Job Description

AI/ML Engineer Requirements

• 6+ years\' overall experience in data domain (data analysis, database developer).
• Minimum 4 years\' experience as an AI/ML Engineer, with experience in data wrangling, cleaning, and feature engineering.
• Minimum 3 years\' experience and 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\' experience on Apache Spark or Azure Databricks. Good hands-on skills working with 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, LLM, 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 a plus.
• Working Knowledge of Power BI or any other data visualization tool is a plus.
• Good knowledge of MLOps tools and processes.

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

NTT Data