15+ Artificial Intelligence (AI) Jobs in Chennai | Artificial Intelligence (AI) Job openings in Chennai

Design Lead – Zolvit

Location: Bangalore / Chennai

About the Role

We’re looking for a Design Lead who can manage and grow a small but mighty team of 3–5 designers, while also contributing as a senior individual contributor. This is a high-impact role at the intersection of leadership and craft — ideal for someone who can elevate both design quality and team capability in a fast-paced product environment.

You’ll report to the CPTO and work closely with Product, Engineering, and Marketing leaders to define how AI can transform the compliance experience for Indian SMEs.

What You’ll Do

1. Lead & Build the Design Function

• Own end-to-end design for all Zolvit products across web & mobile
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• Hire, mentor, and develop a team of junior designers into independent product owners
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2. Scale Design Systems & Ops

• Create and maintain a scalable design system
• Implement structured design review processes
• Set up tools that reduce design-to-dev friction (e.g., Figma libraries, shared trackers)
• Experiment with AI-powered tools (e.g., Figma AI, Galileo AI) to accelerate wireframing, mockups, and QA — and build internal playbooks from these pilots

3. Act as a Strategic Partner

• Represent design in roadmap planning and cross-functional initiatives.

Provide design input to new product bets, strategy artifacts, and investor/GTM pitches

• Collaborate closely with business teams to ensure design is aligned with outcomes, not just aesthetics

You Should Have

• 5–7 years of product design experience, with at least 1–2 years in a lead or principal designer role
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• A strong portfolio that demonstrates excellence in product thinking, interaction design, and visual execution
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• Experience mentoring and reviewing the work of junior designers
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• A growth mindset and openness to experimenting with AI and new tools

Why Zolvit?

Zolvit is building the most trusted platform for Legal, Tax, and Compliance services for Indian businesses. We combine human expertise with AI-driven workflows to help SMEs stay compliant and stress-free. As we scale, design will be at the heart of simplifying complexity and making compliance feel effortless.

Job Title: AI Engineer - NLP/LLM Data Product Engineer Location: Chennai, TN- Hybrid

Duration: Full time

Job Summary:

About the Role:

We are growing our Data Science and Data Engineering team and are looking for an

experienced AI Engineer specializing in creating GenAI LLM solutions. This position involves collaborating with clients and their teams, discovering gaps for automation using AI, designing customized AI solutions, and implementing technologies to streamline data entry processes within the healthcare sector.

Responsibilities:

·        Conduct detailed consultations with clients functional teams to understand client requirements, one use case is related to handwritten medical records.

·        Analyze existing data entry workflows and propose automation opportunities.

Design:

·        Design tailored AI-driven solutions for the extraction and digitization of information from handwritten medical records.

·        Collaborate with clients to define project scopes and objectives.

Technology Selection:

·        Evaluate and recommend AI technologies, focusing on NLP, LLM and machine learning.

·        Ensure seamless integration with existing systems and workflows.

Prototyping and Testing:

·        Develop prototypes and proof-of-concept models to demonstrate the feasibility of proposed solutions.

·        Conduct rigorous testing to ensure accuracy and reliability.

Implementation and Integration:

·        Work closely with clients and IT teams to integrate AI solutions effectively.

·        Provide technical support during the implementation phase.

Training and Documentation:

·        Develop training materials for end-users and support staff.

·        Create comprehensive documentation for implemented solutions.

Continuous Improvement:

·        Monitor and optimize the performance of deployed solutions.

·        Identify opportunities for further automation and improvement.

Qualifications:

·        Advanced degree in Computer Science, Artificial Intelligence, or related field (Masters or PhD required).

·        Proven experience in developing and implementing AI solutions for data entry automation.

·        Expertise in NLP, LLM and other machine-learning techniques.

·        Strong programming skills, especially in Python.

·        Familiarity with healthcare data privacy and regulatory requirements.

Additional Qualifications( great to have):

An ideal candidate will have expertise in the most current LLM/NLP models, particularly in the extraction of data from clinical reports, lab reports, and radiology reports. The ideal candidate should have a deep understanding of EMR/EHR applications and patient-related data.

Dear Candidate;

Greetings from!!

