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 (NumPy, Pandas, Scikit-learn, TensorFlow / 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, LangChain 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, SageMaker, or Azure ML Studio.
Seniority level
Mid-Senior level
Employment type
Contract
Job function
Information Technology
Industries
Software Development
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