We have a requirement for AI/ML Engineer:

Payrate: $8 - $11/hr

Kindly go through the requirement details mentioned below

Location Offshore (Preferably from cities where Infosys Development Centers are located)

Work mode: Remote (Will need to visit DC if required)

AI/ML Engineer

Seeking AI/ML Engineers with 3–7 years of hands on experience building scalable ML and GenAI solutions. Candidates must have solid healthcare domain exposure (claims, clinical data, provider/payor workflows).

Prior

Optum/Health Care Company/Health Care Company experience is highly preferred.

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Key Responsibilities

AI/ML Engineering

- Build and deploy production grade ML, NLP, and LLM/GenAI models.
- Implement modern AI architecture patterns: microservices, feature stores, real time/batch inference, embeddings, and retrieval pipelines.
- Convert functional requirements into scalable AI solutions.

Model Development

- Develop and optimize models for claims automation, fraud detection, risk prediction, provider optimization, and document AI.
- Ensure models meet performance, reliability, and scalability standards.

Data & Integration





- Work with data engineering teams to integrate models with healthcare datasets (claims, EHR, clinical notes, PA/UM workflows).
- Ensure PHI/PII safe, compliant pipelines.

MLOps / Platform

- Implement CI/CD for ML/LLM workloads using MLflow, Vertex, SageMaker, Databricks, Airflow, Argo, and Kubernetes.
- Apply LLM Ops foundations for RAG and GenAI use cases.

Collaboration & Delivery

- Work cross functionally with product, cloud engineering, SMEs, and clinical teams.
- Participate in Agile processes and document reusable patterns and decisions.

Required skills

- 3–7 years AI/ML engineering experience.
- Solid skills in Python (PyTorch/TensorFlow), NLP/LLMs/transformers, GenAI tooling, SQL, and data pipelines.
- Experience deploying ML/LLM systems in Azure/AWS/GCP.
- Solid understanding of U.S. healthcare data and compliant solution design (HIPAA, RBAC, audit logging).
- Experience working in ML Ops / LLM Ops environments.

Additional Note

Soft Skills

- Strong problem solving and ability to break down complex AI tasks.
- Clear communication with U.S. stakeholders.
- Passion for healthcare transformation through AI.

📌 AI/ML Engineer (India)
🏢 Infowaysolutions
📍 India