We are looking for a skilled AI/ML Engineer (5+ Years) with strong expertise in LLM platforms, MLOps, and multi-cloud ML infrastructure (AWS/GCP). Company: Forcecraver Technologies Role: AI/ML Engineer – LLM Platform & Model Management Location: Remote, India-based candidates only, U.S. working hours Experience: • 5+ years Key Skills: • MLOps • LLMOps • SageMaker • Vertex AI • NLP • Transformers • Generative AI • Python • PyTorch • TensorFlow • Hugging Face • MLflow • API design • microservices • containerization • AWS services (S3, Lambda, Bedrock) Role Focus: • Deploy & manage ML models using SageMaker • Migrate workloads from Vertex AI to AWS • Build scalable inference pipelines & model monitoring • Integrate LLM APIs (Gemini, Bedrock – Claude, Llama, Titan) • Implement multi-model routing & cost optimization • Configure LiteLLM for unified AI access • Build AI-driven document processing & RAG pipelines • Deploy containerized services (ECS Fargate, Kubernetes/EKS) • Ensure secure cloud infrastructure (IAM) Other: • Contract (3–6 Months) • Timing: 8 AM – 4 PM EST • Start: Within 2 Weeks • Work on cutting-edge Generative AI projects • Exposure to multi-cloud AI ecosystems • High-impact, innovation-driven environment