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IW

AI/ML Engineer

Info Way Solutions LLC
🇮🇳 India
Remote
7 months ago
  • AI/ML
  • Machine Learning
  • Natural Language Processing
  • AI
  • Microservices
  • EHR
  • MLOps
  • CI/CD
  • MLflow
  • Databricks
  • Airflow
  • Argo
  • Kubernetes
  • RAG
  • Agile
  • Python
  • PyTorch
  • TensorFlow
  • SQL
  • Azure
  • AWS
  • GCP
  • HIPAA
  • RBAC
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We have a requirement forAI/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 strong healthcare domain exposure (claims, clinical data, provider/payor workflows). Prior Optum/Health Care Company/Health Care Company experience is highly preferred.
________________________________________
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.
•  Strong 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 · Info Way Solutions LLC

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