Supply Chain-AI Automation- Consultant

4 - 7 years

12 - 13 Lacs

Posted:-1 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

  • Collaborate with data engineering teams to enable high-quality data curation for model training and evaluation.
  • Design, develop, and fine-tune Generative AI models using frameworks like LangChain, Hugging Face, TensorFlow, or PyTorch.
  • Implement solutions for data pre-processing, tokenization, and dataset augmentation.
  • Deploy Generative AI models on cloud platforms (e.g., AWS, GCP, Azure) or edge devices, ensuring scalability and robustness.
  • Work on MLOps pipelines, including CI/CD workflows, model monitoring, and retraining strategies.
  • Conduct performance benchmarking, hyperparameter tuning, and optimization to improve model efficiency.
  • Stay updated on the latest trends and advancements in Generative AI and integrate best practices into project workflows.

Skills and attributes for success

  • 4-7 years or experience in Generative AI, Machine Learning, or Analytics development.
  • Proficiency in Python with focus on AI/ML libraries and frameworks like LangChain, TensorFlow, PyTorch, or Hugging Face Transformers with quite good experience on RAG, Agent, and Transformers.
  • Experience with data pipelines and tools like Spark, Snowflake, or Databricks.
  • Strong hands-on experience deploying AI models on cloud platforms (AWS SageMaker, GCP Vertex AI, or Azure ML).
  • Expertise in Model Development with in-depth knowledge of LLMs (e.g., GPT-3.5, GPT-4, DALL-E, Text Embeddings Ada, LLAMA, T5, Bloom), prompt engineering, and Model selection and fine-tuning techniques.
  • Should have good understanding of Model pricing can build cost effective solution.
  • Experience with tools like MLflow, Kubeflow, or Airflow for operationalizing ML workflows, Docker.
  • Ability to mentor developers and contribute to architectural decisions.
  • Familiarity with Vector Databases and embeddings (e.g., Pinecone, Weaviate).
  • Experience working on end-to-end analytics pipelines with a focus on actionable insights.
  • Hands-on exposure to APIs for integrating Generative AI solutions into business applications.
  • Knowledge of NLP techniques like summarization, text classification, and entity recognition.
  • Certifications in Machine Learning or cloud platforms are a plus.

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Professional Services

London

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