
Machine Learning Engineer
3 weeks ago
- 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:
- Bachelor's 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.
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