AI/ML Developer

Role Summary

We are seeking a highly skilled Senior AI/ML Developer to design, architect, and deliver enterprise-grade Generative AI solutions , with a strong focus on healthcare use cases . The ideal candidate will combine deep technical expertise in machine learning, large language models (LLMs), and software engineering to build scalable, secure, and responsible AI systems.

Develop and maintain end-to-end AI pipelines , including

• Data preprocessing
• Feature engineering
• Model training and evaluation
• Solution Design & Integration

Build extensible APIs and integrations to connect AI models with enterprise systems.

Develop low-code/no-code UI/UX solutions for rapid delivery cycles.

Design structured outputs (JSON, arrays, HTML) with nested nodes , ensuring seamless frontend/dashboard consumption .

Implement solutions integrating LLMs (e.g., GPT models) to extract insights and deliver actionable data.

Cloud & Distributed Systems

Architect and deploy solutions on cloud platforms such as AWS, Azure, or GCP.

Build and maintain distributed, scalable systems for AI workloads.

Optimize models and systems for performance, scalability, and efficiency .

AI Optimization & Prompt Engineering

Optimize generative AI models for improved accuracy and response quality.

Develop effective prompt engineering strategies based on understanding how AI interprets data.

Implement advanced use cases such as

• Retrieval-Augmented Generation (RAG)
• Conversational systems
• Summarization and translation
• Responsible AI & Governance

Design solutions aligned with Responsible AI principles

• Fairness
• Transparency
• Security
• Accountability

Identify, assess, and mitigate risks associated with generative AI systems .

Ensure compliance with privacy and data protection standards , especially in healthcare environments.

Collaboration & Documentation

Collaborate closely with cross-functional teams including Product, Data, and Engineering.

Translate business problems into actionable AI-driven solutions .

Create clear documentation

• Technical specifications
• Architecture diagrams
• User guides and presentations

Contribute to best practices and standards for AI/ML development across the organization.

Strong hands-on experience with

• Machine Learning & AI (especially NLP and Generative AI)
• Frameworks: TensorFlow, PyTorch
• Open-source platforms: Hugging Face

Experience working with

LLMs (GPT family, DALL·E, or similar)

Data pipelines and ML lifecycle management

Strong software engineering skills for deploying AI into production environments.

Experience building APIs, system integrations, and scalable architectures .

Solid understanding of distributed systems design .

Hands-on experience with

RAG architectures

AI-powered dashboards and visualization tools

Familiarity with CI/CD and DevOps practices .

Experience designing enterprise-grade, production-ready AI systems .

Responsibilities

AI/ML Development & Architecture

• Design and develop scalable AI/ML solutions using LLMs and other machine learning models .
• Architect and implement Generative AI systems that are scalable, resilient, and aligned with ethical AI practices.
• Work as a Subject Matter Expert (SME) for Generative AI, partnering with Product and Engineering teams.

Requirements

Proven experience delivering at least one large-scale Generative AI solution .

Preferred Qualifications

Experience in healthcare domain or regulated environments.

Technical Skills

• Programming: Python (preferred), SQL
• AI/ML: NLP, LLMs, Generative AI
• Frameworks: TensorFlow, PyTorch
• Tools: Hugging Face, APIs, data pipelines
• Cloud: AWS, Azure, GCP
• Data formats: JSON, HTML, structured outputs
• Version control: Git
• Soft Skills
• Strong analytical and problem-solving abilities
• Excellent communication skills (technical and non-technical audiences)
• Ability to work in fast-paced, agile environments
• Strategic thinking and solution-oriented mindset