Machine Learning Engineer

Responsibilities:

• Develop Python applications and software solutions based on business requirements and technical specifications, with a focus on integrating AI/ML capabilities.
• Write well-designed, efficient, and reusable code adhering to best practices and coding standards.
• Participate in code reviews to ensure adherence to coding standards, maintainability, and scalability.
• Debug and troubleshoot issues in existing software applications, providing timely resolutions.
• Optimize application performance and ensure scalability by implementing efficient algorithms and data structures, especially for AI/ML models.
• Integrate Python applications with databases, APIs, and other third-party services as required, including data pipelines for AI/ML processes.
• Stay updated with the latest industry trends, tools, and technologies related to Python development and AI/ML applications.
• Continuously improve software development processes and practices to enhance productivity and quality.
• Collaborate with cross-functional teams, including product managers, designers, and quality assurance engineers, to ensure timely delivery of high-quality software products.
• Continuously discover, evaluate, and implement new technologies.
• Test products in controlled, real situations before going live, ensuring AI/ML functionalities perform as expected.
• Design, initiate, and handle technical designs and complex application features, integrating AI/ML components.
• Design databases that meet all requirements for data entry and reporting, maintaining integrity and quality, and planning for future needs.
• Understand client requirements and functional specifications, translating them into technical solutions.

Requirements:

• Bachelors degree in Technology (B.Tech/BE) in CS/TI/EC or a related field, or MCA.
• Minimum of 2 years of experience as Python/ML Engineer.
• Strong programming skills, with a focus on Python.
• Proficiency in Python, including a solid understanding of its core principles and libraries.
• Experience in developing and maintaining Python applications using frameworks such as Django, Flask, or Pyramid.
• Familiarity with front-end technologies like HTML, CSS, and JavaScript is desirable.
• Knowledge of relational databases such as MySQL, PostgreSQL, or Oracle.
• Proficiency in software engineering tools and methodologies.
• Experience or interest in AI/ML technologies, including frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Strong verbal and written communication skills.