Data Scientist | 4 to 6 years | Bengaluru

Job Description

Seeking a highly skilled and analytical Data Scientist / Machine Learning Engineer to join our team. The ideal candidate will have a strong foundation in data science, machine learning, and statistical analysis, with hands-on experience in building scalable models and working with large datasets in cloud-based environments.

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Key Responsibilities:

• Design, develop, and deploy machine learning models for real-world applications using Python, scikit-learn, TensorFlow, or PyTorch.
• Perform data cleaning, wrangling, transformation, and exploratory data analysis (EDA) using pandas and other Python libraries.
• Apply statistical techniques such as hypothesis testing, regression analysis, ANOVA, and probability theory to derive insights.
• Implement supervised and unsupervised learning algorithms, conduct feature engineering, model evaluation, and hyperparameter tuning.
• Develop data visualizations using Matplotlib, Seaborn, or ggplot to communicate findings effectively.
• Work with big data technologies such as Apache Hadoop, Apache Spark, or distributed databases for large-scale data processing.
• Write optimized SQL queries and manage relational databases for data extraction and transformation.
• Contribute to data engineering pipelines, including data integration, warehousing, and architecture design.
• Utilize cloud platforms like Microsoft Azure, including Azure Machine Learning, for scalable model deployment.
• Collaborate using version control systems like Git for code management and team coordination.
• (Optional/Desirable) Experience with YOLO or other deep learning models for object detection.

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Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Engineering, or a related field.
• 4–8 years of experience in data science, machine learning, or AI development.
• Strong programming skills in Python and experience with data science libraries.
• Solid understanding of statistical methods, machine learning algorithms, and data modeling.
• Experience with cloud computing, big data tools, and database management.

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Preferred Skills:

• Experience with YOLO, OpenCV, or computer vision frameworks.
• Familiarity with CI/CD pipelines for ML model deployment.
• Knowledge of MLOps practices and tools.

Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications. 1. Applies scientific methods to analyse and solve software engineering problems. 2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance. 3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers. 4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities. 5. The software engineer collaborates and acts as team player with other software engineers and stakeholders.