15,357 AI Team Lead jobs in India

Role Overview

As a seasoned AI Engineer, you will be responsible for designing and developing cutting-edge applications in Java that leverage the power of artificial intelligence and machine learning.

Key Responsibilities:

1. Develop high-performance, scalable applications in Java that integrate AI/ML models into production-grade systems.
2. Design, train, and deploy NLP, predictive analytics, and deep learning models using popular frameworks like TensorFlow, PyTorch, and Scikit-learn.
3. Collaborate with cross-functional teams to deliver end-to-end AI-driven solutions that meet business objectives.

Qualifications:

3+ years of professional experience in Java engineering with a strong focus on AI/ML development.

Expertise in deploying AI models into Java-based enterprise systems and integrating them with other services and APIs.

Strong understanding of data structures, algorithms, and distributed systems, as well as excellent communication, leadership, and mentoring skills.

Bonus Requirements:

• Experience working with cloud-based platforms (AWS, Azure, Google Cloud) to deploy and manage AI models.

Core Benefits

• Competitive compensation package
• Opportunities for professional growth and development
• Collaborative and dynamic work environment

We are looking for an
AI Lead
to drive innovation, strategy, and delivery of cutting-edge AI solutions across multiple domains. The ideal candidate will combine hands-on expertise in AI/ML/GenAI with strong leadership skills to guide teams and deliver impactful business outcomes.

*Key Responsibilities *

• Lead the design, development, and deployment of AI/ML/Generative AI solutions across diverse business domains.
• Provide technical leadership on LLMs, Generative AI, NLP, Deep Learning, and Machine Learning projects.
• Oversee end-to-end AI lifecycle – from data collection, preprocessing, model design, fine-tuning, evaluation, to deployment and monitoring.
• Drive initiatives on LLM fine-tuning, prompt engineering, RAG pipelines, embeddings, and model evaluation frameworks.
• Guide the adoption of vector databases, APIs, MLOps practices, and scalable cloud-based architectures.
• Mentor and lead a team of data scientists and ML engineers, ensuring best practices in experimentation, reproducibility, and model governance.
• Collaborate with stakeholders to translate business problems into AI-driven solutions, aligning with organizational strategy.
• Stay ahead of emerging AI trends, tools, and research, and integrate them into enterprise solutions.

*Required Skills & Experience *

• 8+ years of experience in Data Science/AI, with 3+ years leading AI/ML teams or projects.
• Proven expertise in Machine Learning, Deep Learning, NLP, and Generative AI (LLMs).
• Strong programming skills in Python and proficiency in frameworks such as PyTorch, TensorFlow, and Hugging Face Transformers.
• Hands-on experience with fine-tuning, RAG architectures, prompt engineering, and LLM evaluation.
• Knowledge of vector databases (e.g., Pinecone, FAISS, Weaviate, Milvus) and embedding-based search.
• Practical experience with MLOps, containerization (Docker), CI/CD pipelines, and model deployment on cloud platforms (AWS, GCP, Azure).
• Strong analytical thinking, communication, and stakeholder management skills.
• Ability to lead cross-functional teams and deliver AI solutions from prototype to production at scale.

AI Lead

Experience: 6 to 9 Years

Position: AI Lead

Location: Trivandrum, India (Hybrid – On-site Preferred)

Job Description

ECS Fin is an engineering enterprise that specializes in process optimization. Our software solutions, which include an enterprise messaging management system, a SWIFT certified transaction processing system, a post trade processing application and a treasury management system are used by different Financial Institutions and Corporates all over the world.

We are looking for an AI Lead to help strengthen the intelligence layer of our enterprise transaction platforms. As the Head of AI, you will shape the AI strategy, lead a growing team, and ensure our AI solutions deliver measurable value across financial operations.

Key Responsibilities

Define and expand the AI roadmap aligned with business strategy, identifying priority use cases in payments and compliance.

Design and architect AI/ML solutions, ensuring scalability, security, and integration with enterprise platforms.

Lead and contribute to the development of AI/ML models for payments, compliance, and enterprise transaction solutions.

