Requirements:
- Bachelors degree in Computer Science Artificial Intelligence.
- 4-6 years of experience in backend engineering AI/ML engineering or related roles.
- Strong expertise in Python FastAPI and backend API development.
- Hands-on experience with PyTorch TensorFlow PyTorch Lightning and ML model deployment.
- Proficiency in LLM integration prompt engineering NLP and computer vision.
- Strong SQL skills with experience in PostgreSQL and distributed data systems.
- Experience with Databricks and PySpark for large-scale data processing.
- Proficiency with AWS (S3 EC2) Docker Linux and CI/CD pipelines.
- Familiarity with Git Redis Hugging Face OpenPose and LiveKit.
- Strong analytical debugging and communication skills.
Responsibilities:
- Develop and maintain backend services and APIs using Python and FastAPI.
- Integrate LLMs (OpenAI Anthropic APIs) perform prompt engineering and build AI-driven workflows.
- Implement and optimize machine learning pipelines using PyTorch TensorFlow PyTorch Lightning.
- Work on computer vision NLP and model fine-tuning tasks.
- Build and manage distributed data processing workflows using PySpark and Databricks.
- Design manage and optimize SQL/PostgreSQL databases.
- Deploy and manage cloud services using AWS (S3 EC2) and Docker containers.
- Implement CI/CD pipelines using GitHub Actions or GitLab.
- Work with tools such as Git Redis Hugging Face OpenPose and LiveKit.
- Collaborate with cross-functional teams and ensure high-quality documentation.
Requirements: Bachelors degree in Computer Science Artificial Intelligence. 4-6 years of experience in backend engineering AI/ML engineering or related roles.Strong expertise in Python FastAPI and backend API development.Hands-on experience with PyTorch TensorFlow PyTorch Lightning and ML model depl...
Requirements:
- Bachelors degree in Computer Science Artificial Intelligence.
- 4-6 years of experience in backend engineering AI/ML engineering or related roles.
- Strong expertise in Python FastAPI and backend API development.
- Hands-on experience with PyTorch TensorFlow PyTorch Lightning and ML model deployment.
- Proficiency in LLM integration prompt engineering NLP and computer vision.
- Strong SQL skills with experience in PostgreSQL and distributed data systems.
- Experience with Databricks and PySpark for large-scale data processing.
- Proficiency with AWS (S3 EC2) Docker Linux and CI/CD pipelines.
- Familiarity with Git Redis Hugging Face OpenPose and LiveKit.
- Strong analytical debugging and communication skills.
Responsibilities:
- Develop and maintain backend services and APIs using Python and FastAPI.
- Integrate LLMs (OpenAI Anthropic APIs) perform prompt engineering and build AI-driven workflows.
- Implement and optimize machine learning pipelines using PyTorch TensorFlow PyTorch Lightning.
- Work on computer vision NLP and model fine-tuning tasks.
- Build and manage distributed data processing workflows using PySpark and Databricks.
- Design manage and optimize SQL/PostgreSQL databases.
- Deploy and manage cloud services using AWS (S3 EC2) and Docker containers.
- Implement CI/CD pipelines using GitHub Actions or GitLab.
- Work with tools such as Git Redis Hugging Face OpenPose and LiveKit.
- Collaborate with cross-functional teams and ensure high-quality documentation.
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