Data Scientist-in Python, Nifi, Airflow, SQL,pandas, numpy, scikit-learn, TensorFlow, PyTorch,MLOps ,AWS,Databricks

Major Responsibilities

Lead the end-to-end lifecycle of Machine Learning (ML) and AI projects, frombusiness problem definition, data exploration, feature engineering, modeltraining, validation to deployment and performance monitoring.

Develop and implement ML, AI or optimization models to address a range ofbusiness and operational challenges, such as improving performance, forecastingdemand, optimizing resource utilization, enhancing reliability, or supportingbetter customer outcomes.

Collaborate with data and software engineers to deploy ML/AI models in bothair-gapped and cloud production environments.

Drive experimentation and continuous learning using AI techniques such astime-series forecasting, anomaly detection, Computer Vision and NaturalLanguage.

Present data-driven insights and recommendations in actionable business terms to business users.

Job Specifications

Bachelors or Masters Degree in computer science, computer engineering, statistics, data analytics, applied mathematics or a relevant field.

At least 8 years relevant data science experience, including 2 or more years ina lead or senior technical role.

Proficiency in Python, Nifi, Airflow, SQL, libraries such as pandas, numpy,scikit-learn, TensorFlow, PyTorch, and MLOps tools such as Databricks,Snowflake, AWS Sagemaker.

Proficiency in Data Visualization tools like Power BI, Qlik and Tableau