Artificial Intelligence Engineer
Artificial Intelligence Engineer
RecroFresher
- Posted an hour ago
- Be among the first 10 applicants
Job Description
Looking for a with strong experience in ML, Generative AI, data processing, and AI application development.
Work Location: Bengaluru / Coimbatore / Gurugram / Mumbai
Key Responsibilities
- Build and deploy Generative AI/ML solutions, including document detail extraction.
- Perform feature engineering, data processing, augmentation, and transformation.
- Develop and deploy AI models using Python, PyTorch, TensorFlow, and Scikit-learn.
- Implement Prompt Engineering, Context Engineering, and Agentic AI workflows.
- Build interactive applications using Streamlit and APIs using FastAPI.
- Work with Vector Databases and deploy scalable AI solutions using AWS/Azure/GCP, Docker, and Kubernetes.
- Monitor, evaluate, and optimize models for production use cases.
Must-Have Skills
- Generative AI / Machine Learning
- Python
- Prompt & Context Engineering
- AI Agents / Agentic Workflows
- Feature Engineering & Document Extraction
- Vector Databases
- FastAPI & Streamlit
- PyTorch / TensorFlow / Scikit-learn
- Model deployment and cloud exposure
Good to Have
- OpenAI or other LLMs
- Open-source LLMs / SLMs
- AWS / Azure / GCP
- Banking, Finance, CPG, or Supply Chain domain experience
- AI/ML certifications
More Info
Job Type:
Industry:
Employment Type:
Key Skills
Generative AI
Feature Engineering
Model deployment
Document Extraction
Scikit-learn
Context Engineering
Vector Databases
Agentic AI workflows
Streamlit
Prompt Engineering
About Company
Skills:
model selection , Typescript, Python, Human labeling, Video media, AI quality systems, Statistics, Creative software, Model graders, Evaluation datasets, Data evaluation methods, Experiment design, Multimodal AI, Fine-tuning
Skills:
Mapreduce, Tensorflow, Numpy, Pytorch, Docker, XGBoost, AWS, Hadoop, Sql, Pig, Pandas, Hive, Gcp, Spark, Python Programming, Azure, Kubernetes, scikit-learn, Hugging Face Transformers, LLM prompt engineering, vector embeddings, RAG pipelines, semantic search, OpenAI API, knowledge retrieval
Skills:
Pattern Recognition, Context management, schema-driven extraction, LLMs, Attention To Detail, Prompt chaining, zero-shot techniques, JSON structured outputs, Analytical Skills, Problem-Solving Thinking, prompt engineering
Skills:
Gcp, Pytorch, Docker, Webrtc, Python, INT4, TensorRT, RunPod, SGLang, vLLM, FP8, NVFP4, LoRA, QLoRA
Skills:
data engineering , Machine Learning, Sql, Tensorflow, Numpy, Pandas, Pytorch, MLops, Flask, FastAPI, Python, Generative AI