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AI Machine Learning Engineers
2 months ago
We are seeking a highly skilled and passionate AI/ML Engineer to join our innovative team and contribute to the development of cutting-edge AI-powered solutions that transform industries.
Key Responsibilities:- Design and Develop AI/ML Models: Lead the design and development of AI/ML models and algorithms for early-stage proof-of-concepts (POCs) and minimum viable products (MVPs).
- Collaborate with Cross-Functional Teams: Work closely with product managers, data scientists, and developers to gather requirements and define AI solution feasibility.
- Rapid Prototyping: Quickly prototype machine learning models to validate technical assumptions and hypotheses.
- Data Preparation: Perform data collection, cleaning, preprocessing, and feature engineering for POC-level experimentation.
- Model Deployment: Deploy and integrate POCs into simple but functional MVPs for real-world testing.
- Model Refining: Continuously refine models based on feedback from MVP testing and user interaction.
- Technological Advancements: Stay up-to-date with advancements in AI/ML techniques, tools, and frameworks, applying them to accelerate POC and MVP development.
- Scalability and Efficiency: Ensure scalability, efficiency, and deployment-readiness of models as they transition from POC to MVP and beyond.
- Technical Documentation: Provide clear technical documentation and communicate progress and challenges to stakeholders.
- Education: Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or related field.
- Experience: Experience developing AI/ML models for POCs and/or MVPs.
- Technical Skills: Strong proficiency in Python and machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Cloud Platforms: Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) for deploying POCs and MVPs.
- Collaboration Tools: Proven ability to work in a fast-paced environment and handle evolving requirements.
- Version Control: Experience with version control (e.g., GitHub, GitLab) and collaboration tools.
- Competitive Compensation: Competitive salary and comprehensive benefits.
- Opportunities for Growth: Opportunities to work on pioneering AI projects with real-world impact.
- Collaborative Environment: A collaborative and flexible work environment focused on innovation.
- Professional Development: Professional growth opportunities in AI/ML product development.
- Early-Stage Solutions: The chance to shape early-stage AI solutions from concept to functional products.