Job Description

• 4+ years of work experience in writing code in Python
  
• Experience in using various Python libraries like Pandas, NumPy
  
• Experience in writing good quality code in Python and code refactoring techniques (e.g., IDE’s – PyCharm, Visual Studio Code; Libraries – Pylint, pycodestyle, pydocstyle, Black)
  
• Deep understanding of data structures, algorithms, and excellent problem-solving skills
  
• Experience in Python, Exploratory Data Analysis (EDA), Feature Engineering, Data Visualisation
  
• Machine Learning libraries like Scikit-learn, XGBoost
  
• Experience in Time Series.
  
• Experience in building models for ML tasks (Regression, Classification)
  
• Experience of model training and serving on any of the cloud environments (AWS, GCP, Azure)
  
• Experience in distributed training of models on Nvidia GPU’s
  
• Familiarity in Dockerizing the model and create model end points (Rest or gRPC)
  
• Strong working knowledge of source code control tools such as Git, Bitbucket
  
• Prior experience of designing, developing and maintaining Machine Learning solution through its Life Cycle is highly advantageous
  
• Strong drive to learn and master new technologies and techniques
  
• Strong communication and collaboration skills
  
• Good attitude and self-motivated
  
  

Requirements

Relevant Experience: 5 - 15 years
Work Location: Hyderabad
Immediate Joiners/ Serving NP candidates would be considerable

Mandatory Skills :-

• Machine Learning
  
• Coding of Python
  
• Time Series
  
• Building different time series models
  
  

Benefits

• An AI first company – we are an AI first company and help our clients to build products using the latest technologies like ML, DL (CV, NLP) and MLOps
  
• We built an end-to-end AI framework to help our clients to accelerate their journey to launch models ( https://insight.wavelabs.ai )
  
• We work closely with academic experts and research groups to solve some of the niche problems in medical imaging, biopharma, life sciences, law firms, retail and agriculture
  
• Work environment – we have an environment to create an impact on the client business and transform innovative ideas into reality. Even our junior engineers get the opportunity to work on different product features in complex domains
  
• Open communication, flat hierarchy, plenty of individual responsibility