● Required Skills and Competencies
o 7+ years of experience in AI/ML, Data Science, Machine Learning Engineering, or related fields.
o Strong hands-on programming experience in Python.
o Strong understanding of Machine Learning and Deep Learning concepts and algorithms.
o Hands-on experience with PyTorch, TensorFlow, or similar frameworks.
o Strong knowledge of NLP, Transformers, and modern AI architectures.
o Hands-on experience with Generative AI and Large Language Models (LLMs).
o Experience with RAG, embeddings, vector databases, prompt engineering, and LLM evaluation.
o Experience with LLM fine-tuning or customization, such as LoRA, PEFT, or QLoRA.
o Experience designing and deploying AI/ML solutions in production.
o Strong understanding of MLOps, model deployment, monitoring, and lifecycle management.
o Experience with cloud platforms such as AWS, Azure, or GCP.
o Strong understanding of software engineering principles, APIs, microservices, Git, testing, and CI/CD.
o Strong problem-solving, communication, and technical leadership skills
● Preferred Qualifications
o Experience with AWS SageMaker, Bedrock, Azure ML, Vertex AI, or equivalent AI platforms.
o Experience with Docker and Kubernetes.
o Experience with MLflow, Kubeflow, or similar MLOps platforms.
o Experience with LangChain, LlamaIndex, DSPy, or similar AI frameworks.
o Experience with agentic AI and AI orchestration.
o Experience optimizing AI/LLM inference for latency, throughput, and cost.
o Knowledge of model quantization, distillation, batching, caching, and GPU optimization.
o Experience working with large-scale datasets and distributed data processing.
o Experience building AI platforms or reusable AI/ML components.
o Experience leading or mentoring AI/ML engineers.
o Experience working in a fast-paced product or technology environment.
