14,012 AI Specialist jobs in India

Job Title : Generative AI Specialist.

We are looking for a skilled Generative AI Expert to design, develop and deploy cutting-edge AI solutions that revolutionize digital experiences.

1. The ideal candidate will have expertise in Generative AI, machine learning and software development. They should be able to conceptualize and implement innovative AI-based solutions that meet business needs.
2. Strong problem-solving skills, analytical thinking and excellent communication skills are required to work effectively with cross-functional teams and stakeholders.
3. A Bachelor's degree in Computer Science, Artificial Intelligence or related field is preferred.
4. Proficiency in programming languages such as Python, Java or C++ is essential. Experience with popular AI frameworks like TensorFlow or PyTorch is also desirable.

Why Choose Us:

• Opportunity to work on high-impact projects that drive business growth and innovation.
• Collaborative and dynamic work environment with experienced professionals.
• Comprehensive training and mentorship programs to enhance skills and knowledge.
• Flexible working hours and remote work options to maintain work-life balance.

What We Offer:

• Competitive salary and bonus structure.
• Stock options and equity participation in company success.
• Comprehensive health insurance and retirement savings plans.
• Access to cutting-edge technology and tools to support professional growth.

Company Overview:

Sundew is a leading digital transformation firm with an 18-year legacy of excellence. We specialize in digital strategy, application development, and engineering. As we expand, we are seeking an AI Engineer to design, build, and deploy AI-driven solutions, leveraging ML frameworks, programming expertise, and cloud platforms to drive innovation and deliver transformative value to our global clients

Key Responsibilities:

• Develop and deploy machine learning and deep learning models.
• Collaborate with data engineers to prepare and optimise datasets.
• Build scalable model training and inference pipelines.
• Evaluate and fine-tune model performance.
• Integrate AI solutions into products and internal systems.
• Stay updated with the latest AI research and tools.

Required Skills :

• Proficiency in Python with ML libraries (TensorFlow, PyTorch, Scikit-learn).
• Strong understanding of supervised, unsupervised, and deep learning algorithms.
• Experience with model deployment (REST APIs, cloud-based AI services).
• Knowledge of data pre-processing and feature engineering.
• Familiarity with MLOps tools (MLflow, Kubeflow, SageMaker, Vertex AI).
• Experience with natural language processing (NLP) or computer vision.
• Familiarity with vector databases and retrieval-augmented generation (RAG).
• Well-versed in Data security and governance.
• Can contribute to threat modelling and ethical AI compliance requirements.

About the Company

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.

About the Role

A Developer, you will design, develop, train, and implement machine learning and deep learning models capable of processing large datasets and generating actionable insights.

Responsibilities

• Strong Programming skills in Python or Scala.
• Hands-on experience in vector databases like Pinecone, and Chroma db.
• Deep knowledge of AI technologies like machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn (e.G., APIs, microservices, event-driven IT, MLflow).
• Extensive experience writing production-ready code, hands-on experience with different programming paradigms and (MLOps and DevSecOps).
• Practical and professional experience contributing to and maintaining a large code base with code versioning systems such as Git.
• Minimum 8-10 years of experience in implementing automation initiatives based on Gen AI / ML, NLP, CPA, CoPilot, Gemini, RPA and other tools.
• Hands-on experience on programming (Python, Scala) and working with Gen-AI frameworks, LLM Models.
• Hands-on Experience to all SDLC Phases.
• Deploy AI models into production environments, ensuring they integrate smoothly with existing software systems.
• Monitor, update & refine the performance of deployed models.
• Should be skilled in problem-solving, Data analysis and Interpretation, pattern recognition, Algorithmic thinking, critical thinking, debugging and troubleshooting.
• Automate model packaging and deployment into production environments, with traceability on model version, experimentation and control checks.
• Building automated model performance monitoring services to monitor model health and report data to data scientists, model owner, and model validators.
• Builds and mentors architecture teams.
• Have the mindset to build Enterprise-grade solutions aligned to the industry's best practices.
• Build reusable frameworks and platforms to allow data scientists, devops teams to train and deploy models.
• Exceptional written, verbal, and interpersonal communication skills to articulate strategies to technical audiences.
• Collaborate to create propositions on AI / GenAI for clients.
• Willingness to quickly learn and start using various technologies and contribute to the COE.

