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

• Health Insurance: Ensure peace of mind with our comprehensive health insurance coverage offering you and your family access to highquality healthcare whenever necessary.
  
• Provident Fund Contribution: Our company provides a provident fund policy with contributions from both the employer and employee. This collaborative effort actively builds your retirement savings establishing a robust financial foundation for your future.
  
• Hybrid Work Mode and Flexible Working Hours: Embrace flexibility through our hybrid work mode allowing you to work remotely for two days from home and spend three days in the office. Take charge of your schedule with our flexible working hours policy empowering you to manage personal appointments and commitments effectively.
  
• Open Fridge Policy: Foster a positive atmosphere in our office with an open fridge policy. Enjoy a diverse selection of beverages and snacks freely available to all employees keeping you refreshed throughout the day.
  
• International Expert Team: Collaborate with a diverse team of international experts to broaden your professional horizons. Learn and work alongside professionals from different backgrounds fostering personal and career growth.