Senior Machine Learning Engineer, Manager

Jobtailor; Missouri; On-site; USD 180,000 - 240,000; Part time

Job summary

Jobtailor is seeking a senior ML/AI leader to define and execute a strategic roadmap across the company. You will drive the delivery of ML/AI solutions, collaborating with management and stakeholders to translate plans into quarterly actions.

The role emphasizes scalable, secure systems and high-quality, well-tested architectures. Ideal candidates have deep hands-on experience with ML/LLM, production services, and ML Ops, plus a track record of tackling complex technical challenges in

Qualifications

• PhD or MS with extensive experience in ML/AI and software engineering.
• Hands-on experience designing and deploying advanced ML models.
• Strong focus on reliability, scalability and operational excellence.

Responsibilities

• Lead the vision and strategic execution with focus on long-term value creation.
• Collaborate with management to define roadmaps and quarterly plans.
• Drive delivery of ML/AI solutions, managing priorities and deadlines.
• Design scalable, secure systems using state-of-the-art AI/ML technologies.
• Troubleshoot complex issues to improve reliability and efficiency.

Skills

ML/AI modeling

Production ML services

ML Ops

Software engineering

Education

PhD in CS/Stats/Economics

MS in related field

Job description

Responsibilities

• Lead the vision and the strategic execution with a strong focus on continuous and long-term value creation across all participants of our flywheel
• Collaborate with management and stakeholders to define strategic roadmaps and translate them into actionable quarterly plans.
• Drive execution and delivery of ML/AI solutions by managing priorities, deadlines, and deliverables, leveraging your technical expertise.
• Design and deliver scalable, secure systems using state-of-the-art AI/ML technologies and industry best practices, and nurture the culture of creating high-quality, well-tested systems to address critical product and business needs.
• Troubleshoot and resolve complex technical issues to improve system reliability, scalability, and operational efficiency.

Requirements

• PhD in Computer Science, Stats, Economics, or a relevant technical field with at least 8+ years of relevant experience or MS with at least 10+ years of experience in machine learning and software engineering
• 8+ years of hands‑on experience designing, building and deploying AI (ML, DL, Gen-AI) models, including Reinforcement Learning algorithms, Recommendation systems, Transformers, fine‑tuned LLMs, Regressions, etc.
• Hands‑on expertise in scaling and maintaining production‑grade ML services, with a strong focus on ML/LLM Operations (versioning, automation, observability, automated training and monitoring, etc.)
• Passion for identifying new business opportunities and experience of using a test and learn approach to bring scalable and efficient solutions integrating AI algorithms, ML/LLM Ops, and s/w engineering
• Strong problem‑solving skills with bias for action.