Senior AI ML Engineer - Assistant Vice President at Citi

Pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

11 Apr, 26

Salary

0.0

Posted On

11 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Model Development, MLOps, API Development, CI/CD, Data Engineering, Experimentation, Optimization, Technical Leadership, Stakeholder Communication, Containerization, Big Data Technologies, Generative AI, Large Language Models, Open Source Contributions, Documentation

Industry

Financial Services

Description

Model Development: Design, develop, and implement advanced machine learning models (e.g., predictive, prescriptive, generative AI) to solve complex business problems, from initial data exploration and feature engineering to model training and evaluation. MLOps & Deployment: Lead the deployment of AI/ML models into production environments, ensuring scalability, reliability, and performance. API Development: Build and maintain robust, high-performance APIs (using frameworks like FastAPI) to serve machine learning models and integrate them with existing applications and systems. CI/CD Implementation: Establish and manage continuous integration and continuous deployment (CI/CD) pipelines for ML code and model deployments, promoting automation and efficiency. Data Engineering: Collaborate with data engineers to ensure optimal data pipelines and data quality for model development and deployment. Experimentation & Optimization: Conduct rigorous experimentation, A/B testing, and model performance monitoring to continuously improve and optimize AI/ML solutions. Code Quality & Best Practices: Promote and enforce best practices in software development, including clean code, unit testing, documentation, and version control. Technical Leadership: Mentor junior team members, contribute to technical discussions, and drive the adoption of new technologies and methodologies within the team. Stakeholder Communication: Effectively communicate complex technical concepts and model results to both technical and non-technical stakeholders. Education: Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field. Minimum of 6+ years of professional experience in Data Science, Machine Learning Engineering, or a similar role, with a strong track record of deploying ML models to production. Proven experience in a lead or senior technical role. Experience with containerization technologies (e.g., Docker, Kubernetes). Familiarity with big data technologies (e.g., Spark, Hadoop). Experience in the financial services industry. Knowledge of generative AI techniques and large language models (LLMs). Contributions to open-source projects or relevant publications. ------------------------------------------------------ For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------

Responsibilities

The Senior AI ML Engineer will design, develop, and implement advanced machine learning models to address complex business challenges. They will also lead the deployment of these models into production environments and ensure their scalability and performance.