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Job Title: Embedded Validation Engineer

Location: Charlotte, NC

Job Type: Full-Time

Role Overview

We are seeking a technically strong Embedded Validation Engineer to serve as the Controls and Quality Assurance (QA) point of contact for lab validation and sustaining programs. The role focuses on requirements-based validation, disciplined test execution, defect reporting, and traceability across multiple product programs.

The ideal candidate will work closely with Systems Engineering, Product Development, and QA teams to validate embedded control systems, execute lab testing, and improve test automation and validation processes.

Key Responsibilities

Requirements-Based Validation

• Collaborate with Systems Engineering teams to derive validation strategies and test plans from system requirements.
• Develop and maintain requirement-to-test case traceability.
• Ensure validation activities align with product specifications and engineering requirements.

Lab Test Execution

• Serve as the Controls Validation Point of Contact (POC) for lab validation activities.
• Execute validation tests on prototype hardware and embedded control systems.
• Document test procedures and record pass/fail outcomes with technical accuracy.

Documentation & Traceability

• Maintain organized test documentation including test plans, execution logs, and validation reports.
• Ensure traceability between requirements, test cases, and defect reports.

Defect Reporting & Tracking

• Identify, document, and report defects with clear technical descriptions and reproducible steps.
• Collaborate with development teams to analyze root causes and track defect resolution.

Reporting & Quality Reviews

• Prepare concise 2–3 slide technical summaries of test results and validation findings.
• Present validation updates during PRQRB/SQA or departmental review meetings.

Test Bench & HIL Development

• Design and build test bench setups and Hardware-in-the-Loop (HIL) simulators for validation.
• Support legacy platforms and existing validation environments.

Automation Development

• Contribute to Python-based test automation and validation frameworks.
• Identify opportunities to improve test efficiency through automation.

Product Support & Continuous Improvement

• Support new product development, sustaining engineering, and validation process improvements.
• Drive enhancements in test infrastructure, lab workflows, and validation methodologies.

Required Qualifications

• Bachelor’s degree in Controls Engineering, Software Engineering, Electrical Engineering, or related field.
• 5+ years of experience in embedded systems validation, SQA, or controls testing.
• Strong understanding of Software Quality Assurance (SQA) fundamentals, including test execution and documentation.
• Experience validating embedded control systems and equipment controls.
• Hands-on experience with lab-based validation and prototype testing.
• Knowledge of controls inputs/outputs, sensors, and system interfaces.
• Experience with bench wiring, test setup, and instrumentation.
• Strong analytical skills and familiarity with engineering basics such as heat exchangers and unit conversions.
• Experience with Python scripting and test automation.

Title: Python with AI(Only w2)

Location: Atlanta GA(Onsite/Only Locals)

Must have mins 10-12 years of overall years of experience

Must haves.

• Strong Python programming (OOP, typing, async programming).
• Experience with API development (FastAPI or Flask).
• PY-test framework knowledge for unit testing.
• Git hub branching familiarity
• Framework development experience with PyTorch, TensorFlow, Hugging Face Transformers, LangChain, OpenAI API
• Basic Cloud knowledge like server less compute, http traffic, CICD concepts

Nice to Have:

• Deep Learning: Neural networks, CNNs, RNNs, transformers, attention mechanisms.
• Azure: resource groups, container apps, vnet, logging, cosmos db.
• SQL (Query writing) experience like SQL server/Azure SQL/Oracle/PostgreSQL
• API security with AuthN/AuthZ understanding of OpenID or oAuth2 flows

If I missed your call ! Please drop me a mail.

Thank you,

Harish

Talent Acquisition

Astir IT Solutions, Inc - An E-Verified Company

Email:

Direct : 7326946000*788

50 Cragwood Rd. Suite # 219, South Plainfield, NJ 07080

Senior Software Engineer (Backend | Java/Python | AWS)

We're looking for a Senior Software Engineer to join a high-impact Metadata Engineering team focused on powering the backend systems behind large-scale streaming platforms.

This role is all about building the systems that organize, structure, and distribute content data — helping ensure a seamless viewing experience for millions of users.

