Machine Learning Engineer
1 month ago
Qualifications:
- Education: Bachelor of Engineering in Computer Science, Data Science, AI or Machine Learning. A Master’s degree or relevant certifications are a plus.- Experience: Minimum of 3 years of experience in machine learning engineering or a related field. Experience working in an Agile Product Development environment is a plus.- Foundational Knowledge: Strong understanding of machine learning algorithms, software engineering, statistical analysis, and data mining techniques. Knowledge of product development and mobile application development is a plus.
Technical Skills:
- Programming Languages: Proficiency in Python and JavaScript for developing machine learning models and integrating them with applications.- Machine Learning Frameworks: Experience with libraries and frameworks such as Pandas, Scikit-learn and XGBoost. Experience with Tensorflow.js is a plus. Proficiency in Azure Machine Learning Services.- Data Visualization: Proficiency in JavaScript libraries like Plotly.js and D3.js for visualizing model outputs and data insights.- SQL and Azure Cosmos DB: Strong knowledge of SQL for data querying and manipulation. Proficiency in Azure Cosmos DB for scalable and efficient data management.- Cloud Services: Experience with Azure for deploying machine learning models and solutions.- Azure DevOps: Proficiency in Azure DevOps, including Repos, Pipelines, and Kanban boards.- Version Control: Proficient in version control systems like Git.- API Integration: Experience in integrating machine learning models with RESTful APIs and third-party services.
Responsibilities:
- Model Development: Design, develop, and implement machine learning models to solve business problems and enhance mobile applications.- Data Management: Manage and optimize data storage and retrieval processes, ensuring data quality and integrity.- Collaboration: Work closely with data scientists, mobile application developers, product owners, and other stakeholders to understand requirements and deliver machine learning solutions.- Performance Optimization: Optimize machine learning models for performance and scalability, including profiling and debugging.- Visualization: Create and maintain dashboards and reports to visualize model outputs and track key performance indicators.- Documentation: Document machine learning processes, models, and analysis results, ensuring transparency and reproducibility.- Continuous Improvement: Stay updated with the latest industry trends and technologies in machine learning and continuously improve development practices.- Testing and Validation: Conduct thorough testing and validation of machine learning models to ensure accuracy and reliability.- Peer Reviews: Participate in peer reviews of machine learning models and code to ensure quality and share best practices.
Perks & Benefits:
- Central Location: Conveniently located in the heart of the city, with parking facilities and well-served by public transport including buses and Chennai Metro.- Meals and Refreshments: Lunch, tea/coffee, snacks, and refreshments provided throughout the day.- Insurance: TATA AIG Family Group Insurance for INR 5.0 Lakhs (Coverage: Self + Spouse + Up to 3 Children).- Professional Development: Opportunities for continuous learning and growth.- Team Outings and Events: Regular team-building activities and events.- Employee Recognition: Programs to acknowledge and reward outstanding performance.
How to Apply: Interested candidates can apply through LinkedIn or email us at Join us at Charles Technologies and be a part of a team that’s shaping the future of mobile applications
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