Centre Head

Senior AI/ML Engineer

📍 Pune, Maharashtra (Onsite)

💼 Experience: 6–10 Years

🕒 Employment Type: Full-Time

About the Role

We are seeking a highly skilled Senior AI/ML Engineer to lead the design, development, and deployment of enterprise-scale Artificial Intelligence and Machine Learning solutions. The ideal candidate will possess strong expertise in production-grade Retrieval-Augmented Generation (RAG) systems, deep learning architectures, semantic search platforms, vector databases, and AI orchestration frameworks.

This role requires hands-on technical leadership, architectural ownership, and proven experience building scalable AI systems that operate reliably in production environments.

Key Responsibilities

• Design and architect enterprise-grade RAG (Retrieval-Augmented Generation) solutions
• Build and optimize document chunking, retrieval, reranking, and hallucination mitigation pipelines
• Develop and deploy machine learning models using XGBoost, PyTorch, and TensorFlow
• Design deep learning solutions including LSTM and transformer-based architectures
• Build semantic search and vector retrieval systems using modern vector databases
• Develop advanced AI workflows using LangChain and LangGraph
• Design and implement multi-agent AI systems and orchestration frameworks
• Lead AI model deployment, monitoring, optimization, and lifecycle management
• Collaborate with cross-functional teams to translate business requirements into scalable AI solutions
• Mentor junior engineers and contribute to technical leadership initiatives
• Drive AI architecture decisions, performance tuning, and best practices

Required Skills & Qualifications

Must-Have Technical Skills

• 6–10 years of software engineering and AI/ML development experience
• Strong experience building and deploying production AI/ML systems
• Hands-on expertise with RAG architectures and semantic retrieval systems
• Experience with vector databases such as Pinecone, Weaviate, Chroma, Milvus, or Qdrant
• Strong knowledge of Machine Learning and Deep Learning concepts
• Hands-on experience with:
• PyTorch and/or TensorFlow
• XGBoost
• LangChain
• LangGraph
• Experience deploying AI applications in production environments
• Strong debugging, performance optimization, and troubleshooting skills
• Excellent Python programming skills
• Understanding of REST APIs, microservices, and scalable system design

Preferred Skills

• MLflow
• Weights & Biases (W&B)
• Kubeflow
• Transformer architectures and LLM internals
• MLOps practices and model lifecycle management
• Multi-agent AI frameworks
• Cloud platforms such as AWS, Azure, or GCP
• Docker and Kubernetes
• CI/CD pipelines for AI applications

Ideal Candidate Profile

You are someone who:

• Has successfully deployed AI solutions into production environments
• Understands enterprise-scale AI architecture and design patterns
• Has practical experience with retrieval systems and vector search
• Can independently drive AI initiatives from concept to deployment
• Enjoys solving complex engineering challenges
• Demonstrates strong ownership, leadership, and mentoring capabilities
• Thrives in a fast-paced product and engineering environment

Who Should Not Apply

• Prompt-engineering-only profiles
• Candidates with only academic or research exposure
• Tutorial/demo-level GenAI practitioners
• Engineers without production deployment experience
• Professionals lacking hands-on implementation expertise

Educational Qualification

• B.E. / B.Tech in Computer Science, Information Technology, Artificial Intelligence, Machine Learning, Data Science, or related discipline
• Master's degree is a plus

Work Location

📍 Pune, Maharashtra (Onsite)

Hiring Preference

• Immediate joiners preferred
• Candidates currently working on production AI/ML systems will be given preference

Keywords

AI Engineer, Senior AI Engineer, Machine Learning Engineer, Generative AI Engineer, LLM Engineer, RAG Engineer, LangChain, LangGraph, Vector Database, Semantic Search, Deep Learning, PyTorch, TensorFlow, XGBoost, ML Engineer, AI Architect, MLOps, Multi-Agent Systems, Production AI

Required Skill Set :--

• Data Model & Mapping
• MS SQL Database
• Analytics SQL Query
• Genesys Cloud Reporting & Analytics API
• Snow Flake (Good to have)
• Cloud Exposure – AWS or Azure

Technical Experience –

·        5 - 8 Years of experience, preferable at technology or Financial firm

·        Strong understanding of data analysis & reporting tools.

·        Experience with data mining & machine learning techniques.

·        Excellent communication & presentation skills

·        Must have at least 2 – 3 years of experience in Data Model/Analysis /mapping

·        Must have hands on experience in database tools & technologies

·        Must have exposure to Genesys cloud, WFM, GIM, Genesys Analytics API

·        Good to have experience or exposure on salesforce, AWS or AZUre , & Genesys cloud

·        Ability to work independently & as part of a team

·        Strong attention to detail and accuracy.

Work Scope –

• Data Model similar GIM database based on the Genesys Cloud data.
• API to column data mapping.
• Data Model for business for Analytics
• Data base artifacts
• Scripting – Python
• Autosys, TWS job setup.

Roles & Responsibilities :

·        To lead team from front to all the software developers including Interns at b+m India office

·        To upgrade and guide to the entire software developers team with technical solutions and updated technologies from time to time .

·        Participate in the complete lifecycle of projects from inception to deployment to value delivery.

·        Developing best practices to ensure that all projects are delivered on-time, within scope of work.

·        Create a project Management calendar for fulfilling each goal and objective. Developing and monitoring project plans, project schedules, working hours and ensuring project deadlines are met.

·        Escalate all obstacles that cannot be dealt with promptly that could result in project delays.

·        Communicate project status and key issues to stakeholders on a regular basis.

·        Coordinate internal resources and third parties/vendors for the flawless execution of multiple projects (if needed).

·        Assist in the definition of project scope and objectives, involving all relevant internal stakeholders and ensuring technical feasibility.

·        Delegate project tasks based on requirement to the team members' ,  individual strengths, skill sets, and as per their experience levels.

·        Attend seminars and training as required improve & maintain proficiency (if needed).

·        Perform other software development related duties like,

     Software development in C# with MS Visual Studio, Developing and designing GUIs in WPF.

     Source code development for libraries (.dll), e.g. for data exchange

     Creating standard interfaces via web service and OPC UA

    Connecting MS SQL database systems for secure data transfer.

Creating VR and AR applications in Unity

Responsibilities

• Implement various development, testing, automation tools, and IT infrastructure
• Design, build and automate the AWS infrastructure (VPC, EC2, Networking, EMR, RDS, S3, ALB, Cloud Front, etc.) using Terraform
• Manage end-to-end production workloads hosted on Docker and AWS
• Automate CI pipeline using Groovy DSL
• Deploy and configure Kubernetes clusters (EKS)
• Design and build a CI/CD Pipeline to deploy applications using Jenkins and Docker

Eligibility

• At least 8 years of proven experience in AWS-based DevOps/cloud engineering and implementations
• Expertise in all common AWS Cloud services like EC2, EKS, S3, VPC, Lambda, API Gateway, ALB, Redis, etc.
• Experience in deploying and managing production environments in Amazon AWS
• Strong experience in continuous integration and continuous deployment
• Knowledge of application build, deployment, and configuration using one of the tools: Jenkins

Requirements:

• Proficiency in shell scripting.
• Proficiency in automation of tasks.
• Proficiency in Pyspark/Python.
• Proficiency in writing and understanding of sqoop.
• Understanding of Cloud Era manager.
• Good understanding of RDBMS.
• Good understanding of Excel.
• Familiarity with Hadoop ecosystem and its components.
• Understanding of data loading tools such as Flume, Sqoop etc.
• Ability to write reliable, manageable, and high-performance code.
• Good knowledge of database principles, practices, structures, and theories.