Machine Learning Engineer
3 weeks ago
Charles Technologies is a dynamic startup based in Chennai, dedicated to creating innovative mobile applications that transform user experiences. We are seeking a talented and experienced Machine Learning Engineer to join our team and contribute to the development of advanced machine learning solutions that enhance our mobile applications.
Key Responsibilities:- Design, develop, and implement machine learning models to solve business problems and enhance mobile applications.
- Manage and optimize data storage and retrieval processes, ensuring data quality and integrity.
- Work closely with data scientists, mobile application developers, product owners, and other stakeholders to understand requirements and deliver machine learning solutions.
- Optimize machine learning models for performance and scalability, including profiling and debugging.
- Document machine learning processes, models, and analysis results, ensuring transparency and reproducibility.
- Bachelor of Engineering in Computer Science, Data Science, AI, or Machine Learning. A Master's degree or relevant certifications are a plus.
- 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.
- Strong understanding of machine learning algorithms, software engineering, statistical analysis, and data mining techniques.
- Proficiency in Python and JavaScript for developing machine learning models and integrating them with applications.
- Experience with libraries and frameworks such as Pandas, Scikit-learn, and XGBoost. Experience with Tensorflow.js is a plus.
- Central Location: Conveniently located in the heart of the city, with parking facilities and well-served by public transport.
- 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.
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