3210 AI Specialists jobs in Bengaluru

Make an impact with NTT DATA
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.

Required Qualifications

Workplace type:

About NTT DATA
NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo.

Equal Opportunity Employer
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.

Senior Director, Artificial Intelligence (AI)

Location: Pune, India or Bangalore, India

Model of Work: Hybrid

About Quorum Software

Quorum Software connects people and information across the energy value chain. Twenty years ago, we built the first software for gas plant accountants. Pipeline operators came next, followed by land administrators, pumpers, and planners. Since , Quorum has helped thousands of energy workers with business workflows that optimize profitability and growth. Our vision for the future connects the global energy ecosystem through cloud-first software, data standards, and integration. The trusted source of decision-ready data for 1,+ companies, Quorum Software makes the essential connections that let us work better together in the connected energy workplace. For more information, visit quorumsoftware.com

Be a part of our legacy

Quorum Software is the world's largest provider of digital technology focused solely on business workflows that empower the next evolution of energy. From emerging companies to supermajors, throughout every region of the globe, customers rely on Quorum's proven innovation and unmatched global expertise to streamline business operations and make data-driven decisions that optimize profitability and growth. Our industry-leading solutions are transforming energy companies across the entire value chain, helping visionary leaders evolve their organizations into modern energy companies.

Who we are looking for:

Are you excited by challenges?Do you enjoy working in a fast-paced, international and dynamic environment?Then now is the time to join Quorum Software, a rapidly growing company and industry leader in oil & gas transformation.

Job Purpose

We are seeking a visionary Sr. Director, AI to establish and lead our AI Innovation Center , focused on the design, development, and deployment of cutting-edge AI solutions across our software portfolio. This role is pivotal in accelerating our AI strategy, applying technologies like machine learning, generative AI, agentic AI, and advanced analytics to create transformative products and capabilities for the energy sector.

You will help shape the company’s AI vision, build and lead a cross-functional team of data scientists, ML engineers, and AI product innovators, and partner with product, engineering, and customer teams to bring AI-infused applications to market.

What You Will Do:

What to Bring:

Nice to Have:

Additional Details

Quorum Diversity Statement:  At Quorum, we are committed to fostering, cultivating, and preserving a culture of belonging. We want to be the place where a diverse pool of talented people join us, stay with us and do their best work. With a diverse team of employees, we grow and learn better together. The collective sum of the individual differences, life experiences, knowledge, innovation, self-expression, and talent that our employees invest in their work represents not only part of our culture, but our reputation and our achievements. We are fully focused on equity and equality and believe deeply in diversity of race, gender, sexual orientation, age, religion, ethnicity, national origin, ability, neurodiversity and all the other characteristics that make us unique.

Quorum Business Solutions and Quorum Software are Equal Opportunity Employers. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, ancestry, veteran status, disability, genetic information, or any other basis protected by law.

Those applicants requiring reasonable accommodation to the application and/or interview process should notify a member of the Human Resources Department

Roles & Responsibilities:

• Conduct applied research activities focused on Natural Language Processing, Text Analytics, and Deep Learning.

• Develop and fine-tune Large Language Models (LLMs) for various NLP tasks.

• Explore and implement Domain Adaptation techniques to enhance model performance in specific areas.

• Work on Retrieval-Augmented Generation (RAG) models and methodologies.

• Collaborate with cross-functional teams to integrate research outcomes into products and services.

• Publish research findings in Top-tier conferences and journals.

• Stay updated with the latest advancements in NLP, Deep Learning, and related fields.

Educational qualification:

Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field.

Experience:

Overall 3 + years or experience & 2+ years in NLP/Deep Learning

Mandatory/requires Skills :

• Strong knowledge and experience in Machine Learning, Deep Learning, Text Analytics and NLP.

• Proven track record of research and development in NLP and Deep Learning, evidenced by publications, projects, or contributions to open-source communities.

• Interest and aptitude for research activities, with the ability to work independently as well as part of a collaborative team.

• Strong programming skills in Python, and experience with deep learning frameworks like PyTorch.

• Familiarity with cloud platforms like Azure for large-scale data processing and model training is a plus.

Preferred Skills:

• Understanding of ICL/Fine-tuning Large Language Models (LLMs) such as Mistral, Llama-2, Gemma.

