As a Technical Specialist Machine Learning, you will be the SME across core ML technologies, enabling high-value AI initiatives across machine learning, deep learning, NLP, and analytics. You will define strategy, create frameworks, mentor teams, and deliver scalable ML solutions for global healthcare clients.
Key Responsibilities
- Develop technical strategy, frameworks, and accelerators for Machine Learning initiatives.
- Define ML roadmaps tailored to the needs of healthcare clients.
- Demonstrate deep expertise in ML algorithms, deep learning techniques, NLP, computer vision, and applied analytics.
- Stay updated on emerging ML/AI innovations and promote their adoption within projects.
- Lead, guide, and mentor ML engineers and data scientists, fostering collaboration and innovation.
- Architect, design, and deploy ML solutions across diverse healthcare use cases.
- Bring handson experience implementing ML projects in the healthcare domain.
- Oversee the complete ML lifecyclefrom business problem definition to model development, deployment, and monitoring.
- Work crossfunctionally to ensure seamless integration of ML models into products and workflows.
- Advocate for responsible, explainable, and ethical AI/ML practices.
- Explain complex ML concepts in a clear, accessible manner to technical and nontechnical stakeholders.
- Continuously evaluate and optimize model performance, identifying opportunities to improve outcomes and efficiency.
Experience: -
Educational Qualifications: -
- Engineering Degree BE / ME / BTech / M Tech / B.Sc. / M.Sc.
- Technical certification in multiple technologies is desirable.
Skills: -
Mandatory Technical skills
- Experience in Machine Learning or AI.
- At least 8+ years of handson experience leading and implementing ML projects.
- Proven track record of delivering ML solutions that drive measurable business value.
- Strong knowledge of ML algorithms, deep learning frameworks, NLP methods, and statistical modeling.
- Familiarity with modern architectures including CNNs, RNNs, Transformers, and retrievalbased systems.
- Strong programming skills in Python and experience with key ML/AI libraries.
- Excellent communication, collaboration, and analytical problemsolving skills.
- Ability to translate complex ML concepts into simple, actionable insights.
Passion for innovation and advancing machine learning capabilities
Good to have skills: -
- Experience working in the healthcare domain.
- Certifications in AWS, GCP, or Azure.
- Certifications related to Machine Learning or Data Science.
