Senior AI/ML Engineer
2 days ago
Company:Global Technology organization
Key Skills:
AI/ML, NLP
Roles and Responsibilities:
- Design, develop, and optimize NLP-driven AI solutions using advanced models and techniques (NER, embeddings, summarization).
- Build and productionize Retrieval-Augmented Generation (RAG) pipelines and agentic workflows for intelligent, context-aware applications.
- Fine-tune, prompt-engineer, and deploy Large Language Models (LLMs) such as OpenAI, Anthropic, Falcon, and LLaMA for domain-specific use cases.
- Collaborate with data scientists, backend engineers, and cloud architects to develop scalable AI-first systems.
- Evaluate and integrate third-party APIs, open-source frameworks, and models for generative AI use cases.
- Continuously monitor and improve model accuracy, performance, and latency in production settings.
- Implement observability, explainability, and monitoring tools to ensure robust AI model performance.
- Ensure all deployed solutions adhere to enterprise standards for reliability, traceability, and maintainability.
Skills Required:
- Strong expertise in NLP techniques: NER, embeddings, summarization, sentiment analysis, topic modeling.
- Hands-on experience with LLMs (e.g., OpenAI, Anthropic, Falcon, LLaMA, Mistral).
- Proficiency in Python and ML libraries (e.g., PyTorch, TensorFlow, Hugging Face Transformers).
- Experience with Generative AI workflows: fine-tuning, prompt engineering, RAG pipelines, and agent-based systems.
- Familiarity with vector databases (e.g., Pinecone, FAISS, Weaviate, Milvus).
- Knowledge of cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
- Strong understanding of MLOps practices: monitoring, observability, CI/CD for ML models.
- Excellent problem-solving, collaboration, and communication skills.
Education:
Bachelor's or Master's degree in Computer Science, Machine Learning, AI, or a related field.
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