Machine Learning Solutions Architect

4 days ago


Bengaluru, Karnataka, India Alteryx Full time

Overview

As a Machine Learning Solutions Architect at Alteryx, you will be responsible for designing and developing cutting-edge AI solutions that drive business growth. With your expertise in Generative AI, large language models, deep learning, and traditional ML techniques, you will play a critical role in shaping the future of our AI/ML development team.

About You

You have 8 years of experience in data science, machine learning, and artificial intelligence, with a strong proficiency in Python. You possess deep expertise in Generative AI, large language models (LLMs), deep learning, NLP, and traditional ML techniques. Your hands-on experience with ML frameworks including TensorFlow, LangChain, LangGraph, RAG, PyTorch, Scikit-learn, and Keras makes you an ideal candidate for this role.

Key Responsibilities

  • Design and develop scalable Generative AI and ML solutions to enhance our data analytics and automation platform.
  • Lead end-to-end lifecycle of machine learning models from data collection, preprocessing, and feature engineering to model development, deployment, and monitoring.
  • Work with large-scale structured and unstructured datasets, ensuring high data quality and effective feature engineering.
  • Implement and optimize Generative AI and ML models using Python and frameworks such as TensorFlow, LangChain, LangSmith, and LangGraph.
  • Leverage retrieval-augmented generation (RAG) techniques for enhanced AI performance.
  • Deploy models using MLOps best practices, including containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines.
  • Collaborate with data engineers, product managers, and business stakeholders to align AI/ML initiatives with business goals.

What We Offer

  • Opportunity to work with a highly skilled team of AI/ML professionals.
  • Chance to design and develop cutting-edge AI solutions that drive business growth.
  • Competitive salary and benefits package.
  • Opportunities for career growth and professional development.


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