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Senior AI Engineer
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- Posted 8 days ago
- Be among the first 10 applicants
Job Description
We are seeking a talented and driven Senior AI Engineer to join our team and lead the development of cutting-edge AI/ML models and GenAI solutions. This role offers an exciting opportunity to collaborate across functions and create innovative systems that solve real-world business problems.
Responsibilities
Responsibilities
- Build and deploy scalable AI/ML models and GenAI solutions in production
- Design and maintain robust ETL pipelines and data workflows
- Develop LLM-based applications using modern frameworks
- Implement prompt engineering techniques for optimized AI outputs
- Deploy models via APIs and integrate with enterprise applications
- Ensure end-to-end ownership, including development, deployment, monitoring, and optimization
- Collaborate with cross-functional teams to deliver business-driven AI solutions
- 5-8 years of general IT experience
- 5+ years of experience in AI Engineering
- Strong programming skills in Python
- Hands-on experience with ETL and data pipelines
- Experience with ML/DL frameworks: TensorFlow, PyTorch, Scikit-learn
- Experience in prompt engineering and working with LLMs
- Familiarity with LLM frameworks: LangChain, LlamaIndex, Hugging Face
- Cloud experience working with Azure, AWS, or GCP
- Experience with MLOps tools such as MLflow, Kubeflow, and Airflow
- Strong experience in API development and model deployment
- English level of minimum B2 (Upper-Intermediate) for effective communication
- Experience with RAG architectures and vector databases
- Knowledge of real-time or streaming data pipelines
- Exposure to scalable system design and microservices architecture
- Familiarity with Databricks and PySpark
- Experience with cloud data solutions and ETL pipelines
More Info
Job Type:
Industry:
Employment Type:
Key Skills
LangChain
Prompt engineering
Model deployment
Scikit-learn
Hugging Face
MLflow
Kubeflow
MLOps tools
LLM frameworks
Data workflows
LlamaIndex
ETL pipelines
About Company
Skills:
Tensorflow, Numpy, Pytorch, Docker, Dicom, Python, AWS, Pytest, Gcp, Opencv, Keras, FastAPI, Azure, Kubernetes, scikit-learn, Segmentation, TensorRT, MLflow, CI CD, CNNs, ONNX, Classical ML, Vision Transformers, nnU-Net, Weights Biases, Calibration, NIfTI, Clinical Metrics, MONAI, Detection
Skills:
Sqlalchemy, API security, PostgreSQL, Rabbitmq, Sqlite, Flask, FastAPI, Python, LangChain, Django ORM, AI ML development, document extraction, langFuse, large-scale RAG systems, Cloud Data Warehouses, OCR pipelines, LangGraph, RAG methodologies, langSmith, Java Spring Boot, fine-tuning LLMs
Skills:
data masking , snowflake , Kafka, Encryption, ELT, Data Quality, Azure Data Factory, Terraform, Azure Data Lake, Databricks, Data Security, Etl, Airflow, Audit Logging, CI CD, PBAC, DataOps, rbac, dbt, Event Hubs, ABAC, Infrastructure-as-Code
Skills:
Generative AI and Large Language Models (LLMs), Microsoft Azure, FastAPI, Python, Azure OpenAI AI services, RAG embeddings vector semantic search and prompt engineering, Authentication and API security concepts, REST API design and integration, Docker and containerised application deployment, Git and version control, SQL and relational databases, Application debugging logging and troubleshooting
Skills:
AWS, FastAPI, Python, Kubernetes, Docker, EKS