Project Leader

Position Summary

To be a driven business analyst who can work on complex Analytical problems and help the customer in better business decision making especially in the area of Pharma (domain).

Job Responsibilities

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  • Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (AWS, MS Azure or GCP)
  
  
  • Experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc., experience with Docker and Kubernetes, OpenShift.
  
  
  • Programming languages like Python, Go, Ruby or Bash, good understanding of Linux, knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc.
  
  
  • Ability to understand tools used by data scientist and experience with software development and test automation.
  
  
  
  
  
  
  • Good understanding of advanced AI/ML algorithms & their applications
  
  
  • Applications and Digital Automation Solutions, Low Code /No Code and Automation Platforms, designing API's and exposure to DevOps, React/Angular, containers, building visualization layer.
  
  
  • Knowledge of self-service analytics platforms such as Dataiku/ KNIME/ Alteryx will be an added advantage. MS Excel knowledge is mandatory. Familiarity with Life Sciences is a plus
  
  
  
  

Education

Work Experience

Must have Skills: -

• 3+ years of experience in the data science space – preferably with the end to end automated ecosystem including, but not limited to, building data pipelines, developing & deploying scalable models, orchestration, scheduling, automation, ML operations

Skills that give you an edge: -

• Strong analytical skills to solve and model complex business requirements are a plus. With lifesciences or pharma background.

Behavioural Competencies

Technical Competencies

Skills