Senior Machine Learning/MLOps Developer

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Requirements:

• Proficient and strong knowledge in Python, Terraform, cloud platforms (GCP/AWS), Docker, K8, Kafka, Github Actions, serverless, and SQL.
• Familiar with Numpy, Tensorflow, Pytorch, vector DB, neural networks, computer vision, LLM, RAG and general ML concepts.
• Rich experience in building large-scale streaming ETL pipelines, API endpoints, and serverless apps.
• Proficiency in data manipulation and analysis using tools like SQL, BigQuery, Pandas, and/or Spark, along with experience in data visualization and dashboarding.
• Strong interpersonal and communication skills, with successful experience collaborating with distributed teams to deliver complex solutions.

Responsibilities:

• Design, develop, and maintain cloud machine learning pipelines in production for real-time processing and batch processing.
• Influence and craft the direction of a highly scalable machine learning pipeline.
• Collaborate with data scientists to explore, design, and build pre/post-processing ETL pipelines.
• Translate product requirements into a technical design and implement solutions using all resources available to you.
• Build, monitor, and maintain CI/CD workflows for internal software/tools.