Qualifications

• Mandatory Skills: PYTHON

Required Skills

• Strong Programming skills in Python or Scala.
• Hands-on experience in vector databases like Pinecone, and Chroma db.
• Deep knowledge of AI technologies like machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn.

Preferred Skills

• Experience with MLOps and DevSecOps.
• Hands-on experience with Gen AI / ML, NLP, CPA, CoPilot, Gemini, RPA.

We're looking for an experienced AI Specialist to lead the development of cutting-edge voice AI systems and intelligent agents.

• Develop and maintain AI-driven, real-time speech-to-speech conversational agents

You'll be responsible for designing and implementing end-to-end AI pipelines that enhance user experiences. If you have a passion for building innovative solutions with Python or similar languages, we'd love to hear from you.

Required Skills:

• 5+ years of hands-on software engineering experience with Python or similar languages

Technical Requirements:

• Experience building and scaling distributed systems in cloud environments
• Proficiency in API design
• Proficiency with generative AI frameworks and tools
• Hands on experience with large language models, prompt engineering
• Demonstrated ability to write clean, maintainable, and well-tested code
• Experience with CI/CD pipelines, cloud platforms like AWS and deployment automation
• Knowledge of monitoring, observability, and production debugging tools
• Familiarity with vector databases

Benefits:

• Opportunity to work on cutting-edge AI technology with real-world impact

What We Offer:

• A competitive compensation package and benefits

Please submit your resume along with links to relevant GitHub repositories or project examples that demonstrate experience with AI or related technologies.

As an AI Specialist at United Field Services, you will be responsible for designing, building, and implementing AI-driven solutions that enhance our operational efficiency and product offerings. You’ll work closely with cross-functional teams—from engineering to product management—to integrate AI models (including large language models like ChatGPT) into our systems. This is an exciting opportunity for someone passionate about leveraging artificial intelligence to solve real-world problems and drive business value.

• AI Model Integration: Develop and integrate advanced AI models (e.g., ChatGPT) into our existing platforms and workflows to automate and enhance various business processes.
• Data Pipeline Development: Collaborate with data engineers to design robust data pipelines that support model training, deployment, and real-time inference.
• Model Training & Fine-Tuning: Fine-tune language models using proprietary datasets to improve performance, accuracy, and relevance in our specific use cases.
• Collaboration & Communication: Work cross-functionally with product managers, software engineers, and stakeholders to identify AI opportunities, define project goals, and deliver innovative solutions.
• Quality Assurance & Troubleshooting: Ensure that the AI components are reliable, scalable, and meet strict quality standards. Investigate and resolve technical issues in a timely manner.
• Research & Innovation: Stay up to date with the latest AI and NLP research, tools, and best practices. Propose and implement new AI-driven features and improvements.

• Education & Experience:
• Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related field (or equivalent practical experience).
• Demonstrated experience developing and deploying AI or NLP models in a production environment.
• Technical Expertise:
• Proficiency in Python (preferred) or another programming language commonly used for AI/ML.
• Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and NLP libraries.
• Experience working with large language models (ChatGPT, GPT-3/4, BERT, etc.) and integrating them into real-world applications.
• Understanding of data structures, algorithms, and machine learning fundamentals.
• Problem-Solving Skills:
• Ability to dissect complex business problems and translate them into actionable AI solutions.
• Comfort with building proof-of-concepts to validate new ideas and refine solutions iteratively.
• Collaboration & Communication:
• Excellent verbal and written communication skills.
• Ability to work effectively with cross-functional teams in a remote environment.

• Industry Background: Familiarity with field services, property inspection, or real estate domains.
• Cloud Experience: Experience deploying AI solutions on AWS, Azure, or GCP.
• MLOps: Knowledge of CI/CD pipelines for machine learning (e.g., containerization, model versioning, and automated deployment).
• Security & Compliance: Understanding of data privacy and compliance regulations relevant to AI (e.g., GDPR, CCPA).

Is your next career move to work in a team which uses data, reporting and analytical skills to help answer business questions to make DAZN a data-driven company?

