ML Engineer- AWS @ Xenonstack

• Lively/purposeful work culture and people oriented organization
• Exposure to working on enterprise national and international $million projects
• Complete job and employee security
• Warm, authentic and transparent communication
• Time to time jon feedback and exposure to different technologies
• Appreciation and rewards on performance achievements.
  

Key Responsibilities -

• Study and transform data science prototypes
• Design machine learning systems
• Research and implement appropriate ML algorithms and tools
• Develop machine learning applications according to requirements
• Select relevant datasets and data representation methods
• Run machine learning tests and experiments
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Keep abreast of developments in the field
• Perform statistical analysis and fine-tuning using test results
  

Technical Requirements -

• Knowledge in Machine Learning Engineer or similar role
• Understanding of data structures, data modeling, and software architecture
• Deep knowledge of maths, probability, statistics, and algorithms
• Ability to write robust code in Python, Java, and R
• Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
  

Professional Attributes

• Excellent communication skills
• Attention to detail
• Analytical mind and Problem Solving Aptitude
• Strong Organizational skills
• Visual Thinking
  

Education: Technical Graduates (BCA, BSC, B. Tech), MCA, MSC, and M.Tech with strong data structure and algorithm Skills

Experience: 1- 2 years