Sr. Machine Learning Engineer

W2 Contract 6 Months

Remote, USA

$90/hr + Benefits, PTO, Paid Holidays

As a Data / ML Engineer, you'll work alongside our Digital Marketing platform team, dedicated to addressing our evolving data-driven marketing and compliance challenges. We value expertise in data science paired with a robust data engineering foundation. Together, we'll architect data pipelines, delve into advanced data analysis, and craft models using ML/AI. We seek someone proficient in programming and scripting for comprehensive data manipulation, analysis, and model creation. We thrive on working with Big Data technologies like Hadoop, Spark, and NoSQL databases, efficiently processing vast datasets. If you share a passion for innovation and creating exceptional experiences through the integration and management of large data sets, then you're the one we've been searching for! We believe in proactive problem-solving, minimal supervision, and being exceptional teammates who collaborate, think, and learn as one unit.

What you’ll be doing:

• Develop and implement ML models: Design, develop, and deploy scalable machine learning models and algorithms that address complex business challenges in the marketing and business domain (e.g. build recommendation models for NVIDIA website).
• Improve existing recommendation systems, experiment with new directions and provide ML solutions in recommendation systems within NVIDIA.
• Build models and algorithms to understand user interest, user intent, and improve content relevancy.
• Responsible for end-to-end design and development, starting from requirements gathering with business and engineering partners to deployment to product systems using Agile development methodology.
• Architect solutions for complex data platforms, and large scale CI/CD data pipelines using a variety of technologies, relational and non-relational databases, and data warehouse solutions for data-driven marketing and compliance requirements.
• Data pre-processing and analysis: Collaborate with data scientists and data engineers to collect, clean, pre-process, and transform large and wide datasets. Conduct exploratory data analysis (EDA) to uncover insights and identify patterns that boost the model performance.

What we need to see:

• Bachelor’s Degree in Computer Science or related field or equivalent experience.
• Expertise as a Machine Learning Engineer or a similar role, with a consistent record of successfully delivering ML solutions.
• Working SQL knowledge and experience working with relational / non-relational databases, schema design, and excellent SQL troubleshooting skills working with large datasets.
• Strong programming skills in languages such as Python, Golang, R, or Java. Experience with frameworks like TensorFlow, PyTorch, or scikit-learn.
• Proficiency in data manipulation, analysis, and visualization using tools like NumPy, pandas, and matplotlib.
• Deep understanding of machine learning algorithms, statistical models, and data structures.
• Familiarity with software development practices and version control systems (e.g., Git).
• Ability to run with experimental design, A/B testing, and evaluation metrics for ML models.
• Ways to stand out from the crowd:
• Experience deploying recommender systems into production at scale across a range of models and platforms.
• First-hand experience deploying and maintaining deep learning systems and services in production at scale.
• Demonstrated skills with large language models and natural language processing.
• Self-motivated with a goal to stay updated on the latest methodologies and machine learning technologies.