• Knowledge of Domain Adaptation techniques and their practical applications.

• Experience with practical and scalable applications of Retrieval-Augmented Generation (RAG) and related methodologies.

• Excellent problem-solving skills and the ability to work in a fast-paced environment.

• Strong communication skills and the ability to convey complex ideas effectively.

We are seeking a highly skilled and motivated Applied Researcher with a strong background in Natural Language Processing (NLP), Text Analytics, and Deep Learning. The successful candidate will join our team and contribute to cutting-edge research and development in the field of Generative AI.

Job Description:

Job Description – Lead AI Engineer / Architect (LLMs, RAG, RL, Azure AI)
Role Overview
We are seeking an experienced Lead AI Engineer / Architect with expertise in transformer-based architectures, fine-tuning, reinforcement learning, and agent-based AI systems. The ideal candidate will have 10+ years of IT experience with a strong focus on LLMs, applied machine learning, and cloud AI platforms. This role involves designing and deploying enterprise-grade AI solutions leveraging LLMs (GPT, LLaMA, Mistral, Claude), retrieval-augmented generation (RAG), and reinforcement learning techniques while providing technical leadership to engineering teams.
Key Responsibilities
Architect and implement solutions using large language models (GPT, LLaMA, Mistral, Claude) for enterprise use cases.
Design and optimize retrieval-augmented generation (RAG) pipelines for knowledge-grounded AI applications.
Develop and deploy fine-tuned/custom models for domain-specific tasks.
Agent Frameworks & Orchestration
Build intelligent AI agents using frameworks such as LangChain, LlamaIndex, CrewAI, and AutoGen.
Integrate LLM agents with external APIs, databases, and enterprise systems.
Define prompt engineering strategies to optimize reliability, interpretability, and task success rates.
Reinforcement Learning & Optimization
Apply Q-learning, policy gradient methods, and RLlib for agent training and continuous learning.
Experiment with RLHF (Reinforcement Learning with Human Feedback) for fine-tuning LLMs.
Optimize inference and training pipelines for performance and cost efficiency.
Leadership & Collaboration
Play the role of Tech Lead / AI Architect, guiding engineers and data scientists on AI/LLM best practices.
Collaborate with product teams, business stakeholders, and cloud engineers to deliver AI-powered solutions at scale.
Mentor junior engineers in transformer models, prompt engineering, and reinforcement learning.
Cloud & MLOps
Deploy AI models using Azure AI Services, Azure Machine Learning, and CI/CD pipelines.
Implement MLOps frameworks for model versioning, monitoring, and continuous improvement.
Ensure governance, security, and compliance in AI deployments.
Required Skills & Qualifications
10+ years of IT experience, with relevant experience in AI/LLMs and reinforcement learning.
Strong expertise in:
Transformer architectures (GPT, LLaMA, Mistral, Claude)
Fine-tuning, prompt engineering, RAG
Agent frameworks (LangChain, LlamaIndex, CrewAI, AutoGen)
Reinforcement learning (Q-learning, policy gradients, RLlib)
Hands-on with Python, PyTorch/TensorFlow, and ML frameworks.
Experience with Azure AI (Azure AI Engineer Associate certified).
Proven ability to lead, mentor, and deliver enterprise AI solutions.
Preferred Skills
Familiarity with vector databases (Pinecone, Weaviate, FAISS, Milvus).
Knowledge of evaluation frameworks for LLMs (e.g., benchmark datasets, automated evaluation).
Exposure to multi-agent collaboration systems and advanced orchestration.
Understanding of ethical AI, bias mitigation, and model interpretability.

At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.

About the Role : We are looking for a talented and curious Generative AI Developer to join our growing AI team. In this role, you will work on cutting-edge projects involving large language models (LLMs), multimodal AI, and custom generative solutions for real-world use cases. You’ll collaborate with data scientists, ML engineers, and product teams to build, fine-tune, and deploy generative AI models that drive innovation and efficiency.

