MLOps Engineer // W2 Only

Job Title: MLOps Engineer Location: Remote Duration: 6+ Months (Long-Term, Ongoing to Full Time) Note: Independent candidates only. Required Technical Skills Foundational Skills • Strong proficiency in Python and SQL (must be advanced). • Experience with cloud platforms (GCP preferred; AWS/Azure acceptable). • Understanding of data engineering principles: pipelines, ingestion, orchestration. • Hands-on experience with BigQuery or similar cloud data warehouses. Machine Learning Engineering • Solid understanding of supervised/unsupervised learning, model types, and evaluation methods. • Experience with ML frameworks: TensorFlow, PyTorch, or equivalent. • Ability to optimize, tune, and deploy pre-trained or custom ML models. MLOps • Hands-on experience with: • Vertex AI (preferred) • MLflow, SageMaker, or similar platforms • Kubeflow Pipelines or comparable pipeline frameworks • Understanding of model deployment, monitoring, CI/CD, and lifecycle management. AI Engineering (Nice to Have) • Experience building or deploying AI agents or agentic workflows. • Familiarity with: • LangChain, LangGraph • OpenAI, Gemini, Anthropic APIs • Ability to discuss design patterns, trade-offs, and production considerations in agentic architecture. Preferred Qualifications • 4+ years in ML engineering, MLOps, or data engineering. • Experience with Apache Beam, Dataflow, or Airflow/Composer. • Prior work in enterprise environments with evolving ML/AI maturity. • Strong analytical and problem-solving skills. • Academic experience in ML/AI is a plus for mid-level candidates.