Python Developer GenAI/MLOps Specialist @ Data Economy

Job Description

• Design, build, and maintain high-performance APIs using FastAPI .
  
• Develop and integrate solutions using LangChain , LlamaIndex , or Autogen .
  
• Train, fine-tune, and deploy Generative AI models .
  
• Implement MLOps practices such as model versioning, monitoring, retraining, and automation pipelines.
  
• Containerize applications with Docker and deploy to orchestration platforms like AWS ECS .
  
• Collaborate closely with ML engineers, data scientists, and DevOps teams.
  
• Maintain clean, scalable, and version-controlled code using Git .

Requirements Required Skills:

• 5 to 10 years of experience in Python development and backend API frameworks, especially FastAPI .
  
• Strong understanding of Machine Learning concepts and practical applications.
  
• Hands-on experience with LangChain , LlamaIndex , or Autogen frameworks.
  
• Proficiency in GenAI model training , fine-tuning, and deployment strategies.
  
• Strong knowledge of MLOps practices including model lifecycle management.
  
• Practical experience with Docker containerization and deployments (AWS ECS or similar).
  
• Expertise in using Git for code collaboration and version control.

Nice to Have:

• Knowledge of Natural Language Processing (NLP) and Deep Learning architectures.
  
• Familiarity with cloud platforms like AWS , GCP , or Azure .
  
• Experience with Vector Databases (e.g., FAISS , Pinecone ).
  
• Exposure to real-time data processing or event-driven architectures .
  
• Added Advantage: Experience with PySpark for big data processing.

Educational Qualification:

• Bacheloror Masterdegree in Computer Science , Information Technology , or a related field.

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Keyskills:   Computer science Automation Backend Version control GCP Machine learning Natural language processing Information technology Monitoring Python