Lead ML Engineer (ML lifecycle - model development, deployment, monitoring) - FutureTech Consultants LLC
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Job Role: Senior ML Engineer Job Location: REMOTE USA Job Type: Permanent Hire/FTE
Job Description:
We re seeking a Senior/Lead ML Engineer to play a pivotal role in advancing enterprise AI and intelligent data applications. This is a hands-on role that bridges machine learning, data engineering, and software development to deliver real-world impact. The ideal candidate thrives in fast-paced, high-standard engineering environments and is ready to step into a role with strong career growth opportunities, including senior engineering and technical leadership paths.
What You ll Do
Tech Stack
Requirements
Job Description:
We re seeking a Senior/Lead ML Engineer to play a pivotal role in advancing enterprise AI and intelligent data applications. This is a hands-on role that bridges machine learning, data engineering, and software development to deliver real-world impact. The ideal candidate thrives in fast-paced, high-standard engineering environments and is ready to step into a role with strong career growth opportunities, including senior engineering and technical leadership paths.
What You ll Do
- Lead platform upgrades to ensure products remain cutting-edge and effective.
- Design and manage dynamic dashboards using a Python SDK, turning data into actionable visual insights for decision-making.
- Optimize data pipelines and access patterns to improve performance and scalability.
- Tackle runtime and performance challenges, ensuring reliability and responsiveness.
- Architect robust, user-friendly, and scalable applications that account for current and future needs.
- Collaborate closely with Product Managers to improve usability and deliver value to end users.
Tech Stack
- Python (primary language)
- Docker, Git, ML libraries (pandas, numpy, scikit-learn, PyTorch)
- CI/CD pipelines, monitoring, testing frameworks
Requirements
- 4+ years of professional Python software engineering experience with a focus on production ML deployment (not just research or prototyping).
- Proven experience delivering end-to-end ML lifecycle: model development deployment monitoring.
- Strong production systems experience in rigorous engineering environments.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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