About The Opportunity
Operating in the AI & Enterprise Software product engineering sector, this role sits at the intersection of applied research and production-grade system delivery. You'll join a fast-moving engineering organisation building scalable ML-driven features and services for business customers across domains such as NLP, computer vision and predictive analytics.Primary title: Machine Learning Engineer (AI/ML Developer) On-site role based in India.Role & Responsibilities
- Design, implement and validate ML models and experiments (classification, regression, NLP, CV) from data ingestion through evaluation.
- Build reproducible end-to-end pipelines for data preprocessing, feature engineering, training, evaluation and model versioning.
- Productionize models: containerize models, build REST/GRPC inference endpoints, and deploy to cloud or on-prem platforms with CI/CD.
- Optimize model performance and inference latency through quantization, batching, caching and model distillation techniques.
- Instrument monitoring and alerting for model drift, data quality issues and production performance; implement automated retraining workflows where needed.
- Collaborate with product managers, backend engineers and data teams to translate business requirements into scalable ML solutions and clear integration contracts.
Skills & Qualifications
Must-Have
- Python
- PyTorch
- TensorFlow
- Scikit-learn
- SQL
- Docker
Preferred
Additional Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, Statistics or equivalent practical experience.
- Proven track record (mid-level to senior) delivering ML models to production; hands-on experience with model deployment and inference APIs.
- Comfort working on-site in India and collaborating across multidisciplinary engineering teams.
- Strong command of software engineering best practices: unit testing, CI/CD, code review and documentation.
Benefits & Culture Highlights
- Competitive compensation and performance-linked rewards aligned to market for India-based on-site roles.
- Focused career growth: technical mentorship, access to training, and opportunity to work on cutting-edge ML features.
- Collaborative engineering culture with emphasis on ownership, code quality and measurable business impact.
To apply, candidates should be available to work on-site in India and be ready to demonstrate past projects or portfolio code that highlights model development and production deployment experience.
Skills: pytorch,python,scikit-learn,docker,aws,sql,genai,kubernetes,tensorflow,ai ml developer
