Senior Data Scientist

Join our team as a Senior Data Scientist specializing in Computer Vision, where you will lead the design, development, and deployment of cutting-edge vision-based machine learning models. In this role, you will tackle complex real-world business challenges by building scalable AI solutions. We are looking for an expert with a deep understanding of image and video processing who can seamlessly bridge the gap between technical innovation and business impact.

Key Responsibilities:

• Develop and deploy sophisticated computer vision models for tasks including object detection, image classification, segmentation, OCR, and real-time video analytics.
  
• Design, train, and evaluate robust supervised and unsupervised models for classification, regression, and clustering tasks.
  
• Conduct rigorous cross-validation and statistical significance testing to validate model robustness.
  
• Manage large-scale datasets by overseeing collection, annotation strategies, cleaning, and data augmentation to ensure high-quality model training.
  
• Build scalable NLP solutions including Named Entity Recognition (NER), sentiment analysis, text classification, and semantic search.
  
• Deploy, fine-tune, and align LLMs using advanced parameter- efficient methods (LoRA, QLoRA) and instructional datasets.
  
• Implement state-of-the-art neural forecasting and traditional statistical methods (ARIMA/ETS) to capture trend, seasonality, and exogenous variables.
  
• Architect autonomous and semi-autonomous multi-agent systems capable of task planning, tool usage, and reflection.
  
• Architect and optimize deep learning frameworks such as CNNs, Vision Transformers, GANs, and YOLO for production-ready environments.
  
• Formulate and solve complex real-world operations research challenges using Linear Programming (LP), Mixed-Integer Linear Programming (MILP), and meta-heuristics.
  
• Collaborate with cross-functional engineering, product, and MLOps teams to integrate vision models into end-to-end production pipelines.
  
• Enhance model performance and scalability through quantization, pruning, and conversion for edge deployment using ONNX or TensorRT.
  
• Execute rigorous experiments and statistical analyses, including A/B testing, to validate model accuracy and assess business outcomes.
  
• Keep abreast of state-of-the-art research in computer vision and deep learning to identify and implement innovative solutions for business problems.
  
• Mentor junior scientists and establish best practices for robust model development, evaluation, and documentation.
  
• Partner with data engineering to build high-performance, scalable data pipelines tailored for vision workloads.
  

Required Skills & Qualifications

• 7+ years of professional experience in Machine Learning with a specialization in Computer Vision.
  
• Advanced degree (Masters or Ph.D. preferred) in Computer Science, Electrical Engineering, or a related quantitative field.
  
• Expert proficiency in Python and frameworks like Scikit-Learn, Caret, TidyModels, PyTorch, TensorFlow, or Keras.
  
• Hands-on experience with CV libraries such as OpenCV, YOLO, Detectron2, and MMDetection.
  
• Strong background in CNNs, Vision Transformers (ViT), and image preprocessing techniques.
  
• Proven experience deploying models via Docker, Kubernetes, FastAPI, ONNX, and TensorRT.
  
• Skilled in cloud AI/ML services across AWS, GCP, or Azure (e.g., SageMaker, Vertex AI).
  
• Deep knowledge of data structures, algorithms, and software engineering best practices.
  
• Experience managing large datasets with SQL, Spark, Pandas, or Dask.
  
• History of taking ML models from research/prototypes into scalable production environments.
  
• Excellent communication, problem-solving, and cross-functional collaboration skills.
  
• Familiarity with MLOps, CI/CD pipelines, and edge AI hardware (NVIDIA Jetson, mobile inference).