AI/ML Engineer (MLOps & LLM)

Responsibilities

• Design, fine-tune, and evaluate large language models (LLMs) for domain-specific applications
• Build and maintain production-grade MLOps pipelines, including training, versioning, deployment, and monitoring
• Implement RAG (Retrieval-Augmented Generation) architectures and agentic LLM workflows
• Own model serving infrastructure using tools such as TorchServe, vLLM, TGI, or Triton
• Set up and manage experiment tracking (MLflow, W&B) and model registries
• Develop evaluation frameworks to rigorously benchmark model quality, latency, and safety
• Collaborate with product and engineering teams to translate AI capabilities into product features
• Monitor model drift, performance degradation, and data quality in live systems

Requirements

• 5+ years of experience in machine learning engineering or applied AI roles
• Hands-on experience fine-tuning or building applications with LLMs (GPT, LLaMA, Mistral, Gemini, Claude, etc.)
• Strong Python skills and proficiency with PyTorch or JAX for model development
• Production MLOps experience including CI/CD for ML, containerization (Docker/Kubernetes), and cloud ML platforms (AWS SageMaker, GCP Vertex AI, or Azure ML)
• Experience with vector databases (Pinecone, Weaviate, pgvector, Qdrant) and embedding pipelines
• Solid understanding of NLP fundamentals: tokenization, attention, RLHF, PEFT/LoRA, and quantization
• Experience with prompt engineering, prompt chaining, and LLM evaluation techniques
• Ability to independently architect AI systems and deliver production releases

Preferred Qualifications

• Experience with multi-modal models (vision-language, speech-to-text, text-to-image)
• Familiarity with LLM frameworks such as LangChain, LlamaIndex, DSPy, or Semantic Kernel
• Knowledge of AI safety, guardrails, and responsible AI deployment practices
• Published research or recognized open-source contributions in ML/NLP
• Experience building AI-powered products in fintech, healthtech, or enterprise SaaS domains

About the Company

Strategic Systems International (SSI) is expanding its AI capabilities and seeking high-impact engineers to drive innovation. We focus on delivering cutting-edge AI solutions through deep expertise in both model development and production operations.