Sr. AI Engineer 4B

Overview

Build and deploy machine learning and generative AI solutions, including LLM-based applications, to solve complex business problems. The role focuses on AI/ML, data science, NLP, cloud-based AI services, and advanced AI frameworks.

What you'll do

• Design, develop, and deploy machine learning and generative AI models to address business needs.
• Work with large-scale datasets using Python, SQL, and industry-standard libraries.
• Develop and fine-tune LLM-based solutions using GPT-4 or similar models for real-world applications.
• Ensure data quality, integrity, and compliance with best practices, frameworks, and coding standards.
• Collaborate with engineering, product, and business teams to translate requirements into AI-driven solutions.
• Explore and apply natural language processing techniques for text understanding, summarization, and sentiment analysis.
• Implement solutions on Azure, AWS, or GCP, ensuring scalability and efficiency.
• Research and experiment with GenAI, Agentic AI models, and advanced frameworks to drive innovation.
• Mentor junior team members on AI best practices and troubleshooting.

What you'll need

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Strong programming skills in Python.
• Proficiency in SQL.
• Hands-on experience in machine learning, AI, and data science projects.
• Solid understanding of generative AI concepts, frameworks, and model deployment.
• Proficiency with deep learning libraries such as TensorFlow, PyTorch, or Keras.

Nice to have

• Prior experience in building or fine-tuning LLM applications.
• Familiarity with NLP techniques and tasks, including NER, sentiment analysis, summarization, and text classification.
• Exposure to AutoML frameworks and cloud AI services such as Azure AI, AWS SageMaker, and GCP Vertex AI.
• Experience with MLOps practices for model lifecycle management.
• Strong problem-solving, communication, and collaboration skills in multidisciplinary environments.

Details

• Location: Hafeezpet Phoenix, Hyderabad, India.
• Work mode: Hybrid.
• Work shift: Day Job (India).
• Employment type: Regular.
• Language: English.
• Language proficiency: Upper Intermediate - B2.