DAZN is a tech-first sport streaming platform that reaches millions of users every week. We are challenging a traditional industry and giving power back to the fans. Our new Hyderabad tech hub will be the engine that drives us forward to the future. We’re pushing boundaries and doing things no-one has done before. Here, you have the opportunity to make your mark and the power to make change happen - to make a difference for our customers. When you join DAZN you will work on projects that impact millions of lives thanks to your critical contributions to our global products

This is the perfect place to work if you are passionate about technology and want an opportunity to use your creativity to help grow and scale a global range of IT systems, Infrastructure, and IT Services. Our cutting-edge technology allows us to stream sports content to millions of concurrent viewers globally across multiple platforms and devices. DAZN’s Cloud based architecture unifies a range of technologies to deliver a seamless user experience and support a global user base and company infrastructure.

This role will be based in our brand-new Hyderabad office. Join us in India’s beautiful “City of Pearls” and bring your ambition to life. Considering the Urgency, we are only seeking Immediate Joiners

Job Title : Data Scientist

Location: Hyderabad

Work Mode: Work from Office.

Seeking Immediate Joiners only .

Job Summary:

We are seeking a passionate and experienced Data Scientist / Machine Learning Engineer with a strong foundation in Machine Learning, Deep Learning, and Generative AI (GenAI). The ideal candidate will have hands-on experience with modern AI frameworks and libraries, a proven ability to design, develop, and deploy scalable ML solutions, and expertise in working with Large Language Models (LLMs).

You will leverage your skills to drive impactful solutions, staying at the forefront of advancements in ML, DL, and GenAI. You will work on cutting-edge projects, incorporating the latest technologies into production-ready systems. If you are excited about advancing your career in a dynamic, innovation-driven environment, we invite you to join us!

Key Responsibilities:

- Role Recommendation Engine, for Data accuracy-Develop, train, and fine-tune machine learning and deep learning models for diverse business use cases. With an Overall experience of (2-6 Years)

- Work with Generative AI and LLMs, including customizing, fine-tuning, and deploying models for real-world applications.

- Stay updated with the latest advancements in Machine Learning, Deep Learning, and Generative AI, and incorporate them into projects.

Required Skills:

- Machine Learning Frameworks: Proficiency in Scikit-learn, TensorFlow or PyTorch.

- Deep Learning: Experience building and training deep learning models, including CNNs, RNNs, Transformers, and other architectures.

- Generative AI: Hands-on experience with Generative AI models, including fine-tuning and deploying LLMs.

- Programming: Strong skills in Python;
familiarity with libraries like NumPy, pandas, and Matplotlib.

- Data Handling: Experience working with structured and unstructured data, including text, images, and time-series.

Good to have Skills:

- Exposure to tools like Hugging Face Transformers for working with LLMs.

- Understanding of MLOps practices, including CI/CD pipelines for ML models.

- Experience with GPU-accelerated computing.

- Experience with distributed training frameworks (e.G., Horovod, PyTorch Lightning).

- Cloud Platforms: Familiarity with cloud services like AWS

Qualifications:

- Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.

- 3 - 6+ years of professional experience in Machine Learning and Deep Learning.

- Proven track record of deploying ML/DL models in production environments.

Job Title: Data Scientist

Experience: 5+ Years

Location: Remote/ Indore/ Mumbai/ Chennai/ Gurugram

Industry: Must be from BPO/KPO or Healthcare Org. or Shared Services

Key Responsibilities:

AI/ML Development & Research

• Design, develop, and deploy advanced machine learning and deep learning models to solve complex business problems.
• Implement and optimize Large Language Models (LLMs) and Generative AI solutions for real-world applications.
• Build agent-based AI systems with autonomous decision-making capabilities.
• Conduct cutting-edge research on emerging AI technologies and explore their practical applications.
• Perform model evaluation, validation, and continuous optimization to ensure high performance.

Cloud Infrastructure & Full-Stack Development:

• Architect and implement scalable, cloud-native ML/AI solutions using AWS, Azure, or GCP.
• Develop full-stack applications that seamlessly integrate AI models with modern web technologies.
• Build and maintain robust ML pipelines using cloud services (e.G., SageMaker, ML Engine).
• Implement CI/CD pipelines to streamline ML model deployment and monitoring processes.
• Design and optimize cloud infrastructure to support high-performance computing workloads.

