DVPAVPSr Manager Innovation & Digitization (AIML) Leading Pvt Bank

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profile Job Location:

Mumbai - India

profile Monthly Salary: Not Disclosed
Posted on: 6 hours ago
Vacancies: 1 Vacancy

Job Summary

PURPOSE OF THE JOB

To lead development and scaling-up of production-ready AI systems. To combine traditional software engineering (frontend/backend) with python machine learning LLMs and MLOps to build deploy and maintain end-to-end AI-powered applications. This role needs hands-on technical expertise to drive innovation while mentoring high-performing teams.

KEY RESPONSIBILITIES:

Technical:

  • Design and architect end-to-end Data science Machine Learning (ML) Deep Learning (DL) and Gen AI Video Analytics solutions. Exposure to Agentic AI will be preferred.
  • Lead the development and deployment of AI solutions ML models and Gen AI solutions.
  • Hands-on involvement in designing models using AI solutions for code generation using tools such as Google CLI/Claude Desktop reviewing code and troubleshooting issues in AI ML DL Gen AI solutions.
  • Drive adoption of Gen AI Agentic AI solutions.
  • Establish best practices for ML model development testing deployment and production monitoring. Experience with ML Ops will be preferred.
  • Ensure scalable robust and maintainable data engineering pipelines and solutions
  • Ensure designed AI solutions integrate seamlessly with existing Cloud Infrastructure enterprise systems and platforms.

Leadership & Stakeholder Management:

  • Contribute to data-driven decision making across the unit and drive adoption of AI systems.
  • Contribute to deliver excellent presentations to communicate strategy project status and results influencing key decision-makers.
  • Provide technical mentorship and guidance to team on AI solutions
  • Foster a collaborative innovative team culture focused on continuous learning

Key Skills

  • 8-15 years of progressive experience in software development and extending into Data Science AI ML DL Gen AI Agentic AI technologies.
  • Minimum 3 years of hands-on experience in Data Science ML DL Gen AI. (LLMs RAG Fine-tuning)
  • Experience with cloud services on platforms like (AWS GCP or Azure)
  • Strong skills in designing & implementing DS AI ML ML Ops and Gen AI solutions using python R Scala Spark.
  • Strong foundation in Database systems data modelling and data architecture (SQL NoSQL vector databases)
  • Exposure to SAS VIYA analytics platform will be preferred
  • Excellent written verbal communication skills and excellent inter-personal and presentation skills.
  • Excellent time management escalation management and prioritization skills.
  • Excellent problem-solving and critical thinking skills.

Experience Required

  • 8-15 years of experience as Lead S/W Engineer Senior Data Scientist Senior ML Engineer Senior Gen AI Engineer

Educational Qualifications

  • Bachelors or Masters degree in Computer Science Engineering or a related field.
  • Certifications in areas such as Data Engineering Cloud Skills AI/ML Gen AI Agentic AI will be an added advantage.

Required Skills:

AIMLMachine LearningArtificial IntelligencePythonLLMsDeep LearningGen AIAgentic AIData ScienceMLOpsData ScientistAI EngineerData Engineering

PURPOSE OF THE JOB To lead development and scaling-up of production-ready AI systems. To combine traditional software engineering (frontend/backend) with python machine learning LLMs and MLOps to build deploy and maintain end-to-end AI-powered applications. This role needs hands-on technical experti...
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Key Skills

  • Presentation Skills
  • Risk Management
  • Financial Services
  • IFRS
  • Banking
  • Pricing
  • Analysis Skills
  • Securities Law
  • Investment Banking
  • Relationship Management
  • Strategic Planning
  • Leadership Experience