As an LLM Engineer, your primary responsibility will be to develop, fine-tune, and deploy large-scale natural language models such as GPT, BERT, and similar transformer-based architectures. You will collaborate closely with data scientists, AI researchers, and software engineers to create cutting-edge language models that drive innovative solutions across various applications like chatbots, summarization, translation, and more. Your key responsibilities will include building and fine-tuning large language models to address specific business challenges, ensuring they meet performance standards. You will also be involved in curating, preprocessing, and augmenting datasets to enhance model training and generalization. Furthermore, deploying and managing LLMs in production environments using tools like Docker, Kubernetes, or cloud platforms will be part of your role. Post-deployment, you will continuously monitor model performance, striving to enhance accuracy, diminish bias, and optimize latency. It is imperative to stay updated with the latest NLP and transformer advancements, implementing state-of-the-art techniques to elevate model efficiency. Collaboration is crucial as you will work closely with cross-functional teams, including data engineers, front-end developers, and product managers, to deliver robust AI solutions. Developing mechanisms to make model outputs comprehensible to non-technical stakeholders is essential. You will also optimize large-scale models for efficient inference and scalability across distributed systems. To excel in this role, you are required to have a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Proficiency in Python, familiarity with libraries like TensorFlow, PyTorch, Hugging Face Transformers, and other NLP frameworks is essential. Hands-on experience with large-scale language models, NLP expertise, and proficiency in cloud environments are crucial. Additionally, strong communication skills, teamwork, and the ability to work in collaborative, fast-paced environments are vital for success. Preferred skills include knowledge of transformer-based models, LLM scaling strategies, contributions to the NLP research community, familiarity with prompt engineering, and an understanding of reinforcement learning techniques for enhancing LLM interaction quality.,
About GITAA: GITAA, an IIT Madras incubated company, is founded by experienced academics from the Indian Institute of Technology, Madras. Our founders bring in a wealth of expertise and knowledge in data science and engineering disciplines. GITAA is a leading provider of edtech solutions, training and technology consulting services. We build custom AI & ML solutions that turn data into business outcomes. Recent work spans retail analytics (SERVQUAL-based customer segmentation on service-request data to drive upsell, cross-sell, and loyalty), engineering analytics in manufacturing (self-supervised anomaly detection under sparse labels to cut scrap and downtime), data audit & governance (DGQI evaluations with IIT Madras to close policy–practice gaps), sports analytics (real-time cricket innings forecasts and dynamic win probabilities), and aviation—including regional carriers like FLY91—(network and revenue optimization across route profitability, demand forecasting, dynamic pricing, on-time performance, and customer segmentation). These are a few of our focus areas; we’re continually expanding into new domains. Job Description: We are looking for Junior Data Scientists who are passionate about mathematics, data science, and Python programming. You will work alongside subject matter experts to create innovative, impactful solutions and contribute to the development of data-driven applications. Candidates with knowledge of data analytics, AI/ML methods, and tools will be given preference. Responsibilities: Conceptualize and develop solutions in core subjects such as linear algebra, statistics, and probability. Design and implement solutions for data science and machine learning problems, Python language and toolboxes. Qualifications: B.Tech, Dual Degree, M.Tech, or Master’s in Engineering, Computer Science or Data Science from a reputed institution, with a minimum CGPA of 7.5. Minimum 1+ years of industry or research experience in data science and machine learning. Required Skills: Strong foundation in statistics, linear algebra, probability, and basic ML algorithms, with excellent analytical skills. Proficiency in Python; experience with IDEs such as PyCharm or VS Code. Hands-on SQL with MySQL and PostgreSQL. Familiarity with Git and GitHub; LLM/GenAI fundamentals: prompting; embeddings/tokenization; using APIs/libraries (e.g., Hugging Face, OpenAI); basics of RAG and evaluation. AI algorithms & foundations beyond the basics: regularization, ensembles, search/optimization heuristics. Reinforcement learning basics: MDPs, bandits, policy/value methods; exposure to Gym or RLlib is a plus. Deployment exposure: simple services/apps with FastAPI/Flask or Streamlit; packaging and virtual environments. Big data & systems: willingness to explore front-end/back-end concepts and big data frameworks (e.g., Spark, Kafka); containers/cloud familiarity (Docker; AWS/Azure/GCP). Excellent communication (oral and written) and interpersonal skills. Strong time management; able to work independently and within teams. What We Offer: A collaborative, intellectually rich environment in Chennai. Opportunities to work on meaningful EdTech innovations. Exposure to real-world AI/ML applications in the education sector. Chance to work alongside IITM professors and domain specialists from the industry Salary: To be determined based on experience and qualifications. Interested candidates may send their resume to: 📧admin@gitaa.in 📧shreenithiya@gitaa.in To know more about us, visit gitaa.in
