What we’re looking for

Domain: Machine Learning / Deep Learning / Generative AI / Agentic AI
Framework / Library: scikit-learn, PyTorch, TensorFlow / Keras, Transformers, LangGraph, Hugging Face, RAG / Graph RAG / n8n
Programming Languages: Python (Data Structures & Algorithms), Bash scripting
Optional Language: R / C++
Libraries – Data Engineering: Pandas, NumPy
Libraries – Data Visualization: Matplotlib, Seaborn, Plotly, Power BI, Tableau (any one)
Computer Vision: OpenCV, torchvision, Ultralytics/Yolo
NLP: spaCy, NLTK, sentence-transformers, fastText
Mathematical Foundations: Linear Algebra, Probability, Calculus
Coding Tools: Jupyter Notebook / VSCode / PyCharm / Google Colab (any one)
Version Control: Git, GitHub, Git Commands
Model Storage: Hugging Face
Database: MySQL / PostgreSQL and MongoDB
Vector Database: Pinecone / Faiss / Chroma (any one)
Cloud / MLOps: AWS / GCP / Azure (any one)AWS Skills: S3, RDS, SageMaker, ECS3, EC2, EKS, EMR, Glue, Athena, Lambda
GCP Skills: GCS, GKE, Dataflow, BigQuery, Vertex AI
Azure Skills: ADLS, AKS, Synapse, Azure ML
Containerization / Deployment: Docker, Kubernetes
Agents & Orchestration: LangChain, LlamaIndex, LangGraph, AutoGen, CrewAI, Airflow
API: FastAPI / REST API
Added Advantage: Snowflake, PySpark / Databricks (anyone)

How to apply

Email hr@nexxora.inc with your CV attached and AI/ML Engineer – Lead Level in the subject line.

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