Artificial Intelligence Software Engineer

2 days ago

Vizag, Andhra Pradesh, India beBeeMachineLearning Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
AI Engineering Leader

We are seeking an experienced AI/ML professional to lead our engineering team.

The ideal candidate will possess a robust background in traditional machine learning, deep learning, and significant experience with large datasets and cloud-based AI services.

  • Data Pipeline Development: Develop and optimize complex data pipelines, applying machine learning engineering principles to enhance efficiency and scalability.
  • Pipeline Optimization: Integrate and optimize data and model pipelines within production environments, diagnosing data inconsistencies and documenting assumptions.
  • Experimental Methodologies: Employ experimental methodologies, statistics, and machine learning concepts to create self-running AI systems for predictive modeling.
  • Collaboration: Collaborate with data science teams to review model-ready datasets and feature documentation, ensuring completeness and accuracy.
  • Data Discovery: Perform data discovery and analysis of raw data sources, applying business context to meet model development needs.
  • Business Process Understanding: Engage with internal stakeholders to understand business processes and translate requirements into analytical approaches.

Requirements:

  • Qualifications: Undergraduate degree or equivalent experience; a graduate degree is preferred.
  • Experience: Minimum of 8 years of relevant work experience.
  • AWS Experience: At least 3 years of hands-on experience designing ETL pipelines using AWS services (e.g., Glue, SageMaker).
  • Programming Skills: Proficiency in programming languages, particularly Python (including PySpark, PySQL) and familiarity with machine learning libraries and frameworks.

Preferred Qualifications:

  • Feature Store Usage: Familiarity with Feature Store usage, LLMs, GenAI, RAG, Prompt Engineering, and Model Evaluation.
  • API Design: Experience with API design and development.
  • Docker Kubernetes: Familiarity with Docker Kubernetes.

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