Xander Talent | AI ML Engineer | bangalore

4 weeks ago

bangalore, 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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