Machine Learning Engineer Job in Scano

Job Title: Machine Learning Engineer

Location: Pune

Employment Type: Full-Time

About the Role:

We are seeking a Machine Learning Engineer with 1-3 years of hands-on experience to join our team. The ideal candidate will have proficiency in Python programming and a solid understanding of machine learning frameworks. You will work on building and deploying cutting-edge machine learning models and solutions, with a particular focus on computer vision and ML-Ops.

Key Responsibilities:

• Develop Machine Learning Models: Build, train, and deploy machine learning models for various business applications.
• Computer Vision Solutions: Focus on building and deploying computer vision solutions at scale, leveraging frameworks like TensorFlow and OpenCV.
• Collaborate with Teams: Work with data scientists, software engineers, and other stakeholders to integrate machine learning solutions into products.
• Code Quality & Documentation: Write clean, maintainable, and readable code. Document your code and solutions for ease of understanding and future reference.
• Work with Data Pipelines: Understand and implement data pipelines for training machine learning models, ensuring data is pre-processed and transformed correctly.
• Version Control & Best Practices: Use Git and follow version control best practices to ensure collaboration and code integrity across the team.
• Machine Learning Frameworks: Implement machine learning algorithms using frameworks like TensorFlow, Keras, OpenCV, and other relevant libraries.
• ML-Ops: Familiarity with deploying machine learning models into production environments and managing their lifecycle.

Minimum Qualifications:

• Experience: 1-3 years of experience as a Machine Learning Engineer or Data Scientist.
• Agile Development: Familiarity with the Agile development lifecycle and collaborative software development practices.
• Code Readability & Documentation: Ability to write clean, readable code and document your work thoroughly for future use and team collaboration.
• Third-Party Libraries & APIs: Experience in consuming third-party libraries and APIs to extend the functionality of your machine learning solutions.
• Version Control: Experience with Git and version control best practices.
• Data Pipelines: Understanding of data pipelines and how to handle data preprocessing, cleaning, and transformation for machine learning purposes.
• Core Python: Proficiency in Python programming and popular data science libraries (e.g., NumPy, Pandas, etc.).
• Machine Learning Frameworks: Knowledge of machine learning frameworks like TensorFlow and OpenCV.

Preferred Qualifications:

• ETL Tools: Experience working with ETL (Extract, Transform, Load) tools and libraries to manage and preprocess data for machine learning.
• Computer Vision: Hands-on experience with computer vision tasks, especially with MaskRCNN for object detection and segmentation.
• ML-Ops: Knowledge of ML-Ops practices for deploying, monitoring, and maintaining machine learning models in production environments.

Why Join Us?

• Work on cutting-edge machine learning and computer vision projects.
• Collaborate with a talented, cross-functional team to solve real-world problems.
• Opportunity to grow your career in a dynamic and innovation-driven environment.
• Competitive compensation and benefits package.

If you're passionate about machine learning, computer vision, and deploying scalable solutions, we'd love to have you on our team!