Senior AI/ML Engineer

2 days ago


Bengaluru, Karnataka, India MyCareernet Full time US$ 1,20,000 - US$ 2,00,000 per year

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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