Engineering Manager, Applied AI – Machine Learning Engineering

🔥 3 hours ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

SPD Technology

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2006

💳 Fintech

🤖 Artificial Intelligence

🤝 B2B

Fintech • Artificial Intelligence • B2B

SPD Technology is a global software product development company that delivers custom digital platforms, cloud and DevOps, AI/ML, and fintech/payment solutions. They specialize in application modernization, data analytics and engineering, system integration and APIs, security and quality engineering, and mobile/web UX/UI development. SPD works as a B2B partner for enterprise and growth-stage clients (notable customers cited include PitchBook and Poynt), focusing on building payment systems, billing and fraud-detection software, data platforms, and AI-enabled products for industries such as fintech, insurance, healthcare, and e-commerce.

📋 Description

• Play a vital role in executing the company’s AI and machine learning initiatives • Focus on generating and delivering insights from PitchBook’s wealth of structured data and unstructured text • Design, develop, and maintain AI & ML models, solutions, architecture, and services • Provide strong technical direction and problem-solve complex technical challenges • Ensure high-quality, scalable solutions from the team • Oversee the end-to-end lifecycle of AI/ML data systems—from research and development to deployment and operationalization • Mentor team members and foster a culture of innovation and collaboration • Collaborate with cross-departmental stakeholders and ensure alignment with business goals • Drive impactful change in a fast-paced, dynamic environment

🎯 Requirements

• M.S. in Computer Science, Data Science, Machine Learning, Software Engineering, or related • 7+ years in engineering or data science roles with a machine learning focus • 3+ years in an engineering leadership role with direct management responsibilities of at least 5 people • 3+ years hands-on coding and delivering large-scale ML models and systems as a Machine Learning Engineer or Data Scientist. Natural language processing (NLP) experience a must • Extensive experience with Python and associated ML libraries such as pandas, scikit-learn, keras, and PyTorch. Strong SQL knowledge is a must • Experience owning machine learning services that are provided 'as a service' to other teams as part of a large-scale distributed microservices architecture • Experience with data pipelines, data platforms, and data lake/warehouse technologies, such as Apache Kafka, Amazon SNS/SQS/Kinesis, Apache Airflow, Spark, AWS Glue, GCP Cloud Dataflow, Snowflake • Experience with containerization technologies, including Kubernetes and Docker, and understanding how to build cloud-scale delivery, including scalability, resiliency, and recoverability • Has successfully delivered on large technical initiatives from scoping to launch, with a strong metrics focus • Excellent communication skills, written and verbal • English — Upper Intermediate or higher; Ukrainian — fluent

🏖️ Benefits

• Flexible schedule with participation in team ceremonies and cross-functional collaboration • Performance and merit reviews • Personal development plans • Corporate library access • Public speaking support • Referral bonus program