Generative AI Engineer
- Posted 2 months ago
- Be among the first 20 applicants
Job Description
We are hiring for one of the IT product-based company
Designation: - AI Engineer
Location: - Gurgaon/Pune
Work Mode: Remote
Skills: - Document Intelligence, Generative AI, NLP, Machine Learning, Azure DevOps, Terraform
Domain Experience: - Healthcare
Job Description: -
What you will bring
- Bachelor's degree completed in Computer Science or a related field
- 3+ years of experience with AI, software engineering, MLOps, DevOps, or data engineering, in a professional role
- Experience with document intelligence, generative AI, agentic AI, automation, NLP and machine learning
- Experience with Azure DevOps, CI/CD, Terraform, Python and other scripting languages
- Experience with integrating DevSecOps practices and principles throughout the project life cycle
- Experience with Big Data technologies, cloud-based analytics, non-relational datastores, data visualization tools, and open-source tools for data processing
- Experience with Agile methodologies (Scrum, Kanban) and project management tools such as Jira.
- Travel required: Minimal (a couple of times a year).
What we would like to see
- Experience with Databricks and Azure cloud platforms, machine learning services, and best practices
- Experience in open-source AI/ML tools, frameworks technologies (for example, Meta, HuggingFace, Nemo, TensorFlow, PyTorch, scikit-learn, Apache MXnet, Spark MLlib, etc.)
- Experience with predictive analytics in Healthcare, Insurance or Consumer Credit industry
More Info
Key Skills
data visualization tools
machine learning services
scikit-learn
Azure cloud platforms
open-source tools for data processing
Meta
Spark MLlib
cloud-based analytics
Apache MXnet
HuggingFace
Generative AI
Document Intelligence
non-relational datastores
About Company
Skills:
Pytorch, Python, LangChain, vector search, RAG embeddings, fine-tuning, Hugging Face, model deployment, vLLM, prompt engineering, LangGraph, Ollama, Qwen, Mistral, document indexing, inference optimization, TGI, Llama, OpenAI, quantization, LlamaIndex
Skills:
Azure), Cloud platforms (AWS, Large Language Models (LLMs), Gcp, Python, Api Integration, MLops, System Design, Prompt engineering, Model monitoring, RAG systems, Hugging Face, Claude, Azure OpenAI, Embeddings, Evaluation metrics, Generative AI, OpenAI GPT, Vector databases, Semantic search technologies, Anthropic, Fine-tuning techniques, Deployment pipelines, OpenAI
Skills:
Tensorflow, Nlp, Pytorch, Docker, Python, AWS, Gcp, Azure, Kubernetes, GloVe, Hugging Face, MLflow, Pinecone, MLOps practices, LLM architecture, Word2Vec, RAG pipelines, ChromaDB, fine-tuning techniques, APIs from major AI providers, LangChain, LLM training methodologies, LoRA, QLoRA, sentence transformers, cloud computing platforms
Skills:
Pytorch, Linux, Docker, Python Programming, PEFT, Hugging Face Transformers, open-source LLMs, model routing, prompt engineering, GPU-based inference and optimization, Evaluation, structured extraction, LoRA, NVIDIA GPU infrastructure, reranking, RAG, Generative AI LLMs
Skills:
Deep Learning, Machine Learning, AWS, Cloud Services, Python, Azure, Gcp, AutoGen, NLP Libraries, Lang Chain, Distributed Computing Frameworks, Lang Graph, OpenAI Assistants API