Responsibilities
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: TensorFlow, PyTorch, Scikit-learn
NLP/LLM Tools: Transformers, LangChain, 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
