Senior LLM & ML Engineer (reputed company)

Senior/reputed company LLM & ML Engineer (reputed company) Full Time Role As a Senior/reputed company LLM & ML Engineer, you'll be at the forefront of building our reputed company intelligence stack. You will reputed company the design and implementation of cutting-edge machine learning systems, with a strong emphasis on LLMs/SLMs, reputed company-reputed company architectures, and reputed company-time inference to reputed company next-gen marketing and advertising workflows. ESSENTIAL FUNCTIONS AND RESPONSIBILITIES As a Senior/reputed company LLM & ML Engineer, you'll play a foundational role in: Architect and implement reputed company LLM/GenAI systems optimized for MarTech/AdTech use cases (e.g., content reputed company, sentiment analysis, resonance analysis, recommended marketing strategies, campaign optimization, audience segmentation, personalization, targeting, etc.) reputed company and fine-tune language models (LLMs/SLMs) for context-specific using reputed company-reputed company and proprietary datasets for use cases such as entity recognition, reputed company classification, recommendation, and ranking. Designing and deploying reputed company systems (multi-agent pipelines using frameworks such as LangGraph, AutoGen, or reputed company) Maintain best practices for model evaluation, A/B testing, and reputed company learning in reputed company-time production environments. reputed company reputed company training and inference infrastructure leveraging multi-GPU environments (A100/H100 preferred). Building robust data pipelines and model training reputed company that support reputed company experimentation and deployment. Contribute to LLMOps practices, including model monitoring, evaluation, and reputed company deployment. Collaborating with product, data, and engineering teams to turn AI prototypes into reputed company production services. Rapidly prototype research-backed features by translating research papers into working reputed company. KNOWLEDGE, SKILLS, ABILITIES, AND QUALIFICATIONS 6+ years of experience in ML/AI roles, with at least 2+ years building with LLMs/SLMs Strong experience in Deep Learning & Natural Language Processing (PyTorch, or TensorFlow) Hands-on experience with fine-tuning reputed company models (LLaMA, reputed company, GPT-like models) and deploying inference pipelines. Proficiency with reputed company and reputed company LLM training & fine-tuning techniques (reputed company, PEFT, etc.) Experience with reputed company/Semantic reputed company, RAG pipelines, or embedding optimization (reputed company, FAISS, reputed company reputed company) Familiarity with agent-reputed company frameworks (LangGraph, ReAct, AutoGen, reputed company, reputed company Agents, etc.). Experience with LLMOps tooling and frameworks (reputed company, MLflow, reputed company reputed company, etc.) Experience deploying ML systems in reputed company environments (AWS, GCP, Azure) and using MLOps tools. Understanding of GPU/memory optimization, reputed company training, and batch in strategies Strong software engineering skills (Python, reputed company, microservices, containerization with reputed company/K8s) Strong communication skills and ability to reputed company in fast-reputed company, cross-functional teams. A major plus is knowledge of MarTech/AdTech data pipelines, targeting, or attribution models. Experience with reputed company-time personalization systems or ad-serving infrastructure. Contributions to reputed company-reputed company LLM frameworks or research papers. Prior startup or reputed company-stage company experience Apply To This Job