multi-agent AI systems that streamline complex business workflows across major platforms such as SAP, Salesforce, Workday, Snowflake, MuleSoft, and beyond.Our Mission: Our goal is to deliver genuine AI automation to enterprises with speed, precision, and measurable outcomes. We prioritize agility, take ownership, and innovate at the cutting edge of applied AI.Why This Role is Essential: This position empowers Forward Deployment Engineers (FDEs) to facilitate swift and secure AI-driven ERP modernization. You will play a vital role in enhancing migration speed, ensuring operational continuity, and enabling data-informed decision-making. Your work will lay the groundwork for enterprise-scale AI and analytical solutions in complex environments, positioning you at the forefront of enterprise AI and ERP transformation.Role Overview: As a Data Engineer, you will collaborate closely with Forward Deployment Engineers (FDEs) to drive rapid ERP modernization and AI transformation for our enterprise clients. Your primary focus will be on data harmonization, cross-system integration, and developing data pipelines, ensuring that AI solutions and enterprise workflows are supported by high-quality, reliable, and well-structured data.This role requires expertise in ETL processes, relational schema modeling, data mapping, data cleaning, and pipeline logic for structured/tabular data. A lightweight MLOps component may be involved, focusing on structured datasets and potentially requiring distributed processing with PySpark or ML data engineering techniques. Note that there are no downstream responsibilities concerning model training, serving, or deployment.Candidates should bring a deeper understanding of ERP-centric data compared to typical ML data engineering roles, along with robust generalist engineering skills to construct scalable, production-grade pipelines. Ideal candidates will have expertise in SAP data coupled with modern data engineering or machine learning enablement experience; strengths in one area with the willingness to learn the other are acceptable.Key Responsibilities:Data Harmonization: Integrate, reconcile, and standardize structured data across ERP, CRM, finance, and analytical systems.

Archer Aviation is an innovative aerospace company located in San Jose, California, dedicated to revolutionizing sustainable air mobility. We are at the forefront of designing and manufacturing an all-electric vertical takeoff and landing aircraft that can transport four passengers while ensuring minimal noise pollution.We set ambitious goals and tackle complex challenges, believing that a diverse team fosters smarter solutions and drives success. Our commitment to creating an equitable and inclusive workplace allows us to celebrate the unique contributions of every team member.About the RoleAs a Design Data Integrity Engineer, your primary responsibility will be to ensure the precision, completeness, and compliance of our engineering drawings and models. You will play a critical role as the quality gate for design data, confirming that all work adheres to drafting standards, dimensioning practices, and configuration management requirements prior to release. Your efforts will directly facilitate the production of error-free, manufacturable, and compliant engineering designs.What You'll DoReview and verify engineering drawings, models, and documentation against company, industry, and regulatory standards.Ensure compliance with ASME Y14.5 Geometric Dimensioning and Tolerancing (GD&T) and ASME Y14 drafting standards.Identify and document errors, inconsistencies, and missing information within design data.Provide constructive feedback and recommendations for corrections and enhancements to design engineers.Validate the accuracy of CAD models and their associated metadata before release.Confirm that drawings accurately reflect design intent while supporting manufacturability and producibility.Collaborate with various design engineering teams across multiple commodity types, ensuring adherence to design standards and configuration management processes.Support drawing release processes within PLM systems such as Teamcenter, Windchill, or Enovia.Coordinate with the Configuration Management team regarding drawing/model issues that may affect change notices or configuration control.Participate in tolerance stack-up and interface checks to ensure fit, form, and function integrity.Contribute to process enhancements that improve drawing quality and release efficiency.

Collaborative Innovation for Streaming Excellence. Transforming Television with RokuAs the leading TV streaming platform in the U.S., Canada, and Mexico, Roku is on a mission to revolutionize how the world experiences television. We pioneered streaming technology, connecting viewers to their favorite content, empowering content creators to grow their audiences, and providing advertisers with unique engagement tools.At Roku, every team member plays a crucial role from day one. Join us in delighting millions of TV streamers worldwide while gaining invaluable experience across various disciplines. About Our TeamOur User Experience team values exceptional design that balances visionary thinking with meticulous attention to detail. Comprising talented UX designers, researchers, and writers, we work hand-in-hand with our renowned Product and Engineering teams to craft a Roku experience that is both simple and enjoyable for our users. Role OverviewWe are seeking a skilled UX Product Designer with a strong focus on interaction design to enhance our Premium Subscription services within The Roku Channel. Initially, you will concentrate on integrating the Frndly TV live streaming service into our Premium Subscription offerings. Your design responsibilities will encompass various aspects including user experience for show browsing and searching, live TV guide integration, merchandising, subscription workflows, playback, and more, while fostering collaboration with fellow UX designers in these domains. The Roku Channel provides access to over 50 premium subscription services such as Paramount+, HBO Max, and Discovery+, all presented with a cohesive user interface that facilitates seamless entertainment across multiple subscriptions.

