Senior Python Machine Learning Engineer - AI & Generative AI Focus
Design, build, and deploy AI/ML solutions using Python. Collaborate cross-functionally to solve complex challenges. Influence AI initiatives and shape AI application across the business.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
Role: Senior Python ML Engineer
Fully Remote, EST Time Zones Only
I'm hiring a Senior Python ML Engineer to join a team focused on building and scaling AI-powered applications, intelligent agents, and machine learning solutions that deliver measurable business impact.
This is an opportunity to work on complex, high-visibility initiatives at the intersection of software engineering, machine learning, and generative AI. The role is ideal for someone who enjoys solving difficult problems, building production-grade systems, and turning emerging AI capabilities into practical business solutions.
What you'll do:
- Design, build, and deploy AI and machine learning solutions using Python.
- Develop and enhance LLM-powered applications, agents, and workflow automation systems.
- Build solutions that leverage business and operational data to generate insights, recommendations, and efficiencies.
- Collaborate with engineering teams, business stakeholders, and subject matter experts to solve complex challenges.
- Integrate AI systems with enterprise platforms, APIs, and structured and unstructured data sources.
- Establish scalable frameworks for evaluation, deployment, monitoring, and continuous improvement of AI systems.
- Explore and implement approaches such as RAG, agent orchestration, model adaptation, and fine-tuning where appropriate.
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What I'm looking for:
- Strong Python software engineering experience.
- Proven experience building and deploying production-grade AI/ML systems.
- Hands-on experience with LLMs, generative AI, or agent-based applications.
- Strong understanding of the full AI lifecycle, from experimentation and data preparation through deployment and monitoring.
- Experience evaluating model quality, reliability, and real-world business impact.
- Ability to translate complex business requirements into scalable technical solutions.
- Strong communication skills and the ability to work across technical and non-technical teams.
- A pragmatic, outcome-oriented engineer who can take ideas from concept to production.
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The ideal candidate is an engineer first, with a track record of delivering AI solutions in real-world
environments. You'll have the opportunity to influence the direction of AI initiatives, work with modern technologies, and help shape how AI is applied across the business.
If you're passionate about building reliable, scalable AI products and have experience taking machine learning solutions into production, I'd love to connect - [email protected]
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