Job Summary
We are seeking an energetic and highly skilled Senior AI & Data Engineer to lead the development, deployment, and optimization of advanced artificial intelligence and data solutions. In this role, you will harness the power of big data, machine learning frameworks, and cloud technologies to drive innovative insights and scalable models. Your expertise will help shape our data-driven strategies, improve operational efficiencies, and unlock new opportunities through cutting-edge AI applications. This position offers a dynamic environment where your technical prowess and passion for innovation will make a tangible impact.
Responsibilities
- Design, develop, and maintain scalable data pipelines using ETL tools like Talend, ensuring seamless data flow from diverse sources into centralized repositories.
- Build and optimize machine learning models utilizing frameworks such as TensorFlow, Spark MLlib, and other AI tools for natural language processing, unsupervised learning, and predictive analytics.
- Lead model training sessions, evaluate performance metrics, and implement deployment strategies to ensure models operate efficiently in production environments.
- Collaborate with cross-functional teams to translate business requirements into technical solutions involving database design, big data architecture (Hadoop, Spark), and linked data integration.
- Implement robust data mining techniques to extract actionable insights from complex datasets while ensuring data quality and integrity.
- Manage cloud-based infrastructure on AWS for scalable storage and computing resources supporting AI initiatives.
- Develop comprehensive documentation for data workflows, model architectures, and deployment processes to facilitate transparency and reproducibility.
AI Development
● Build AI asset recognition systems
● Develop valuation models
● Create recommendation engines
● Implement buyer matching algorithms
Data Engineering
● Build data pipelines
● Design marketplace analytics systems
● Create reporting dashboards
● Develop pricing intelligence systems
Machine Learning
● Train and deploy predictive models
● Improve matching accuracy
● Build ranking algorithms
● Optimize marketplace recommendations
Requirements
Required
● 5+ years Machine Learning experience
● Python
● SQL
● Machine Learning frameworks
● Cloud infrastructure experience
Preferred
● Marketplace recommendation systems
● Pricing intelligence models
● Computer vision
● OpenAI API experience
● Logistics optimization experience
Qualifications
- Proven experience as a Data Engineer or AI Engineer with a strong background in machine learning frameworks such as TensorFlow or R.
- Expertise in programming languages including Python, Java, C, Bash (Unix shell), VBA, and SQL for data manipulation and automation tasks.
- Deep understanding of big data technologies like Hadoop, Spark, and related ecosystems for processing large-scale datasets efficiently.
- Hands-on experience with cloud platforms such as AWS for deploying AI models at scale.
- Strong knowledge of database design principles along with proficiency in SQL for querying complex datasets.
- Familiarity with natural language processing techniques and AI model deployment strategies across diverse environments.
- Ability to work with analytics tools like Looker to visualize insights effectively for stakeholders.
- Excellent problem-solving skills combined with a proactive approach to innovation in quantum engineering concepts or emerging AI methodologies. Join us to be at the forefront of technological innovation! Your expertise will empower us to harness the full potential of big data analytics and artificial intelligence—driving impactful solutions that shape the future of our industry.
Pay: From $80,000.00 per year
Work Location: In person
