Description :

Job Title : ML Engineer

Experience- 5+ yrs (Male Candidate only)

Location- Pune, Mumbai, Bangalore, Hyderabad, Gurugram

No of position- 20

Shift Timings- (3 :30 pm - 12 :30 am)

About the Role :

We are seeking an exceptional Senior AI/ML engineer/Data Scientist to join our Innovation Team and drive cutting-edge machine learning initiatives across the organization. This role combines strategic thinking with hands-on technical expertise, requiring deep knowledge in classical machine learning, deep learning, and generative AI technologies. You'll lead high-impact projects, mentor junior team members, and shape our AI strategy while working with state-of-the-art technologies.

Key Responsibilities :

- Demonstrate ability to work on data science projects involving predictive modelling, NLP, statistical analysis, vector space modelling, machine learning and agentic AI workflows

- Leverage rich datasets of user data to perform research, develop models and create data products with Development & Product teams

- Develop novel and scalable data systems in cooperation with system architects that leverage datasets using machine learning techniques to enhance the user experience

- Design, develop, and deploy end-to-end machine learning solutions using classical ML algorithms, deep learning frameworks, and generative AI models

- Build and optimize large-scale ML pipelines for training, inference, and model serving in production environments

- Implement and fine-tune foundation models, including LLMs, vision models, and multimodal AI systems

- Lead experimentation with cutting-edge generative AI techniques including prompt engineering, RAG systems, AI agents, and agentic workflows for complex task automation

- Collaborate with product managers and engineering teams to identify high-value AI opportunities and translate business requirements into technical solutions

Required Qualifications :

Technical Expertise :

- Knowledge and experience using statistical and machine learning algorithms including regression, instance-based learning, decision trees, Bayesian statistics, clustering, neural networks, deep learning, ensemble methods

- Expert knowledge in Python with strong proficiency in SQL and ML frameworks (scikit-learn, TensorFlow, PyTorch)

- Should have done one or more projects involving fine-tuning with LLMs

- Experience in feature selection, building and optimising classifiers

- Experience working with backend technologies such as Flask/Gunicorn etc.

- Extensive experience with deep learning architectures (CNNs, RNNs, Transformers, GANs) and modern optimization techniques.

- Hands-on experience with generative AI technologies including LLMs (GPT, BERT, T5), prompt engineering, fine-tuning, retrieval-augmented generation (RAG), and agentic AI workflows

- Experience designing and implementing AI agent architectures, multi-agent systems, and autonomous decision-making frameworks

- Proficiency with cloud platforms (AWS, GCP, Azure) and ML operations tools (MLflow, Kubeflow, Docker, Kubernetes)

- Strong knowledge of data preprocessing, feature engineering, and model evaluation techniques

- Proven track record of deploying ML models in production environments with demonstrated business impact

- Experience with A/B testing, causal inference, and experimental design methodologies