About GITAA: GITAA, an IIT Madras incubated company, is founded by experienced academics from the Indian Institute of Technology, Madras. Our founders bring in a wealth of expertise and knowledge in data science and engineering disciplines. GITAA is a leading provider of edtech solutions, training and technology consulting services. At GITAA , we design and deliver industry-grade AI/ML programs. Trainers teach using applied cases, hands-on labs, and capstones aligned to real project execution—while collaborating with our consultancy team that ships end-to-end AI/ML solutions. We teach teams at the CAG (Comptroller and Auditor General of India), ministries, and MNCs, and have developed training materials across multiple domains. Delivery formats include online, in-person, workshops, and certified offerings; learners range from corporate cohorts and government officials to students. Job Description: We are looking for a Junior Python and Data Science Trainer with a strong foundation in Python, and a genuine interest in Data Science and Machine Learning. In this role, you will contribute to the development of training content, support the facilitation of training sessions, and assist in coordinating all related training activities. Responsibilities: Conduct engaging training sessions in Python programming, data science, and machine learning topics. Develop training content including case studies, assignments, and assessments. Manage and update content on the LMS platform. Maintain effective communication with students and training stakeholders. Track and report learner progress and feedback to the management team. Stay up to date with developments in the data science domain. Qualifications: M.Sc. in Data Science, or B.E. with a strong foundation in Python and machine learning. Minimum of 1–2 years of experience as a Data Science Trainer (referrals preferred). Required Skills: Proficiency in Python, ML algorithms, and data visualization tools like Tableau or Power BI. Strong foundational in statistics, linear algebra, and ML techniques. Effective verbal and written communication and presentation skills. Good interpersonal skills; ability to connect with students and motivate them. Basic LMS familiarity (publishing content, tracking cohorts) and comfort with version control (Git) is a plus. LLM/GenAI: prompts, embeddings, RAG, fine-tuning/PEFT, evaluation & safety. AI algorithms & foundations beyond the basics: regularization, ensembles, search/optimization heuristics. Willingness to travel and take on new challenges as required. What We Offer: Hands-on opportunities to train learners in Python programming, data science, and machine learning. Opportunity to collaborate with and learn from IITM professors and domain experts in data science and AI. Involvement in curriculum design, content development, and innovative tech-driven learning solutions. Salary: To be determined based on experience and qualifications. Interested candidates may send their resume to: 📧admin@gitaa.in 📧shreenithiya@gitaa.in To know more about us, visit gitaa.in
About GITAA: GITAA, an IIT Madras incubated company, is founded by experienced academics from the Indian Institute of Technology, Madras. Our founders bring in a wealth of expertise and knowledge in data science and engineering disciplines. GITAA is a leading provider of edtech solutions, training and technology consulting services. We build custom AI & ML solutions that turn data into business outcomes. Recent work spans retail analytics (SERVQUAL-based customer segmentation on service-request data to drive upsell, cross-sell, and loyalty), engineering analytics in manufacturing (self-supervised anomaly detection under sparse labels to cut scrap and downtime), data audit & governance (DGQI evaluations with IIT Madras to close policy–practice gaps), sports analytics (real-time cricket innings forecasts and dynamic win probabilities), and aviation—including regional carriers like FLY91—(network and revenue optimization across route profitability, demand forecasting, dynamic pricing, on-time performance, and customer segmentation). These are a few of our focus areas; we’re continually expanding into new domains. Job Description: We are looking for Junior Data Scientists who are passionate about mathematics, data science, and