Translate client needs (ISO 20022, SWIFT, reconciliation, fraud detection) into practical AI-driven use cases

Select tools, frameworks, and platforms for AI development, deployment, and lifecycle management.

Collaborate hands-on with Product, Engineering, and DevOps teams to embed AI models into production systems.

Represent the AI function with clients, partners, and stakeholders while demonstrating thought leadership.

Qualifications

6–9 years of AI/ML experience, with proven deployments into production.

Must have prior experience in financial services, fintech, or payment platforms.

Experience leading small teams or end-to-end AI projects.

Strong technical background (Python, ML frameworks, NLP); familiarity with Java/J2EE enterprise environments is preferred

Excellent communication and leadership skills.

The ideal candidate will have a solid foundation in software engineering, AI/ML technologies, and software development processes. The Candidate will be responsible for guiding a team of 4-5 AI developers, ensuring the delivery of robust AI solutions while maintaining high standards in architecture, coding practices, and project execution.

Required AI/ML Skills:

· Generative AI (GenAI):

o Experience with Large Language Models (LLMs) like GPT, BERT, or LLaMA.

o Familiarity with fine-tuning LLMs and integrating them into enterprise applications and Databases.

o Knowledge of text generation, summarization, translation, and conversational AI.

· Traditional Machine Learning:

o Proficiency in ML techniques like supervised learning, unsupervised learning, and reinforcement learning.

o Hands-on experience with classification, regression, clustering, and time-series forecasting.

· AI Frameworks and Tools:

o Proficient in frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, scikit-learn, and Keras.

o Familiarity with ML pipelines using tools like MLflow, Kubeflow, or TensorFlow Extended (TFX).

· Deployment:

o Knowledge of containerization (Docker, Kubernetes) and serverless architectures for scalable AI solutions.

Required Software Engineering Skills:

· Programming Languages:

o Strong proficiency in Python (preferred), Java, or Go for AI application development.

o Experience with API development frameworks such as FastAPI, Django, or Flask.

· Architectural Concepts:

o Deep understanding of microservices architecture, event-driven design, and RESTful APIs.

o Knowledge of distributed systems and high-performance computing.

Soft Skills:

· Communication and Presentation:

o Excellent verbal and written communication skills, with the ability to simplify complex technical concepts for diverse audiences.

o Strong presentation skills to effectively convey architectural designs and project updates to customers and stakeholders.

· Team Collaboration:

o Proven experience in leading and mentoring technical teams, fostering collaboration, and encouraging continuous learning.

o Ability to work effectively across cross-functional teams including data engineers, product managers, and QA engineers.

Key Responsibilities:

· Technical Leadership:

o Lead, mentor, and guide a team of AI developers.

o Ensure adherence to best practices in software engineering, AI model development, and deployment.

o Review and approve architectural designs, ensuring scalability, performance, and security.

· AI Application Development:

o Architect and design AI solutions that integrate both Generative AI (GenAI) and traditional Machine Learning (ML) models.

o Oversee the end-to-end development lifecycle of AI applications, from problem definition to deployment and maintenance.

o Optimize model performance, ensure model explainability, and address model drift issues.

· Architectural Oversight:

o Develop and present the big-picture architecture of AI applications, including data flow, model integration, and user interaction.

o Dive deep into individual components, such as data ingestion, feature engineering, model training, and API development.

o Ensure the AI solutions align with enterprise architectural standards and customer requirements.

· Customer Engagement:

o Act as the primary technical interface for customer meetings, providing clear explanations of the AI solution's architecture, design decisions, and project progress.

o Collaborate with stakeholders to understand business needs and translate them into technical requirements.

o Ensure proper documentation, including design documents, code reviews, and testing protocols.

o Monitor project timelines and deliverables, ensuring high-quality outcomes.

Qualifications:

· Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field.

· 6-9 years of experience in developing and deploying AI applications.

· Proven track record of delivering scalable AI solutions in an enterprise setting.