Job Title: Snowflake Developer / Data Engineer (1–3 Years Experience)Employment Type: ContractWork Authorization: US Citizen / Green Card / H4 EADLocation: Open to relocate anywhere within the United StatesJob Description:We are seeking a passionate Snowflake Developer / Data Engineer with 1-3 years of dedicated experience in data engineering and cloud-based data platforms. The ideal candidate will possess hands-on experience with Snowflake, SQL, and various data integration tools to enhance our data warehousing and analytics initiatives.Key Responsibilities:Design, develop, and maintain data pipelines and solutions using Snowflake.Craft efficient SQL queries for data extraction, transformation, and loading (ETL/ELT) processes.Work with structured and semi-structured data in the Snowflake environment.Assist with data warehousing and migration projects.Collaborate with data analysts, developers, and business stakeholders to identify and fulfill data requirements.Optimize data performance, query efficiency, and storage utilization in Snowflake.Support data validation, testing, and troubleshooting of data pipelines.Engage with cloud platforms such as AWS, Azure, or GCP (basic knowledge preferred).

Role overview The Staff Data Center Operations Engineer at Zscaler plays a key role in supporting the performance and reliability of the company’s data center operations in San Jose, California. This position centers on maintaining and improving infrastructure while working closely with teams throughout the organization. The goal is to help deliver consistent, high-quality service across Zscaler’s global network. What you will do Maintain and enhance data center infrastructure to promote reliability and efficiency. Collaborate with cross-functional teams to address operational needs and solve challenges as they arise. Apply technical expertise to ensure that infrastructure remains scalable and dependable as demands grow. Location This position is based in San Jose, California, USA.

Join Our Team as a Data EngineerAt Comtech LLC, we are seeking a seasoned Data Engineer with expertise in Scala, Spark, and Java to enhance our big data solutions. If you have a passion for data mining, analysis, and machine learning, we want to hear from you!Key Responsibilities:Collect and process large datasets using various methods including scripting, web scraping, and API calls.Collaborate with engineering teams to build and integrate algorithms for data processing.Transform unstructured data into analyzable formats and conduct thorough analyses.Support strategic business decisions by performing ad-hoc analyses as required.Extract data from relational databases and utilize statistical and visualization tools for data exploration.Advise on modeling techniques to develop robust predictive models following rigorous statistical methodologies.Establish processes for validating and updating predictive models regularly.Analyze health service utilization patterns and model outcomes for innovative healthcare delivery approaches.Work with analytics and business strategy teams to enhance the efficiency and applicability of predictive models in core software products.Conduct statistical analyses to prioritize initiatives for maximizing success.Identify improvement opportunities and communicate actionable plans.Perform strategic data analyses to meet business objectives.Explore data for insights that can lead to improved business performance.Develop a deep understanding of business processes and goals to provide management with actionable insights.

Join Comtech LLC as a Senior Data Engineer, where you will play a pivotal role in transforming raw data into actionable insights. We are seeking a highly skilled professional with extensive experience in Big Data technologies and programming languages.Key Responsibilities:Collect and process large datasets using various techniques such as scripting, web scraping, API calls, and SQL querying.Collaborate with engineering teams to design and implement algorithms for data integration.Transform unstructured data into structured formats for analysis and perform detailed data analysis.Support strategic business decisions through ad hoc data analysis.Extract and manipulate data from relational databases while utilizing statistical and visualization tools.Guide the selection of modeling techniques to create robust predictive models using stringent statistical methods.Establish processes for the validation and updating of predictive models.Analyze healthcare utilization trends and model potential outcomes for innovative healthcare solutions.Work in tandem with business and analytics partners to enhance the efficiency and applicability of predictive models within our software offerings.Conduct statistical analyses to prioritize initiatives that maximize success.Identify opportunities for improvement and communicate actionable plans.Perform strategic research to support business objectives.Explore data to identify opportunities for enhancing business performance.Develop a thorough understanding of business processes to provide meaningful analysis to management.Engage in discussions to clarify business needs and necessary analyses.