Opportunity for Data Scientist

Hinduja Tech Limited

Pune District, Maharashtra, IndiaPosted 2 days ago

FulltimeData ScientistMachine LearningComputer VisionDeep LearningLangChainDatabricksPyTorchPythonMLflowDockerGenerative AI

Key highlights

Experience: 5+ Years Total Experience | Minimum 2+ Years Relevant Experience in Computer Vision / Multimodal AI
Strong Python programming skills

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Computer Engineering, or a related field.
Experience: 5+ Years Total Experience | Minimum 2+ Years Relevant Experience in Computer Vision / Multimodal AI
Strong understanding of Machine Learning and Deep Learning fundamentals.
Strong understanding of Transformer architectures and attention mechanisms.
Practical knowledge of Large Language Models (LLMs) and Vision Language Models (VLMs).
Hands-on experience fine-tuning deep learning models.
Strong understanding of image processing and computer vision fundamentals.
Experience working with image datasets and visual data pipelines.
Familiarity with OCR, document understanding, object detection, image classification, or related computer vision tasks.
Experience working with Vision Language Models and multimodal systems.
Understanding of model evaluation, benchmarking, and performance optimization techniques.
Experience with parameter-efficient fine-tuning methods such as LoRA, QLoRA, or PEFT.
Strong Python programming skills.
Hands-on experience with PyTorch.
Hands-on experience with Hugging Face Transformers.
Hands-on experience with OpenCV.
Hands-on experience with CUDA/GPU-based training environments

Experience working with engineering drawings, technical drawings, CAD documents, or manufacturing data.
Exposure to vector graphics, PDFs, SVGs, CAD formats, or technical document processing.
Experience with synthetic data generation techniques.
Hands-on experience with Docker.
Hands-on experience with MLflow.
Hands-on experience with Databricks.
Hands-on experience with model deployment workflows.
Experience working with cloud-based AI/ML platforms.
Knowledge of MLOps best practices and experiment management.
Has a strong foundation in Computer Vision and Deep Learning.
Understands how transformer-based multimodal models work.
Is comfortable experimenting with new architectures and research papers.
Can independently analyze datasets and identify opportunities for improvement.
Enjoys solving challenging AI problems using both research and engineering approaches.
Has a passion for building practical AI solutions from cutting-edge research.