Vinga Software Solutions

Product Details:

Bautomate is a Intelligent Business Process Automation Software comprehensive hyper automation platform housed within a single software system. | AI-Powered Process Automation Solution

Vinga Software Solutions is the Parent Company of Bautomate Product https://www.vinga.biz/about/ and you'll be in the role of Vinga Software Solutions.

About the Product:

Bautomate offers cognitive automation solutions designed to automate repetitive tasks, eliminate bottlenecks, and enable seamless workflows.

The product combines artificial intelligence, business process management, robotic process automation (RPA), and optical character recognition (OCR) to streamline and optimize various business processes. It provides a transformative solution to empower businesses of all sizes across industries to achieve unprecedented levels of productivity and success.

Unique features of Bautomate's business process automation solutions include:

Workflow Automation: Bautomate's intuitive drag-and-drop interface enables users to easily automate complex workflows, leveraging pre-built components for effective intelligent automation.

Data Integration: Seamless integration with all existing systems and applications ensures smooth data transfer and real-time information exchange, enhancing collaboration and decision-making.

Intelligent Analytics: By harnessing advanced analytics capabilities, businesses can gain valuable insights into their processes, identify areas for improvement, and make data-driven decisions. It allows organizations to optimize their operations and drive growth based on comprehensive data analysis.

Cognitive Automation: Our comprehensive solution encompasses Intelligent Document Capture utilizing OCR & NLP, Predictive Analytics for Forecasting, Computer Vision and Image Processing, Anomaly Detection, and an Intelligent Decision Engine.

Scalability and Flexibility: Bautomate platform is highly scalable, accommodating the evolving needs of businesses as they grow. It offers flexible deployment options, including on-premises and cloud-based solutions.

About Us: We are leading provider of business process automation, aiding firms to streamline operations, boost efficiency, and spur growth. Our suite includes AP automation, purchase order automation, P2P automation, invoice automation, IVR testing automation, form etc.

AI/ML Developer – Lead (LLM & Gen AI)

Experience Required: 5 to 9 years

Job Location: Madurai

Role Overview:

We are looking for a Senior AI/ML Developer with expertise in Large Language Models (LLM) & Generative AI. The ideal candidate should have experience in developing and deploying AI-driven solutions.

Key Responsibilities:

• Design and develop AI/ML models focusing on LLMs & Generative AI.
• Collaborate with data scientists to optimize model performance.
• Deploy AI solutions on cloud platforms (AWS, GCP, Azure).
• Lead AI projects and mentor junior developers.

Required Skills:

• Expertise in LLMs, Gen AI, NLP, and Deep Learning.
• Strong coding skills in Python, TensorFlow, PyTorch.
• Experience in ML model deployment using Docker/Kubernetes.
• Knowledge of cloud-based AI/ML services.

Can you pls fill these details

Total work experience :

Experience in AI/ML :

Exp in LLM & Generative AI :

Exp in NLP, deep learning, python / pytorch / tensorflow :

Exp in 

Current CTC ;

Expected CTC :

Last working day :

Notice Period:

Current Location :

Native Place :

Reason for Job Change :

Marital Status :

Do you have any offer in hand :

Responsibilities

• Design and implement advanced solutions utilizing Large Language Models (LLMs).
• Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions.
• Conduct research and stay informed about the latest developments in generative AI and LLMs.
• Develop and maintain code libraries, tools, and frameworks to support generative AI development.
• Participate in code reviews and contribute to maintaining high code quality standards.
• Engage in the entire software development lifecycle, from design and testing to deployment and maintenance.
• Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility.
• Possess strong analytical and problem-solving skills.
• Demonstrate excellent communication skills and the ability to work effectively in a team environment.

Primary Skills

• Generative AI: Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, ReAct, agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities.
• Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch and Huggingface. Techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, and GPU utilization.
• Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred.
• Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, and Git.
• Natural Language Processing (NLP): Hands-on experience in use case classification, topic modeling, Q&A and chatbots, search, Document AI, summarization, and content generation.
• Computer Vision and Audio: Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis.

Job Overview

We are looking for an AI Market Research & Social Media Associate to research AI trends, analyze market developments, and create engaging content across all social media platforms. The ideal candidate is passionate about AI, skilled in research, and experienced in social media strategy to maximize audience engagement.

