EBSCO Information Services (EBSCO) delivers a fully optimized research experience, seamlessly integrated with a powerful discovery platform to support the information needs and maximize the research experience of our end-users. Headquartered in Ipswich, MA, EBSCO employs more than 2,700 people worldwide, with most embracing hybrid or remote work models. As an AI-enabled service leader, we thrive on innovation, forward-thinking strategies, and the dedication of our exceptional team. At EBSCO, we’re driven to inspire, empower and support research. Our mission is to transform lives by providing reliable and relevant information — when, where and how people need it. We’re seeking dynamic, creative individuals whose diverse perspectives will help us achieve this global, inclusive mission. Join us to help make an impact. Your Opportunity As a Senior ML Ops Engineer 1, you will play a key role in designing, building, and maintaining production-grade machine learning (ML) pipelines and infrastructure within our AWS-based data lakehouse ecosystem. Working alongside data engineers, data scientists, and DevSecOps teams, you will operationalize ML models and ensure the reliability, security, and scalability of the ML lifecycle—from data ingestion through training, deployment, and monitoring. You will help shape the ML Ops framework, contribute to automation that accelerates delivery, and ensure alignment with established platform Non-Functional Requirements (NFRs). This is a highly collaborative, hands-on engineering role requiring a deep understanding of AWS services, automation, and ML workflow orchestration. This position is remote and operates within a distributed agile environment. What You'll Do - Design, build, and maintain ML Ops pipelines supporting model training, validation, and deployment across AWS environments. - Implement automation for model packaging, testing, deployment, and monitoring using CI/CD best practices. - Collaborate with data engineers and data scientists to operationalize ML workloads within the data lakehouse ecosystem. - Develop and maintain integrations between data ingestion, feature stores, and model repositories. - Apply infrastructure-as-code (Terraform, AWS CDK, CloudFormation) to automate ML pipeline infrastructure. - Implement and manage model versioning, reproducibility, and lineage tracking using tools such as MLflow or SageMaker Model Registry. - Define and automate monitoring, alerting, and retraining strategies for deployed models. - Ensure all ML infrastructure and pipelines meet enterprise security, compliance, and governance standards. - Participate in code reviews, knowledge sharing, and continuous improvement of ML Ops practices. - Mentor junior engineers and contribute to documentation, standards, and best practices for ML Ops across teams. Your Team: This role is part of the Data & AI organization, focusing on the operationalization of ML models and pipelines within AWS. Areas of specialty include: - ML pipeline automation and orchestration - Model versioning, governance, and observability - Feature store integration and reproducibility - Secure, compliant, and scalable ML infrastructure - Continuous improvement of ML lifecycle automation About You - Bachelor's Degree in Computer Science, Data Engineering, or a related technical field or equivalent experience. - 4+ years of professional experience in software, data, or ML engineering. - 2+ years of direct experience implementing and maintaining ML pipelines in production. - Strong proficiency in Python and familiarity with ML frameworks such as PyTorch, TensorFlow, or Scikit-learn. - Hands-on experience with AWS services (SageMaker, Step Functions, Lambda, ECR, S3, Glue, IAM). - Solid understanding of CI/CD, containerization (Docker) - Experience with building CI/CD pipelines (Jenkins, Github Actions, etc.). - Experience with infrastructure-as-code and automation (Terraform, AWS CDK, or CloudFormation). - Strong understanding of data pipelines, ETL/ELT concepts, and feature engineering in a lakehouse environment. - Proven ability to apply software engineering practices to machine learning workflows. - Strong communication and collaboration skills across multidisciplinary teams. What sets you apart: - Experience with feature stores, data catalogs, and metadata management. - Familiarity with model governance and compliance frameworks. - Experience with model monitoring and drift detection tools (CloudWatch, or custom solutions). - Understanding of data lakehouse technologies such as Apache Iceberg or Delta Lake. - Contributions to open-source ML Ops or DevOps tooling. - Experience in Agile development environments and cross-functional collaboration. Pay Range USD $120,120.00 - USD $171,600.00 /Yr.

• Build and deploy NLP models to analyze news, social media (Twitter/X, Discord), and Reddit to gauge market sentiment for stocks and crypto assets. • Develop systems to identify and extract entities (tickers, company names, wallet addresses, transaction IDs) from unstructured financial documents and chat logs. • Create pipelines to parse and extract data from financial statements, whitepapers, and regulatory filings (e.g., SEC filings) to assist in automated research. • Implement NLP techniques to analyze transaction metadata and communication patterns to identify potential money laundering (AML) or fraudulent payment activity. • Build or fine-tune LLMs (Large Language Models) to power specialized chatbots capable of answering complex queries about portfolio performance, crypto protocols, or trading rules. • Optimize internal search engines using semantic search and embeddings to help users find relevant financial instruments or transaction history. • Manage the full MLOps lifecycle, including data labeling for financial jargon, model training, deployment via APIs, and monitoring for "model drift" in volatile markets.

