Machine Learning Engineer

3 weeks ago


Flower Bazaar, India Charles Technologies Full time
Job Title: Machine Learning Engineer

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.
Requirements:
  • 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.
Perks and Benefits:
  • 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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