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 qualified 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).


📌 Senior Data Scientist (Thoraipakkam)
🏢 Important Business
📍 Thoraipakkam