15,169 AI Team Lead jobs in India

Key Responsibilities (State the primary duties and tasks of the position)

• Lead, mentor and manage a team of data annotators.
• Design and implement annotation workflows and guidelines tailored to specific AI/ML projects.
• Ensure consistency, accuracy, and quality in all annotation tasks across various data types (images, videos, text, audio, etc.).
• Conduct regular quality checks and audits of annotated datasets.
• Collaborate with ML Engineers, Data Scientists, and Project Managers to understand project requirements and annotation goals.
• Provide training and onboarding for new annotators.
• Review, clean, and analyse raw data to identify inconsistencies and patterns.
• Develop and maintain annotation tools, dashboards, and reports for tracking progress and quality.
• Suggest improvements to annotation strategies and contribute to dataset creation pipelines.
• Participate in meetings to present annotation insights and support data-driven decisions.

Role Purpose The purpose of this role is to develop minimum viable product (MVP) and comprehensive AI solutions that meet and exceed clients expectations and add value to business.

Do

• Manage the product/ solution development using the desired AI techniques
• Lead development and implementation of custom solutions through thoughtful use of modern AI technology
• Review and evaluate the use cases and decide whether a product can be developed to add business value
• Create the overall product development strategy and integrating with the larger interfaces
• Create AI models and framework and implement them to cater to a business problem
• Draft the desired user Interface and create AI models as per business problem
• Analyze technology environment and client requirements to define product solutions using AI framework/ architecture
• Implement the necessary security features as per products requirements
• Review the used case and see the latest AI that can be used in products development
• Identify problem areas and perform root cause analysis and provide relevant solutions to the problem
• Tracks industry and application trends and relates these to planning current and future AI needs
• Create and delegate work plans to the programming team for product development
• Interact with Holmes advisory board for knowledge sharing and best practices
• Responsible for developing and maintaining client relationships with the key strategic partners and decision makers
• Drive discussions and provide consultation around product design as per customer needs
• Participate in client interactions and gather insights regarding product development
• Interact with vertical delivery and business teams and provide and correct responses to RFP/ client requirements
• Assist in products demonstration and receive feedback from the client
• Design presentations for seminars, meetings and enclave primarily focused over product
• Team Management
• Resourcing
  • Forecast talent requirements as per the current and future business needs
  • Hire adequate and right resources for the team
• Talent Management
  • Ensure adequate onboarding and training for the team members to enhance capability & effectiveness
  • Build an internal talent pool and ensure their career progression within the organization
  • Manage team attrition
  • Drive diversity in leadership positions
• Performance Management
  • Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports
  • Ensure that the Performance Nxt is followed for the entire team
• Employee Satisfaction and Engagement
  • Lead and drive engagement initiatives for the team
  • Track team satisfaction scores and identify initiatives to build engagement within the team

Mandatory Skills: Generative AI .

Experience: 5-8 Years .

Role Overview:

Candidate should have deep technical skills and a track record of dependable, high-ownership execution. You may come from an engineering, ML, or data science background, but what sets you apart is your ability to lead entire product verticals, from design and architecture to delivery. This role is for someone who thrives in ambiguity, thinks from first principles, and can take full ownership of complex agent use cases across real-world domains. We are looking for people who can be trusted to independently run critical efforts and define the roadmap for agent products deployed in real-world environments like smart homes, engineering copilots, or creative tools.

What does day-to-day look like:

* Leading and delivering end-to-end agent use cases such as home automation agents, coding copilots, or creative design assistants

* Working across functions to take ideas from concept to production

* Designing and implementing key parts of the system yourself: this is a hands-on role

* Collaborating directly with clients to scope, adapt, and deliver high-impact agent solutions

* Acting as a dependable point of ownership for high-priority initiatives

* Leading teams, including mentoring engineers and enabling high performance through clarity and trust

* Bringing clarity, structure, and leadership to fast-moving, high-context work

Requirements:

* 7+ years in engineering, data science, or ML roles with demonstrated end-to-end ownership

* Proven ability to own and deliver complex, ambiguous projects end-to-end

* Clear communicator who handles complexity and cross-functional work with maturity

* Strong hands-on coding skills in Python; able to lead by example

* Excellent judgment and accountability, you are someone others can rely on

(Bonus) Experience working on LLM-powered products, intelligent agents, or autonomous systems

Job Type: Contractual / Temporary

Contract length: 9 months

Pay: ₹ ₹750.00 per hour

Benefits:

• Work from home

Work Location: Remote

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.

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

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.

