As a Data Scientist, you will design and implement machine learning models and advanced analytics solutions to solve complex business problems. You will work with large-scale data, build predictive models, and collaborate with engineering and product teams to deploy data-driven solutions. You will also lead initiatives in computer vision and deploy models using AWS services.

Key Responsibilities :

- Develop and deploy machine learning models for classification, regression, clustering, and recommendation systems.

- Design and implement computer vision solutions using CNNs, object detection, and image segmentation techniques.

- Deploy machine learning models using AWS services such as SageMaker, Lambda, S3, and API Gateway.

- Perform feature engineering, model selection, and hyper parameter tuning.

- Analyse experimental results and iterate on model improvements. Collaborate with data engineers to ensure data pipelines are robust and scalable.

- Communicate technical findings to non-technical stakeholders. Stay updated with the latest research and trends in data science and AI.

Required Skills & Qualifications :

- Masters or PhD in Computer Science, Statistics, Mathematics, or a related field.

- Strong programming skills in Python (pandas, scikit-learn, TensorFlow, PyTorch).

- Solid understanding of machine learning algorithms and statistical modeling.

- Hands-on experience with computer vision libraries such as OpenCV, TensorFlow, or PyTorch.

- Experience deploying models on AWS using services like SageMaker, Lambda, and S3.

- Familiarity with big data tools (e.g., Spark, Hadoop) and cloud platforms.

- Proficiency in SQL and data wrangling. Strong communication and collaboration skills.