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AI Engineering Manager - Machine Learning Solutions

Spectrum Talent Management
6 - 11 Years
Thane

Posted on: 07/05/2026

Job Description

About the Role :


We are looking for an experienced and technically strong AI Engineering Manager to lead the design, development, and deployment of scalable AI/ML solutions for advanced healthcare and medical imaging applications.


The ideal candidate will possess deep expertise in Machine Learning, Deep Learning, Computer Vision, and AI system architecture, along with proven leadership experience in managing high-performing AI engineering teams.

This role requires a balance of hands-on technical contribution, strategic thinking, project ownership, and people management to drive innovation and business impact through AI technologies.


Key Responsibilities :


AI/ML Solution Development :


- Lead the end-to-end design, development, testing, deployment, and optimization of AI/ML solutions aligned with business and product objectives.

- Architect scalable and production-ready AI systems for healthcare and medical imaging applications.

- Drive research and implementation of advanced Deep Learning and Computer Vision algorithms.

- Develop and optimize models using CNNs, Transformers, and other state-of-the-art architectures.

- Ensure model accuracy, scalability, reliability, and performance in production environments.

Medical Imaging & Healthcare AI :


- Work on AI-driven medical image analysis solutions involving modalities such as X-ray, CT, MRI, Ultrasound, or pathology imaging.

- Collaborate with domain experts, clinicians, and research teams to build healthcare-focused AI products.

- Ensure AI solutions adhere to healthcare data standards, privacy, and compliance requirements where applicable.

Engineering & Architecture :


- Define and enforce coding standards, software engineering best practices, and AI development frameworks.

- Drive development using Python and/or C++ for high-performance AI applications.

- Oversee model training pipelines, deployment workflows, MLOps practices, and cloud integrations.

- Ensure robust system architecture, scalability, maintainability, and performance optimization.

Team Leadership & Mentorship :


- Lead, mentor, and manage a team of AI/ML engineers, data scientists, and researchers.

- Foster a culture of innovation, collaboration, technical excellence, and continuous learning.

- Conduct technical reviews, performance evaluations, and skill development initiatives.

- Support hiring and team expansion activities for AI engineering functions.

Cross-Functional Collaboration :


- Collaborate closely with Product, Engineering, Research, and Business teams to translate business requirements into AI-driven solutions.

- Coordinate project timelines, resource planning, and delivery milestones across teams.

- Present technical solutions, progress updates, and AI strategy recommendations to stakeholders.

Innovation & Research :


- Stay updated with the latest advancements in AI, Deep Learning, Generative AI, Computer Vision, and healthcare AI technologies.

- Evaluate emerging tools, frameworks, and methodologies to improve AI capabilities and development efficiency.

- Contribute to innovation initiatives, prototypes, patents, or research publications where applicable.


Required Skills & Qualifications :


- Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or related field.

- 6+ years of experience in AI/ML development with at least 2+ years in a technical leadership or managerial role.

- Strong expertise in Deep Learning, Computer Vision, and Machine Learning algorithms.

- Hands-on experience with CNNs, Transformers, and modern AI architectures.

- Experience in medical imaging, healthcare AI, or biomedical AI applications is highly preferred.

- Strong programming skills in Python and/or C++.

- Experience with AI/ML frameworks such as TensorFlow, PyTorch, Keras, OpenCV, ONNX, etc.

- Exposure to MLOps, model deployment, cloud platforms, Docker, Kubernetes, or scalable AI infrastructure is preferred.

- Strong understanding of software architecture, system design, and engineering best practices.

- Excellent problem-solving, communication, stakeholder management, and leadership skills.


Preferred Qualifications :


- Experience working with healthcare datasets and imaging standards such as DICOM.

- Exposure to Generative AI, Multimodal AI, or Large Language Models (LLMs).

- Experience with cloud platforms such as AWS, Azure, or GCP.

- Prior experience managing distributed or cross-functional AI teams.

- Publications, patents, or research contributions in AI/ML are an added advantage.


What We Offer :


- Opportunity to work on cutting-edge AI and healthcare technologies.

- Collaborative and innovation-driven work environment.

- Leadership role with high business impact and ownership.

- Career growth opportunities in advanced AI engineering and product innovation.

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