Data Scientist

Tekskills; Hyderabad; On-site; INR 900,000 - 1,350,000; Full time

Job summary

Tekskills is seeking a Data Scientist (AI/ML) with strong Azure experience to design and deliver end-to-end data science solutions. The role emphasizes Databricks, Synapse Analytics, Azure ML, and proficiency in Python and R.

You will build models, validate them with robust statistics, and prepare deployment-ready pipelines in a cloud-centric environment. Candidates should be adept with ML libraries (scikit-learn, TensorFlow, PyTorch) and SQL for data manipulation.

Qualifications

• Experience in end-to-end data science workflows.
• Strong Azure experience with ML services.
• Deployment and monitoring of cloud-based ML models.

Responsibilities

• Build end-to-end data science solutions leveraging Azure tools.
• Deploy, monitor, and scale ML models in cloud environments.
• Ensure security and compliance in data workflows.

Skills

Data Scientist (AI/ML)

Azure

Databricks

Synapse

Azure ML

Tools

Python

R

scikit-learn

pandas

NumPy

TensorFlow

PyTorch

SQL

Job description

Job Description:

Required skills: Data Scientist (AI/ML) + Azure + Databricks + Synapse + Azure ML

The primary skill set is Data Scientist with strong Azure experience,

The candidate should have expertise in the following areas:

Core Expertise

• End-to-end data science workflow: data preparation, feature engineering, model building, validation, and deployment
• Proficiency in descriptive and inferential statistics
• Algorithm development for solving business problems

Azure Cloud Skills

• Hands-on experience with Azure Machine Learning, Databricks, Synapse Analytics, and Data Explorer (KQL)
• Skilled in using Azure Notebooks and integrating Azure services with open-source frameworks

Programming & Tools

• Strong command of Python and R
• Practical experience with libraries like scikit-learn, pandas, NumPy, TensorFlow, and PyTorch
• SQL proficiency for data manipulation and database management

Integration & Deployment

• Ability to integrate Azure tools with popular ML frameworks
• Experience in cloud-based model deployment, monitoring, and scaling

Analytical & Conceptual Strengths

• Advanced analytical thinking and problem-solving
• Experience in exploratory data analysis (EDA)
• Awareness of security and compliance in data science workflows