GenAI Trainee

Larsen & Toubro; Kurla; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Larsen & Toubro is seeking an AI/ML enthusiast to contribute across ML/DL model design, data processing, and deployment in Pune/India. The role spans data collection, preprocessing, model evaluation, and responsible AI practice, with opportunities to work on vision, NLP, and enterprise AI projects.

The position emphasizes collaboration with AI engineers, data scientists, software teams, and business stakeholders, following Agile methods and modern development standards.

Responsibilities

• Assist in collecting, cleansing, preprocessing, and validating structured and unstructured datasets.
• Support the design, development, training, and evaluation of machine learning and deep learning models.
• Perform feature engineering, model tuning, and performance optimization activities.
• Conduct model validation, testing, benchmarking, and documentation.
• Assist in deploying and monitoring AI/ML models in development and production environments.
• Analyze model performance and recommend improvements for accuracy and efficiency.
• Assist in developing applications utilizing Large Language Models (LLMs) and multimodal AI models.
• Support prompt engineering, prompt optimization, and response evaluation activities.
• Participate in Retrieval-Augmented Generation (RAG), fine-tuning, and model customization projects.
• Develop and test AI-powered chatbots, virtual assistants, and content generation solutions.
• Evaluate model outputs for quality, factual accuracy, safety, and compliance with Responsible AI practices.
• Integrate Generative AI capabilities into enterprise applications through APIs and frameworks.
• Assist in developing image and video analytics solutions using computer vision techniques.
• Support implementation of object detection, image classification, segmentation, tracking, and OCR models.
• Work with image and video datasets for annotation, labeling, augmentation, and preprocessing.
• Assist in training and evaluating deep learning models using frameworks such as OpenCV, TensorFlow, PyTorch, and YOLO.
• Support deployment and optimization of vision models for edge devices, cloud platforms, and real-time applications.
• Perform quality assessments and accuracy analysis of computer vision systems.
• Conduct Exploratory Data Analysis (EDA) and generate insights from large datasets.
• Create visualizations, reports, and dashboards to communicate findings effectively.
• Support development of data pipelines and workflows for AI applications.
• Ensure data quality, integrity, and governance standards are maintained.
• Assist in managing and processing image, text, audio, and video datasets.
• Collaborate in building intelligent automation and AI-driven business solutions.
• Integrate AI, Generative AI, and Computer Vision models with web, mobile, and enterprise applications.
• Assist in developing APIs, microservices, and cloud-based AI solutions.
• Participate in software testing, debugging, and troubleshooting activities.
• Follow coding standards, version control, and software development best practices.
• Stay updated on advancements in AI, Machine Learning, Generative AI, Computer Vision, and Deep Learning.
• Conduct proof-of-concept (PoC) development for emerging technologies and use cases.
• Evaluate new AI frameworks, tools, and platforms for potential adoption.
• Contribute innovative ideas for enhancing AI products, services, and operational processes.
• Participate in technical discussions, hackathons, and innovation initiatives.
• Prepare technical documentation, model documentation, and project reports.
• Document datasets, training procedures, model evaluations, and deployment processes.
• Follow Responsible AI, cybersecurity, data privacy, and ethical AI guidelines.
• Ensure compliance with organizational, industry, and regulatory standards.
• Work closely with AI Engineers, Data Scientists, Software Developers, Product Teams, and Business Stakeholders.
• Participate in Agile ceremonies, code reviews, and team meetings.
• Continuously enhance technical knowledge through training, mentoring, and self-learning.
• Demonstrate a proactive attitude toward learning and adopting emerging technologies.

Job description

Roles and Responsibilities

Machine Learning & Artificial Intelligence

• Assist in collecting, cleansing, preprocessing, and validating structured and unstructured datasets.
• Support the design, development, training, and evaluation of machine learning and deep learning models.
• Perform feature engineering, model tuning, and performance optimization activities.
• Conduct model validation, testing, benchmarking, and documentation.
• Assist in deploying and monitoring AI/ML models in development and production environments.
• Analyze model performance and recommend improvements for accuracy and efficiency.

Generative AI Development

• Assist in developing applications utilizing Large Language Models (LLMs) and multimodal AI models.
• Support prompt engineering, prompt optimization, and response evaluation activities.
• Participate in Retrieval-Augmented Generation (RAG), fine-tuning, and model customization projects.
• Develop and test AI-powered chatbots, virtual assistants, and content generation solutions.
• Evaluate model outputs for quality, factual accuracy, safety, and compliance with Responsible AI practices.
• Integrate Generative AI capabilities into enterprise applications through APIs and frameworks.

Computer Vision Engineering

• Assist in developing image and video analytics solutions using computer vision techniques.
• Support implementation of object detection, image classification, segmentation, tracking, and OCR models.
• Work with image and video datasets for annotation, labeling, augmentation, and preprocessing.
• Assist in training and evaluating deep learning models using frameworks such as OpenCV, TensorFlow, PyTorch, and YOLO.
• Support deployment and optimization of vision models for edge devices, cloud platforms, and real-time applications.
• Perform quality assessments and accuracy analysis of computer vision systems.

Data Analytics & Engineering

• Conduct Exploratory Data Analysis (EDA) and generate insights from large datasets.
• Create visualizations, reports, and dashboards to communicate findings effectively.
• Support development of data pipelines and workflows for AI applications.
• Ensure data quality, integrity, and governance standards are maintained.
• Assist in managing and processing image, text, audio, and video datasets.

AI Solution Development & Integration

• Collaborate in building intelligent automation and AI-driven business solutions.
• Integrate AI, Generative AI, and Computer Vision models with web, mobile, and enterprise applications.
• Assist in developing APIs, microservices, and cloud-based AI solutions.
• Participate in software testing, debugging, and troubleshooting activities.
• Follow coding standards, version control, and software development best practices.

Research & Innovation

• Stay updated on advancements in AI, Machine Learning, Generative AI, Computer Vision, and Deep Learning.
• Conduct proof-of-concept (PoC) development for emerging technologies and use cases.
• Evaluate new AI frameworks, tools, and platforms for potential adoption.
• Contribute innovative ideas for enhancing AI products, services, and operational processes.
• Participate in technical discussions, hackathons, and innovation initiatives.

Documentation & Compliance

• Prepare technical documentation, model documentation, and project reports.
• Document datasets, training procedures, model evaluations, and deployment processes.
• Follow Responsible AI, cybersecurity, data privacy, and ethical AI guidelines.
• Ensure compliance with organizational, industry, and regulatory standards.

Collaboration & Learning

• Work closely with AI Engineers, Data Scientists, Software Developers, Product Teams, and Business Stakeholders.
• Participate in Agile ceremonies, code reviews, and team meetings.
• Continuously enhance technical knowledge through training, mentoring, and self-learning.
• Demonstrate a proactive attitude toward learning and adopting emerging technologies.