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 (Master's 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).