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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.

POSITION SUMMARY

This position supports the work of the YMCA of Columbia-Willamette, a leading philanthropic organization committed to strengthening the foundations of our communities. The Leader, Healthy Living stewards the Ys cause and advocates for the Ys mission and strategic plan, promoting and protecting the brand and reputation as a global, inclusive organization.

The Leader, Healthy Living provides leadership for Membership and Healthy Living operations at the Beaverton Family YMCA, ensuring Membership goals, engagement strategies, and program experiences align with the YMCA of Columbia-Willamettes strategic priorities.

This position oversees Membership operations and Healthy Living programming including member engagement, group exercise, and family programs. The role is responsible for creating a welcoming and inclusive environment that supports Membership acquisition, engagement, and retention.

The Leader, Healthy Living develops and manages financial plans and strategies that support Membership growth and program participation. This role leads and develops Healthy Living staff to deliver high quality programs and a consistent, mission-driven member experience for the community.

What Success Looks Like in This Role

Membership growth and retention goals are consistently met or exceeded
Healthy Living staff are well trained, supported, and delivering excellent member service
Members feel welcomed, connected, and engaged in programs and services
Membership and Healthy Living initiatives align with branch and association strategic priorities

OUR CULTURE

We are a group of individuals committed to love, integrity, and humility.

We believe in each other and demonstrate it by holding ourselves and each other accountable, encouraging creativity and empowering each other to act in pursuit of our mission.

We will create lasting impact in our communities by how we look, how we behave, what we say, how we treat others, how we do our jobs, and how we live our lives.

FUNCTIONS

Reasonable Accommodations Statement

To perform this job successfully, an individual must be able to perform each duty satisfactorily. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the functions.

Essential Functions

Membership Acquisition, Engagement, Retention and Healthy Living Leadership:

This role is responsible for leading Membership growth, staff development, and the overall member experience at the Beaverton Family YMCA.

Drive Membership enrollment to meet or exceed revenue goals for the West Region and the Beaverton Family YMCA
Develop and implement annual Membership growth and retention goals with monthly, weekly, and daily action plans
Oversee Membership sales processes including Membership inquiries, tours, follow-up calls, enrollment procedures, closing ratios, surveys, and recruitment efforts
Monitor Membership statistics including enrollment, retention, engagement, and participation trends
Maintain accurate reports and provide data to support branch and association decision making
Manage the Membership and Healthy Living department budget

Lead and develop the Healthy Living staff team. Provide coaching, supervision, training, and performance feedback that supports staff growth and strong member service

Provide leadership and oversight for Healthy Living programming including member engagement initiatives, group exercise offerings, and family programs

Ensure staff awareness and understanding of YMCA programs and services, policies and procedures, and customer service and sales practices

Conduct regular staff meetings and training sessions to strengthen staff performance and service delivery

Collaborate with the Executive Director, association marketing communications team, and regional leadership teams to execute Membership enrollment and marketing awareness plans

Participate as an active member of the Membership CoLab, collaborating with Healthy Living leaders across the association to identify priorities and share best practices

Contribute to association-wide projects and operational priorities through participation in additional CoLabs such as Marketing or other cross-functional groups

Share insights and outcomes from CoLab discussions with branch leadership and support implementation of agreed-upon initiatives

Ensure the member experience is welcoming, inclusive, and consistent across Membership services and Healthy Living programs

Serve as the branch brand coach and support staff in communicating the YMCA cause

Identify local businesses and community partners for Membership recruitment and outreach

Represent the YMCA at community events and strengthen relationships with local organizations

Serve as a branch super-user for Daxko Accounting, Daxko Operations, and Daxko Engage systems

Additional Functions

Support and advance the YMCA of Columbia-Willamette mission and strategic plan
Participate in regional staff meetings, trainings, and association events
Build positive relationships with staff, volunteers, and community partners
Monitor local competition and national trends in Membership and Healthy Living programming
Respond appropriately to critical incidents and emergency situations
Perform other duties as assigned

Required Qualifications

Two (2) or more years of experience in sales, Membership operations, customer service leadership, or a related field with responsibility for revenue goals or Membership growth

Two (2) or more years of supervisory or staff leadership experience including hiring, training, or performance coaching

Experience managing budgets and meeting revenue goals

Strong oral and written communication skills

Ability to build relationships with staff, members, and community partners

Must pass YMCA background check

CPR and First Aid certification or ability to obtain within 30 days of employment

Must have reliable transportation

Complete YMCA Learning and Leadership training pathway within required timelines

Preferred Qualifications

Bachelors degree in business administration, recreation management, public relations, or a related field or equivalent experience

Experience working in a YMCA or other membership-based organization

Experience with Daxko or similar Membership management software

WORK ENVIRONMENT

Work is performed primarily in person at the Beaverton Family YMCA. Some work may occur during evenings or weekends depending on programming, staff schedules, and community events. Occasional regional travel may be required.