Data Engineering & Database Management

• Design and implement data pipelines to enable large-scale data processing and real-time analytics.
• Work with both SQL and NoSQL databases (e.G., PostgreSQL, MongoDB, Cassandra) to manage structured and unstructured data.
• Optimize database performance to support machine learning workloads and real-time applications.
• Implement robust data governance frameworks and ensure data quality assurance practices.
• Manage and process streaming data to enable real-time decision-making.

Leadership & Collaboration

• Mentor junior data scientists and assist in technical decision-making to drive innovation.
• Collaborate with cross-functional teams, including product, engineering, and business stakeholders, to develop solutions that align with organizational goals.
• Present findings and insights to both technical and non-technical audiences in a clear and actionable manner.
• Lead proof-of-concept projects and innovation initiatives to push the boundaries of AI/ML applications.

Required Qualifications:

• Education & Experience
• Master’s or PhD in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• 5+ years of hands-on experience in data science and machine learning, with a focus on real-world applications.
• 3+ years of experience working with deep learning frameworks and neural networks.
• 2+ years of experience with cloud platforms and full-stack development.

Technical Skills - Core AI/ML

• Machine Learning: Proficient in Scikit-learn, XGBoost, LightGBM, and advanced ML algorithms.
• Deep Learning: Expertise in TensorFlow, PyTorch, Keras, CNNs, RNNs, LSTMs, and Transformers.
• Large Language Models: Experience with GPT, BERT, T5, fine-tuning, and prompt engineering.
• Generative AI: Hands-on experience with Stable Diffusion, DALL-E, text-to-image, and text generation models.
• Agentic AI: Knowledge of multi-agent systems, reinforcement learning, and autonomous agents.

Technical Skills - Development & Infrastructure

• Programming: Expertise in Python, with proficiency in R, Java/Scala, JavaScript/TypeScript.
• Cloud Platforms: Proficient with AWS (SageMaker, EC2, S3, Lambda), Azure ML, or Google Cloud AI.
• Databases: Proficiency with SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra, DynamoDB).
• Full-Stack Development: Experience with React/Vue.Js, Node.Js, FastAPI, Flask, Docker, Kubernetes.
• MLOps: Experience with MLflow, Kubeflow, model versioning, and A/B testing frameworks.
• Big Data: Expertise in Spark, Hadoop, Kafka, and streaming data processing.

Non Negotiables:

• Cloud Infrastructure - ML/AI solutions on AWS, Azure, or GCP
• Build and maintain ML pipelines using cloud services (SageMaker, ML Engine, etc.)
• Implement CI/CD pipelines for ML model deployment and monitoring
• Work with both SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra, etc.)
• Machine Learning: Scikit-learn
• Deep Learning: TensorFlow
• Programming: Python (expert), R, Java/Scala, JavaScript/TypeScript
• Cloud Platforms: AWS (SageMaker, EC2, S3, Lambda)
• vector databases and embeddings (Pinecone, Weaviate, Chroma)
• Knowledge of LangChain, LlamaIndex, or similar LLM frameworks.

If interested, please share your resume to

Job Title: Data Scientist

Job Location: Jaipur | Pune | Bangalore

Experience: 3+ years

Job Description

We are seeking a highly skilled Data Scientist with strong expertise in Machine Learning and Python programming. The ideal candidate should be passionate about writing clean and efficient code, developing production-ready ML models, and solving complex business challenges using data. In addition, good exposure to Generative AI (GenAI) is highly desirable.

This role is best suited for someone who thrives in coding-intensive environments, enjoys

experimenting with algorithms, and can translate theoretical concepts into scalable ML and AI

solutions.

Key Responsibilities

- Machine Learning Development: Design, build, and optimize classical ML models

(regression, SVM, decision trees, random forests, gradient boosting, clustering,

dimensionality reduction).

- Python Programming: Write clean, efficient, and scalable Python code, leveraging libraries

such as NumPy, Pandas, Scikit-learn, etc.

