Data Science / ML Engineer

Key Responsibilities :

• Comprehend business issues :  Propose valuable business solutions using statistical and AI / ML models.
• Model Design :  Design statistical models and machine learning / deep learning models to address complex business challenges.
• Model Deployment :  Develop and deploy ML / DL models into production environments.
• Data Insights :  Formulate available data sources, augment them, and extract valuable insights using SQL and efficient query writing techniques.
• Data Visualization :  Create innovative data visualizations and graphs using tools like d3js, dashplotly, and neo4j.
• Integration :  Ensure seamless integration of AI / ML models into business processes using cloud platforms like AWS or Azure.
• Cross-Functional Collaboration :  Work closely with cross-functional teams, translating business needs into actionable AI solutions.
• Agile Participation :  Participate in agile project delivery, ensuring the timely execution of deliverables.

Required Technical Skills :

Soft Skills :

Good to Have :

Skills Required

Python, Pyspark, Pytorch, Databricks, Keras, Statistical Knowledge, Tensorflow, Artificial Intelligence and Machine Learning, Data Science