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Required

Preferred

Job Industries

• Other

Job Title: Sr. Automation Engineer

Location: Hillsboro, OR

Job Summary

Panasonic Avionics Corporation is seeking Senior Automation Engineers to lead and enhance advanced automation solutions for embedded and UI-driven systems. The ideal candidates will bring deep expertise in Python-based automation, Robot Framework, and QNX environments, with a strong focus on scalable test architecture, framework migration, and high-volume regression execution. This role requires hands-on technical leadership, cross-layer debugging skills, and collaboration within complex embedded and aviation-grade systems.

Mandatory Technical Skills

(Minimum 5+ years of hands-on experience in each)

• Python automation using Pytest or Robot Framework
• QNX OS (POSIX-compliant systems)
• UX/UI Automation & Testing

Key Responsibilities

• Design, architect, and enhance scalable automation frameworks using Python and Pytest.
• Perform migration of automation assets from Robot Framework to Python/Pytest, ensuring feature parity and long-term maintainability.
• Analyze and interpret large Robot Framework keyword libraries and enable reuse within Python-based executions.
• Optimize hybrid execution models involving both Pytest and Robot Framework assets.
• Develop wrapper layers, fixtures, utilities, and reusable automation components.
• Independently debug complex cross-layer automation issues spanning Python, Robot Framework, QNX OS, and device-level tools.
• Integrate automation frameworks with CI/CD pipelines using tools such as Jenkins, GitLab CI, or Azure DevOps.
• Execute and maintain UI and device automation using Appium, Selenium, or equivalent tools.
• Enforce modular test design principles, including page-object and page-keyword patterns, to ensure long-term automation maintainability.
• Mentor junior engineers and uphold automation design, coding standards, and best practices.

Required Qualifications

• 5+ years of hands-on experience with Python automation and Pytest.
• Strong practical experience with Robot Framework, including keywords, resources, variables, and test structuring.
• Proven experience managing and maintaining large keyword repositories (1000+ keywords).
• Experience working with QNX OS, POSIX systems, Hypervisor-based virtualization, and Cloud environments (AWS).
• Solid understanding of Git version control, branching strategies, and CI/CD workflows.
• Experience with UI and device automation tools such as Appium and Selenium.
• Strong analytical, debugging, and problem-solving skills with the ability to work independently.
• Excellent communication skills and experience working in cross-functional teams.

Preferred Qualifications

• Experience in mobility, embedded systems, aviation, or high-volume regression environments.
• Exposure to automation framework migration, cross-framework interoperability, or keyword reuse models.
• Bachelor’s degree in Computer Science, Electronics, Engineering, or a related field.

Job Description:

We are seeking a highly experienced Senior Automation Engineer to join our advanced software and embedded systems team. The ideal candidate will have deep expertise in Python automation (Pytest), Robot Framework, and QNX environments, with strong skills in UX/UI automation and testing. This role involves enhancing and migrating automation frameworks, debugging complex integrations, and working closely with cross-functional teams to deliver high-quality test automation solutions for embedded systems and entertainment platforms.

Key Responsibilities

Automation Framework Development

• Architect, develop, and maintain automation frameworks primarily using Python and Pytest.
• Lead migration of existing Robot Framework tests to Python/Pytest equivalents.
• Build reusable fixtures, utilities, wrapper layers, and automation components to support large test suites.

Test Execution & Optimization

• Analyze and interpret Robot Framework keyword libraries; enable efficient reuse within Python-based executions.
• Optimize hybrid execution flows involving both Pytest and Robot Framework assets.
• Execute and maintain UI and device automation tests using tools such as Appium, Selenium, or equivalent frameworks.

Cross-Layer Debugging & Integration

• Independently debug cross-layer automation issues involving Python, Robot Framework, device tools, and operating systems.
• Integrate automation frameworks with CI/CD pipelines and tools (e.g., Jenkins, GitLab, Azure DevOps).

Collaboration & Mentorship

• Mentor and guide junior automation engineers, establishing good coding practices, test design patterns, and quality standards.
• Work collaboratively with software engineers, product developers, and QA teams to enhance automation coverage and reliability.

System & Environment Interaction

• Work with QNX OS, virtualization systems (Hypervisor), and cloud environments (AWS).
• Engage with hardware interfacing (USB, Ethernet, multimedia interfaces) and hardware simulation/ fault-injection where applicable (nice-to-have).

