Do you want to build real AI products that are used in production, not just experiments and PoCs?

We are expanding our AI Engineering practice and are looking for an Artificial Intelligence Engineer to design, build and deploy scalable AI solutions that power intelligent applications, automation platforms and AI copilots used by global clients.

You will work on NLP, computer vision, recommender systems, predictive analytics and generative AI platforms, collaborating with data scientists, software engineers and product teams.

What you will do

Design, build and deploy machine learning and deep learning models

Develop NLP, computer vision, recommender and predictive analytics pipelines

Build and integrate generative AI and LLM-based services

Deploy AI models on AWS, Azure or GCP in scalable production environments

Build CI/CD and MLOps pipelines for continuous training, deployment and monitoring

Optimize models for real-time, batch and edge processing

Monitor production models and continuously improve performance

Ensure ethical, explainable and responsible AI practices

Your tech stack

Python (PyTorch, TensorFlow, Scikit-Learn)

LLMs, GenAI, RAG pipelines

Spark, Kafka, Databricks

SQL / NoSQL databases

MLflow, Airflow, Kubeflow

Docker, Kubernetes, Terraform

AWS, Azure or GCP

What we are looking for

Strong hands-on AI / ML engineering experience

Experience deploying production-grade AI systems

Cloud-native mindset

Strong problem-solving and communication skills

Nice to have: Edge AI, IoT, robotics, NLP/CV specialization, open-source contributions.

Why join us

Build real AI products, not PoCs

Work on large-scale enterprise AI platforms

Remote-first and flexible culture

Continuous learning budget and certifications

Competitive compensation and clear growth path

📩 Apply now and help us build the next generation of enterprise AI platforms

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