▷ 15h Left: AI ML Engineer

3 weeks ago

Bengaluru, India Xander Talent Full time
Role Overview

We are seeking an experienced AI/ML Engineer with 9 to 16 years of expertise in developing and deploying advanced AI solutions. The ideal candidate will possess a strong foundation in Machine Learning, experience working with LLM (Large Language Models), and proficiency with LangChain, OpenAI, and related technologies. This role focuses on creating cutting-edge solutions leveraging AI frameworks, Retrieval-Augmented Generation (RAG), and scalable ML models.

Key Responsibilities

- AI/ML Solution Development: Design, develop, and deploy AI-powered applications using LangChain, OpenAI APIs, and Python.- Large Language Models (LLM): Fine-tune, optimize, and implement LLMs for various business use cases.- Retrieval-Augmented Generation (RAG): Develop solutions that combine LLMs with RAG techniques to enhance contextual relevance and accuracy.- Machine Learning Models: Build, train, and optimize machine learning models tailored to specific data and problem domains.- Integration and Scalability: Implement scalable and efficient AI/ML solutions in cloud-based or hybrid environments.- Data Processing: Work with structured and unstructured data to prepare it for training and inference pipelines.- Innovation and Research: Stay updated with advancements in AI/ML, propose innovative solutions, and contribute to knowledge sharing.- Collaboration: Work closely with cross-functional teams to align AI/ML initiatives with business goals.

Key Skills and Experience Required

Technical Skills:

- Core AI/ML Skills:- Proficiency with LangChain and integration with OpenAI models.- Hands-on experience in building applications leveraging LLMs (e.g., GPT, GPT-like architectures).- Expertise in Retrieval-Augmented Generation (RAG) methods.- Strong command of Python for AI/ML development.- Solid understanding of machine learning algorithms, frameworks, and tools.- Frameworks and Libraries:- TensorFlow, PyTorch, Scikit-learn.- Familiarity with tools for fine-tuning and deployment of LLMs.- Data Management:- Experience with structured and unstructured data processing.- Knowledge of vector databases and embedding-based retrieval techniques.- Cloud Platforms:- Working knowledge of AWS, Azure, or GCP for scalable AI/ML deployments.

Soft Skills:

- Strong analytical and problem-solving abilities.- Excellent communication and presentation skills.- Ability to work collaboratively in a team and lead initiatives when required.

Preferred Qualifications

- Bachelor’s or Master’s degree in Computer Science, AI/ML, or related fields.- Proven experience in developing and deploying enterprise-scale AI solutions.- Publications, patents, or significant contributions to the AI/ML community are a plus.

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