AI/ML Engineer

3 days ago

Andheri, India Vishleshan Software Solutions Pvt. Ltd. Full time

Job Description: _____________________________________________________________________________________

  • Develop machine learning and deep learning models.
  • Build NLP solutions using frameworks like Rasa, Dialogflow, and LLMs.
  • Implement Generative AI and Retrieval-Augmented Generation (RAG) techniques.
  • Use frameworks like OpenAI and LangChain for AI projects.
  • Write efficient Python code and collaborate with cross-functional team.
  • Working on AI based Chatbot for various types of data sources such as chat with Pdfs, Docx/Docs, .txt, CSV-Agents & huge bunch of text files etc.
  • Building Chatbots using RAG, Lang Chain Frameworks & Gen AI techniques, LLMs, transformers & pre-trained hugging face architectures.
  • While building Chatbots working on Pre-training, Fine-Tuning, Prompt Engineering,evaluation & iteration, Deployment & Maintenance.
  • Approaches: Storing Embedding's & Vector-DB (FAISS, Chroma DB), ConversationChain, RAG+LLM Pipeline, Chat OpenAI Models, Hugging-Face Models, Ollama & OCI (Oracle Cloud Infrastructure), Azure DevOps Repos, Streamlit/Flask, , Restful-API etc.

  • Version Control: Azure-DevOps Repos, Git, etc.

  • Experience: 1-3 years in AI/ML or Data Science - AI Variant

  • Mandatory worked in GenAI, LLM and RAG
  • ML/DL: Regression, classification, CNNs, RNNs.
  • NLP: NER, sentiment analysis, tokenization.
  • Conversational AI: Experience with Rasa, Dialogflow, LLMs.
  • Generative AI: Knowledge of GANs, VAEs, RAG.
  • Python: Proficiency in TensorFlow, PyTorch, scikit-learn.
  • Analytical Skills: Strong problem-solving and data analysis

· Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or related field.

Job Type: Full-time

Pay: ₹20, ₹65,000.00 per month

Benefits:

  • Health insurance
  • Provident Fund

Experience:

  • total work: 1 year (Preferred)
  • Artificial Intelligence: 1 year (Preferred)

Work Location: In person

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