• Design, train, and ship machine learning models that power recommendations on the Now Playing View for hundreds of millions of users • Own ranking systems end-to-end, from experimentation and training pipelines to online serving and monitoring • Build and iterate on generative and agentic ML approaches to improve session steering and cross-content discovery • Work in an AI-native development environment, using AI tools to accelerate development while applying strong engineering judgment • Run A/B experiments, define success metrics, and translate improvements into measurable user impact • Collaborate closely with engineers, data scientists, researchers, and product managers to bring ideas into production • Shape the ML roadmap by identifying high-impact opportunities and mentor teammates

Company Description Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee, whether a team member of Etsy or Depop, you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human. Salary Range: $245,000.00 - $319,000.00 What’s the role? We are looking for a Senior Staff Software Engineer, Machine Learning to be a pivotal technical leader in architecting the next generation of AI/ML models and systems that connect buyers and sellers across Etsy's platform. In this highly influential role, you will define and lead the technical strategy for our core AI/ML solutions in Search, Recommendations, and Ads. You will apply state-of-the-art techniques, including hybrid retrieval, multi-tasking deep learning, Generative Recommendations, and Agentic shopping experiences to create a cohesive, highly personalized customer journey for over 85 million buyers and over 5 million sellers. Do you have a passion for designing and implementing strategies for a holistic AI/ML ecosystem? Are you excited by the challenge of leading research initiatives and building advanced algorithms at a global scale? Are you motivated to mentor engineers and shape the future state of the industry? If so, this could be the perfect match. This opportunity is a full-time position reporting to the engineering leadership within Search, Recommendations, and Ads. This position will be in Brooklyn, NY or for remote candidates based in the United States. Etsy is one of the largest global marketplace platforms in the world, and offers three work modes to meet our team's various needs and preferences: Flex mode for candidates who are comfortable traveling to an office location 4+ times per month, Remote mode, and Office-based mode. Learn more about our flexible work modes and vaccination policy here. What’s this team like at Etsy? The Search, Recommendations, and Ads organization is at the heart of Etsy’s marketplace, responsible for the algorithms that power discovery and connection. We are a team of researchers, engineers, and data scientists dedicated to solving the complex problems of matching unique, handmade items with the right buyers. Our technical environment is evolving rapidly. We are moving toward more sophisticated generative and agentic experiences, requiring a blend of deep research and robust software engineering. We focus on mid-to-long-term research topics while ensuring our models remain high-performance and scalable. We are proud of our engineering culture that encourages career growth and learning in a blameless environment. You can learn more about our philosophies, tools, and some of the challenges we’ve been solving on our Engineering blog. What does the day-to-day look like? - Identify customer problems and opportunities; lead teams to research, architect, design, and operationalize AI/ML solutions. - Collaborate closely with cross-functional leaders to define and execute a compelling product and technical roadmap for ML solutions. - Drive cross-functional technical alignment and execution across various engineering teams. - Lead R&D in advanced AI, with a major focus on mid/long-term research topics that push the boundaries of the industry. - Provide technical leadership and mentorship to grow the skills and capabilities of engineers across the entire organization. - Apply a disciplined, data-driven approach to technical decision-making and experimentation. Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law. Qualities that will help you thrive are: - 10+ years of progressive experience in ML and AI, with a proud track record of building large-scale, high-performance models and systems. - Deep experience with the end-to-end development lifecycle of ML/AI, focusing on both large-scale model training and serving. - A foundational and practical understanding of machine learning principles and the critical steps required to successfully productionize models at scale. - Proficiency with modern data processing frameworks (e.g., Spark, Beam, Hadoop) and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). - Exceptional ability to define and solve highly ambiguous or unconstrained technical problems, knowing when to strategically seek assistance. - A proven track record of successfully collaborating with engineers, leaders, and product managers to drive complex projects to completion. - A demonstrated commitment to supporting and mentoring other engineers, elevating the technical capability of the organization. Additional Information What's Next If you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. As we hope you've seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So tell us what you're all about. Our Promise At Etsy, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status, or any other characteristic protected by applicable law. If, due to a disability, you need an accommodation during any part of the application or interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.