Senior ML/AL Engineer
Job 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
