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 recent 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.

📌 GenAI Trainee (Powai)
🏢 Larsen and Toubro
📍 Powai