Company Description

pi-labs provides cutting-edge cybersecurity and intelligence solutions to governments and enterprises, helping them stay ahead of emerging cyber threats driven by the rapid adoption of AI. We specialize in developing advanced tools that safeguard digital ecosystems and ensure trust, safety, and authenticity.

At pi-labs, you'll work with a team of passionate experts at the forefront of AI-powered security technologies. Join us to build impactful solutions, solve complex challenges, and contribute to protecting the digital world as it evolves.

About the Role

We are seeking an experienced AI Lead to take full
ownership
of our AI-driven product lifecycle from research and prototyping to deployment and scaling in production. The ideal candidate will possess hands-on expertise in Deep Learning, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and the Triton Inference Server, along with proven experience in delivering AI-based products to production.

This role requires a combination of strong technical leadership, architectural-level thinking, and the ability to guide a cross-functional team in developing scalable, enterprise-grade AI solutions.

Key Responsibilities

• Own the end-to-end AI technology strategy and roadmap for the product.
• Lead design and development of AI/ML models and LLMs, and RAG pipelines.
• Architect and optimize inference systems using Triton Inference Server and GPU-based deployments.
• Drive model lifecycle management: training, fine-tuning, evaluation, versioning, monitoring, and continuous improvement.
• Ensure production readiness of AI solutions including scalability, security, and reliability.
• Collaborate with product, engineering, and business teams to translate requirements into technical deliverables.
• Mentor and guide a team of AI engineers and researchers.
• Stay ahead of emerging AI trends and evaluate cutting-edge technologies for integration.

Required Skills & Experience

• 8–10 years of total experience with at least 3 years in AI/ML product development.
• Proven track record of taking AI-based products from concept to production.
• Strong expertise in:
• Deep Learning frameworks (TensorFlow, PyTorch)
• Large Language Models (LLMs) - training, fine-tuning, prompt engineering
• Retrieval-Augmented Generation (RAG) workflows
• Triton Inference Server for scalable inference deployment
• Hands-on experience with cloud platforms , on-premise deployments and GPU optimization.
• Strong programming skills in Python, and proficiency in MLOps pipelines, containerization (Docker, Kubernetes).
• Understanding of distributed training, vector databases (e.g., FAISS, Milvus, Pinecone), and model optimization techniques (quantization, pruning).
• Excellent problem-solving skills with a product-oriented mindset.
• Strong leadership qualities with experience in mentoring teams.

Lead AI Engineer

About the Role:

We are seeking an experienced AI specialist with a strong Computer Science/Engineering background to design, develop, and deploy advanced Generative AI-based solutions. In this role, you will build intelligent AI agents, leverage graph-based RAG techniques, and ensure robust production deployments to solve complex challenges in the Architecture, Engineering, and Construction (AEC) domain.

Key Responsibilities

• Collaborate with stakeholders to align AI initiatives with business goals.
• Lead and mentor a team of ML engineers and data scientists.
• Design, develop, and deploy enterprise-grade RAG systems that deliver accurate, context-aware responses in production environments.
• Incorporate AI agents and graph-based techniques (e.g., GraphRAG) to enable enhanced contextual data retrieval and support complex query relationships.
• Implement robust evaluation frameworks to measure and enhance RAG system effectiveness.
• Create scalable pipelines for document processing, embedding generation, and knowledge base management.
• Build monitoring systems to track performance, detect issues, and ensure RAG system reliability.
• Architect cloud-native solutions that can scale to handle enterprise document volumes and query loads.
• Explore and integrate cutting-edge techniques in Generative AI, including but not limited to model fine-tuning.

Qualifications & Skills

• A strong foundation in Computer Science or Engineering with 5-10 years' experience in NLP, Computer Vision, Deep Learning, Machine Learning, or related field.
• Extensive experience with LLMs and related technologies (e.g., embedding models, vector databases, etc.).
• Proven expertise in developing production-grade RAG systems.
• Knowledge of graph-based RAG techniques (e.g., Graph RAG or alternatives).
• Proficiency in Python and familiarity with Generative AI frameworks such as Hugging Face, Lang Chain, Llama Index, Prompt flow, Auto Gen, etc.
• Hands-on experience with cloud-based AI deployments (Azure preferred).
• Experience in LLM fine-tuning and optimization (e.g., LoRA) is a plus.
• Exposure to multi-modal RAG systems and LLMOps frameworks.
• Familiarity with deep learning architectures (e.g., Transformers, CNNs, GANs) and modern ML frameworks (e.g., PyTorch, Tensorflow, etc.).