What You'll Do

• Design and build scalable backend systems and services
• Own features end-to-end (design → development → deployment)
• Improve existing systems and workflows for performance and scalability
• Collaborate with cross-functional teams (Product, TPMs, Engineering)
• Mentor junior engineers and contribute to technical direction

What You Need

• 5+ years of backend software engineering experience
• Strong experience with Java and Python
• Hands-on experience with AWS (Lambda, SQS/SNS, Kinesis, DynamoDB, etc.)
• Experience with SQL and/or NoSQL databases
• Familiarity with event-driven architectures (Kafka, Kinesis, etc.)
• Strong understanding of data structures, algorithms, and system design
• Ability to work independently and solve complex problems

Nice to Have

• Experience with Graph databases (Neo4j)
• Familiarity with Terraform or GraphQL

Requirements

• Bachelor's degree in a STEM field
• Strong backend engineering background (non-negotiable)

Why This Role?

• Work on high-scale systems powering major streaming platforms
• Be part of a team shaping how content data is structured and delivered
• Opportunity to make a real impact on user experience at scale

City: Santa Monica, CA /Glendale, CA /Seattle, WA

Onsite/ Hybrid/ Remote: Hybrid (4 days onsite per week, no flexibility)

Duration: 10 Months

Rate Range: Upto $100/hr on W2

Work Authorization: GC, USC, All valid EADs except OPT, CPT, H1B

Must Have:

• Python
• Test automation framework development
• API testing
• UI testing
• Integration testing
• End-to-end acceptance testing
• CI/CD pipeline integration
• Jenkins or Spinnaker
• Gherkin / BDD / TDD
• SQL
• Database testing
• Backend testing
• Selenium
• ETL / data accuracy validation
• Big data exposure such as Spark or Hadoop

Responsibilities:

• Partner with software engineers to understand the advertising platform and define effective test strategies.
• Build and maintain automated test frameworks and test suites across UI, API, integration, and end-to-end layers.
• Participate in design discussions to improve platform testability and strengthen defect detection and prevention.
• Support issue triage, root cause analysis, and cross-team defect resolution.
• Create and execute manual test cases where automation is not practical.
• Convert manual test coverage into automated coverage wherever feasible.
• Validate backend workflows, database logic, and data accuracy across systems.
• Contribute within distributed Scrum teams operating in 2-week sprint cycles.

Qualifications:

• 4+ years of hands-on software test development experience across functional and non-functional testing.
• Strong Python proficiency with solid backend testing experience.
• Experience designing, building, and enhancing test automation frameworks.
• Strong experience in API, UI, integration, database, and end-to-end testing.
• Proficiency with CI/CD tools such as Jenkins, Spinnaker, or similar.
• Experience with Gherkin and BDD/TDD practices.
• Strong SQL skills, including query writing and optimization for database validation.
• Experience validating ETL pipelines, data quality, and data accuracy.
• Familiarity with distributed Agile/Scrum delivery environments.
• Bachelor's or Master's degree in Computer Science or related field, or equivalent experience.

Nice to Have:

• Big data testing experience with Spark or Hadoop
• Server-side application testing experience
• Advertising technology domain experience

Hello,

My Name is Praveen Kumar from Pronix Inc!!

Job Title: GCP Cloud Security Developer/ Python development with GCP -W2 Only

Location: Temple Terrace, FL | Irving, TX (Hybrid Position)

Job Type: Long term Contract

Interview Mode: Webcam Interview

Job Description:

• Bachelor's Degree.
• 5+ years of relevant work experience.
• 5+ years combined experience with GCP and Azure (minimum 4 years in GCP infrastructure, IAM, AI).
• 8+ years of Python development experience.
• 5+ years developing cloud automation solutions.
• Strong knowledge of PowerShell, Django, HTML, jQuery, Bash scripting.
• Experience with GCP SDK and CLI.
• Terraform proficiency.
• Linux and Windows system administration.
• Cloud networking and security expertise.
• Experience with JIRA, Jenkins, Ansible, Git, Confluence.
• Basic DB and SQL knowledge.
• Strong experience with GCP Cloud Functions and Azure Functions.
• Fluency in using AI-assisted coding tools (Gemini, Copilot) to accelerate automation.