Job Types: Full-time, Permanent

Pay: ₹1,500, ₹2,400,000.00 per year

Benefits:

• Health insurance
• Provident Fund

Ability to commute/relocate:

• Badshahpur, Gurugram, Haryana: Reliably commute or planning to relocate before starting work (Preferred)

Application Question(s):

• Current CTC?
• Expected CTC?
• Notice Period?

Experience:

• AI: 4 years (Preferred)

Work Location: In person

Purpose/Objective

The AI Lead pivotal leadership role is crucial for driving the build-out of the Defence AI organization and its offerings. This position is responsible for spearheading innovation and growth within the sector, nurturing talent, and positioning Adani Defence as a key player in Defence and Aerospace AI applications both locally and globally. The AI Lead will lead strategic initiatives to enhance technological capabilities, foster a culture of continuous improvement, and ensure the organization remains at the forefront of AI advancements in the defence industry.

Key Responsibilities of Role

Responsibilities:

• Build Business Pipeline: Engage with Defence and Aerospace stakeholders to shape offerings that are relevant and impactful. This involves understanding the needs and challenges of these sectors and developing AI solutions that address them effectively.
• Build Organization: Create and nurture best-in-class capabilities across critical defence AI domains. This includes recruiting top talent, fostering a collaborative and innovative work environment, and ensuring continuous development of skills and expertise within the team.
• Oversee Creation of Relevant & Scalable AI Products & Solutions: Lead the development of configurable and scalable AI products and solutions that meet the needs of Defence and Aerospace customers. Ensure these solutions are adaptable and can be customized to address specific requirements.
• Ensure Timely Delivery of Key Projects: Oversee the timely delivery of key projects, including research and development projects in collaboration with academia. This involves setting clear timelines, managing resources effectively, and ensuring high-quality outcomes.
• Strategic Planning & Partnership: Develop the overall business build strategy and execute mergers and acquisitions as required. This includes identifying strategic opportunities, forming partnerships, and driving initiatives that support the long-term growth and success of the organization.

* Qualifications and Experience

Educational Qualification:

• Armed services/ Intelligence services
• Background in Science & Engineering

Experiences:

• 15+ years experience
• Direct oversight of AI technology deployments in Defence context
• Experience in Cyber Security is desirable.

Beetexting is a growth stage and VC-backed SaaS company headquartered in the USA with a cutting-edge development center in Hyderabad, India. We are on a mission to build next-gen software products that transform communication with AI. Our team thrives on innovation, passion, and a relentless pursuit of excellence. We are looking for code lovers who are excited to develop groundbreaking products and make a real impact in the market.

• We are entrepreneurs. We’re resourceful and positive 
• We are innovators. We obsess on helping our customer win. 
• We are visionaries. We think deeply about the industry and think way, way ahead. 
• We are beelievers. We’re humble. We believe in each other and support one another. 
• We are givers. We think of others first. 
• We are intentional. We plan.
• We are diligent. We measure outcomes and stay focused on the profitable. 
• We are gritty. We execute and we never give up. 

Position:  AI Lead

Location:   Hyderabad, Telangana, India

• Spearhead the end-to-end development, deployment, and continuous optimization of cutting-edge AI/ML systems—Generative AI, LLMs/MLLMs, RAG, autonomous agents, and custom MCP servers in production 
• Architect and implement scalable Retrieval-Augmented Generation pipelines, multi-modal transformer systems, and autonomous multi-agent frameworks (LangChain, AutoGPT, BabyAGI, NVIDIA NeMo Agents) 
• Lead deep-learning model design and delivery: ANN, CNN, RNN, LSTM/BiLSTM, attention-based Transformers (BERT, GPT, T5, Vision Transformers), GANs, VAEs, Diffusion models, and Mixture-of-Experts architectures 
• Define and enforce best practices for prompt engineering, fine-tuning (LlamaIndex, Hugging Face), quantization (INT4, GGUF), pruning, distillation, and advanced inference optimizations 
• Build and maintain robust MLOps pipelines: CI/CD (Git, Bitbucket, automated tests), model versioning (MLflow, Hugging Face Hub & LFS), Docker/GPU containerization, Kubernetes/OpenShift orchestration, Terraform infrastructure as code 
• Design high-performance data engineering workflows: ETL optimization (Pandas, NumPy, Spark), real-time streaming (Kafka, RabbitMQ), and caching strategies (Redis) 
• Ensure secure, compliant AI deployments by embedding Responsible AI principles (bias mitigation, transparency, privacy), governance frameworks, and regulatory controls. 
• Monitor emerging research (self-supervised pre-training, federated learning, synthetic data, LLMOps) and integrate top innovations into production 
• Collaborate closely with Product, DevOps, Data Engineering, and Security teams; mentor and guide engineers and data scientists in software engineering and model validation best practices 

