Job Description

AI/ML Engineer – L2 (Senior Level)
Location: Chennai – Ambattur
Job Type: Full-time | Permanent | On-site
Company: Nex Xora Inc.
About Nex Xora Inc.
Company Description
Nex Xora Inc. specializes in the design, development, and manufacturing of cutting-edge
medical products leveraging AI technologies. The company also offers solutions
in drone applications, virtual and augmented reality, metaverse innovations,
and robotics. Nex Xora Inc. provides expertise in software development, cloud
automation, and information technology services while supporting industries
such as healthcare, aviation, automotive, and more. They are committed to
delivering innovative, technology-driven solutions to clients globally, with a
strong focus on transformative technologies like AI, SAP, and advanced software
engineering.
Role Overview
We are looking for an experienced AI/ML Engineer – L2 (Senior Level) to design, develop, and deploy scalable machine learning and generative AI solutions. The ideal candidate will have hands-on experience building production-grade AI systems, working with RAG-based architectures, and deploying models in cloud and containerized environments.
This is an on-site role based in Chennai (Ambattur) and involves close collaboration with cross-functional teams to deliver high-impact AI solutions.
Key Responsibilities
- Design, develop, and optimize AI/ML solutions as a Machine Learning, Deep Learning, or Generative AI Engineer
- Build and manage end-to-end machine learning pipelines using Python and industry-standard frameworks
- Develop and integrate RAG-based applications using Lang Chain
- Deploy, monitor, and maintain AI/ML models on cloud platforms
- Containerize applications using Docker for scalable deployments
- Collaborate with product, engineering, and business teams to deliver robust AI solutions
- Optimize models for performance, scalability, reliability, and production readiness
️ Skills & Qualifications Core Domains
- Machine Learning / Deep Learning / Generative AI
Frameworks & Libraries
- Py Torch or Tensor Flow / Keras
- RAG-based architectures, Lang Chain
Programming
- Python
Data Engineering
- Pandas, Num Py
Data Visualization (Any One)
- Matplotlib, Seaborn, Power BI, Tableau
Computer Vision (Any One)
- Open CV, torchvision, YOLO
OR
Natural Language Processing (NLP)
- spa Cy, NLTK
Mathematical Foundations
- Linear Algebra, Probability
Development Tools
- Jupyter Notebook, VS Code, Py Charm, Google Colab
Version Control
- Git
Databases (Any One)
- My SQL, Postgre SQL, Mongo DB
Cloud & MLOps (Any One)
- AWS / GCP / Azure
Cloud Services (Any One):
- AWS: S3, RDS, Sage Maker, ECS, EC2, EMR, Glue, Lambda
- GCP: GCS, GKE, Dataflow, Big Query, Vertex AI
- Azure: ADLS, AKS, Synapse, Azure ML
Containerization
- Docker
⭐ Added Advantage (Nice to Have)
- Snowflake
- Py Spark / Databricks
Experience Required
- 5–6 years of relevant experience in AI/ML engineering
Education
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field

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