Machine Learning Operations Engineer (AI/ML) – Remote

About the role

FullStack is seeking a Machine Learning Operations Engineer to join its talent network and work on AI/ML projects for U.S. clients. You will integrate directly into client teams, collaborating with designers and engineers to deploy and maintain ML models in production.

Key responsibilities

• Deploy machine learning and AI models to production environments via APIs or endpoints.
• Implement MLOps practices such as model tracking, versioning, monitoring, and lifecycle management.
• Work with large, complex systems and contribute to internal libraries as needed.
• Maintain CI/CD pipelines and ensure continuous delivery of ML applications.

Required profile

• 3+ years of professional software development experience with ML and MLOps.
• Advanced English proficiency and a completed four‑year college degree.
• Proven ability to work on Agile/Scrum teams and take extreme ownership of deliverables.
• Authorized to work in Pakistan on a full‑time basis.

Required skills

• Python programming for ML development and automation.
• Experience with containerization, cloud platforms, and CI/CD workflows.
• Familiarity with ML lifecycle tools such as MLflow.
• Knowledge of data platforms like Databricks, Snowflake, Spark, or BigQuery.
• Hands‑on experience with LLMs, Generative AI, Retrieval‑Augmented Generation, LangChain or LangGraph.

What we offer

• Competitive pay and 100% remote work.
• Opportunities to work with leading startups and Fortune 500 companies.
• Continuing education and career growth possibilities.
• A diverse, inclusive, and accessible work environment.