Lead Data Science Engineer

Title – Lead Data Science Engineer(ML)

Location – Irving, TX (onsite)

Duration – 12months contract – W2

Job Description:

We are seeking a Lead Data Science Engineer specializing in Machine Learning Operations (MLOps) to join our growing Data & AI practice. In this role, you will own the end-to-end ML lifecycle — from experimentation and model development to automated deployment and production monitoring — using MLflow as the central platform for experiment tracking, model registry, and deployment orchestration.

Leadership & Collaboration

•      Lead a team of 3–6 ML engineers and data scientists; conduct design reviews and mentor junior talent

•      Collaborate with client stakeholders to gather requirements, translate them into ML system architecture, and communicate trade-offs

•      Define MLOps maturity roadmaps for client engagements and internal projects

REQUIRED QUALIFICATIONS

Overall 12+ yrs of experience

•      8+ years of experience in data science, ML engineering, or a closely related discipline

•      5+ years of hands-on MLflow usage across Tracking, Projects, Models, and Registry components

•      Strong proficiency in Python; experience with ML frameworks: scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow

•      Demonstrated experience building production-grade ML pipelines on at least one major cloud platform (AWS, Azure, Google Cloud Platform)

•      Deep knowledge of containerization (Docker, Kubernetes) and infrastructure-as-code (Terraform, Helm)

•      Experience with feature store design, data versioning (DVC), and model governance frameworks

•      Strong SQL and working knowledge of distributed computing (Spark, Dask)

•      Excellent communication skills; ability to present technical concepts to executive and non-technical audiences