• Education:  Master’s or PhD in AI/ML, Computer Science (AI/ML specialization), Data Science, Mathematics, or related field 
• Industry Experience:  15+ years in AI/ML roles, including 7–10 years hands-on in Generative AI and Deep Learning, plus 5+ years in senior or leadership positions 
• Hands-On Coding & Deployment:  Expert at architecting, writing, debugging, deploying, and optimizing production-grade AI/ML code in Python (primary), C++, R, Java/Spring Boot, with strong testing, code-review, and performance-profiling discipline 
• Deep Learning & Generative AI Frameworks:  Advanced usage of PyTorch, TensorFlow, ONNX, GGUF, Hugging Face Transformers & Diffusers; fine-tuning pipelines (LlamaIndex, custom scripts) 
• Large Language & Multimodal Models:  Production deployment of LLMs, Multimodal LLMs (vision-language models, cross-modal understanding), RAG systems, and custom MCP A2A servers; embedding management & vector search with Pinecone, Milvus, Chroma, Quadrant 
• Advanced Model Optimization:  Quantization, pruning, distillation, MoE routing, efficient inference strategies, prompt-engineering platforms (LangSmith, PromptFlow) 
• Classical & Advanced ML:  Proficiency in regression, decision trees, random forests, SVM; boosting (XGBoost, CatBoost, LightGBM); clustering (K-Means, DBSCAN, hierarchical); RL (Q-Learning, DDPG, PPO); statistical methods and optimization math 
• Computer Vision & Document Processing:  Expertise in OpenCV, PyMuPDF, python-docx/pptx, pytesseract for advanced text/image extraction and analysis 
• Cloud & Infrastructure:  GPU acceleration (CUDA, cuDNN); AWS (Bedrock, SageMaker), Azure AI Studio & GPU Containers, GCP (Vertex AI, Cloud Run), serverless AI, NVIDIA Triton Inference Server 
• Backend & APIs:  FastAPI, OpenAPI, Django REST Framework, Flask for building and scaling AI microservices 
• Data Engineering & Storage:  ETL pipelines, streaming, caching; relational (MySQL, Oracle SQL), NoSQL (MongoDB), vector DBs 
• MLOps & Observability:  MLflow, Kubeflow; Docker, Kubernetes, OpenShift; CI/CD (Git, Bitbucket); monitoring with Prometheus, Grafana, OpenTelemetry, Logstash, Kibana 
• Security & Compliance:  Secure coding, network security, and adherence to GDPR, HIPAA, GxP standards 
• Industry Certifications & Research:  Must hold at least one recognized AI/ML certification (e.g. AWS Certified Machine Learning – Specialty, Google Professional Machine Learning Engineer, Microsoft Certified: Azure AI Engineer Associate) and have published research papers in top-tier AI/ML conferences or journals (NeurIPS, ACM, arXiv, AAAI, JMLR). 

• PhD-level publications and advanced certifications (Stanford AI, MIT, AWS, Google) 
• Experience with federated learning, synthetic data generation, privacy-preserving ML (differential privacy, homomorphic encryption), and edge/in-device inference (TensorFlow Lite, CoreML) 
• Familiarity with Responsible AI toolkits, model cards/DataCard’s, and AI risk management frameworks 
• Significant open-source contributions to major AI/ML projects 
• Proven success integrating AI in regulated industries (Texting/Messaging, pharma, healthcare, finance) Industries and disciplines.

