Similar Jobs
Information Technology • Software • Consulting • Financial Services
Lead and architect enterprise AI/ML solutions (GenAI, RAG, autonomous agents, advanced NLP), translate business needs into scalable prototypes and production models, mentor teams, and establish model development, deployment, monitoring, and governance best practices.
Top Skills:
AiopsAutonomous AgentsAWSAzureClaudeDeep LearningDockerEntity RecognitionGCPGenaiKubernetesLangchainLanggraphLlamaLlms (GptMachine LearningMistral)MlopsNatural Language ProcessingRetrieval-Augmented Generation (Rag)Semantic SearchStatisticsText Generation
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Leads a team developing scalable platform persistence and data-management solutions. Designs high-performance Java services, manages data lifecycles, optimizes relational and distributed storage systems, and addresses data loss detection and recovery. Collaborates across teams, advances AI applications for distributed systems, establishes security and data-management standards, mentors engineers, and evaluates emerging storage technologies.
Top Skills:
A2AAmazon S3Apache IcebergData ModelingDistributed SystemsJavaJavaScriptKubernetesMcpRelational Databases
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Leads software and AI engineers while designing, developing, testing, deploying, and monitoring AI-native applications. Responsibilities include model and prompt design, agent and retrieval architecture, microservices, embedding pipelines, evaluation harnesses, secure AI safeguards, cloud-managed AI services, code reviews, mentoring, root-cause analysis, and cross-functional collaboration. The role builds RAG assistants, agentic workflows, migration tools, and customer-focused AI solutions using distributed and probabilistic systems.
Top Skills:
AgileAnthropicAWSAws BedrockAws SagemakerAzure OpenaiCi/CdGCPJavaJavaScriptJSONKubernetesLangchainLarge Language Models (Llms)LlamaindexMicroservicesAzureNoSQLOpenaiPgvectorPineconePythonRestful ApisRetrieval-Augmented Generation (Rag)SalesforceScrumSpring BootSQLStreaming ApisVector DatabasesVertex AiWeaviate
Lead design, development, and scaling of AI/ML solutions (GenAI, LLMs, autonomous agents). Build production-grade LLM systems, RAG pipelines, and MLOps practices. Mentor teams, drive experimentation, integrate AI into products, and establish governance and model lifecycle best practices.
End Date
We Support Flexible Working – Click here for more information on flexible working options
Flexible Working Options
Hybrid WorkingJob Description Summary
Leads the desigining of patterns, tooling, and templates to rapidly and efficiently deploy models into production. Scales AI/ML solutions on strategic infrastructure and integrating them into existing systems. Acts as a point of technical expertise and thought leadership, and provides line management and/or coaching to grow team capability.Job Description
Exp : 15+ years
Location : Hyderabad
We are looking for a hands-on Lead Data & AI Scientist to drive the design, development, and scaling of AI-powered solutions across the enterprise. This role will shape our AI/ML strategy, mentor high-performing teams, and deliver impactful outcomes using cutting-edge technologies like GenAI, autonomous agents, NLP, and advanced ML.
🔹 What You’ll Do- Lead end-to-end development of scalable AI/ML solutions for complex business problems
- Design and implement GenAI systems (RAG pipelines, autonomous agents)
- Evaluate and optimise LLMs (GPT, LLaMA, Claude, Mistral) for business use cases
- Collaborate with cross-functional teams to integrate AI into products/platforms
- Drive experimentation, rapid prototyping, and continuous innovation
- Mentor data scientists and engineers, fostering a culture of excellence
- Establish best practices for MLOps, governance, and model lifecycle management
- Strong foundation in Statistics, Machine Learning, and Deep Learning
- Hands-on experience with GenAI frameworks (LangChain, LangGraph, etc.)
- Expertise in NLP (semantic search, NER, text generation)
- Experience building and deploying LLM-based solutions and fine-tuning models
- Ability to design autonomous AI agents (planning, reasoning, action)
- Proven experience working with large datasets and scalable AI systems
- Exposure to MLOps/AIOps for production-grade deployments
What you need to know about the Hyderabad Tech Scene
Because of its proximity to leading research institutions and a government committed to the city's growth, Hyderabad's tech scene is booming. With plans to establish India's first "AI city," the city is on track to become one of the world's most anticipated tech hubs, with companies like TransUnion, Schrödinger and Freshworks, among others, already calling the city home.
