September 12, 2023
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Chennai, Tamil Nadu, India, India
September 12, 2023
Apply NowJob description
Job Description
- Potential candidates should possess a strong analytical mindset and be very comfortable with processing and manipulating large data sets in various formats.
- Familiarity with analytics methods (descriptive/predictive/prescriptive) and tools (Python, Tableau, QlikSense) would be a definite plus.
- Exposure to Cloud technologies (e.g., Google Cloud), including executing Machine Learning algorithms on Cloud would be definite plus.
- Candidates should display interest and initiative in translating a business problem into an analytical problem and determining the appropriate analytical methods to be used.
- Develop machine learning models and implement ML feature delivery as managed services or on device model.
- Collaborate with data engineers to develop data and model pipelines
- Apply machine learning and data science techniques and design distributed systems
- Write production-level code and bring code to production
- Engage in code reviews
- Develop and test the machine learning model
- Design and evaluate approaches for handling large volume of real data streams.
- Improve existing machine learning models
- Develop prototype for future exploration.
- Be in charge of the entire lifecycle (research, design, experimentation, development. deployment, monitoring, and maintenance)
- Produce project outcomes and isolate issues
- Implement machine learning algorithms and libraries
- Communicate complex processes to business leaders
- Analyze large and complex data sets to derive valuable insights
- Research and implement best practices to enhance existing machine learning infrastructure
- MS/ Phd in computer science or relevant work experience 4+
- Strong in any python , java script, Java & C++
- Experience in Sklearn, Tensor flow or Pytorch
- Experience with machine or deep learning methods.
- Exposure to NLP or CV preferrable.
- Experience in Big data processing and Hadoop
- Experience in engineering SaaS based software development
