Senior Engineer AI

Role Overview

Technical Requirements

• Deep expertise in machine learning algorithms, including supervised, unsupervised, deep, and reinforcement learning.
• Solid experience with natural language processing, including language models, text generation, and sentiment analysis.
• Proven understanding of generative AI concepts such as synthesis, diffusion models, and transformers.
• Expertise building real-world applications with agentic AI.
• Experience with agentic AI frameworks such as LangGraph, ADK, or AutoGen.
• Experience developing and deploying generative AI applications.
• Experience with MLOps and machine learning model deployment pipelines.

Required Skills

• Proficiency in Python and machine learning frameworks such as TensorFlow or PyTorch.
• Knowledge of AWS, GCP, or Azure for scalable machine learning solution deployment.
• Experience with data processing, feature engineering, and model training on large datasets.
• Familiarity with responsible AI practices, ethics, model governance, and risk mitigation.
• Understanding of software engineering best practices applied to machine learning systems.

Responsibilities

• Design, develop, and optimize machine learning models for applications across different domains.
• Build natural language processing pipelines for text generation, summarization, translation, and related tasks.
• Develop and deploy generative AI and agentic AI applications.
• Implement MLOps practices for model training, evaluation, deployment, monitoring, and maintenance.