Key Responsibilities

• Research AI trends, market developments, and industry insights.
• Analyze AI adoption, competitor strategies, and emerging technologies.
• Create engaging content for LinkedIn, Twitter, Instagram, YouTube, TikTok, and more.
• Simplify complex AI topics into easy-to-understand posts, infographics, and videos.
• Develop and manage a content calendar for consistent social media posting.
• Monitor social media trends, optimize engagement, and track performance metrics.
• Engage with AI communities, industry leaders, and influencers.
• Collaborate with internal teams to align research and content strategies.

Qualifications & Skills

Required:

• Strong interest in AI, market research, and emerging technologies.
• Excellent research, writing, and analytical skills.
• Proficiency in content creation for multiple social media platforms.
• Understanding of social media trends, algorithms, and engagement strategies.
• Ability to simplify and present complex AI topics in an engaging way.
• Self-motivated and proactive.

Preferred:

• Background in AI, Data Science, Marketing, or Digital Media.
• Experience in social media management or content strategy.
• Familiarity with AI tools (OpenAI, Hugging Face, TensorFlow, LangChain).
• Knowledge of SEO and social media analytics.

Benefits

• Hands-on experience in AI market research and content strategy.
• Exposure to leading AI tools, trends, and industry insights.
• Networking opportunities with AI experts and thought leaders.
• Opportunity to grow in AI, digital marketing, and content creation.

Job Type: Internship

Contract length: 6 months

Pay: ₹10,000.00 - ₹15,000.00 per month

Benefits:

• Cell phone reimbursement
• Flexible schedule

Schedule:

• Day shift

Language:

• English (Preferred)

Work Location: In person

Key Responsibilities:

• Develop and maintain scalable Python applications for AI/ML projects.
• Design, train, and evaluate machine learning models for classification, regression, NLP, computer vision, or recommendation systems.
• Collaborate with data scientists, ML engineers, and software developers to integrate models into production systems.
• Optimize model performance and ensure low-latency inference in real-time environments.
• Work with large datasets to perform data cleaning, feature engineering, and data transformation.
• Stay current with new developments in machine learning frameworks and Python libraries.
• Write clean, testable, and efficient code following best practices.
• Develop RESTful APIs and deploy ML models via cloud or container-based solutions (e.g., AWS, Docker, Kubernetes).

Share Cv to

Thirega@ vysystems dot com - WhatsApp - 91Five0033Five2Three

Role Overview:

We are seeking a highly skilled and motivated Data Scientist to join our growing team. The ideal candidate will be responsible for developing and deploying machine learning models from scratch to production level, focusing on building robust data-driven products. You will work closely with software engineers, product managers, and other stakeholders to ensure our AI-driven solutions meet the needs of our users and align with the company's strategic goals.

Key Responsibilities:

• Develop, implement, and optimize machine learning models and algorithms to support product development.
• Work on the end-to-end lifecycle of data science projects, including data collection, preprocessing, model training, evaluation, and deployment.
• Collaborate with cross-functional teams to define data requirements and product taxonomy.
• Design and build scalable data pipelines and systems to support real-time data processing and analysis.
• Ensure the accuracy and quality of data used for modeling and analytics.
• Monitor and evaluate the performance of deployed models, making necessary adjustments to maintain optimal results.
• Implement best practices for data governance, privacy, and security.
• Document processes, methodologies, and technical solutions to maintain transparency and reproducibility.

Qualifications:

• Bachelor's or Master's degree in Data Science, Computer Science, Engineering, or a related field.
• 5+ years of experience in data science, machine learning, or a related field, with a track record of developing and deploying products from scratch to production.
• Strong programming skills in Python and experience with data analysis and machine learning libraries (e.g., Pandas, NumPy, TensorFlow, PyTorch).
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker).
• Proficiency in building and optimizing data pipelines, ETL processes, and data storage solutions.
• Hands-on experience with data visualization tools and techniques.
• Strong understanding of statistics, data analysis, and machine learning concepts.
• Excellent problem-solving skills and attention to detail.
• Ability to work collaboratively in a fast-paced, dynamic environment.

Preferred Qualifications:

• Knowledge of microservices architecture and RESTful APIs.
• Familiarity with Agile development methodologies.
• Experience in building taxonomy for data products.
• Strong communication skills and the ability to explain complex technical concepts to non-technical stakeholders.

Company: Optimum Solutions

About the company: Optimum solutions is a leader in a sheet metal industry, provides sheet metal solutions to sheet metal fabricators with a proven track record of reliable product delivery. Starting from tools through software, machines, we are one stop shop for all your technology needs.

