Remote AI/ML Engineer II (Remote - India)

Description:

• This position is for an AI/ML Engineer II at Precision Medicine Group, located in India, and is a remote role.
• The role involves designing, developing, and scaling machine learning models, including Large Language Models (LLMs) and Generative AI, particularly in the healthcare sector.
• The engineer will collaborate with product, data science, and engineering teams to implement AI-powered innovations into production.
• Responsibilities include designing, developing, optimizing, and deploying machine learning and deep learning models, implementing scalable AI solutions, fine-tuning AI models with large datasets, and collaborating with cross-functional teams.
• The engineer will work with healthcare and claims data to build high-performance ML workflows and maintain MLOps pipelines for model training, deployment, and monitoring.
• Troubleshooting production-level model issues and documenting processes and methodologies are also key responsibilities.
• Staying updated with industry trends and advancements in AI/ML is expected.

Requirements:

• A Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical field is required.
• A minimum of 3 years of hands-on experience in AI/ML engineering, specifically in delivering models into production, is necessary.
• Strong proficiency in Python, R, SQL, and experience with ML/NLP frameworks is essential.
• A solid understanding of machine learning, deep learning, and NLP concepts is required.
• Experience with fine-tuning and evaluating Generative AI models is necessary.
• Familiarity with data processing, augmentation, and synthetic data generation is expected.
• Hands-on experience with cloud platforms such as AWS, Azure, or GCP, as well as Docker and Kubernetes, is required.
• Strong problem-solving skills and the ability to design novel AI solutions in complex scenarios are essential.
• Excellent communication and collaboration skills, with a proven track record of working across multidisciplinary teams, are required.
• The ability to lead projects with minimal supervision and synthesize complex information to drive strategic value is necessary.

Benefits:

• The position offers a competitive salary based on experience and market standards.
• Flexible work arrangements, including remote or hybrid options, are available.
• Comprehensive health insurance and wellness programs are provided.
• Continuous learning opportunities through training and certifications are offered.
• The role provides the opportunity to work on impactful AI/ML projects in healthcare and life sciences.
• A supportive and inclusive team environment with a culture of innovation is fostered.