Data Science Manager

Key Responsibilities:

1. Define and execute AI/ML strategies aligned with business goals.

2. Manage a team of data scientists and ML engineers.

3. Plan and deliver AI/ML projects within timelines and budgets.

4. Oversee the development, deployment, and monitoring of AI/ML models.

5. Ensure ethical AI practices and data security compliance

Skills Required

AI/ML Expertise:

1. Strong hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).

2. Agentic AI

3. Expertise in supervised, unsupervised, and reinforcement learning techniques.

4. Experience in Natural Language Processing (NLP), Computer Vision, and Deep Learning models.

Programming:

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

2. Knowledge of scripting and automation for data preprocessing and model deployment.

Data Engineering:

1. Familiarity with big data tools like Apache Spark, Hadoop, and Kafka.

2. Experience with SQL and NoSQL databases.

Cloud & MLOps:

1. Hands-on experience with cloud platforms (AWS, Azure, or Google Cloud).

2. Proficiency in MLOps practices, including CI/CD pipelines for AI/ML models.

Tools & Technologies:

1. Proficient in tools such as Jupiter Notebooks, Docker, Kubernetes, and Git.

2. 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

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

Experience Level (If applicable)

1. 8+ Yr. experience

2. Preferred from Quick Commerce/ E-commerce industry.