Senior Machine Learning Engineer

Role & Responsibilities:

• Developing high-level solution architectures and working with our offshore team of big-data engineers and machine learning engineers to build, test, and assess models that predict and optimize business outcomes based on the clients success criteria.
• Develop sophisticated yet simple interpretations and communicate insights to clients that lead to quantifiable business impact.
• Building deep relationships with clients by understanding their stated but more importantly, latent needs.
• Working hands-on with the delivery teams in building solutions in the healthcare domain (Provider, Payer, and Pharma)
• Working closely with the offshore delivery managers to ensure seamless communication and delivery cadence.Researching and identifying sales opportunities, generating leads, target identification, and classification
• Serve as a mentor or guide for junior resources/freshers.
• Lead the technical discussion with the clients regarding updates/risks/blockers, etc. Fluent in communication

Skills expectation:

• Must have:

• Hands-on experience in developing and deploying models in computer vision or NLP or both
• Experience or exposure to LLMs, Gen AI/ prompt engineering (RAG architecture)
• Work with MLOps frameworks and tools to train and interpret the ML models for business stakeholders
• Knowledge of Cloud-environments like GCP/AWS and ML frameworks like TensorFlow/PyTorch etc
• Ability to think creatively and work well both as part of a team and as an individual contributor
• Critical eye for the quality of data and a strong desire to get it right.
• A pleasantly forceful personality and charismatic communication style.
• Someone who will raise the average effectiveness of the team. In short, we are looking for a “Difference Maker”.
• Experience and understanding of ML Ops

• Leadership qualities

• Ability to lead technical teams and provide them mentorship/support to accelerate performance.
• Experience in leading multiple large projects as well as a deep understanding of Agile developments
• Effective communication with all the stakeholders involved.
• Communicate clearly about complex subjects and technical plans with technical and non-technical audiences.

• Good to have:

• Basic hands-on experience working on healthcare-related projects like medical imaging would be a desired skill
• Experience with Agile/Scrum/DevOps software development methodologies