Interested Candidates can share the resume to email :

Ph : 6 Six Zero Nine Three Seven Eight One One Four Two)

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Title: Machine Learning Engineer

Location: San Jose, CA

Responsibilities:

• Productize and optimize models from Research into reliable, performant, and cost-efficient services with clear SLOs (latency, availability, cost).
• Scale training across nodes/GPUs (DDP/FSDP/ZeRO, pipeline/tensor parallelism) and own throughput/time-to-train using profiling and optimization.
• Implement model-efficiency techniques (quantization, distillation, pruning, KV-cache, Flash Attention) for training and inference without materially degrading quality.
• Build and maintain model-serving systems (vLLM/Triton/TGI/ONNX/TensorRT/AITemplate) with batching, streaming, caching, and memory management.
• Integrate with vector/feature stores and data pipelines (FAISS/Milvus/Pinecone/pgvector; Parquet/Delta) as needed for production.
• Define and track performance and cost KPIs; run continuous improvement loops and capacity planning.
• Partner with ML Ops on CI/CD, telemetry/observability, model registries; partner with Scientists on reproducible handoffs and evaluations.

Educational Qualifications:

• Bachelors in computer science, Electrical/Computer Engineering, or a related field required; Master’s preferred (or equivalent industry experience).
• Strong systems/ML engineering with exposure to distributed training and inference optimization.

Industry Experience:

• 3–5 years in ML/AI engineering roles owning training and/or serving in production at scale.
• Demonstrated success delivering high-throughput, low-latency ML services with reliability and cost improvements.
• Experience collaborating across Research, Platform/Infra, Data, and Product functions.

Technical Skills:

• Familiarity with deep learning frameworks: PyTorch (primary), TensorFlow.
• Exposure to large model training techniques (DDP, FSDP, ZeRO, pipeline/tensor parallelism); distributed training experience a plus
• Optimization: experience profiling and optimizing code execution and model inference: (PTQ/QAT/AWQ/GPTQ), pruning, distillation, KV-cache optimization, Flash Attention
• Scalable serving: autoscaling, load balancing, streaming, batching, caching; collaboration with platform engineers.
• Data & storage: SQL/NoSQL, vector stores (FAISS/Milvus/Pinecone/pgvector), Parquet/Delta, object stores.
• Write performant, maintainable code
• Understanding of the full ML lifecycle: data collection, model training, deployment, inference, optimization, and evaluation.

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Onsite AI Engineer - Construction Industry Focus

New Haven, CT - Onsite 5 days per week

• Initial Assignment: Fully onsite 5 days per week at a construction site in Ft. Myers (FL) or New Haven (CT) for 1 year
• Post-Assignment: Relocation to one of the corporate offices for hybrid employment: Boston, MA (preferred), New York City (NY), New Haven (CT), Herndon (VA), West Palm Beach (FL), or Estero (FL)

Role Summary

As the on-site catalyst who turns AI ideas into working reality. Partnering with each project’s AI Champion (Project Manager or Superintendent), you’ll uncover pain points, redesign workflows, and deploy AI agents that cut down reporting, accelerate RFIs, simplify lookahead planning, progress updates, materials tracking, and more. When needed, you will develop user stories and coordinate development with the central AI Studio. You’ll help advance the vision of the “Construction Site of the Future,” showing how agentic AI will transform project operations.

Responsibilities

• Workflow discovery and redesign: Lead Lean/Six Sigma workshops; map value streams; log high-impact AI agent opportunities that improve field efficiency.
• AI agent development: Build and deploy multiple production-ready AI agents using Copilot Studio, Power Apps/Automate, ChatGPT Enterprise, or code-first frameworks. Integrate agents into Teams/SharePoint on the front end and Databricks Lakehouse or other enterprise data sources on the back end.
• RAG pipelines and LLMOps: Design and operate retrieval-augmented generation (RAG) pipelines with Databricks Delta Tables, Unity Catalog, and Vector Search (or Spark/Hadoop equivalents). Monitor cost, latency, adoption, and model drift.
• Cross-cloud orchestration: Blend OpenAI, Azure OpenAI, and AWS Bedrock services through secure custom connectors to maximize flexibility and adoption.
• Data integration: Partner with Data Engineering to deliver ETL/ELT pipelines, API integrations, and event-driven connectors that feed RAG pipelines and AI agents.
• Change management and adoption: Train field teams, gather feedback, iterate quickly, and embed agents into SOPs. Track usage and ROI with adoption metrics and behavior-change KPIs.
• Stakeholder communication: Translate technical results into business value for leadership and clients. Contribute use cases and playbooks for the “Construction Site of the Future.”
• Compliance and hand-offs: Ensure all AI solutions meet the company’s data governance and security standards. Draft clear user stories and specs for escalation to central AI/Data Engineering teams when necessary.

