Nidus Technologies
Website:
nidustechnologies.com
Job details:
Company Description
Nidus Technologies is a fast-growing IT services and consulting firm dedicated to driving digital transformation and innovation. Serving a diverse range of industries, we deliver tailored technological solutions that empower businesses to thrive in an ever-evolving digital world. Our expert team combines strategic planning, advanced technology, and industry-specific knowledge to enable operational excellence. We pride ourselves on delivering meaningful results, ensuring our clients remain future-ready in today’s competitive landscape.
Role Description
This is a full-time hybrid role for an AI/ML Engineer, based in Delhi NCR region. The selected candidate will be responsible for designing and implementing machine learning models, developing algorithms, and conducting data analysis to build AI-driven solutions. Daily responsibilities may include researching new methodologies, optimizing existing systems, applying statistical techniques, and collaborating with cross-functional teams to meet project requirements. The engineer will play a vital role in improving the accuracy and efficiency of our systems and driving innovation within the organization.
The AI/ML Engineer should have 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).
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.
Qualifications
- 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.
- Exposure to large scale AI delivery models
- Strong problem solving and ability to break down complex AI tasks.
- Clear communication with U.S. stakeholders.
- Passion for healthcare transformation through AI.
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