Senior Data Scientist

Responsibilities :

• Demonstrated expertise with 3-5 years of hands-on experience in AI / ML, NLP, Python, and cloud platforms such as AWS / Azure / GCP.
• Proven proficiency in advanced technologies including Computer Vision, Machine Vision, Speech Recognition, and Docker.
• Actively drive the ideation, research, and development of sophisticated machine learning models for media content analysis, employing cutting-edge techniques such as natural language processing, computer vision, speech recognition, and deep learning.
• Follow MLOps principles to ensure scalability, repeatability, and automation in the end-to-end machine learning lifecycle.
• Exhibit agility by rapidly prototyping solutions and building models to assess the feasibility of various solution approaches.
• Develop robust, scalable, and production-grade data pipelines and machine learning models to address key business problems, regardless of the volume or diversity of data sets.
• Construct scalable AI / ML solutions, tailored to specific requirements, spanning NLP, Computer / Machine Vision, Speech Recognition, Clustering, Segmentation, and Deep Learning.
• Optimize models for performance, taking into consideration real-world constraints and requirements.
• Write reusable code following best software engineering practices, accommodating common design patterns and Object-Oriented Programming (OOPs) principles.
• Follow coding standards, documentation practices, and model version control within the team.
• Work closely with cross-functional teams, including engineering, product management, and content creation, to gather requirements and deliver impactful, technically sound solutions.

Must Have Skills :

Skills Required

Data Science, Text Analytics, Nlp, Machine Learning, Pytorch, Python, Tensorflow