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Senior AI ML Engineer

India, Pune · Job Posted April 16, 2026
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Job Description

We are seeking a highly skilled and experienced Assistant Vice President (AVP), Data Science & AIML Engineer, to join our growing team. The ideal candidate will possess a strong blend of data science expertise, machine learning engineering capabilities, and proven hands-on experience in developing and deploying AI/ML solutions in a production environment. This role requires deep proficiency in Python, a solid understanding of CI/CD pipelines, and experience building high-performance APIs, particularly with FastAPI. You will be instrumental in designing, building, and deploying advanced analytical models and machine learning systems that address complex business challenges.

Job Responsibility

  • 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
  • Lead the deployment of AI/ML models into production environments, ensuring scalability, reliability, and performance
  • Build and maintain robust, high-performance APIs (using frameworks like FastAPI) to serve machine learning models and integrate them with existing applications and systems
  • Establish and manage continuous integration and continuous deployment (CI/CD) pipelines for ML code and model deployments, promoting automation and efficiency
  • Collaborate with data engineers to ensure optimal data pipelines and data quality for model development and deployment
  • Conduct rigorous experimentation, A/B testing, and model performance monitoring to continuously improve and optimize AI/ML solutions
  • Promote and enforce best practices in software development, including clean code, unit testing, documentation, and version control
  • Mentor junior team members, contribute to technical discussions, and drive the adoption of new technologies and methodologies within the team
  • Effectively communicate complex technical concepts and model results to both technical and non-technical stakeholders

Requirements

  • 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
  • Expert-level proficiency in Python programming, including experience with relevant data science libraries (e.g., Pandas, NumPy, Scikit-learn) and deep learning frameworks (e.g., TensorFlow, PyTorch)
  • Strong hands-on experience designing, developing, and deploying RESTful APIs using FastAPI
  • Solid understanding and practical experience with CI/CD tools and methodologies (e.g., Jenkins, GitLab CI, GitHub Actions, Azure DevOps) for MLOps
  • Experience with MLOps platforms, model monitoring, and model versioning
  • Experience with at least one major cloud provider (e.g., AWS, Azure, GCP) for deploying and managing ML workloads
  • Proficiency in SQL and experience working with relational and/or NoSQL databases
  • Deep understanding of machine learning algorithms, statistical modeling, and data mining techniques
  • Excellent analytical and problem-solving skills, with the ability to translate complex business problems into actionable data science solutions
  • Strong verbal and written communication skills, with the ability to articulate technical concepts to diverse audiences

Nice to have

  • 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
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