Role Overview:

• Creating and managing database schemas that represent and support business processes, Hands-on experience in any SQL queries and Database server wrt managing deployment.
• Implementing automated testing platforms, unit tests, and CICD Pipeline
• Proficient understanding of code versioning tools, such as GitHub, Bitbucket, ADO
• Understanding of container platform, such as Docker

Job Description

• We are looking for a good Python Developer with Knowledge of Machine learning and deep learning framework.
• Your primary focus will be working the Product and Usecase delivery team to do various prompting for different Gen-AI use cases
• You will be responsible for prompting and building use case Pipelines
• Perform the Evaluation of all the Gen-AI features and Usecase pipeline

Position: AI ML Engineer

Location: Chennai (Preference) and Bangalore

Minimum Qualification:  Bachelor's degree in computer science, Software Engineering, Data Science, or a related field.

Experience:  4-6 years

CTC: 16.5 - 17 LPA

Employment Type:  Full Time

Key Responsibilities:

• Take care of entire prompt life cycle like prompt design, prompt template creation, prompt tuning/optimization for various Gen-AI base models
• Design and develop prompts suiting project needs
• Lead and manage team of prompt engineers
• Stakeholder management across business and domains as required for the projects
• Evaluating base models and benchmarking performance
• Implement prompt gaurdrails to prevent attacks like prompt injection, jail braking and prompt leaking
•  Develop, deploy and maintain auto prompt solutions
• Design and implement minimum design standards for every use case involving prompt engineering

Skills and Qualifications

• Strong proficiency with Python, DJANGO framework and REGEX
• Good understanding of Machine learning framework Pytorch and Tensorflow
• Knowledge of Generative AI and RAG Pipeline
• Good in microservice design pattern and developing scalable application.
• Ability to build and consume REST API
• Fine tune and perform code optimization for better performance.
• Strong understanding on OOP and design thinking
• Understanding the nature of asynchronous programming and its quirks and workarounds
• Good understanding of server-side templating languages
• Understanding accessibility and security compliance, user authentication and authorization between multiple systems, servers, and environments
• Integration of APIs, multiple data sources and databases into one system
• Good knowledge in API Gateways and proxies, such as WSO2, KONG, nginx, Apache HTTP Server.
• Understanding fundamental design principles behind a scalable and distributed application
• Good working knowledge on Microservices architecture, behaviour, dependencies, scalability etc.
• Experience in deploying on Cloud platform like Azure or AWS
• Familiar and working experience with DevOps tools like Azure DEVOPS, Ansible, Jenkins, Terraform

Company Name : LMES Academy Private Limited

Website : https://lmes.in/

Linkedin : https://www.linkedin.com/company/lmes-academy/mycompany/

Role : Machine Learning Engineer

Experience: 2 Year to 4 Years

Location: Urapakkam, Chennai, Tamil Nadu.

Job Overview:

We are looking for a Machine Learning Engineer to join our team and help us advance our AI capabilities.

Requirements 

• Model Training and Fine-Tuning: Utilize and refine large language models using techniques such as distillation and supervised fine-tuning to enhance performance and efficiency.

• Retrieval-Augmented Generation (RAG): Good understanding on RAG systems to improve the quality and relevance of generated content.

• Vector Databases: Familiar with vector databases to support fast and accurate similarity searches and other ML-driven functionalities.

• API Integration: Good in REST APIs and integrate third-party APIs, including Open AI, Google Vertex, and Cloudflare Workers AI, to extend our AI capabilities.

• Generative AI: Experience with generative AI applications, including text-to-image, speech recognition, and text-to-speech systems.

• Collaboration: Work collaboratively with cross-functional teams, including data scientists, developers, and product managers, to deliver innovative AI solutions.

• Adaptability: Thrive in a fast-paced environment with loosely defined tasks and competing priorities, ensuring timely delivery of high-quality results.

FURIOUS FOX is looking for Embedded Developers with strong coding skills in C & C++ as well as experience with Embedded Linux.

Experience : (Minimum 7-10 yrs)

• Experienced in edge processing for connected building / industrial / consumer

appliances / automotive ECU

• Have a good understanding of IoT platforms and architecture

• Deep experience in operating systems eg: Linux, freeRTOS / kernel development/device drivers.

