Data Science Manager

Manipal Technologies; Dadri; On-site; INR 2,800,000 - 4,600,000; Full time

Job summary

Manipal Technologies in India seeks a senior AI/ML leader to define strategy, lead a data science team, and drive end-to-end AI/ML initiatives. The role requires hands-on expertise and a track record in delivering complex AI solutions.

The candidate will oversee model development, deployment, and monitoring while ensuring ethical AI practices and data security. A strong background in ML frameworks and cloud/MLOps is essential.

Qualifications

• Master's/Bachelor's degree in Business, computer science, Data science, AI or related field.
• 8+ years of experience in AI/ML leadership roles.
• Preferred from Quick Commerce/ E-commerce industry.

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

AI/ML Expertise

Team Leadership

Strategic Planning

Education

Master's/ Bachelor's degree in Business, Computer Science, Data Science, AI or related field

Tools

TensorFlow

PyTorch

Scikit-learn

Docker

Kubernetes

Spark

Hadoop

Kafka

Job description

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.