New · Job Board MCP
Connect Claude, Codex, Copilot, Cursor, or Windsurf to InterviewStack. It finds roles that genuinely fit your resume and saves the best ones to your tracker, running free on a local open model, with your resume never leaving your machine.
Every posting is de-duped, the real hiring company identified, and salary, location, work mode and seniority normalized, then mapped to 80+ defined roles. Your AI filters clean, classified data, not keyword noise.
Run the matching on a local open model (Ollama + Qwen, Llama): no API keys, no per-token bills, and your resume stays on your machine. Or use the assistant you already pay for.
Set it once: every morning your assistant finds fresh matches and saves the best to your applications, each with a concrete note on why it fits. You review and apply.
Omega Hires
Senior Data Scientist / AI & Machine Learning Engineer
Position: Senior Data Scientist / AI & Machine Learning Engineer
Location: Conshohocken, PA – Flexible hybrid (onsite approximately once per month, with additional visits potentially needed during onboarding)
Duration: 6–9 month contract with potential extensions into 2027 Start: ASAP Position
Overview: The / AI Engineer to help develop and deploy advanced machine learning and AI solutions. The team is focused on Agentic AI, Large Language Models (LLMs), recommendation engines, and personalization to improve the digital customer experience.
Key Responsibilities:- Design, develop, and deploy machine learning models and AI solutions into production.- Build AI agents, Agentic AI workflows, and LLM-powered applications.- Develop and enhance recommendation engines, personalization models, and search algorithms.- Work with engineering teams on data pipelines, integrations, and MLOps.- Maintain and optimize existing ML models, algorithms, and AI applications. Required
Qualifications:- 5+ years of hands-on Data Science, Machine Learning, or AI Engineering experience.- Strong Python and SQL skills.- Experience with PyTorch, TensorFlow, or Scikit-learn.- Hands-on experience deploying and maintaining ML models in production.- Experience developing LLM applications, Generative AI, or Agentic AI solutions.- Experience with cloud platforms (GCP or AWS) and MLOps.- Advanced degree in a related technical field preferred.
Nice to Have:- Experience developing AI agents and multistep agent workflows.- Recommendation engines, personalization, or e-commerce experience.- Knowledge Graphs, Neo4j, or Databricks. The biggest priority for the team is finding someone who has personally built and deployed AI/ML solutions, particularly AI agents, rather than someone whose experience is primarily reporting or analytics.
This job is found at InterviewStack.io
Staffing and Recruiting company focused on client success.
