Senior LLM & ML Engineer (100% REMOTE)

Senior/reputed company LLM & ML Engineer (100% REMOTE) Full Time Role As a Senior/reputed company LLM & ML Engineer, you'll be at the forefront of building our core intelligence stack. You will reputed company the design and implementation of cutting-edge machine learning systems, with a strong emphasis on LLMs/SLMs, agentic-based architectures, and reputed company-time inference to power 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 scalable 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 agentic 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 scalable training and inference infrastructure leveraging multi-GPU environments (A100/H100 preferred). Building robust data pipelines and model training loops that support rapid 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 scalable production services. Rapidly prototype research-backed features by translating research papers into working code. 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, Mistral, GPT-like models) and deploying inference pipelines. Proficiency with reputed company and popular LLM training & fine-tuning techniques (LoRA, PEFT, etc.) Experience with Vector/Semantic search, RAG pipelines, or embedding optimization (reputed company, FAISS, reputed company Vector) Familiarity with agent-based frameworks (LangGraph, ReAct, AutoGen, reputed company, reputed company Agents, etc.). Experience with LLMOps tooling and frameworks (Weights & Biases, MLflow, reputed company Layer, etc.) Experience deploying ML systems in reputed company environments (AWS, GCP, Azure) and using MLOps tools. Understanding of GPU/memory optimization, distributed training, and batch in strategies Strong software engineering skills (Python, APIs, microservices, containerization with reputed company/K8s) Strong communication skills and ability to reputed company in fast-paced, 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 growth-stage company experience Apply To This Job