AI Engineer
AI Engineer in Hyderabad (onsite) with 5–6 years' IT experience who builds ML and LLM-powered solutions end to end: Python APIs, large-scale data/ETL pipelines, model training and deployment (TensorFlow, PyTorch, MLflow), and LLM tooling (LangChain, Hugging Face) on Azure/AWS/GCP with Databricks, PySpark, and Airflow.
- Compensation
- Not disclosed
- Location
- Hyderabad, India
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 4+ years
- Category
- Ai engineering
- Posted
Skills
Must have
- 5–6 years of overall IT experience
- 4+ years of hands-on experience in AI Engineering, Machine Learning, or Data Engineering
- Strong Python programming skills including OOP, API development, automation, and data processing
- Strong experience in Data Engineering, data modeling, ETL/ELT processes, and large-scale data pipelines
- Hands-on experience with ETL tools and data workflows
- Strong SQL skills and experience with relational and cloud data platforms
- Hands-on experience with TensorFlow, PyTorch, and Scikit-learn
- Experience working with LLMs and prompt engineering
- Experience with Azure, AWS, or GCP
- Experience with Databricks, PySpark, and distributed data processing frameworks
- Experience with MLflow, Kubeflow, and Airflow
- Strong experience in API development, model deployment, and production support
- B2-level English proficiency or higher
Nice to have
- Familiarity with LangChain, LlamaIndex, and Hugging Face
Full description
5–6 years of overall IT experience.
· 4+ years of hands-on experience in AI Engineering, Machine Learning, or Data Engineering.
· Strong Python programming skills including OOP, API development, automation, and data processing.
· Strong experience in Data Engineering, data modeling, ETL/ELT processes, and large-scale data pipelines.
· Hands-on experience with ETL tools and data workflows.
· Strong SQL skills and experience with relational and cloud data platforms.
· Hands-on experience with TensorFlow, PyTorch, and Scikit-learn.
· Experience working with LLMs and prompt engineering.
· Familiarity with Lang Chain, Llama Index, and Hugging Face.
· Experience with Azure, AWS, or GCP.
· Experience with Databricks, PySpark, and distributed data processing frameworks.
· Experience with MLflow, Kubeflow, and Airflow.
· Strong experience in API development, model deployment, and production support.
· B2-level English proficiency or higher.