Deputy Vice President – Artificial Intelligence
Confidential
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, where we focus on:
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Why IndiaFirst Life?
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289+ awards won across functions since inception
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Among India’s Top 50 Best Workplaces in BFSI (2024)
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Great Place to Work for Seven consecutive years (2019-2025)
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Training (2024) by Brandon Hall
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Awards 2024
Greetings from IndiaFirst Life. IndiaFirst Life is promoted by Bank of Baroda
and Union Bank of India. With our strong foundation, we are driven by a
relentless passion for success, guided by values that matter. We appreciate
your interest in working with us.
- Recognizing Achievements
- Celebrating People and Success
- Accelerating Growth
- Empowering Employees
Job Description At A Glance:
Designation:
Deputy Vice President – Artificial Intelligence
Location:
Mumbai
Work Experience:
8+ years of experience in AI and Data Science roles.
Qualification:
Bachelor’s or Master’s degree in computer science, AI/ML, or a related field.
Your journey with us begins here, where success is more than just a
possibility— it’s the Certainty of Life.
1. What are your roles and responsibilities?
AI & Machine Learning
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Design, develop, and implement machine learning models for predictive
analytics, natural language processing (NLP), computer vision, or
recommendation systems.
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Lead end-to-end AI project lifecycles, including validation,
productionization, and optimization using frameworks such as TensorFlow,
PyTorch, and scikit-learn.
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Stay updated with the latest advancements in Generative AI and foundation
models, evaluating and integrating them as needed.
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Partner with cross-functional teams to identify AI use cases and deliver
measurable business value.
Data Science & Analytics
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Lead the end-to-end analytics lifecycle, from data exploration to actionable
insights and product development.
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Collaborate with data engineers and analysts to build impactful solutions
that drive business outcomes.
Leadership & Strategy
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Mentor and guide junior team members, fostering their professional growth.
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Contribute to the enterprise AI and cloud strategy, including roadmap
planning and vision setting.
Cloud Architecture & Engineering
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Architect and design cloud-native AI and data platforms on GCP (preferred),
AWS, or Azure.
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Optimize data pipelines and machine learning workflows using services like
Vertex AI, SageMaker, or Azure ML.
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Ensure scalable, secure, and cost-efficient architectures with robust CI/CD
pipelines in cloud environments.
Education
Bachelor’s or Master’s degree in computer science, AI/ML, or a related field.
Work Experience
8+ years of experience in AI and Data Science roles.
Required Skills
- Proficiency in Python and SQL.
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Strong expertise in machine learning frameworks like TensorFlow, PyTorch,
Hugging Face, and scikit-learn
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Hands-on expertise with large language models (LLMs), vector databases, and
retrieval-augmented generation (RAG) techniques
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In-depth knowledge of cloud platforms, preferably GCP, but also AWS or
Azure.
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Familiarity with data engineering tools such as BigQuery, Kafka, Snowflake.
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Sound knowledge of data privacy, governance, and ethical AI practices.
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Expertise in MLOps practices, including CI/CD pipelines, model monitoring,
and A/B testing.
Competencies
- Strategic Thinking
- Stake-holder/Vendor Management
- Program Management
- Team Management
- Domain Knowledge
- Problem Solving/Solution Provider
- Risk management