If you are a passionate developer who loves coding and thrives in an innovative startup environment, apply now to join our journey in revolutionizing communication! 

Apply here or email to 

Experience:
5 to 7 years

Location:
Bengaluru, Gurgaon, Pune

About Us:

AceNet Consulting is a fast-growing global business and technology consulting firm specializing in business strategy, digital transformation, technology consulting, product development, start-up advisory and fund-raising services to our global clients across banking & financial services, healthcare, supply chain & logistics, consumer retail, manufacturing, eGovernance and other industry sectors.

We are looking for hungry, highly skilled and motivated individuals to join our dynamic team. If you're passionate about technology and thrive in a fast-paced environment, we want to hear from you.

Job Summary:

We are seeking a Lead AI Developer who will be responsible for building next-generation intelligent automation and conversational AI solutions. The ideal candidate will be hands-on with LLM-based development, Retrieval-Augmented Generation (RAG), vector databases, and custom ingestion/retrieval pipelines for unstructured and structured data. This role requires a blend of strong communication skills, deep technical expertise (Python, SQL, n8n, LLMs, DevOps), and a problem-solver mindset. You will lead projects end-to-end—from architecture and development to deployment and optimization—while mentoring a small team of AI engineers.

Key Responsibilities:

* Lead the design, development, and deployment of AI-powered applications leveraging LLMs (e.g., OpenAI, Anthropic), RAG pipelines, n8n, and chatbot frameworks.

* Architect scalable RAG ingestion and retrieval pipelines for unstructured data (e.g., documents, PDFs, SQL databases) and structured data, ensuring efficiency and accuracy.

* Apply advanced techniques such as Context-Aware Generation (CAG), re-ranking, hybrid search, and indexing strategies to handle complex real-world data scenarios.

* Enable runtime SQL query generation using AI to work with structured datasets and integrate results seamlessly into applications.

* Guide and mentor a small AI development team, ensuring high standards in code quality, collaboration, and delivery.

* Collaborate with product managers, designers, and backend teams to integrate intelligent features into business solutions.

* Review and improve machine learning models for scalability, reliability, and real-world applicability.

* Oversee integration of AI modules with APIs, external systems, and enterprise tools.

* Own troubleshooting, debugging, and performance tuning of AI solutions in production environments.

* Continuously enhance workflows, automation, DevOps practices, and technical documentation.

Role Requirements and Qualifications:

* Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

* 5+ years of software development experience, with at least 2 years in AI/ML, chatbots, or LLM-based application development.

* Proven hands-on expertise in LLM-based applications, RAG workflows, vector databases, and custom ingestion pipelines.

* Experience handling mixed data types (structured, semi-structured, unstructured), including documents with embedded structured data.

* Strong programming skills in Python and SQL, with the ability to generate runtime SQL queries using AI.

* Solid experience with n8n workflows, chatbot frameworks, and low-code/no-code automation platforms.

* Prior leadership experience in managing small technical teams and reviewing architecture.

* Familiarity with DevOps practices, RESTful APIs, and cloud environments (AWS, GCP, Azure).

* Excellent communication skills with the ability to explain complex technical concepts clearly.

* A problem-solver mindset with the ability to experiment, debug, and adapt solutions in dynamic environments.

Why Join Us:

* Work on transformative AI projects with leading global clients across industries.

*Exposure to cutting-edge technologies including LLMs, RAG, automation, and cloud-native AI.

* Competitive compensation, benefits, ESOPs, and opportunities for international exposure.

* Strong investment in employee growth through upskilling and career development.

* Open and collaborative culture with focus on innovation, transparency, and employee well-being.

Purpose/Objective

The AI Lead pivotal leadership role is crucial for driving the build-out of the Defence AI organization and its offerings. This position is responsible for spearheading innovation and growth within the sector, nurturing talent, and positioning Adani Defence as a key player in Defence and Aerospace AI applications both locally and globally. The AI Lead will lead strategic initiatives to enhance technological capabilities, foster a culture of continuous improvement, and ensure the organization remains at the forefront of AI advancements in the defence industry.

