AI/ML Engineer/ Gen AI Engineer

Talent Acquisition Specialist at Intellectt. Inc Location: Remote Position Overview The candidate will be responsible for designing, developing, and deploying machine learning models and AI-driven solutions to support healthcare analytics, improve operational efficiency, and drive business insights. This role requires strong expertise in machine learning, data engineering, cloud platforms, and end-to-end model lifecycle management. Key Responsibilities Develop and implement scalable machine learning models for predictive analytics, classification, NLP, and optimization use cases. Work closely with data engineers and analysts to gather requirements, understand business problems, and translate them into ML solutions. Perform data preprocessing, feature engineering, model tuning, and validation. Build reusable ML pipelines and automate workflows through MLOps frameworks. Deploy models into production using cloud-native services (Azure, AWS, or GCP). Monitor and optimize model performance and ensure long-term model stability. Collaborate cross-functionally with product, engineering, and business stakeholders within Optum. Document solution designs, model behavior, and deployment architecture. Mandatory Skills Strong programming skills in Python (Num Py, Pandas, Scikit-learn, Tensor Flow / PyTorch). Experience building ML models end-to-end, including training, validation, deployment, and monitoring. Hands‑on experience with NLP, LLMs, or generative AI technologies (Hugging Face, Lang Chain preferred). Knowledge of cloud platforms such as Azure, AWS, or GCP (Optum widely uses Azure & GCP). Familiarity with MLOps tools such as MLflow, Kubeflow, Vertex AI, Sage Maker, or Azure ML Studio. Seniority level Mid-Senior level Employment type Contract Job function Information Technology Industries Software Development