AI/ML Developer

Role Overview

We are seeking a highly skilledSenior AI/ML Developer to design, architect, and deliverenterprise-grade Generative AI solutions, with a strong focus onhealthcare use cases. The ideal candidate will combine deep technical expertise inmachine learning, large language models (LLMs), and software engineering to build scalable, secure, and responsible AI systems.

Key Responsibilities

AI/ML Development & Architecture

• Design and developscalable AI/ML solutions usingLLMs and other machine learning models.

• Architect and implementGenerative AI systems that are scalable, resilient, and aligned with ethical AI practices.

• Work as aSubject Matter Expert (SME) for Generative AI, partnering with Product and Engineering teams.

• Develop and maintainend-to-end AI pipelines, including:

  • Data preprocessing

  • Feature engineering

  • Model training and evaluation

• Buildextensible APIs and integrations to connect AI models with enterprise systems.

• Developlow-code/no-code UI/UX solutions for rapid delivery cycles.

• Design structured outputs (JSON, arrays, HTML) withnested nodes, ensuring seamlessfrontend/dashboard consumption.

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

• Architect and deploy solutions oncloud platforms such as AWS, Azure, or GCP.

• Build and maintaindistributed, scalable systems for AI workloads.

• Optimize models and systems forperformance, scalability, and efficiency.

• Optimize generative AI models for improved accuracy and response quality.

• Developeffective 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

• Design solutions aligned withResponsible AI principles:

  • Fairness

  • Transparency

  • Security

  • Accountability

• Identify, assess, and mitigaterisks associated with generative AI systems.

• Ensure compliance withprivacy and data protection standards, especially in healthcare environments.

• Collaborate closely withcross-functional teams including Product, Data, and Engineering.

• Translate business problems intoactionable AI-driven solutions.

• Create clear documentation:

  • Technical specifications

  • Architecture diagrams

  • User guides and presentations

• Contribute tobest practices and standards for AI/ML development across the organization.

• Proven experience deliveringat least one large-scale Generative AI solution.

• 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

• Strongsoftware engineering skills for deploying AI into production environments.

• Experience buildingAPIs, system integrations, and scalable architectures.

• Solid understanding ofdistributed systems design.

• Experience inhealthcare domain or regulated environments.

• Hands-on experience with:

  • RAG architectures

  • AI-powered dashboards and visualization tools

• Familiarity withCI/CD and DevOps practices.

• Experience designingenterprise-grade, production-ready AI systems.

• 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

• 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