Role Overview :

As a Lead Machine Learning Engineer in Mumbai, you will be at the forefront of developing and deploying cutting-edge machine learning solutions that directly impact our business. You will lead a team of talented data scientists and engineers, collaborating closely with product managers, business stakeholders, and other engineering teams to translate business needs into innovative AI-powered products. Your work will drive significant improvements in our core offerings, enhancing user experience and optimizing key business metrics.

Key Responsibilities :

- Lead the design, development, and deployment of scalable machine learning models and algorithms to address complex business challenges.

- Mentor and guide a team of machine learning engineers and data scientists, fostering a culture of innovation and continuous learning.

- Collaborate with product managers and business stakeholders to define project scope, objectives, and success metrics.

- Evaluate and select appropriate machine learning techniques and tools for specific tasks.

- Ensure the quality and reliability of machine learning models through rigorous testing and validation.

- Stay up-to-date with the latest advancements in machine learning and artificial intelligence, and apply them to improve our products and processes.

- Communicate technical findings and recommendations to both technical and non-technical audiences.

Required Skillset :

- Demonstrated expertise in designing, developing, and deploying machine learning models in a production environment.

- Proven ability to lead and mentor a team of data scientists and engineers.

- Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.

- Excellent programming skills in Python, with experience in relevant libraries such as scikit-learn, TensorFlow, and PyTorch.

- Proficiency in data manipulation and analysis using tools such as Pandas and NumPy.

- Experience with cloud computing platforms such as GCP.

- Exceptional communication, collaboration, and problem-solving skills.

- Ability to translate complex technical concepts into clear and concise explanations.

- Master's or Ph.D. degree in Computer Science, Statistics, or a related field.

- 13- 18 years of relevant experience in Machine Learning and Data Science.