Senior MLOps Engineer

• Take on highlevel tasks with Data Scientists or Project Leads.
  
• Develop strategies and operational plans independently.
  
• Translate highlevel tasks into structured plans complete with proofofconcept models.
  

• Implement manage and monitor the entire lifecycle of machine learning models.
  
• Development deployment versioning delivery and archiving.
  
• Infrastructure & Pipeline DevelopmentDeployment:
  
• Build and maintain infrastructure for model training validating deploying and monitoring ML models.
  
• Develop robust data pipelines for largescale realtime and batch data processing.
  

• Automate repetitive tasks in the ML lifecycle.
  
• Develop and maintain tools to assist data scientists in model creation and improvement.
  
• Associate CI/CT strategies for modeltraining modeltesting with Verification & Validation teams.
  
• Integrate DevOps practices into the MLOps workflows.
  

• Stay abreast of the latest developments in MLOps and DevOps technologies.
  
• Integrate relevant advancements into our processes.
  
• Use strong analytical skills to identify and address issues in our MLOps and DevOps processes and systems improving efficiency and effectiveness.
  

• Effectively communicate technical information and project updates to stakeholders at various levels within the organization.
  

Requirements

• Bachelor s degree or master s degree in computer science data analyst AI/ML data engineering Mathematics or a related field.
  
• Proven experience in MLOps DevOps Data Engineering or a similar role with a demonstrated capacity to work autonomously and take initiative.
  
• Deep understanding of machine learning algorithms and data science principles. Experience with ML frameworks such as TensorFlow PyTorch or ScikitLearn.
  
• Proficiency in developing and maintaining CI/CD pipelines particularly those involving machine learning workflows.
  
• Proficiency in Python and familiarity with data manipulation/analysis libraries like pandas NumPy and SQL databases.
  
• Proficiency with cloud platforms such as AWS/EC2 GCP or Azure and containerization tools like Docker Kubernetes.
  
• Strong problemsolving skills with a track record of addressing and resolving complex technical issues.
  
• Excellent communication skills with the ability to explain complex technical concepts clearly.
  
• Good to have experience with PaLM LLaMA models (E.g. Optimizations with 7B 13B 33B and 65B parameters) Previous experience with LAMDA. HumanEval etc.
  

Benefits

What We Offer:

• Additional free health insurance
  
• Meal vouchers
  
• Holiday voucher in addition to Christmas Easter and birthday voucher
  
• Generous vacation policy
  
• Flexible working hours
  
• Open fridge & generous snack policy
  
• Competitive salary.
  
• Opportunity to work on cuttingedge projects in a dynamic and collaborative environment.
  
• Professional development and growth opportunities.
  
• A supportive and inclusive workplace culture.