Information Technology
Full-Time
MagellanicCloud
Overview
Role Summary
Magellanic Cloud is seeking a highly skilled and experienced Senior AIML and Gen AI Engineer to join our dynamic team in Hyderabad. This is a full-time, on-site role where you will be instrumental in developing and deploying cutting-edge AI and machine learning solutions, with a strong emphasis on Large Language Models (LLMs) and Generative AI. You will leverage your deep understanding of AI/ML principles, hands-on experience with leading frameworks and cloud platforms, and expertise in MLOps to tackle complex real-world challenges and drive innovation.
Responsibilities
Magellanic Cloud is seeking a highly skilled and experienced Senior AIML and Gen AI Engineer to join our dynamic team in Hyderabad. This is a full-time, on-site role where you will be instrumental in developing and deploying cutting-edge AI and machine learning solutions, with a strong emphasis on Large Language Models (LLMs) and Generative AI. You will leverage your deep understanding of AI/ML principles, hands-on experience with leading frameworks and cloud platforms, and expertise in MLOps to tackle complex real-world challenges and drive innovation.
Responsibilities
- Design, develop, and implement advanced AI/ML models and Gen AI applications, including those leveraging LLMs and Retrieval-Augmented Generation (RAG).
- Utilize your expertise in Python and leading AI/ML frameworks such as TensorFlow and PyTorch to build and train models.
- Work extensively with libraries like LangChain and Hugging Face Transformers to develop and deploy LLM-based solutions.
- Leverage cloud-based AI services from providers such as AWS (Bedrock, Nova, SageMaker), Azure AI, Vertex AI, and OpenAI APIs to build scalable and robust AI applications.
- Implement and manage MLOps pipelines to automate the deployment, monitoring, and maintenance of AI/ML models.
- Design and work with Vector Databases (e.g., Pinecone, FAISS, ChromaDB) for efficient storage and retrieval of embeddings.
- Collaborate with cross-functional teams to understand business requirements and translate them into effective AI/ML solutions.1
- Research and experiment with new AI/ML techniques and technologies to continuously improve our capabilities.
- Ensure the performance, scalability, and reliability of deployed AI/ML systems.
- Troubleshoot and resolve issues related to AI/ML models and infrastructure.
- Contribute to technical documentation and knowledge sharing within the team.
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- 6-8 years of hands-on experience in developing and deploying AI/ML solutions.
- Proven expertise in working with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and other Generative AI techniques.
- Strong proficiency in Python programming.
- Deep understanding and practical experience with AI/ML frameworks such as TensorFlow and PyTorch.
- Hands-on experience with libraries like LangChain and Hugging Face Transformers.
- Significant experience working with cloud-based AI platforms and services, including at least one of the following: AWS Bedrock, AWS Nova, Azure AI, Vertex AI, OpenAI APIs.
- Solid understanding and practical experience with MLOps principles and tools for automating AI model deployment and lifecycle management.
- Hands-on experience with Vector Databases such as Pinecone, FAISS, and ChromaDB.
- Experience with AutoML tools and techniques.
- Proven skills in Prompt Engineering for optimizing LLM performance.
- Experience in Fine-Tuning Large Language Models for specific tasks.
- Contributions to open-source AI projects and relevant research publications.
- Understanding of AI Ethics, AI security considerations, and Responsible AI frameworks.
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