Gen AI Engineer

Overview

We are seeking a highly skilled Gen AI Engineer with expertise in artificial intelligence, deep learning, and machine learning. The ideal candidate will have a strong background in AI model development, experience with deep learning frameworks, and proficiency in leveraging cloud-based AI/ML tools. This role requires a deep understanding of multi-modal data and intelligent agent-based systems to develop cutting-edge AI solutions.

Key Responsibilities:

• Design, develop, and optimize AI/ML models for various applications.
• Implement and fine-tune deep learning architectures using TensorFlow, Keras, and PyTorch.
• Work with Hugging Face, LangChain, and OpenAI API to build and integrate generative AI solutions.
• Utilize Google Model Garden, Amazon Bedrock, and Nvidia Nim for cloud-based AI model deployment and management.
• Develop and integrate multi-modal AI models that handle text, image, audio, and video data.
• Research and implement state-of-the-art AI methodologies to improve model performance.
• Collaborate with cross-functional teams to deploy AI solutions in production environments.
• Optimize AI models for efficiency, scalability, and real-time processing.
• Stay up-to-date with the latest advancements in generative AI, large language models, and intelligent agents.

Required Qualifications:

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Strong foundation in AI, deep learning, and machine learning principles.
• Proficiency in Python and experience with AI/ML libraries and frameworks.
• Hands-on experience with Hugging Face, LangChain, and OpenAI API.
• Familiarity with cloud AI services such as Google Model Garden, Amazon Bedrock, and Nvidia Nim.
• Experience working with multi-modal data (text, image, audio, video) and intelligent agent-based systems.
• Knowledge of natural language processing (NLP), computer vision, and reinforcement learning is a plus.
• Strong problem-solving skills and ability to work in a fast-paced, innovative environment.

Preferred Qualifications:

• Experience with distributed computing and large-scale AI model training.
• Familiarity with MLOps and deployment of AI models in cloud environments.
• Contributions to open-source AI/ML projects.
• Published research in AI/ML conferences or journals.

Job Type: Contractual / Temporary
Contract length: 06 months

Pay: ₹355,258.23 - ₹1,541,683.93 per year

Schedule:

• Day shift

Experience:

• hugging face: 2 years (Required)
• langchain: 2 years (Required)
• Gen AI: 3 years (Required)

Work Location: In person