Key Responsibilities:
Define and execute AI/ML strategies aligned with business goals.
Manage a team of data scientists and ML engineers.
Plan and deliver AI/ML projects within timelines and budgets.
Oversee the development, deployment, and monitoring of AI/ML models.
Ensure ethical AI practices and data security compliance

Skills Required

AI/ML Expertise:
Solid hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
Agentic AI
Expertise in supervised, unsupervised, and reinforcement learning techniques.
Experience in Natural Language Processing (NLP), Computer Vision, and Deep Learning models.

Programming:
Proficiency in programming languages such as Python, R, C#.
Knowledge of scripting and automation for data preprocessing and model deployment.

Data Engineering:
Familiarity with big data tools like Apache Spark, Hadoop, and Kafka.
Experience with SQL and NoSQL databases.

Cloud & MLOps:




Hands-on experience with cloud platforms (AWS, Azure, or Google Cloud).
Proficiency in MLOps practices, including CI/CD pipelines for AI/ML models.

Tools & Technologies:
Proficient in tools such as Jupiter Notebooks, Docker, Kubernetes, and Git.
Understanding of APIs and microservices architecture for AI/ML integration

Technical/Functional Proficiency Required

1 Knowledge in programming languages such as Python, R, C#.

2 Cloud platforms (AWS, Azure, or Google Cloud).

3 AI/ML Expertise- NLP, Deep Learning Models, Machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).

Educational Qualifications
Master s/ Bachelors degree in Business, computer science, Data science, AI or related field.

Experience Level (If applicable)
8+ Yr. experience
Preferred from Quick Commerce/ E-commerce industry.

📌 Data Science Manager Noida
🏢 Manipal Technologies
📍 Noida