Wipro Limited is looking to solve complex digital transformation needs for clients by building innovative solutions. This role aims to create exceptional product architectural design for existing and new products, enabling delivery teams to provide exceptional client engagement and satisfaction.
Requirements
- Proficient in Python, common ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn), and cloud platforms (AWS, Azure, or GCP).
- Proven experience building and managing CI/CD pipelines and MLOps workflows for machine learning.
- Deep, practical knowledge of the entire machine learning lifecycle, from data acquisition and feature engineering to model deployment and post-launch monitoring.
- Direct, hands-on experience successfully navigating an internal AI ethics, risk, or governance review process for multiple projects.
- Experience developing and deploying AI/ML solutions within a healthcare or other highly regulated environment.
- Specific experience in the operational challenges of deploying and managing LLM-based applications in production.
- Mandatory Skills: AI Cognitive
Responsibilities
- Proven AI/ML Leadership: 10-15 years of experience in the AI/ML field, with at least 4-5 years in a leadership or management role leading technical teams in the delivery of complex AI solutions.
- Experience with AI Governance: Direct, hands-on experience successfully navigating an internal AI ethics, risk, or governance review process for multiple projects.
- Expertise in the ML Lifecycle: Deep, practical knowledge of the entire machine learning lifecycle, from data acquisition and feature engineering to model deployment and post-launch monitoring.
- Hands-on MLOps Experience: Proven experience building and managing CI/CD pipelines and MLOps workflows for machine learning.
- Strong Technical Foundation: Proficient in Python, common ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn), and cloud platforms (AWS, Azure, or GCP).
- Experience developing and deploying AI/ML solutions within a healthcare or other highly regulated environment.
- Specific experience in the operational challenges of deploying and managing LLM-based applications in production.
Other
- Proven AI/ML Leadership: 10-15 years of experience in the AI/ML field, with at least 4-5 years in a leadership or management role leading technical teams in the delivery of complex AI solutions.
- Strong Project Management Skills: Demonstrated ability to manage complex technical projects from conception to deployment, with expertise in agile methodologies.
- A Master's or Ph.D. in a relevant quantitative field.
- Experience working closely with product managers to define and deliver AI-powered features and products.
- A passion for coaching and developing technical talent, with a track record of growing senior engineers into tech leads.