Artificial Intelligence/Machine Learning Engineer - Large Language Models (3-15 yrs)

Job Description :

AI/ML Engineer - Generative AI

We are seeking a skilled and motivated AI/ML Engineer with expertise in Generative AI technologies to join our team.

The ideal candidate will have a strong background in artificial intelligence and machine learning, with hands-on experience in developing and deploying innovative solutions using generative AI techniques.

As an AI/ML Engineer, you will be responsible for building, optimizing, and maintaining AI-driven systems that drive creativity and innovation in various applications.

Responsibilities :

- Implement, and optimize AI/ML models and algorithms with a focus on Agentic AI and Retrieval-Augmented Generation (RAG).

- Implement scalable machine learning models and algorithms to solve complex challenges.

- Research and integrate the latest AI tools and frameworks into existing systems.

- Stay up to date with advancements in AI/ML research and apply them to practical problems.

- Experiment with and implement Generative AI technologies across multiple domains.

- Leverage cloud platforms like Google Cloud, AWS, and Azure for scalable AI/ML deployments.

- Utilize open-source large language models (LLMs) such as LLama3 in AI application development.

Key Skills :

- Strong understanding of Agentic AI concepts and applications.

- Hands-on experience with Retrieval-Augmented Generation (RAG) models.

- Expertise in machine learning and deep learning frameworks (e., TensorFlow, PyTorch).

- Experience with Large language models (e., GPT-4, LLama, Amazon Bedrock) and integrating them into production systems.

- Proficiency in programming languages such as Python, and familiarity with libraries like Hugging Face Transformers, langchain and llama index.

- Experience in building and deploying AI/ML solutions using cloud platforms (AWS, GCP, Azure).

- Knowledge of data retrieval, natural language processing (NLP), and reinforcement learning techniques.

- Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.

- Experience with model optimization, fine-tuning, and inference strategies to improve system performance.

Preferred Skills :

- Experience with advanced NLP tasks like text generation, summarization, and question answering, familiarity with reinforcement learning algorithms and their application in intelligent agent design.

- Familiarity with containerization technologies (e., Docker, Kubernetes).

- Background in computer vision and image generation techniques