Data Scientist

Machine Learning Engineer / Data Scientist

Location: Bangalore / Gurgaon

Experience: 2+ Years

Contract Duration: 12 Months

Employment Type: Contract

Work Mode: Hybrid

Job Summary

We are looking for a Machine Learning Engineer / Data Scientist with hands-on experience in applying machine learning and data mining techniques to real-world problems involving large and complex datasets.

The ideal candidate should have strong Python, SQL, machine learning, and statistical modeling skills, with exposure to big data technologies and cloud platforms.

Key Responsibilities

• Develop and apply machine learning and data mining techniques to solve complex business problems.
• Analyze large and complex datasets to identify patterns, insights, and opportunities.
• Build and prototype statistical analysis and machine learning models.
• Develop data-driven solutions for new and complex business domains.
• Work with Python and the Python Data Science/PyData stack for data analysis and modeling.
• Build scalable data processing solutions using technologies such as PySpark, Databricks, Hadoop, or Hive.
• Support deployment of machine learning solutions into business environments.
• Work with data engineering and software engineering teams to productionize ML solutions.
• Develop data pipelines and workflows using tools such as Airflow and Kedro.
• Work with cloud platforms such as AWS, Azure, or GCP.
• Apply appropriate statistical and machine learning techniques based on the business problem.

Must-Have Skills

• 2+ years of professional experience in Machine Learning / Data Science.
• Strong programming skills in Python and SQL.
• Strong understanding of Machine Learning and Statistical Modeling.
• Experience working with large/complex datasets.
• Experience with the Python Data Science / PyData stack.
• Ability to prototype and implement ML/statistical algorithms.
• Strong analytical and problem-solving skills.

Good to Have

• PySpark / Spark
• Databricks
• Hadoop / Hive
• Airflow / Kedro
• Dask / RAPIDS
• Docker / Kubernetes
• AWS / Azure / GCP
• R / SPSS / SAS
• Software engineering experience
• Experience deploying ML solutions into production/business environments.

• Education
• Bachelor's, Master's, or PhD in Computer Science, Machine Learning, Statistics, Mathematics, Engineering, Artificial Intelligence, or a related discipline.
• Contract Details

Contract Duration: 12 Months

Locations: Bangalore / Gurgaon

Work Mode: Hybrid

Experience: 2+ Years

Interested candidates can share their updated resume highlighting their Machine Learning, Python, SQL, and Data Science experience..