Job Title: Senior AI/ML EngineerLocation State: KarnatakaLocation City: BangaloreExperience Required: 10+ Years (2+ in GenAI)Shift: Day ShiftWork Mode: OnsitePosition Type: ContractContract Duration: 1 YearCompany Name: VARITE INDIA PRIVATE LIMITEDAbout The Client: A British multinational professional services network, based in London, United Kingdom. It is one of the Big Four accounting firms.About The Job: We are seeking a Senior AI/ML Engineer to design, develop, and deploy production-grade AI/ML solutions within GSK’s Digital & Tech organization. This role focuses on building Generative AI applications, multi-agent systems, and advanced retrieval pipelines that drive measurable business impact. You will work at the intersection of cutting-edge AI research and enterprise software engineering, collaborating with data scientists, platform engineers, and domain experts across R&D, supply chain, and commercial functions. Essential Job Functions:Generative AI & LLM Development Design, develop, and deploy Generative AI applications using LLMs (GPT-4, Claude, Gemini, open-source models) for enterprise use cases Build and orchestrate multi-agent systems using frameworks like LangGraph, LangChain, CrewAI, or AutoGen with function calling and tool use Implement Retrieval-Augmented Generation (RAG), Graph RAG, and hybrid retrieval pipelines using vector databases (Pinecone, Weaviate, Chroma, pgvector) Apply prompt engineering, chain-of-thought reasoning, and context engineering techniques to optimize model outputs Fine-tune LLMs and embedding models for domain-specific tasks using LoRA, QLoRA, or full fine-tuning approaches Implement guardrails, content filtering, and safety mechanisms for responsible AI deploymentML Engineering & MLOps Build end-to-end ML pipelines – data ingestion, feature engineering, model training, evaluation, and deployment Implement LLMOps practices: model versioning, A/B testing, prompt management, evaluation frameworks (LLM-as-judge, RAGAS, custom metrics) Deploy and manage LLM inference using frameworks such as vLLM, TensorRT-LLM, or DeepSpeed for latency and cost optimization Monitor model performance, detect drift, and implement continuous improvement loops Build observability for AI systems using LangSmith, Langfuse, or custom tracing solutions Architecture & Cloud Architect scalable AI solutions on AWS (Bedrock, SageMaker, Lambda) or Azure (OpenAI Service, ML Studio) Containerize AI applications with Docker and deploy via Kubernetes, ECS, or serverless patterns Design event-driven and API-first architectures for AI service integration with enterprise systems Implement CI/CD pipelines for ML models and AI applications Collaboration & Leadership Collaborate with data scientists, domain experts, and product owners to translate business problems into AI solutions Conduct code reviews, architectural design reviews, and contribute to engineering standards Mentor junior AI/ML engineers; lead technical knowledge-sharing sessions Evaluate and recommend emerging AI technologies, frameworks, and approaches Present AI solutions and results to technical and non-technical stakeholders Qualifications: Experience 10+ years (min. 2 years in GenAI / LLM systems) Strong planning skills and should be able to work on the plan with the technical lead / architect Strong GenAI development skills alongside classical ML/NLP foundations Planning capability – able to lead technical planning for AI sprints and agree to delivery plans crafted by engineering leads Accountable, self-driven, with a bias toward shipping production-grade solutions Minimum 2 years hands-on experience building and deploying GenAI / LLM applications in production Required: Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, Mathematics, or a related field from a reputed institution 10+ years of total experience in ML/AI or data science roles, with a minimum of 2 years building and deploying GenAI / LLM applications in production Strong proficiency in Python and at least one ML framework (PyTorch / TensorFlow) Hands-on experience with RAG pipelines, vector databases, and LLM orchestration frameworks Experience deploying AI solutions on cloud platforms (AWS or Azure) with containerization Solid understanding of transformer architectures, attention mechanisms, and modern NLP techniques Preferred • Experience in a pharmaceutical, healthcare, or regulated industry environment • Background in Graph RAG, knowledge graphs, or ontology-based information extraction How to Apply: Interested candidates are invited to submit their resume using the apply online button on this job post.Equal Opportunity Employer: VARITE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, colour, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, veteran status, or disability status.Unlock Rewards: Refer Candidates and Earn.If you're not available or interested in this opportunity, please pass this along to anyone in your network who might be a good fit and interested in our open positions. VARITE offers a Candidate Referral program, where you'll receive a one-time referral bonus based on the following scale if the referred candidate completes a three-month assignment with VARITE.Exp Req - Referral Bonus 0 - 2 Yrs. - INR 5,000 2 - 6 Yrs. - INR 7,500 6 + Yrs. - INR 10,000About VARITE: VARITE is a global staffing and IT consulting company providing technical consulting and team augmentation services to Fortune 500 Companies in USA, UK, CANADA and INDIA. VARITE is currently a primary and direct vendor to the leading corporations in the verticals of Networking, Cloud Infrastructure, Hardware and Software, Digital Marketing and Media Solutions, Clinical Diagnostics, Utilities, Gaming and Entertainment, and Financial Services.
Job Title
Senior AI/ML Engineer