Python programming. You will work alongside subject matter experts to create innovative, impactful solutions and contribute to the development of data-driven applications. Candidates with knowledge of data analytics, AI/ML methods, and tools will be given preference. Responsibilities: Conceptualize and develop solutions in core subjects such as linear algebra, statistics, and probability. Design and implement solutions for data science and machine learning problems, Python language and toolboxes. Qualifications: B.Tech, Dual Degree, M.Tech, or Master’s in Engineering, Computer Science or Data Science from a reputed institution, with a minimum CGPA of 7.5. Minimum 1+ years of industry or research experience in data science and machine learning. Required Skills: Strong foundation in statistics, linear algebra, probability, and basic ML algorithms, with excellent analytical skills. Proficiency in Python; experience with IDEs such as PyCharm or VS Code. Hands-on SQL with MySQL and PostgreSQL. Familiarity with Git and GitHub; LLM/GenAI fundamentals: prompting; embeddings/tokenization; using APIs/libraries (e.g., Hugging Face, OpenAI); basics of RAG and evaluation. AI algorithms & foundations beyond the basics: regularization, ensembles, search/optimization heuristics. Reinforcement learning basics: MDPs, bandits, policy/value methods; exposure to Gym or RLlib is a plus. Deployment exposure: simple services/apps with FastAPI/Flask or Streamlit; packaging and virtual environments. Big data & systems: willingness to explore front-end/back-end concepts and big data frameworks (e.g., Spark, Kafka); containers/cloud familiarity (Docker; AWS/Azure/GCP). Excellent communication (oral and written) and interpersonal skills. Strong time management; able to work independently and within teams. What We Offer: A collaborative, intellectually rich environment in Chennai. Opportunities to work on meaningful EdTech innovations. Exposure to real-world AI/ML applications in the education sector. Chance to work alongside IITM professors and domain specialists from the industry Salary: To be determined based on experience and qualifications. Interested candidates may send their resume to: 📧admin@gitaa.in 📧shreenithiya@gitaa.in To know more about us, visit gitaa.in
About GITAA: GITAA, an IIT Madras incubated company, is founded by experienced academics from the Indian Institute of Technology, Madras. Our founders bring in a wealth of expertise and knowledge in data science and engineering disciplines. GITAA is a leading provider of edtech solutions, training and technology consulting services. We build custom AI & ML solutions that turn data into business outcomes. Recent work spans retail analytics (SERVQUAL-based customer segmentation on service-request data to drive upsell, cross-sell, and loyalty), engineering analytics in manufacturing (self-supervised anomaly detection under sparse labels to cut scrap and downtime), data audit & governance (DGQI evaluations with IIT Madras to close policy–practice gaps), sports analytics (real-time cricket innings forecasts and dynamic win probabilities), and aviation—including regional carriers like FLY91—(network and revenue optimization across route profitability, demand forecasting, dynamic pricing, on-time performance, and customer segmentation). These are a few of our focus areas; we’re continually expanding into new domains. Job Description: We are looking for Senior Data Scientists who are passionate about advanced data science, machine learning, and AI-driven innovations. You will develop data-driven applications, mentor junior team members, and collaborate with subject matter experts to design scalable and impactful solutions. Responsibilities: Design, develop and deploy advanced data science and machine learning models. Provide technical mentorship to junior data scientists. Conceptualize and deliver solutions in core areas such as deep learning, natural language processing (NLP), and advanced statistical modeling. Collaborate with cross-functional teams to translate business needs into data-driven strategies. Drive research and innovation in AI/ML applications for the education and corporate training sector. Ensure best practices in coding, model validation, version control, and reproducibility. MLOps ownership: define the ML platform roadmap and standards (CI/CD, registry, feature store, observability), ensuring alerting, incident response, and rollback are in place. Proven production experience with LLM/GenAI: prompts/embeddings, RAG, PEFT/fine-tuning, evaluation, and safety/guardrails. Qualifications: B.Tech, Dual Degree, M.Tech, or Master’s in Engineering, Computer Science or Data Science from a reputed institution, with a minimum CGPA of 7.5. Minimum 3+ years of industry or research experience in data science and machine learning. Demonstrated expertise in deep learning frameworks (TensorFlow, PyTorch), big data technologies, and scalable ML systems. Required Skills: Strong foundation in advanced statistics, machine learning algorithms, and optimization techniques. Experience