What are the responsibilities and job description for the Urgent Needed - AI/ML Engineer - Atlanta, GA position at SATCON Inc?
Job Details
Hi,
Our Client is looking for AI/ML Engineer for multiple locations. If you are looking for a job change, please let me know.
AI/ML Engineer
Atlanta, GA
24 Months
Job Description
Al/ML Application Development
Develop end-to-end Al/ML applications using Python, leveraging Azure Al services and AWS Al services for practical business use cases.
Implement and fine-tune machine learning models using Azure Machine Learning and Amazon SageMaker, integrating frameworks like TensorFlow and PyTorch.
Build natural language processing applications using Azure Al Language, Amazon Comprehend, and Hugging Face transformers.
Create solutions using Azure OpenAl Service, Amazon Bedrock, Azure Cognitive Services, and AWS Al services for computer vision and speech recognition.
Data Processing and Analysis
Develop date processing pipelines using Azure Data Factory, AWS Glue, and PySpark for large-scale data preparation.
Implement ETL processes using Azure Synapse Analytics and AS Glue to prepare data for Al/ML workloads.
Utilize pandas, NumPy, and Azure Databricks or Amazon EMR for data manipulation and exploratory data analysis.
API Development and Microservices
Design and implement RESTful APIs using Azure Functions or AWS Lambda with Python frameworks like Flask or FastAPl.
Develop serverless Al-driven microservices using Azure Container Apps or AWS Fargate.
Create scalable API architectures using Azure API Management or Amazon API Gateway for Al applications.
Containerization
Containerize Al/ML applications using Docker for deployment on Azure Kubernetes Service (AKS) or Amazon Elastic Kubernetes Service (EKS).
Write Dockerfiles and compose configurations for Al/ML services deployable on Azure Container Instances or Amazon Elastic Container Service (ECS).
MLOps Practices
Implement model versioning and experiment tracking using Azure ML or Amazon SageMaker MLflow integrations.
- Develop strategies for model monitoring using Azure Monitor or Amazon CloudWatch.
Monitoring and Observability
Implement logging and monitoring for Al applications using Azure Application Insights or AWS CloudWatch.
Develop custom metrics for Al model performance monitoring using Azure Monitor or Amazon CloudWatch custom metrics.
Create dashboards for visualizing Al application performance using Azure Dashboards or Amazon
QuickSight.
Security implementation
Implement encryption mechanisms using Azure Key Vault or AWS Key Management Service.
Apply secure coding practices and perform security reviews using Azure Security Center or Amazon inspector.
Implement security best practices for Al/ML workloads on Azure and AWS platforms.
Qualifications:
Strong proficiency in Pytfion programming with experience in Al/ML libraries and cloud-based Al services.
Hands-on experience developing production-ready Al/ML applications on Azure and AWS.
Expertise in data processing using cloud-native ETL services and Python data analysis libraries.
Proficiency in containerization and orchestration using Docker, AKS, and EKS.
Experience with serverless API development using Azure Functions and AWS Lambda.
Strong understanding of MLOps practices and cloud-based ML platforms.
Familiarity with Azure Al and AWS Al services for various Al capabilities.
- Exoellent problem-solving skills and ability to translate business requirements into cloud-native Al solutions.
Strong communication skills for cross-functional collaboration and stakeholder management.
Bachelor's or Master's degree in Computer Science, Data Science, or related field, or equivalent practical experience.
