AI Engineer

AI Engineer

Must Have Technical/Functional Skills

Looking for an experienced AI Engineer (6-8 years) to design, develop, and deploy cutting-edge AI/ML solutions. The ideal candidate will have strong experience in machine learning, deep learning, data engineering, and building scalable AI systems for real-world applications.

Responsibilities:

* Build and optimize ML/Deep Learning models for NLP, CV, and predictive analytics.

* Develop end to end AI pipelines including training, deployment, and monitoring.

* Deploy models using Docker/Kubernetes and cloud platforms (Azure/AWS/GCP).

* Work with large datasets and build data pipelines using Python, SQL, and Spark/Databricks.

* Implement MLOps practices (CI/CD, model tracking, monitoring).

* Collaborate with cross functional teams to translate business needs into AI solutions.

Technical Skills

* Programming

Languages:

Python (strong expertise), SQL

* ML/DL Frameworks:
Tensor Flow, PyTorch, Scikit-learn

* NLP/LLM Tools:
Transformers, Lang Chain, OpenAI APIs

* Cloud Platforms:
Azure/AWS/GCP (at least one required)

* MLOps: MLflow, Kubernetes, Docker, Git

* Big Data Tools:
Spark, Hive, Databricks (preferred)

Experience

* 4-6 years of experience in AI/ML engineering roles.

* End-to-end experience from data preparation to model deployment.

* Building scalable production grade AI solutions.

Salary Range- $85,000-$105,000 a year

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