Sr. ML Architect - AI/ML Innovation Team Lead

Urgent Requirement for Sr. ML Architect - AI/ML Innovation Team Lead Bangalore, Pune, Mumbai, Mohali Location

Role: Sr. ML Architect - AI/ML Innovation Team

Location:- Bangalore, Pune, Mumbai, Mohali (Programming.com Office)

USA Shift (Night)

About the Role

We are seeking a Sr. ML Architect to join our AI/ML Innovation Team and drive cutting-edge artificial intelligence initiatives across diverse enterprise applications. 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 involving document intelligence, multi-agent systems, conversational AI, and automated validation workflows while working with state-of-the-art technologies to solve complex business challenges.

Must have skills - MCP, Agentic AI, RAG, ML, Python, LLM

Key Responsibilities

1. Demonstrate ability to work on data science projects involving predictive modelling, NLP, computer vision, document processing, statistical analysis, vector space modelling, machine learning and agentic AI workflows

2. Design and implement automated document validation and information extraction systems using OCR, computer vision, and NLP techniques to process physical documents and validate against existing databases

3. Develop intelligent multi-agent RAG (Retrieval-Augmented Generation) systems and advanced chatbot architectures for complex enterprise applications

4. Build AI voice agents and conversational systems to automate human validation processes and customer interactions

5. Create scalable document intelligence pipelines that extract, validate, and transform information from various document types and formats

6. Leverage rich datasets to perform research, develop models and create AI-powered data products with Development & Product teams

7. Develop novel and scalable AI systems in cooperation with system architects that enhance automation capabilities and user experiences

8. Design, develop, and deploy end-to-end machine learning solutions using classical ML algorithms, deep learning frameworks, and generative AI models for document processing and intelligent automation

9. Build and optimize large-scale ML pipelines for training, inference, and model serving in production environments across cloud platforms

10. Implement and fine-tune foundation models, including LLMs, vision models, and multimodal AI systems for document understanding and conversational applications

11. Lead experimentation with cutting-edge generative AI techniques including prompt engineering, RAG systems, AI agents, MCP for complex task automation and decision-making

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

Required Qualifications;--

Technical Expertise

1. 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

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

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

4. Experience in feature selection, building and optimising classifiers

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

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

7. Hands-on experience with generative AI technologies including LLMs (GPT, BERT, T5), prompt engineering, fine-tuning, retrieval-augmented generation (RAG), and MCP integration for context-aware AI applications.

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

9. Strong expertise in document processing, OCR, information extraction, and computer vision applications for automated validation systems

10. Experience with conversational AI, voice recognition technologies, and building intelligent chatbot systems

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

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

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

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

15. Knowledge of workflow automation, system integration, and API development for seamless AI solution deployment

Interested candidate kindly Apply on Hrs4@esolutionsindia.net with updated resume and answer of the mandatory question .

1. Current CTC:*

2. Expected CTC:*

3. Current Location:*

4. Notice Period:*

5. Total Experience in AI/ML:*

6. Total Experience in LLM :*

7. Total Experience in MCP, Agentic:*

8. Total Experience in Python and RAG,:*

9. Last Qualification:*

8. Availability for Face to Face interview (Yes /NO):*

CLIENT PROFILE:

MNC

Thanks & Regards

Deepti

8383946206

Hrs4@esolutionsindia.net

Esolutions India www.esolutionsindia.net