Hiring For Data scientist

Glauben Technologies; Pune District, Chennai District, Bengaluru; Hybrid; INR 1,500,000 - 2,300,000; Full time

Job summary

Glauben Technologies is seeking an experienced Data Scientist to join our team for large-scale AI and analytics projects across enterprise clients. The role focuses on developing data-driven solutions, building predictive models, and deploying end-to-end ML pipelines.

You will work with Python, SQL, Spark, and cloud platforms to solve complex business problems while collaborating with engineers, analysts, and stakeholders. This position offers hybrid/on-site work based on project requirements.

Qualifications

• 5–20 years of experience in Data Science, Machine Learning, AI, or Advanced Analytics.
• Strong programming experience in Python.
• Strong knowledge of ML algorithms and statistical modelling.
• Hands-on experience with Pandas, NumPy, Scikit-learn, TensorFlow / PyTorch.
• SQL and PySpark / Apache Spark.
• Experience with large-scale datasets and data visualization tools.
• Knowledge of ML lifecycle and model deployment.
• Cloud platforms such as AWS/Azure/GCP.

Responsibilities

• Design, develop, and deploy ML models for real-world business problems.
• Perform data exploration, data cleaning, feature engineering, and statistical analysis.
• Build and optimize predictive, classification, regression, clustering, and recommendation models.
• Work with structured and unstructured datasets and identify meaningful business insights.
• Develop end-to-end ML pipelines from data preparation to model deployment.
• Apply Python, SQL, Pandas, NumPy, Scikit-learn, TensorFlow, and/or PyTorch for data science solutions.
• Collaborate with Data Engineers, ML Engineers, Business Analysts, Architects, and stakeholders.
• Contribute to Generative AI, NLP, Computer Vision, LLM, and Agentic AI initiatives where applicable.
• Deploy models using AWS, Azure, or Google Cloud and follow MLOps best practices.

Skills

Python

ML algorithms

Statistical modelling

Data preprocessing

Model deployment

Education

Bachelor's/Master's in CS/DS/Stats/Math/Engineering

Tools

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

SQL

PySpark

Spark

Databricks

Docker

Kubernetes

MLflow

LangChain

LlamaIndex

Job description

Role & responsibilities

Data Scientist Infosys

Experience: 5–20 Years
Location: PAN India
Employment Type: Full-Time
Work Mode: Hybrid / On-site, based on project requirements

Job Description

We are looking for experienced Data Scientists to join our team and work on large-scale AI, Machine Learning, and advanced analytics projects for enterprise clients. The role involves developing data-driven solutions, building predictive models, applying statistical techniques, and leveraging modern AI/ML technologies to solve complex business problems.

Key Responsibilities

• Design, develop, and deploy Machine Learning and Data Science models for real-world business problems.
• Perform data exploration, data cleaning, feature engineering, and statistical analysis.
• Build and optimize predictive, classification, regression, clustering, and recommendation models.
• Work with structured and unstructured datasets and identify meaningful business insights.
• Develop and implement end-to-end ML pipelines from data preparation to model deployment.
• Apply Python, SQL, Pandas, NumPy, Scikit-learn, TensorFlow, and/or PyTorch for data science solutions.
• Work with large datasets using Spark/PySpark and cloud-based data platforms.
• Evaluate model performance using appropriate metrics and continuously improve model accuracy and scalability.
• Collaborate with Data Engineers, ML Engineers, Business Analysts, Architects, and stakeholders.
• Contribute to Generative AI, NLP, Computer Vision, LLM, and Agentic AI initiatives where applicable.
• Deploy models using AWS, Azure, or Google Cloud and follow MLOps best practices.
• Communicate technical findings and model outcomes effectively to technical and business stakeholders.

Required Skills

• 5–20 years of experience in Data Science, Machine Learning, AI, or Advanced Analytics.
• Strong programming experience in Python.
• Strong knowledge of Machine Learning algorithms and statistical modelling.
• Hands‑on experience with:
• Pandas
• NumPy
• Scikit-learn
• TensorFlow / PyTorch
• SQL
• PySpark / Apache Spark
• Strong understanding of data preprocessing, feature engineering, model validation, and optimization.
• Experience working with large-scale datasets and data visualization tools.
• Knowledge of ML lifecycle and model deployment.
• Good understanding of cloud platforms such as AWS / Azure / GCP.
• Strong analytical, problem-solving, and communication skills.

Preferred / Good-to-Have Skills

• Generative AI and LLMs
• RAG and Vector Databases
• NLP / Computer Vision
• Deep Learning
• Time-Series Forecasting
• Recommendation Systems
• Reinforcement Learning
• MLOps / MLflow
• Docker / Kubernetes
• Databricks
• Azure ML / AWS SageMaker / Google Vertex AI
• LangChain / LlamaIndex
• Experience with enterprise-scale AI solutions

Education

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
• Relevant industry experience and strong hands‑on technical expertise will also be considered.

Candidate Profile

We are looking for professionals who can independently handle end-to-end Data Science projects, from understanding business requirements and data analysis through model development, validation, deployment, and monitoring.

Location: PAN India
Experience: 5–20 Years
Skills: Data Science | Machine Learning | Python | SQL | PySpark | AI/ML | Deep Learning | Gen AI | NLP | Cloud | MLOps