Leadership and Team Management :
• Lead and mentor the existing data science engineers, fostering skill development and
collaboration.
• Provide technical guidance, code reviews, and ensure best practices in model
development and deployment.
Model Development and Innovation :
• Design and build machine learning models for tasks like NLP, recommendation
systems, customer segmentation, and predictive analytics.
• Research and implement state-of-the-art ML/AI techniques to solve real-world
problems.
• Ensure models are scalable, reliable, and optimized for performance in production
environments. We operate in AWS and GCP, so its mandatory that you have previous
experience in setting up the MLOps workflow in either of the cloud service provider.
Business Alignment :
• Collaborate with cross-functional teams (engineering, product, marketing, etc.) to
identify opportunities where AI/ML can drive value.
• Translate business problems into data science solutions and communicate findings to
stakeholders effectively.
• Drive data-driven decision-making to improve user engagement,



conversions, and
campaign outcomes.Technology and Tools :
• Work with large-scale datasets, ensuring data quality and scalability of solutions.
• Leverage cloud platforms like AWS, GCP for model training and deployment.
• Utilize tools and libraries such as Python, TensorFlow, PyTorch, Scikit-learn, and Spark
for development.
• With so much innovation happening around Gen AI and LLMs, we prefer folks who
have already exposed themselves to this exciting opportunity via AWS Bedrock or
Google Vertex.
Qualifications :
Education :
• Masters or PhD in Computer Science, Data Science, Mathematics, or a related field.
Experience :
• With an industry experience of more than 8 years with 5+ years of experience in data
science, and at least 2 years in a leadership role managing a solid technical team.
• Proven expertise in machine learning, deep learning, NLP, and recommendation
systems.
• Hands-on experience de

📌 Lead Data Scientist (Bengaluru)
🏢 Netcore Cloud
📍 Bengaluru