with cloud platforms (AWS, GCP, or Azure) and deployment of ML pipelines. Docker/Kubernetes or managed ML. Strong background in NLP, computer vision, or recommender systems. Expertise in Python with IDEs (PyCharm, VS Code) plus proficiency in Git/GitHub and modern team practices (branching, PRs, reviews, CI/CD). Hands-on experience with MySQL and PostgreSQL. Excellent problem-solving and communication skills. AI algorithms & foundations beyond the basics: regularization, ensembles, search/optimization heuristics. Reinforcement learning basics: MDPs, bandits, policy/value methods; exposure to Gym or RLlib is a plus. Big data & systems: willingness to explore front-end/back-end concepts and big data frameworks (e.g., Spark, Kafka); LLM/GenAI: prompts, embeddings, RAG, fine-tuning/PEFT, evaluation & safety. What We Offer: A collaborative, intellectually rich environment in Chennai. Opportunities to cutting-edge EdTech innovations. Exposure to real-world AI/ML applications at scale. Mentorship and collaboration with IITM professors and leading industry specialists. Competitive salary commensurate with experience and qualifications. Interested candidates may send their resume to: 📧admin@gitaa.in 📧shreenithiya@gitaa.in To know more about us, visit gitaa.in
About GITAA: GITAA, an IIT Madras incubated company, is founded by experienced academics from the Indian Institute of Technology, Madras. Our founders bring in a wealth of expertise and knowledge in data science and engineering disciplines. We specialize in helping organizations unlock the power of their data by designing and delivering custom AI and machine learning solutions that drive measurable business outcomes. As a trusted consulting partner, we work at the intersection of deep research and real-world application, bridging the gap between cutting-edge innovation and enterprise-scale deployment. Our solutions empower businesses across a wide range of industries to make smarter decisions, improve operational efficiency, and accelerate growth. Some of our key consulting focus areas include: Retail Analytics : Building intelligent customer segmentation and behavioral models using SERVQUAL data to power upsell, cross-sell, and loyalty programs. Engineering & Manufacturing : Developing self-supervised anomaly detection systems under sparse labels to reduce scrap, downtime, and production losses. Data Governance & Policy : Partnering with IIT Madras on DGQI evaluations to bridge policy–practice gaps and improve data quality governance for large organizations. Sports Analytics : Powering real-time cricket score forecasting engines with dynamic win probabilities and deep contextual insights. Aviation Analytics : Helping regional carriers optimize route networks, forecast demand, improve on-time performance, and maximize revenue. At GITAA, you won’t just build models — you’ll solve complex, high-impact business problems through data. You’ll work closely with clients, translate their challenges into analytical solutions, and see your work deployed in real-world environments where it makes a difference. We are continuously expanding into new domains and pioneering innovative approaches to AI and data science consulting. If you’re passionate about tackling challenging data problems, shaping business strategy through analytics, and working alongside some of the brightest minds in academia and industry, GITAA is the place to be. Job Description: We are seeking a Junior LLM Engineer who is passionate about working with cutting-edge AI technologies, specifically Large Language Models (LLMs) and Generative AI (GenAI). This role will involve developing, optimizing, and deploying LLM-based solutions to solve real-world business challenges. You will work alongside experienced engineers and researchers to push the boundaries of LLM applications. Responsibilities: Work with senior engineers to design, train, and fine-tune LLMs using frameworks like Hugging Face Transformers, PyTorch, and TensorFlow. Assist with the development of generative AI applications, including prompt engineering and working with vector databases for retrieval-augmented generation (RAG). Develop MLOps workflows for deploying and maintaining models in production. Optimize LLM models for performance, latency, and memory usage. Qualifications: B.Tech, Dual Degree, M.Tech, or Master’s in Engineering, Computer Science or Data Science from a reputed institution, with a minimum CGPA of 7.5. Minimum 1.5 years of industry or research experience in data science, machine learning, LLM technologies, Generative AI, or NLP. Required Skills: Python and PyTorch / TensorFlow for model development and fine-tuning. Strong foundation in NLP and transformer-based models such as GPT, BERT, and T5. Experience with prompt engineering and retrieval-augmented generation (RAG) pipeline development. Hands-on experience using LangChain, Hugging Face Transformers, and OpenAI API for LLM applications. Knowledge of vector database integration (e.g., FAISS, Pinecone, Weaviate) for contextual retrieval. Preferred: Basic understanding of API development and deployment using FastAPI or Flask. What We Offer: Location: Chennai Start Date: Immediate A collaborative, intellectually rich environment in Chennai. Opportunities to work on impactful AI/ML applications across multiple sectors, including retail, manufacturing, aviation, and education, with exposure to real-world applications. Chance to work alongside IITM professors and domain specialists from the industry Salary: To be determined based on experience and qualifications. Interested candidates may send their resume to: 📧admin @gitaa.in 📧shreenithiya@gitaa.in To know more about us, visit gitaa.in
