Company Overview:
Our client enables retailers and brands to engage customers effectively through high-quality data and market insights. By collecting and analyzing billions of data points daily, they provide a comprehensive omnichannel view of competitive landscapes. Their AI-driven analytics uncover new opportunities in pricing, promotion, and assortment strategies.
Job Summary:
The Machine Learning / Data Science Manager will lead a cross-functional team of software engineers, data scientists, data engineers, and ML engineers to design, develop, and deploy AI/ML solutions. The role focuses on leading AI/ML projects from inception to production, optimizing deep learning models, and ensuring scalable machine learning operations.
Key Responsibilities:
Leadership & Strategy:
● Lead and mentor a team of ML engineers, data scientists, and software engineers.
● Drive AI/ML product development from scoping to deployment and post-production analysis.
● Collaborate with business stakeholders and customers in the retail domain to align AI/ML solutions with product vision.
● Set goals, objectives, and business metrics using data-driven insights.
AI/ML Development & Optimization:
● Conduct exploratory data analysis on large datasets and derive actionable insights.
● Design and optimize deep learning models for image and text processing.
● Improve model efficiency by reducing inference latency, memory footprint, and increasing throughput.
● Develop supervised and semi-supervised learning techniques using PyTorch or TensorFlow.
● Fine-tune Transformer-based models, GNN models, and optimize sampling techniques.
● Architect ML pipelines for training, validation, and deployment in production environments.
ML Operations & Deployment:
● Work with software engineering and MLOps teams to deliver scalable production AI/ML solutions.
● Build automated model monitoring systems to detect data distribution shifts and performance degradation.
● Establish human-in-the-loop workflows to improve model labeling, auditing, and retraining.
● Maintain multiple model versions and ensure controlled releases.
Cross-functional Collaboration:
● Partner with data engineers and cloud teams to scale big data analysis and model training.
● Lead program management functions to ensure smooth AI/ML project execution.
● Align project timelines with business goals and stakeholder expectations.
Required Skills & Experience:
✔ MS/PhD in a technical discipline from a reputed institution.
✔ 5+ years of experience in data science and AI/ML development.
✔ Proven track record of delivering AI/ML products to production.
✔ Expertise in supervised and semi-supervised learning.
✔ Hands-on experience with ML frameworks (PyTorch, TensorFlow).
✔ Strong understanding of Transformer-based models, GNN models, and deep learning math.
✔ Experience in SQL, PySpark, and big data engineering.
✔ Familiarity with cloud-based ML & data services (AWS, Azure, GCP).
✔ Knowledge of CPU, GPU, TPU acceleration for model execution optimization.
Preferred Skills:
✔ Experience with ML model optimization (PyTorch Glow, cuDNN).
✔ Strong software development and coding standards for production ML.
✔ Understanding of AI-driven retail analytics and customer insights.
Why Join?
✔ Lead a team of AI/ML experts in a high-impact role.
✔ Work on cutting-edge deep learning models in a fast-paced environment.
✔ Competitive salary with opportunities for career growth.
✔ Exposure to large-scale AI/ML systems in production.
Salary: INR 50,00,000 – 70,00,000
Location: Chennai, India