Key Responsibilities

• Develop and fine-tune LLMs and generative AI models for NLP, image, or multimodal tasks.
• Implement and optimize prompts, embeddings, and retrieval-augmented generation (RAG) pipelines.
• Integrate Gen AI capabilities into products, services, and enterprise applications.
• Collaborate with cross-functional teams (data science, product, backend) to deliver end-to-end AI features.
• Continuously evaluate new Gen AI tools, models (e.g., GPT, Claude, LLaMA, Mistral), and platforms (OpenAI, Hugging Face, LangChain, etc.).
• Ensure model performance, scalability, and safety through testing, monitoring, and feedback loops.
• Participate in research, POCs, and innovation sprints around Gen AI use cases.

Required Skills & Experience

• 2–4 years of hands-on experience in software development or machine learning, with at least 1 year in Generative AI or LLM-based projects.
• Proficiency in Python and experience with ML/AI libraries such as Hugging Face Transformers, PyTorch, or TensorFlow.
• Experience working with APIs from OpenAI, Anthropic, Cohere, or similar Gen AI providers.
• Familiarity with prompt engineering, vector databases (e.g., Pinecone, FAISS, Weaviate), and RAG techniques.
• Good understanding of model fine-tuning, transfer learning, and model evaluation.
• Strong problem-solving skills and ability to learn quickly in a fast-paced environment.
• Excellent communication and collaboration abilities.

Nice to Have

• Experience with LangChain, LlamaIndex, or other Gen AI orchestration tools.
• Exposure to cloud platforms (AWS, GCP, Azure) and MLOps tools.
• Knowledge of multimodal AI (text + image/audio/video).
• Contributions to open-source AI projects or research publications.

What We Offer

• Opportunity to work on cutting-edge AI technologies and real-world Gen AI applications.
• A collaborative and innovative culture that values experimentation.
• Access to top AI tools, models, and cloud infrastructure.
• Competitive compensation and benefits.
• Flexible work options and career growth opportunities.

The AI and Data Science Manager will lead a cross-functional team of data scientists, machine learning engineers, and AI specialists to develop and deploy scalable AI/ML solutions that drive business value across the enterprise. This role requires a strategic thinker with hands-on technical expertise and a strong ability to translate business challenges into data-driven solutions.

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Key Responsibilities
• Lead the design, development, and implementation of GenAI models & agents. Oversee the end-to-end lifecycle of AI/ML projects—from use case definition and data preparation to model development, deployment, and monitoring.
• Develop timelines, milestones, and metrics to effectively plan and execute projects.
• Ensure the scalability, reliability, and performance of AI models and analytics platforms.
• Manage and mentor a team of data scientists and AI/ML engineers.
• Translate complex technical concepts and insights to non-technical stakeholders.
• Support and build presentations on our GenAI products & solutions for clients and leadership.
• Develop and implement best practices for AI model development, deployment, and monitoring.
• Execute the AI and data science roadmap aligned with business goals and digital transformation initiatives.
• Team Management: Lead, mentor, and grow a high-performing team of data scientists, ML engineers, and analysts. Foster a collaborative and innovative team culture.
• Cross-Functional Collaboration: Partner with business units, IT, and product teams to identify opportunities for AI-driven automation and insights.
• Innovation & Prototyping: Drive rapid prototyping and proof-of-concept development for emerging AI use cases, including generative AI, predictive modeling, and intelligent agents
 

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Requirements: 
• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
• 8+ years of experience in data science, machine learning, or AI, with at least 3 years in a manager role.
• Proven experience deploying AI/ML models in production environments.
• Proficiency in Python, SQL, and ML frameworks (., TensorFlow, PyTorch, Scikit-learn).
• Strong understanding of MLOps, data engineering pipelines, and cloud platforms (., Azure, AWS).
• Excellent communication and stakeholder management skills.

Preferred Knowledge and Experience:
• Semiconductor industry experience.
• Experience with tools like Databricks, Azure ML, and Snowflake.
• Understanding of ERP platform and experience in enabling AI in business functions like sales, HR, finance, operations, etc.
• Understanding of AI security and compliance frameworks.

Competencies:
• Self-motivated, able to multitask, prioritize, and manage time efficiently
• Strong problem-solving skills
• Data analysis skills. Ability to analyze complex data and turn it into actionable information
• Collaboration and teamwork across multiple functions and stakeholders around the globe
• Flexibility and adaptability
• Process management / process improvement
• Drive for results, Able to work under pressure and meet deadlines

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