Required Skills & Experience

• 7–10 years experience in automation engineering with 5+ years hands-on Python automation using Pytest.
• Practical experience with Robot Framework including keywords, variables, resources, and large keyword repositories.
• Strong skills in UI automation using tools such as Appium/Selenium.
• Solid understanding of modular test design and maintainable patterns (page-object, keyword patterns).
• Experience with QNX (Posix) operating system, virtualization (e.g., Hypervisor), and cloud-based environments (preferably AWS).
• Good understanding of Git, branching strategies, and CI/CD workflows.
• Proven ability to debug complex, multi-layered test automation environments.

Preferred Qualifications

• Exposure to embedded systems, aviation, or high-volume regression environments.
• Experience in framework migration, cross-framework interoperability, or keyword reuse models.
• Background in hardware interactions and media/UX systems (multimedia I/O, touch interactions).
• Familiarity with fault injection tools and hardware simulation techniques.
• Bachelor’s degree in Computer Science, Electronics, or related technical field.

Nice-to-Have Skills

• Hardware interfacing (USB, Ethernet), multimedia interfaces (touch, audio/video).
• Fault-injection and hardware simulation experience.
• Knowledge of peripheral communication protocols (e.g., GMSL, IP).

• 
  
• A typical day will involve a mix of hands-on coding, architectural design, and research.
  
• The engineer will spend a significant portion of their time in Python, building and optimizing agentic AI systems using frameworks like LangChain.
  
• This includes integrating these agents with our backend services and deploying them using CI/CD pipelines into our cloud environment.
  
• They will also be responsible for researching and testing new agentic models and frameworks, monitoring agent behavior in production, and collaborating with data scientists and business stakeholders to refine requirements and ensure the ethical deployment of AI solutions.
  

• 
  
• Python
  
• JavaScript/TypeScript
  
• AI Tools and Libraries (e.g. LangGraph, LangChain, Deep Agents, Claude Skills, etc.)
  
• AI Models (e.g. Claude, OpenAI, etc.)
  
• AI Concepts (e.g. Prompt Engineering, RAG, Agentic AI, etc.)
  
• Distributed SDLC/DevOps (e.g. github, pipelines, VS Code, testing frameworks, etc.)
  
• Platforms (Container Platforms, Cloud Platforms, Document Databases, AWS)
  
• API Design
  

• 
  
• Deep hands-on experience in Python for AI/ML development.
  

• 
  
• Generative AI Development: Proven experience developing Gen AI or AI/ML solutions, from use case conceptualization to production deployment.
  
• Infrastructure & DevOps: Strong understanding of cloud environments (AWS preferred), LLM hosting, CI/CD pipelines, Docker, and Kubernetes.
  
• Agentic AI Concepts: Knowledge of agentic/autonomous systems (e.g., reasoning, planning, tool use).
  

• 
  
• Proficiency in Python development and FastAPI/Flask frameworks, along with SQL.
  
• Familiarity with agentic AI frameworks and concepts such as LangChain, LangGraph, AutoGen, Model Context Protocol (MCP), Chain of Thought prompting, knowledge stores, and embeddings.
  
• Experience developing autonomous agents using cloud-based AI services.
  
• Experience with prompt engineering techniques and model fine-tuning.
  
• Strong understanding of reinforcement learning, planning algorithms, and multi-agent systems.
  
• Experience working across cloud platforms (AWS, Azure, GCP) and deploying AI solutions at scale.
  

Job Title: SDET / QA Automation Engineer

Location: Mount Laurel- NJ

Duration: Long Term

Job Description:

Job Summary:

We are seeking a highly skilled and experienced SDET / QA Automation Engineer with 8 to 10 years of expertise in Python, JavaScript, and modern automation frameworks. This position involves developing automation solutions, microservices, and test scripts while validating end‑to‑end network components and their behavior. The candidate should have strong domain knowledge in networking and cable technologies, with the ability to collaborate effectively with clients and cross‑functional teams.