About GITAA: GITAA, an IIT Madras incubated company, is founded by experienced academics from the Indian Institute of Technology, Madras. Our founders bring in a wealth of expertise and knowledge in data science and engineering disciplines. We specialize in helping organizations unlock the power of their data by designing and delivering custom AI and machine learning solutions that drive measurable business outcomes. As a trusted consulting partner, we work at the intersection of deep research and real-world application, bridging the gap between cutting-edge innovation and enterprise-scale deployment. Our solutions empower businesses across a wide range of industries to make smarter decisions, improve operational efficiency, and accelerate growth. Some of our key consulting focus areas include: Retail Analytics : Building intelligent customer segmentation and behavioral models using SERVQUAL data to power upsell, cross-sell, and loyalty programs. Engineering & Manufacturing : Developing self-supervised anomaly detection systems under sparse labels to reduce scrap, downtime, and production losses. Data Governance & Policy : Partnering with IIT Madras on DGQI evaluations to bridge policy–practice gaps and improve data quality governance for large organizations. Sports Analytics : Powering real-time cricket score forecasting engines with dynamic win probabilities and deep contextual insights. Aviation Analytics : Helping regional carriers optimize route networks, forecast demand, improve on-time performance, and maximize revenue. At GITAA, you won’t just build models — you’ll solve complex, high-impact business problems through data. You’ll work closely with clients, translate their challenges into analytical solutions, and see your work deployed in real-world environments where it makes a difference. We are continuously expanding into new domains and pioneering innovative approaches to AI and data science consulting. If you’re passionate about tackling challenging data problems, shaping business strategy through analytics, and working alongside some of the brightest minds in academia and industry, GITAA is the place to be. Job Description: We’re looking for a Junior Machine Learning Engineer who is passionate about solving real-world problems with data, eager to learn from top minds in the field, and ready to grow into a high-impact data science consultant. In this role, you’ll work closely with senior data scientists to design, develop, and deploy data-driven solutions that deliver measurable business outcomes. Responsibilities: Work with senior data scientists to solve real-world problems using data and machine learning. Help build and maintain data pipelines for collecting, cleaning, and preparing data. Assist in developing, training, and testing ML models for tasks like NLP, computer vision, or forecasting. Support model deployment using tools like FastAPI or Flask and learn about MLOps workflows (CI/CD, containerization, model tracking). Collaborate with teams to share results, document work, and deliver solutions that meet business goals. Qualifications: B.Tech, Dual Degree, M.Tech, or Master’s in Engineering, Computer Science or Data Science from a reputed institution, with a minimum CGPA of 7.5. Minimum 1.5 years of industry or research experience in data science and machine learning. Required Skills: Python with ML libraries such as scikit-learn, TensorFlow, and PyTorch. Experience in data preprocessing, feature engineering, model training, and evaluation. Understanding of end-to-end ML pipelines, CI/CD workflows, and MLOps practices. Proficient in working with SQL / NoSQL databases for data storage and retrieval. Preferred: Familiarity with cloud platforms (AWS / GCP / Azure) and containerization tools (Docker, Kubernetes). Experience in API development for model integration using FastAPI or Flask. What We Offer: Location: Chennai Start Date: Immediate A collaborative, intellectually rich environment in Chennai. Opportunities to work on impactful AI/ML applications across multiple sectors, including retail, manufacturing, aviation, and education, with exposure to real-world applications. Chance to work alongside IITM professors and domain specialists from the industry Salary: To be determined based on experience and qualifications. Interested candidates may send their resume to: 📧admin@gitaa.in 📧shreenithiya@gitaa.in To know more about us, visit gitaa.in