Key Responsibilities of Role

Responsibilities:

• Build Business Pipeline:
  Engage with Defence and Aerospace stakeholders to shape offerings that are relevant and impactful. This involves understanding the needs and challenges of these sectors and developing AI solutions that address them effectively.
• Build Organization:
  Create and nurture best-in-class capabilities across critical defence AI domains. This includes recruiting top talent, fostering a collaborative and innovative work environment, and ensuring continuous development of skills and expertise within the team.
• Oversee Creation of Relevant & Scalable AI Products & Solutions:
  Lead the development of configurable and scalable AI products and solutions that meet the needs of Defence and Aerospace customers. Ensure these solutions are adaptable and can be customized to address specific requirements.
• Ensure Timely Delivery of Key Projects:
  Oversee the timely delivery of key projects, including research and development projects in collaboration with academia. This involves setting clear timelines, managing resources effectively, and ensuring high-quality outcomes.
• Strategic Planning & Partnership:
  Develop the overall business build strategy and execute mergers and acquisitions as required. This includes identifying strategic opportunities, forming partnerships, and driving initiatives that support the long-term growth and success of the organization.

*
Qualifications and Experience

Educational Qualification:

• Armed services/ Intelligence services
• Background in Science & Engineering

Experiences:

• 15+ years experience
• Direct oversight of AI technology deployments in Defence context
• Experience in Cyber Security is desirable.

Matellio is hiring a skilled and visionary AI Lead to drive development of advanced AI solutions. This is a dual role involving both technical leadership and hands-on developmentperfect for someone who thrives on solving complex problems with machine learning, NLP, and LLM technologies.

Key Responsibilities:

• Lead and mentor a team of 4–5 AI/ML engineers, guiding them through the full project lifecycle from research to production deployment.
• Design and own both high-level and low-level architecture for AI and GenAI-based applications, ensuring scalability, performance, and maintainability.
• Collaborate with sales and business development teams to create technical proposals, including solution design, architecture diagrams, and high-level estimates for Sales Qualified Leads (SQLs).
• Work as an individual contributor when needed, developing key components of the solution to accelerate delivery and set best practices.
• Research, design, and implement machine learning and deep learning models, including fine-tuning and deploying LLMs (e.g., GPT, BERT) for production use cases.
• Build NLP pipelines and retrieval-augmented generation (RAG) systems using tools like LangChain, LangGraph, and vector databases (e.g., FAISS, Pinecone, Weaviate).
• Apply statistical techniques to feature engineering, model evaluation, and performance optimization.
• Ensure adherence to code quality, testing, CI/CD, and documentation standards.
• Stay current with AI/ML advancements and proactively propose innovative solutions.
• Conduct code reviews, encourage peer learning, and contribute to a strong engineering culture.

Required Skills and Qualifications:

• Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, Mathematics, or a related field.
• 7+ years of hands-on experience in AI/ML model development and deployment.
• Proven experience in leading technical teams and delivering production-grade AI/ML solutions.
• Strong architectural skills with experience designing end-to-end solutions involving cloud, APIs, and ML models.
• Demonstrated experience supporting technical pre-sales efforts through proposals, estimates, and client presentations.
• Proficient in Python and ML libraries such as TensorFlow, PyTorch, scikit-learn.
• Hands-on experience with NLP tools like HuggingFace Transformers, SpaCy, and NLTK.
• Practical knowledge of fine-tuning and deploying LLMs, and building GenAI solutions.
• Familiarity with LangChain, LangGraph, and vector stores (e.g., FAISS, Pinecone).
• Strong understanding of classical ML algorithms (SVM, Decision Trees, etc.) and when to use them.
• Experience deploying models and services using REST APIs, Docker, and CI/CD pipelines.
• Exposure to cloud platforms such as AWS, GCP, or Azure.
• Excellent analytical thinking, problem-solving, and communication skills.