/ sensor drivers

• Have experience with various low-level communication protocols, memory devices, messaging

framework etc.

• Have a deep understanding of design principles, design patterns, container preparations

• Have developed hardware, OS abstraction layers, and sensor handlers services to manage various BSP, os standards

• Have experience with Python edge packages.

• Have a good understanding about IoT databases for edge computing

• Good understanding of connectivity application protocols and connectivity SDK for Wi-Fi and BT / BLE

• Experienced in arm architecture, peripheral devices and hardware board configurations

• Able to set up debuggers, configure build environments, and compilers and optimize code and performance.

Skills / Tools:

• Expert at object-oriented programming

• Modular programming

• C / C++ / JavaScript / Python

• Eclipse framework

• Target deployment techniques

• IoT framework

• Test framework

Highlights :

• Having AI / ML knowledge in applications

• Have worked on wireless protocols

• Ethernet / Wi-Fi / Bluetooth / BLE

• Highly exploratory attitude

• willing to venture in and learn new

technologies.

• Have done passionate projects based on self-interest.

Skills: Machine Learning,Deep Learning,Artificial Intelligence,python.

Location:Chennai


Domain knowledge: Data cleaning, modelling, analytics, statistics, machine learning, AI

Requirements:

·         To be part of Digital Manufacturing and Industrie 4.0 projects across Saint Gobain group of companies

·         Design and develop AI//ML models to be deployed across SG factories

·         Knowledge on Hadoop, Apache Spark, MapReduce, Scala, Python programming, SQL and NoSQL databases is required

·         Should be strong in statistics, data analysis, data modelling, machine learning techniques and Neural Networks

·         Prior experience in developing AI and ML models is required

·         Experience with data from the Manufacturing Industry would be a plus

Roles and Responsibilities:

·         Develop AI and ML models for the Manufacturing Industry with a focus on Energy, Asset Performance Optimization and Logistics

·         Multitasking, good communication necessary

·         Entrepreneurial attitude.

We are looking for an outstanding ML Architect (Deployments) with expertise in deploying Machine Learning solutions/models into production and scaling them to serve millions of customers. A candidate with an adaptable and productive working style which fits in a fast-moving environment.

Skills:

- 5+ years deploying Machine Learning pipelines in large enterprise production systems.

- Experience developing end to end ML solutions from business hypothesis to deployment / understanding the entirety of the ML development life cycle.
- Expert in modern software development practices; solid experience using source control management (CI/CD).
- Proficient in designing relevant architecture / microservices to fulfil application integration, model monitoring, training / re-training, model management, model deployment, model experimentation/development, alert mechanisms.
- Experience with public cloud platforms (Azure, AWS, GCP).
- Serverless services like lambda, azure functions, and/or cloud functions.
- Orchestration services like data factory, data pipeline, and/or data flow.
- Data science workbench/managed services like azure machine learning, sagemaker, and/or AI platform.
- Data warehouse services like snowflake, redshift, bigquery, azure sql dw, AWS Redshift.
- Distributed computing services like Pyspark, EMR, Databricks.
- Data storage services like cloud storage, S3, blob, S3 Glacier.
- Data visualization tools like Power BI, Tableau, Quicksight, and/or Qlik.
- Proven experience serving up predictive algorithms and analytics through batch and real-time APIs.
- Solid working experience with software engineers, data scientists, product owners, business analysts, project managers, and business stakeholders to design the holistic solution.
- Strong technical acumen around automated testing.
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)
- Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.)
- Experience in developing and debugging in one or more of the languages Java, Python.
- Ability to work in cross functional teams.
- Apply Machine Learning techniques in production including, but not limited to, neuralnets, regression, decision trees, random forests, ensembles, SVM, Bayesian models, K-Means, etc.

Roles and Responsibilities:

Deploying ML models into production, and scaling them to serve millions of customers.

Technical solutioning skills with deep understanding of technical API integrations, AI / Data Science, BigData and public cloud architectures / deployments in a SaaS environment.

Strong stakeholder relationship management skills - able to influence and manage the expectations of senior executives.
Strong networking skills with the ability to build and maintain strong relationships with both business, operations and technology teams internally and externally.

Provide software design and programming support to projects.

 Qualifications & Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Machine Learning Architect (Deployments) or a similar role for 5-7 years.