Designation: Assistant Vice President – Data Science

Mumbai

Salary upto 40 LPA

8+ years of experience in AI and Data

Science roles.

Assistant Vice President

Your journey with us begins here, where success is more than just a possibility—

it's the Certainty of Life.

Bachelor's or Master's degree in computer science, AI/ML, or a related field.

Location: Grade

roles and responsibilities?

AI &

- Machine Learning
- Design, develop, and implement machine learning models for predictive analytics, natural language processing (NLP), computer vision, or recommendation systems.
- Lead end-to-end AI project lifecycles, including validation, productionization, and optimization using frameworks such as TensorFlow, PyTorch, and scikit-learn.
- Stay updated with the latest advancements in Generative AI and foundation models, evaluating and integrating them as needed.
- Partner with cross-functional teams to identify AI use cases and deliver measurable business value.

Data Science &

- Analytics
- Lead the end-to-end analytics lifecycle, from data exploration to actionable insights and product development.
- Collaborate with data engineers and analysts to build impactful solutions that drive business outcomes.
- Leadership &
- Strategy
- Mentor and guide junior team members, fostering their professional growth.
- Contribute to the enterprise AI and cloud strategy, including roadmap planning and vision setting.





Cloud Architecture &

- Engineering
- Architect and design cloud-native AI and data platforms on GCP (preferred), AWS, or Azure.
- Optimize data pipelines and machine learning workflows using services like Vertex AI, SageMaker, or

Azure ML.

- Ensure scalable, secure, and cost-productive architectures with robust CI/CD pipelines in cloud environments.

Bachelor's or Master's degree in computer science, AI/ML, or a related field.

Education

Confidential

Work Experience

• 8+ years of experience in AI and Data Science roles.

Required Skills

- Proficiency in Python and SQL.
- Strong expertise in machine learning frameworks like TensorFlow, PyTorch, Hugging Face, and scikit-

learn

- Hands-on expertise with large language models (LLMs), vector databases, and retrieval-augmented generation (RAG) techniques
- In-depth knowledge of cloud platforms, preferably GCP, but also AWS or Azure.
- Familiarity with data engineering tools such as BigQuery, Kafka, Snowflake.
- Sound knowledge of data privacy, governance, and ethical AI practices.
- Expertise in MLOps practices, including CI/CD pipelines, model monitoring, and A/B testing.

•

Competencies

▪ Strategic Thinking

▪ Stake-holder/Vendor Management

▪ Team Management

▪ Domain Knowledge

▪ Problem Solving/Solution Provider

▪ Risk management

📌 AVP / DVP - Data Science (Maharashtra)
🏢 Skywings Advisors
📍 Maharashtra