Machine Learning Engineer

February 8

🍂 Massachusetts – Remote

Although this job is listed in Massachusetts, this company may be open to hiring remote in other states.

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

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Givzey

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Givzey is a platform that offers intelligent solutions for the fundraising process, including smart gift agreements, dynamic workflows, automated pledge reminders, and intelligent invoicing. The company aims to streamline and scale multi-year giving and one-time gifts, enhancing the donor experience while providing tools for fundraising teams to improve efficiency. Givzey is utilized by educational institutions and other organizations to secure and manage donations effectively.

2 - 10 employees

💸 Finance

🤝 Non-profit

☁️ SaaS

📋 Description

• We're looking for a talented and motivated Machine Learning Engineer to join our team and help develop cutting-edge AI solutions. • In this role, you'll have the opportunity to shape and create our machine learning capabilities from the ground up. • You'll be at the forefront of innovation, designing and implementing ML systems that drive our business forward. • Responsibilities: Design, develop, and implement machine learning models and algorithms. • Analyze large datasets and extract meaningful insights. • Collaborate with cross-functional teams to integrate ML solutions into existing systems. • Optimize ML models for performance and scalability. • Stay current with the latest advancements in machine learning and AI. • Create and implement big data processing pipelines and architectures. • Design and build scalable data infrastructure to support ML applications. • What you’ll do day-to-day: Be a member of a world-class team focused on inventing solutions that have the ability to impact the world. • Tackle a wide variety of technical problems throughout the stack and contribute daily to all parts of our product code base. • Help build a beautiful, intuitive product that revolutionizes the nonprofit industry. • Work closely with our customers, founders, team members and Board to understand customer pain points, develop solutions, and prototype, iterate, and deploy code on regular cycles.

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, or related field • 3+ years of experience in machine learning or AI development • Strong proficiency in Python and its ML/data science libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas) • Solid understanding of machine learning algorithms and statistical modeling • Experience with big data technologies (e.g., Hadoop, Spark, Kafka) • Proven ability to create and implement big data solutions from scratch • Comfortable setting up and managing distributed computing environments • Experience in designing and implementing data pipelines for large-scale data processing • Proficient in working with various database systems, both SQL and NoSQL, depending on the use case • Strong skills in data modeling and database design for machine learning applications • Excellent problem-solving and analytical skills • Strong communication skills and ability to work in a team environment • Experience in creating and managing real-time data streaming architectures • AWS Certified Machine Learning - Specialty or AWS Certified Big Data - Specialty • Experience with AWS machine learning services • Proficiency in using AWS big data services • Knowledge of serverless architectures on AWS (e.g., Lambda) • Experience in creating and managing real-time data streaming architectures on AWS (e.g., Kinesis) • Understanding of AWS security best practices for machine learning and data processing workflows