NEWPosted 1 hour ago

Job ID: JOB_ID_7773

Job Summary

We are looking for a highly skilled Python Technical Lead with expertise in Data Analysis, SQL, and Machine Learning, specifically focusing on Generative AI and Cloud technologies. The ideal candidate will have a strong background in building and deploying ML models, MLOps, and a passion for leveraging cutting-edge AI solutions.

Responsibilities

  • Generative AI Development: Design, develop, and fine-tune Generative AI solutions using models like Google’s Gemini for tasks such as information extraction, document summarization, and report generation.
  • Architect and implement advanced Retrieval-Augmented Generation (RAG) systems to enhance model accuracy and provide verifiable, context-aware responses.
  • Research and apply emerging GenAI techniques, such as agentic frameworks, to build more autonomous and capable systems.
  • End-to-End Machine Learning: Design and deploy a wide range of ML models (classification, regression, forecasting, etc.) on Google Cloud Platform.
  • Build and maintain robust, automated MLOps pipelines for data preprocessing, feature engineering, model training, validation, and deployment using tools like Vertex AI, BigQuery, etc.
  • Conduct deep data analysis to uncover insights, validate hypotheses, and guide feature engineering for improved model performance.
  • Collaboration & Strategy: Partner closely with data scientists, software engineers, and other business stakeholders to frame problem statements, define technical requirements, and deliver integrated AI/ML solutions.
  • Champion best practices in software engineering and MLOps to ensure the quality, maintainability, and scalability of our machine learning systems.
  • Continuously evaluate and stay current with the latest advancements in the ML and GenAI landscape.

Qualifications

  • Experience: 5+ years of professional experience building and deploying machine learning models in a production environment.
  • Education: Bachelor’s degree in Computer Science, Data Science, Statistics, or a related quantitative field.
  • Programming: Advanced proficiency in Python and its core data science/ML libraries (e.g., PyTorch, scikit-learn, Pandas).
  • Data & SQL: Advanced proficiency in SQL for complex data manipulation, aggregation, and analysis.
  • Generative AI: Demonstrable, hands-on experience in prompt engineering and/or fine-tuning Large Language Models (e.g., Gemini).
  • Cloud Platform: Hands-on experience with a major cloud provider, with a strong preference for Google Cloud Platform (GCP).
  • MLOps: Solid understanding of MLOps principles and experience with related tools (e.g., Vertex AI, CI/CD).

Preferred Qualifications

  • Masters or PhD in a relevant field.
  • Specific experience with GCP services like Vertex AI, BigQuery, Google Cloud Storage, and GKE.
  • Experience building RAG systems from the ground up.
  • Proven ability to lead technical projects and mentor other engineers.

Special Requirements

Visa: USC, TN, E3. GC not workable.

Compensation & Location

Salary: $140,000 – $170,000 per year

Location: Remote

Recruiter / Company – Contact Information

Recruiter / Employer: Incorporaninc

Email: geetha@incorporaninc.com

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