Bachelor or Master’s or higher in Computer Science, AI, Data Science, Engineering or a related field.
2 plus to around 15 years of experience in AI/ML engineering, with a focus on developing and deploying AI solutions.
Hands-on expertise in machine learning, deep learning, Gen AI (multi modal LLMs), NLP, and computer vision.
Strong programming skills in Python, TensorFlow, PyTorch, and other AI frameworks.
Experience developing, deploying and finetuning LLMs (GPT, Gemini, Claude or similar) for real world applications including prompt engineering, model optimization and inference efficiency.
Experience with cloud platforms (AWS, Azure, or GCP) and MLOps for scalable AI deployments.
Proficiency in working with big data technologies (Spark, Hadoop, SQL, NoSQL databases).
Strong problem-solving skills with the ability to translate business challenges into AI-driven solutions.
Knowledge of healthcare AI applications and regulatory compliance (HIPAA, CMS) is a plus.
Understanding of business use cases, strong interpersonal skills, architecting skills and abilities to convince multiple stakeholders.