Key Responsibilities:

• Develop microservices using Python, NodeJS, and Golang as part of automation and service validations.
• Develop standalone Python/NodeJS scripts to simulate network traffic and validate performance across different endpoints.
• Create Proof of Concepts (POCs) based on client needs and actively participate in client demos and technical discussions.
• Lead the creation of test strategies and manage test environments with both physical and virtual device setups.
• Create comprehensive test scenarios and automated test scripts using MochaJS, ensuring robust coverage of functional, integration, and regression test cases.
• Design reusable test components, validate API and microservice behavior, and integrate MochaJS test suites into the existing automation framework to enhance reliability and execution efficiency.
• Collaborate with cross‑functional teams to refine requirements, improve test coverage, and ensure smooth integration with CI/CD pipelines.
• Gather requirements and perform detailed analysis for new automation scenarios and test case development.
• Support manual and automation testing across applications, devices, and servers as required.
• Ensure code quality using tools like SonarQube and adhere to strict QA standards.
• Provide technical guidance, troubleshooting support, and mentorship to team members on tasks and issues raised by the client.
• Maintain version control and branching strategies using GitHub, ensuring high code integrity and traceability.
• Monitor automation execution, analyze failures, and drive root‑cause investigations to improve overall product quality.
• Document technical workflows, automation processes, and test scenarios to ensure long-term maintainability and knowledge sharing.

Required Skills & Experience:

• 8-10 years of experience in QA/SDET automation roles.
• Strong programming knowledge with Python and JavaScript.
• Good hands-on experience with Go Lang and NodeJS.
• Hands-on experience with MochaJS for scripting and automated testing.
• Excellent knowledge with web technologies like REST, SOAP, XML and JSON
• Proficiency in API testing using Bruno/ Postman.
• Familiarity with GitHub for version control and Jira for project tracking.
• Excellent domain knowledge in Network and cable domain
• Should be familiar with IMS architecture and SIP protocols.
• Good problem-solving and debugging skills.

Should have good communication and client interaction skills.

Currently seeking multiple Full Stack Developers in support of the of U.S. Citizenship and Immigration Services (USCIS) Engineering Support for Identity Services (ESIS), this individual will support Agile Application Development technologies and capabilities in the areas of software development, systems engineering, integration, and test of software applications and infrastructure. Will be skilled with front-end, back-end, and database development. Design and implement full stack cloud solutions to include IaaS, PaaS, and SaaS. Design and deploy computing infrastructure, physical or virtual machines and other resources like virtual-machine disk image library, block and file-based storage, firewalls, load balancers, IP addresses, virtual local area networks. Implement cloud-based platform services for AWS. Implement cloud-based software as service for AWS. Perform DevOps functions.

Key Skills:

• 10+ years of experience with full stack engineering with proficiency in database development/integration as well as server and client application development/integration
• Software developing experience using Python and Java Spring framework
• Experience with other software technologies such as Web Services (SOAP/REST), React/Angular, VS Code, SQL, Gradle, and/or Git
• AWS experience required with experience deploying enterprise applications in AWS
• Experience with CI/CD environment tools such as Docker, Jenkins, Ansible, Kubernetes

• Software development with Python, Java, React, and various scripting languages
• Design data models and web APIs and creation of software tasks from system requirements
• Perform requirements analysis, design, development, unit, and integration testing of software, troubleshooting and debugging of the system
• Immediate responsibilities will include enhancing and maintaining the existing system as well as design, development, and documentation of new features
• Create Git Releases, pull request and code reviews
• Query logs utilizing Splunk and will monitor dashboarding utilizing New Relic
• Usage of Atlassian Tools for day to day tasks within the Scrum process
• Implement web services, data persistence access features and external interfaces
• Partner closely with front-end and database engineers to ensure features are developed holistically
• Follow Agile software development methodology and team architecture standards.
• Will need to be able to read Architecture Diagrams
• Perform test service to improve code coverage, mocking services, test driven development and unit testing
• Will modify Helm Charts, Jenkinsfiles, and Dockerfiles

• MUST BE US CITIZEN
• Bachelor's degree required
• Must be able to obtain and maintain a Public Trust security clearance
• 10+ years expereince in Software Engineering
• Must have experience in Python and Java Spring Framework (Boot, Batch, Data, Security)
• Must have experience with other software technologies such as Web Services (SOAP/REST), React/Angular, VS Code, SQL, Gradle, and/or Git
• Experience with design, development, enhancement, troubleshooting and debugging of web applications
• Must have experience in AWS cloud environment and with CI/CD tools (ie. Docker, Jenkins, Kubernetes) for deployment processes, monitoring production environments, and modifying docker/Jenkins files and helm charts
• Experience with scripting languages (Python, Bash, Powershell, Perl) is not required but nice to have
• Understanding of the concept of branching and utilizing technological tools such as Git, VS Code, and/or Rancher to perform
• Experience with creating Git releases, creating pull requests, and reviewing code
• Experience monitoring dashboards utilizing New Relic
• Experience with Splunk to query logs
• Experience with Junit testing preferred
• Experience creating release instructions utilizing JIRA
• Experience developing and integrating complex software systems through the full SDLC
• Experience with Agile Scrum
• Must have strong written and verbal communication skills