Aezion - Artificial Intelligence/Machine Learning Engineer - Generative AI (5-10 yrs)

Job Title : AI/ML Engineer.

Bengaluru/Coimbatore/Mysore.

Fulltime.

Job Summary :

- We are looking for an innovative AI/ML Engineer to join our team and work on cutting-edge machine learning and artificial intelligence projects.

- The ideal candidate will have experience in building, deploying, and optimizing AI/ML models, along with a strong foundation in data science, programming, and algorithms.

- You will help drive the development of intelligent systems that leverage machine learning to solve real-world problems and improve business outcomes.

GenAI Developer

Job Description :

- We are seeking a talented Generative AI Developer to join our innovative team.

- The ideal candidate will have a strong background in AI and machine learning, with a focus on generative models and large language models (LLMs).

- You will work closely with cross-functional teams to conceptualize, design, test, and deploy AI projects that drive innovation and provide value in the rapidly evolving field of artificial intelligence.

- Join us and be part of a dynamic team that is shaping the future of AI.

- Advanced Programming Knowledge: Mastery in programming languages like Python and expertise in AI-specific libraries such as TensorFlow, PyTorch, and Keras.

- Proficiency in implementing and manipulating complex algorithms essential for generative AI development.

- Generative Models Expertise: In-depth experience with Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs).

- Ability to design, train, and optimize these models for generating high-quality and creative content.

Natural Language Processing (NLP) :

- Strong background in text generation techniques, including text parsing, sentiment analysis, and the use of transformers like GPT models for advanced text-based applications.

Vector Databases :

- Hands-on experience with vector databases such as Pinecone, PgVector, and Qdrant for efficient retrieval and similarity search.

Embedding, Retrieval-Augmented Generation (RAG), and Indexing :

- Expertise in creating embeddings, implementing RAG workflows, and indexing vector databases to improve search, retrieval, and contextual generation.

LangChain and LangGraph :

- Expertise in building advanced workflows and applications using LangChain for LLM-based solutions and LangGraph for structured workflows with conditional logic.

FastAPI and Microservices :

- Proficiency in building scalable, RESTful FastAPI applications and microservices architectures for deploying AI solutions.

LangSmith and LangFuse :

- Experience using LangSmith for debugging and evaluation of LLM chains, and LangFuse for logging and analytics in LLM applications.

Cloud Computing and Deployment :

- Expertise in deploying and managing AI applications on cloud platforms such as AWS, Google Cloud, and Microsoft Azure.

- Familiarity with Docker for containerization and Kubernetes for scaling and orchestration.