AI/ML Engineering Manager Miimansa
Miimansa
Office Location
Full Time
Experience: 5 - 5 years required
Pay:
Salary Information not included
Type: Full Time
Location: Haryana
Skills: model development, Data Engineering, versioning, Project Management, leadership skills, Innovation, Mentoring, Healthcare IT, regulatory requirements, AIML system design, data pipelines, Algorithm selection, machine learning algorithms, cloudnative architectures, ML ops, CICD practices, monitoring AI systems, clinical research informatics, Healthcare Data Standards
About Miimansa
Job Description
The Engineering Manager position at Miimansa involves leading the end-to-end product engineering lifecycle within the healthcare and life sciences domain. As an Engineering Manager, you will be responsible for providing technical oversight, project planning and execution, innovation, and problem-solving to ensure the quality, reliability, security, and scalability of AI systems in production environments. Your key responsibilities will include hands-on leadership in AI/ML system design and deployment, guiding solution architecture, data pipelines, algorithm selection, and model development. You will define project scope, objectives, and deliverables, align day-to-day execution with strategic goals, and manage detailed planning, timeline, and resource allocation for world-class delivery standards within time and budget constraints. To qualify for this role, you should have a Bachelors/Masters/Ph.D. in Computer Science, Machine Learning, Engineering, or a related technical field. You must possess proven hands-on experience in AI/ML system development, strong foundational knowledge of data engineering, machine learning algorithms, and cloud-native architectures, and demonstrated ability to lead from within the team while actively contributing to technical problem-solving. Additionally, you should have experience managing complex projects with cross-functional teams, familiarity with ML Ops, CI/CD practices, versioning, and monitoring AI systems in production, as well as strong interpersonal and leadership skills. A track record of fostering innovation, mentoring talent, and elevating team performance through technical and emotional intelligence will be highly valued. Preferred qualifications include experience in healthcare IT or clinical research informatics, familiarity with healthcare data standards like HL7 and FHIR, knowledge of AI/ML applications in healthcare, and an understanding of regulatory requirements in healthcare software development. If you are looking to make a significant impact in the field of AI/ML within healthcare and life sciences, this role at Miimansa offers a unique opportunity to lead innovative technology solutions and drive continuous improvement in a collaborative and dynamic environment.,