Qualifications

• 4+ years in AI engineering, data science, or ML-focused software engineering.
• Proven experience building multiple AI agents in production environments.
• 2+ years of hands-on experience with LLMs, RAG pipelines, and LLMOps practices.
• Must have strong traditional software engineering background in Python

Bonus Points

• Experience in construction, manufacturing, or other process-heavy industries.
• Advanced degree in a technical field.

Job Title: Senior Software Engineer

Reports To: Manager of Application Development

About the Role:

The Senior Software Engineer is a hands-on technical leadership position responsible for designing, building, and maintaining high-quality software solutions. This role emphasizes both individual development work and ownership of design decisions for features and subsystems. Modern tools, including AI-assisted development and architectural support, are leveraged to drive delivery while maintaining accountability for technical outcomes.

Responsibilities:

• Design, implement, test, and maintain scalable, secure, and reliable applications and services.
• Act as a senior technical contributor, with responsibility for the design and implementation of features and subsystems.
• Contribute actively to development tasks, applying advanced coding expertise in several programming languages and frameworks.
• Participate in architectural discussions and support incremental evolution of systems with team leads.
• Conduct code reviews and mentor engineering team members, fostering best practices and ongoing improvement.
• Translate requirements from product owners, business analysts, and stakeholders into technical solutions.
• Identify and mitigate technical risks in assigned systems and projects.
• Support and enhance cloud-based applications (Azure, AWS) with emphasis on performance, reliability, and scalability.
• Collaborate effectively with onshore and offshore teams to ensure successful project execution.
• Keep abreast of industry trends and new technologies to encourage innovation.
• Utilize AI-assisted tools to expedite design, documentation, and implementation, while ensuring technical quality.
• Lead and support AI-related initiatives, drawing on prior experience with AI/ML technologies; recommend and implement suitable AI tools and frameworks.
• Test and demonstrate emerging AI tools and platforms via proofs of concept (POCs) to highlight business value.
• Guide customers in leveraging AI to optimize business processes; support teams working on business-facing AI efforts.
• Collaborate with stakeholders to contribute to defining an AI roadmap aligned with organizational strategy and technology objectives.

Qualifications:

• Bachelor’s degree in Computer Science, Software Engineering, or a related field; Master’s degree preferred.
• A minimum of 5 years in a Senior Software Engineer, Lead Developer, or similar role, with proven success delivering production systems.

Required Skills:

• Strong understanding of software development methodologies (e.g., Agile, DevOps) and architectural frameworks.
• Proficient in programming languages such as C#, Python; excellent problem-solving and critical thinking skills.
• Web Development: Experience with modern front-end frameworks (e.g., React, Vue.js).
• Mobile Development: Knowledge of mobile app development tools (e.g., Cordova, Ionic).
• Cloud Development: Experience managing cloud-hosted applications, including Azure Functions and Event Hubs.
• Database Management: Ability to develop and debug stored procedures, views, and tables in SQL Server and MySQL; basic database administration for data integrity and security.
• API Development: Skilled at designing, building, and debugging APIs; experience with RESTful APIs and tools like POSTMAN and SOAPUI.
• DevOps: Designing branching strategies; implementing and maintaining CI/CD pipelines for test automation and deployment.
• Containerization: Experience with Docker and Kubernetes for application development and deployment.
• Security: Understanding of secure coding and application security best practices.

Preferred Skills:

• Ability to explain complex technical concepts to both technical and non-technical stakeholders.
• Effective teamwork, working with cross-functional groups including developers, project managers, and analysts.
• Strong problem-solving abilities and the capacity to make effective decisions under constraints.
• Leadership through mentoring and influencing technical direction.
• Adaptability to new technologies and changing environments.
• Critical thinking in evaluating options and making informed decisions.
• Effective time management across multiple projects.
• Empathy for team and stakeholder perspectives to foster collaboration.