
Machine Learning Specialist
24 hours ago
AI Engineer - Machine Learning Specialist
As an experienced AI engineer, you will play a key role in the design, development, and implementation of large-scale machine learning applications. You will collaborate with leaders, business analysts, project managers, IT architects, technical leads, and other engineers to understand requirements and develop needs for AI solutions.
You will be responsible for maintaining and enhancing existing enterprise services, applications, and platforms using domain driven design and test-driven development. Additionally, you will troubleshoot and debug complex issues, identify and implement solutions, create detailed project specifications, requirements, and estimates.
You will research and implement new AI technologies to enhance current processes, security, and performance. You will work closely with data scientists and product teams to build and deploy AI solutions, focusing on the technical aspects of AI deployment & associated resources.
Key responsibilities include:
- Maintaining and enhancing existing enterprise services, applications, and platforms.
- Troubleshooting and debugging complex issues.
- Researching and implementing new AI technologies.
- Working closely with data scientists and product teams.
- Implementing and optimizing Python-based ML pipelines.
- Monitoring model performance and implementing strategies for bias mitigation and explainability.
- Collaborating with software engineers to integrate models into applications.
Required Skills and Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, Data Science, Information Systems or related technical discipline.
- 3+ years of full AI Software Development Life Cycle (SDLC) experience designing, developing, and implementing large-scale machine learning applications in hosted production environments.
- Proficiency in object-oriented design techniques and principles.
Preferred Qualifications
- Master's degree in Computer Science, Computer Engineering, Data Science, Information Systems or related technical discipline.
- 5 years of full AI Software Development Life Cycle (SDLC) experience designing, developing, and implementing large-scale machine learning applications.
Skills, Licenses, and Certifications
- Python
- Databricks
- Azure AI Foundry services
- Database and persistence frameworks
- Cloud-based development: Microsoft Azure, AWS
- Web Servers
- Web Services
- AI/ML Frameworks
- MLOps Tools
- Build/deployment tools
- Other DevOps Toolchain
- Strong understanding of GEN AI & NLP concepts
- Knowledge of VectorDatabases and retrieval-augmented generation strategies
- Familiarity with data pipelines, ETL, and distributed computing frameworks
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