Ai Ml Engineer Senior

Job Title: AI/ML Engineer Senior Level

Location:

We are hiring a Senior AI/ML Engineer to lead projects in Deep Learning, Generative AI, and Agentic AI. The candidate should be experienced in developing advanced ML models, integrating APIs, and deploying solutions in cloud and containerized environments.

Skills Required:

• Domain:

  Machine Learning / Deep Learning / Generative AI / Agentic AI

• Framework / Library:

  scikit-learn, PyTorch or 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 / MongoDB (any one)

• 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:

  LlamaIndex, LangGraph, AutoGen

• API:

  FastAPI / REST API

• Added Advantage:

  Snowflake, PySpark / Databricks (optional)

Experience Required:

5–10 years

Education:

Bachelor’s or Master’s degree in Computer Science, Data Science, or related field

Send your updated resume to jyothi@nexxora.inc