- Deep Learning Systems: Implement and fine-tune deep learning models (CNNs, RNNs,

Transformers) using frameworks like TensorFlow or PyTorch.

- Generative AI (Good Exposure Required): Work with LLMs, Transformers, GANs, VAEs;
fine-

tune and optimize GenAI models;
contribute to prompt engineering and applied use cases.

- Data Management & Feature Engineering: Handle large datasets, perform preprocessing,

augmentation, and feature engineering for ML workflows.

- Model Deployment & Monitoring: Deploy models into production and monitor performance,

addressing issues like drift, bias, or overfitting.

- Coding Standards: Participate in code reviews, ensure best practices in coding, scalability,

and maintainability of ML solutions.

- Collaboration: Work closely with cross-functional teams including engineers and product

managers to integrate ML/GenAI solutions into real-world applications.

Qualifications

- Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Statistics,

or related fields.

- Primary Skills: Strong expertise in Machine Learning and Python programming.

- Good exposure to Generative AI (LLMs, Transformers, Prompt Engineering, Fine-tuning

models).

- Experience with ML/DL frameworks such as TensorFlow, PyTorch, or Keras.

- Good mathematical/statistical foundation in probability, optimization, and modeling.

- Familiarity with deployment platforms (AWS SageMaker, Azure ML, GCP AI) and MLOps

practices is an advantage.

- Strong coding discipline, with experience in writing optimized, production-ready code.

Soft Skills & Behavioural Competencies

- Strong problem-solving and analytical mindset.

- Excellent communication and collaboration skills.

- Self-motivated, reliable, and detail-oriented.

- Ability to manage time effectively and meet deadlines.

- Eagerness to learn and adapt to emerging technologies.

Candidate Can share cv or reference at

Job Description – Gemini Specialist (7–10 Years of Experience)

About the Role

We are seeking a highly skilled Gemini Specialist to design, develop, and deploy advanced AI solutions leveraging Google Gemini models within the Google Cloud ecosystem. The ideal candidate will bring a blend of hands-on technical expertise, solution architecture skills, and the ability to work closely with cross-functional teams to drive innovation and business value.

Responsibilities

• Design, implement, and optimize solutions using Google Gemini LLMs for real-world enterprise use cases.
• Collaborate with stakeholders to identify opportunities where Gemini AI can enhance processes, products, and customer experiences.
• Develop, fine-tune, and deploy Gemini models via Vertex AI , Generative AI Studio , and related GCP services.
• Build end-to-end GenAI pipelines integrating Gemini APIs with business applications.
• Ensure performance, scalability, and responsible AI compliance in all Gemini-powered solutions.
• Evaluate Gemini’s capabilities against other LLMs to recommend best-fit solutions.
• Provide thought leadership and mentoring to junior engineers in AI/ML adoption.
• Work with BigQuery , Dataflow , Pub/Sub , and Cloud Storage for data preparation and integration.
• Stay updated with the latest Gemini advancements and industry AI trends.

Qualifications

• 7–10 years of experience in software engineering, data science, or AI/ML solutioning.
• Proven expertise with Google Cloud Platform (GCP) , especially Vertex AI , AI Studio , and Generative AI APIs .
• Hands-on experience in deploying Gemini Pro , Gemini Ultra , or domain-specific Gemini models.
• Strong proficiency in Python, Java, or Node.js, with experience in building scalable APIs and applications.
• Experience with MLOps, CI/CD pipelines, and monitoring AI workloads.
• Knowledge of prompt engineering, fine-tuning, embeddings, and vector databases (Pinecone, Weaviate, Vertex Matching Engine).
• Strong background in data engineering and working with structured/unstructured data.
• Excellent problem-solving, communication, and stakeholder management skills.

Preferred Skills

• Google Cloud certifications such as Professional Cloud Architect , Machine Learning Engineer , or Generative AI Engineer .
• Experience with multimodal AI (text, image, audio, video) using Gemini models.
• Knowledge of responsible AI practices, bias mitigation, and explainability techniques.
• Prior experience in building enterprise-grade AI applications in domains like BFSI, Healthcare, Retail, or Telecom.