Senior Data Scientist

Day-to-day Responsibilities:
Designing and Building machine learning systems based on business requirements and objectives.
Research and implement appropriate ML algorithms and tools
Perform exploratory data analysis to identify patterns, trends, and correlations in large datasets.
Solving complex problems and comparing alternative solutions, trade-offs, and diverse points of view to determine a path forward.
Responsible for deploying and managing machine learning models in production and ensure their scalability and efficiency.
Training and testing ML models at scale in the cloud.
Monitor and evaluate model performance, making necessary adjustments to improve accuracy and efficiency.
Stay updated with the latest developments in machine learning and AI to bring innovative solutions to the team.

Skills And Qualifications
5+ years of experience implementing and deploying machine learning and deep learning frameworks.
Strong proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras
Experience in productionizing ML Models
Experience with natural language processing (NLP) algorithm
Experience with containerization technologies (e.g., Docker)
Solid understanding of statistical methods and data analysis
Solid understanding of LLMs, Prompt Engineering, RAG, GraphRAG, Langchain frameworks.
Solid understanding of machine learning algorithms, data structures, and software engineering principles.
Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) and their ML services
Experience with version control systems like Git, Bitbucket etc
Ability to work independently and proactively find solutions to challenges.
Ability to collaborate effectively with team members and stakeholders.