Vishleshan Software Solutions
AI/ML Engineer
Skills
17 days ago
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Important information
Contract type:
Permanent
Location:
Maharashtra, India
Work mode:
Onsite
Published on:
5 October 2026
What they need
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, Node.js, 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: ₹200,000.00 - ₹600,000.00 per year
Benefits:
- Health insurance
- Provident Fund
Experience:
- total work: 1 year (Preferred)
- Artificial Intelligence: 1 year (Preferred)
Work Location: In person
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