Associate - Data Science & Engineering (Data & Analytics)

Roles & Responsibilities

• Design and develop analytical, Machine Learning (ML) and Deep Learning (DL) algorithms using Python and R.
• Build and implement Generative AI applications.
• Develop scalable data pipelines for data processing and analytics.
• Build cloud-based data engineering solutions using AWS services.
• Integrate OpenAI and Google Gemini into data engineering workflows.
• Apply statistical and data mining techniques to solve business problems.
• Work with distributed data processing frameworks.
• Develop and deploy AI/ML solutions in production environments.

Eligibility Criteria

• BE / B.Tech / M.Tech graduates.
• Freshers and candidates with 0-2 years of experience.
• Strong knowledge of Python, AWS and Data Engineering.
• Understanding of Machine Learning and statistical techniques.
• Knowledge of cloud platforms and data pipelines.

Required Skills

• Python
• SQL
• R Programming
• AWS Cloud
• Data Engineering
• Generative AI (GenAI)
• Machine Learning (ML)
• Deep Learning (DL)
• OpenAI
• Google Gemini
• Data Pipelines
• Statistical Analysis
• Data Mining
• Linear & Logistic Regression
• Decision Trees
• Bagging & Boosting
• Time Series Analysis
• Distributed Data Processing
• Data Analytics

Mandatory Skills

• Python
• AWS
• Data Engineering