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Money Forward India
AI/ML Engineer Specialist
Money Forward India
Chennai•On-site•3-6 Yrs•3 hours ago
Job description
AI/ML EngineerSpecialistMachine LearningTensorFlowPyTorch
Overview
We are seeking a hands-on Specialist AI/ML Engineer to design, build and deploy intelligent systems that solve real-world product and business problems.
Responsibilities
- Design, develop, and optimize machine learning models for business use cases such as prediction, classification, forecasting, anomaly detection, and NLP tasks
- Conduct structured experimentation, hyperparameter tuning and performance benchmarking
- Transform structured and unstructured data into modeling-ready datasets
- Implement training and fine-tuning workflows using modern AI frameworks
- Define and track appropriate evaluation metrics to ensure robustness and generalization
- Contribute to AI-Powered capabilities such as search, summarization, and intelligent assistance
- Support use cases involving LLMs, embeddings, and retrieval-based architectures when required
- Evaluate and compare different modeling approaches to improve accuracy and efficiency
- Collaborate with engineering teams to deploy models into production environments
- Contribute to versioning, validation, and monitoring strategies for AI systems
- Participate in debugging, root cause analysis, and performance improvements
- Maintain clean, reproducible training pipelines and documentation
- Work closely with product managers, data engineers, and backend teams in an Agile environment
- Maintain clean code, well-documented experiments and structured project plans
- Contribute to shared AI best practices and reusable components
- Clearly communicate technical findings to both engineering and business stakeholders
Qualifications
- Strong experience in machine learning model development and evaluation
- Hands-on experience with TensorFlow / PyTorch
- Solid Python programming skills (Pandas, NumPy, Scikit-learn, SciPy, etc.)
- Experience working with structured and unstructured datasets
- Understanding of NLP concepts and transformer-based architectures
- Experience building production-quality software in collaborative environments
- Ability to run iterative development cycles and deliver measurable outcomes
Nice to have
- Exposure to LLMs, embeddings, and RAG-based systems
- Familiarity with MLOps concepts (model versioning, CI/CD, monitoring)
- Experience deploying AI services on AWS
- Experience with experiment tracking tools (MLflow or similar)
- Experience working with SQL and relational databases
Education
- 15 years full time education