AI Specialist – GenAI, RAG
1 week ago
Location:
Mumbai, India
Job Type:
Full-Time
Salary: 8-10 LPA
About NewtonAI
NewtonAI is an AI-powered corporate training platform that leverages cutting-edge AI technologies to enhance learning experiences. We are looking for a highly skilled
AI Specialist
to drive our AI integration efforts, optimize RAG (Retrieval-Augmented Generation) systems, and implement various AI-driven workflows.
Key Responsibilities
1. AI Integration & API Development
Integrate third-party AI APIs (e.g., OpenAI, Hugging Face, LangChain, Pinecone, etc.) into NewtonAI's platform.
Develop and optimize
LLM-powered applications
and AI-driven workflows.
Build API layers for AI models, ensuring scalability and efficiency.
2. RAG System Implementation & Optimization
Design, implement, and fine-tune
Retrieval-Augmented Generation (RAG) systems
for AI-driven content delivery.
Work with
vector databases
(e.g., Pinecone, Weaviate, FAISS) for efficient document retrieval.
Optimize knowledge retrieval pipelines for AI training modules.
3. AI Workflows & Automation
Develop AI-powered
automation workflows
for seamless user experiences.
Implement
chatbot integrations
for AI-driven corporate training solutions.
Enhance AI model inference speeds and optimize resource utilization.
4. Model Deployment & Fine-Tuning
Fine-tune
LLMs (Large Language Models)
for domain-specific applications.
Deploy and monitor AI models using
cloud-based solutions
(AWS, GCP, Azure).
Optimize AI pipelines for performance, cost, and reliability.
5. Data Engineering & Preprocessing
Work with
structured & unstructured data
to improve AI model accuracy.
Implement
data augmentation, preprocessing, and cleaning techniques .
Collaborate with data engineers to build AI-ready datasets.
Required Skills & Qualifications
Proficiency in AI & Machine Learning:
Hands-on experience with
LLMs, NLP, and deep learning frameworks (PyTorch, TensorFlow, LangChain, etc.) .
API Development & Integration:
Experience working with
RESTful APIs, GraphQL, and third-party AI APIs
(OpenAI, Hugging Face, etc.).
RAG & Vector Databases:
Strong understanding of
Retrieval-Augmented Generation
and
vector search technologies (Pinecone, FAISS, Weaviate, ChromaDB, etc.) .
AI Model Deployment:
Experience with
Docker, Kubernetes, AWS SageMaker, Vertex AI, or similar cloud platforms .
Software Development:
Proficiency in
Python, FastAPI, Flask, or Django
for AI integration.
AI Workflow Automation:
Knowledge of
workflow automation tools (Airflow, Prefect, LangChain, etc.) .
Database Management:
Experience with
SQL, NoSQL, and vector databases .
Preferred Qualifications (Bonus Skills)
Experience in
AI-powered chatbot development .
Familiarity with
MLOps practices
for model versioning and CI/CD.
Knowledge of
fine-tuning open-source models like LLaMA, Falcon, Mistral, etc.
Hands-on experience with
GPU acceleration & model optimization techniques .
Why Join NewtonAI?
Work on cutting-edge
AI-driven corporate training solutions .
Opportunity to
experiment with state-of-the-art AI models .
Collaborative environment with
AI enthusiasts & industry experts .
Freedom to innovate and
shape the future of AI in training & education .
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