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| Job Location | Chennai |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | Management Consulting / Strategy |
| Functional Area | General / Other Software,Sales / BD |
| EmploymentType | Full-time |
Key Responsibilities: Work with our engineering and product teams, translating their requirements and ing the latest machine learning techniques to solve real business problems, improve our platform, and develop new capabilities Participate in interviews and help build a world - class team of engineers Design, build, and train custom models and evaluate model performance Help the team deploy production ready models to customers, to learn from customer feedback and make frequent model improvements Contribute to the overall architecture and implementation of our ML infrastructure, data pipelines, inference engine(s), APIs, and products Collaborate with our engineering and product teams to understand their machine learning related needs and to provide guidance and support where necessary Provide mentoring and technical direction for more junior team members where needed Follow best practices and share them with the team Participate in functional, technical, and code reviews Work in an Agile environment Skill set: Minimum Qualifications 3+ years of hands - on experience working with neural networks and other statistical techniques and successfully delivering and running such systems in production A Masters or Ph.D in Computer Science or related field, concentration in Machine Learning is preferred Hands - on experience with ML infrastructure development and support using cloud computing technologies Fluent in using a neural network framework such as TensorFlow, Caffe, PyTorch, or Theano with understanding of back - propagation and other mathematical concepts employed by modern ML methods Fluent in Python, including experience with packages such as NumPy and pandas Proficient with SQL, notably writing and optimizing queries Preferred Qualifications Experience in data engineering and architecture Experience in ing machine learning for a global - scale enterprise or consumer application Demonstrated knowledge and ability working with AWS, Google Cloud, or other cloud - based solutions to train models, set up data pipelines, and set up inference engines Experience in microservices, Kubernetes, Docker, or other containerizers Working knowledge of Node.js, JavaScript, and related technologies and frameworks Experience with developing ML methods in Jupyter Notebooks environment Experience with developing NLP models, e.g. for chatbots or automated assistants Knowledge of Continuous Integration & Delivery methodologies Excellent problem - solving skills especially debugging of complex software systems Excellent written and verbal communication skills A passion for ing latest technologies into the development of innovative features and products A collaborative attitude and demonstrated team - working ability Self - motivated with a strong passion for learning ,
Keyskills :
cloud computingneural networkscomputer sciencemachine learningdata engineeringagile environmenttechnical directioncommunication skillsverbal communicationcontinuous integration