Senior Software Engineer

Senior Software Engineer - Data Science

Location : Airoli, Navi Mumbai

Experience : 3-5 Years

Employment Type : Full-time

Job Overview :

We are seeking a Senior Software Engineer - Data Science with 3-5 years of experience to join our team. This role is ideal for a hands-on engineer with a strong background in software development and a passion for applying data science principles to build robust and scalable solutions. You will be responsible for designing, developing, and deploying data-driven applications, working closely with data scientists to productionize machine learning models and analytical tools.

Responsibilities :

Data Pipeline Development: Design, build, and maintain scalable and efficient data pipelines for data ingestion, transformation, and storage, supporting various data science initiatives.

ML Model Productionization: Collaborate closely with data scientists to translate machine learning models from prototypes into production-ready, scalable, and reliable services.

API Development: Develop and maintain robust APIs (RESTful, GraphQL) to expose data science models and insights for consumption by other applications and services.

Software Development: Write clean, efficient, well-tested, and maintainable code primarily in languages like Python, Java, or Scala, adhering to software engineering best practices.

System Architecture: Contribute to the design and architecture of data science platforms and applications, focusing on scalability, performance, and reliability.

Deployment & MLOps: Implement and manage continuous integration/continuous deployment (CI/CD) pipelines for data science solutions, embracing MLOps principles for model versioning, monitoring, and retraining.

Database Management: Work with various database systems (SQL, NoSQL, data warehouses) for data storage, retrieval, and optimization.

Troubleshooting & Optimization: Identify and resolve performance bottlenecks in data pipelines and analytical applications, ensuring optimal resource utilization and system efficiency.

Collaboration: Work cross-functionally with data scientists, product managers, and other engineering teams to understand requirements and deliver high-impact data science products.

Requirements :

Experience :

- 3-5 years of hands-on experience in software development, with a significant focus on data science applications or MLOps.

Programming Languages: Strong proficiency in Python, with experience in developing production-grade code. Familiarity with Java or Scala is a plus.

Data Science Libraries: Hands-on experience with relevant data science and machine learning libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch).

API Development: Experience in designing and developing scalable RESTful APIs.

Databases: Solid understanding and experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra).

Cloud Platforms: Experience with at least one major cloud platform (AWS, Azure, or GCP) and their data/ML services.

Software Engineering Principles: Strong understanding of software engineering best practices, including design patterns, data structures, algorithms, and testing methodologies.

Version Control: Proficiency with Git and standard development workflows.

Problem-Solving: Excellent analytical and problem-solving skills, with a keen eye for detail.

Communication: Strong verbal and written communication skills, with the ability to collaborate effectively in a team environment.