Data Scientist (Machine Learni ...

Best Course News; Pune District; On-site; INR 50,000 - 90,000; Full time

Job summary

A leading technology consulting firm in Pune seeks a skilled Data Scientist (Machine Learning) to design and deploy scalable ML solutions. The ideal candidate will leverage strong Python expertise and AWS tools to address business challenges with data-driven strategies. Responsibilities include developing machine learning models, managing ML workflows, and collaborating with teams to communicate insights effectively. A Bachelor's or Master's degree is required, along with 1-6 years of related experience.

Qualifications

• 1–6 years of hands-on experience in Data Science and Machine Learning.
• Strong proficiency in Python, including Object-Oriented Programming (OOP).
• Practical experience with machine learning algorithms and predictive modeling.

Responsibilities

• Design, develop, and deploy machine learning models using Python.
• Apply ML techniques such as forecasting, clustering, regression, and optimization.
• Build and manage data pipelines and ML workflows using Airflow.

Skills

Python (Advanced)

Machine Learning

Deep Learning

NLP (Preferred)

MLOps

SQL

Education

Bachelor’s or Master’s degree in any discipline

Tools

Azure Cloud

Databricks

MLflow

Docker

Apache Airflow

Spark

Job description

#### Data Scientist (Machine Learning)##### S3B Global Technologies LLP* Pune#### DescriptionAbout S3B Global Technologies LLPS3B Global Technologies is a cutting-edge technology consulting and digital transformation company. The organization specializes in delivering bespoke IT solutions and end-to-end digital transformation services for enterprise clients across industries. With a strong focus on innovation, scalability, and modern cloud technologies, S3B Global helps businesses drive efficiency and long-term value through data-driven solutions.Job SummaryS3B Global Technologies is seeking a highly skilled Data Scientist (ML) with strong Python expertise and hands-on experience in machine learning and MLOps. The ideal candidate will work on designing, developing, and deploying scalable ML solutions using modern cloud platforms and automation tools. This role requires strong analytical thinking, problem-solving ability, and effective communication skills.Key ResponsibilitiesDesign, develop, and deploy machine learning models using PythonApply ML techniques such as forecasting, clustering, regression, classification, and optimizationDevelop clean, modular, and scalable code using advanced Python and OOP principlesBuild and manage data pipelines and ML workflows using AirflowImplement and maintain MLOps practices, including model tracking, monitoring, and deploymentWork with Azure cloud services, Databricks, Spark, and MLflowContainerize ML applications using Docker for scalable deploymentCollaborate with cross-functional teams to translate business problems into ML solutionsUse Git for version control and collaborative developmentEnsure high-quality documentation and reproducibility of models and workflowsCommunicate technical insights effectively to both technical and non-technical stakeholdersRequired QualificationsBachelor’s or Master’s degree in any discipline (UG/PG)1–6 years of hands-on experience in Data Science and Machine LearningStrong proficiency in Python, including Object-Oriented Programming (OOP)Practical experience with machine learning algorithms and predictive modelingExposure to Natural Language Processing (NLP) and Deep Learning conceptsExperience with Azure cloud platform and DatabricksHands-on knowledge of MLflow for experiment tracking and model lifecycle managementExperience with Apache Airflow for workflow orchestrationKnowledge of Docker and containerization conceptsExperience using SQL and big data frameworks such as SparkFamiliarity with Git and version control best practicesKey Skills & CompetenciesPython (Advanced) & OOPMachine Learning & Artificial IntelligenceForecasting, Clustering, Regression, ClassificationDeep Learning & Neural NetworksNLP (Preferred)Azure Cloud, Databricks, SparkMLOps, MLflow, DockerApache AirflowSQL & Data Engineering BasicsStrong Problem-Solving SkillsExcellent Communication & Presentation Skills#### Role and Responsibilities* Key Responsibilities Design, develop, and deploy machine learning models using Python Apply ML techniques such as forecasting, clustering, regression, classification, and optimization Develop clean, modular, and scalable code using advanced Python and OOP principles Build and manage data pipelines and ML workflows using Airflow Implement and maintain MLOps practices, including model tracking, monitoring, and deployment Work with Azure cloud services, Databricks, Spark, and MLflow Containerize ML applications using Docker for scalable deployment Collaborate with cross-functional teams to translate business problems into ML solutions Use Git for version control and collaborative development Ensure high-quality documentation and reproducibility of models and workflows Communicate technical insights effectively to both technical and non-technical stakeholders| Designation | : | Data Scientist (Machine Learning) || Work experience | : | 0 - 1 |### Skills: