AI/ML Engineer

2 weeks ago


Bengaluru, Karnataka, India NTT DATA Services Full time

AI/ML Engineer Requirements

  • 6+ years' experience in data domain (data analysis, database development).
  • Minimum 4 years' as an AI/ML Engineer, specializing in data wrangling, cleaning, and feature engineering.
  • Minimum 3 years' strong knowledge of Azure AI for deploying ML models and services like OCR, Object Recognition, Text to Speech, Document Search, etc.
  • Minimum 3 years' experience with machine learning libraries and frameworks (TensorFlow, PyTorch, etc.).
  • Minimum 2 years' on Apache Spark or Azure Databricks. Proficient in Python, R, PySpark, and SparkSQL.
  • Expertise in Apache Spark and Databricks (ML Flow and Auto ML) for large-scale data processing and model training.
  • Strong knowledge of Generative AI, Prompt Engineering, Embedding, and Vector DBs, Workflows, Agents, and frameworks like LangChain and HuggingFace.
  • Familiarity with deep learning architectures (CNNs, RNNs).
  • Experience with NLP libraries (NLTK, spaCy) is beneficial.
  • Working Knowledge of Power BI or other data visualization tools is advantageous.
  • Good understanding of MLOps tools and processes.

Role & Responsibilities

  • Evaluate and define functional requirements for BI and DW solutions.
  • Design and develop machine learning models for complex business problems using supervised and unsupervised learning.
  • Design and develop Generative AI use cases leveraging LLMs and frameworks.
  • Lead data identification and analysis efforts for data sources collaborating directly with data owner teams.
  • Collaborate with data scientists and software engineers to integrate ML models into production systems leveraging Databricks.
  • Train, evaluate, and optimize machine learning models on Databricks.
  • Monitor model performance and identify areas for enhancement.
  • Visualize outputs using BI Tools.
  • Stay updated on the latest AI, machine learning, and Generative AI advancements.
  • Work with DevOps team to implement CI/CD pipelines.

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