• Design and implement pipelines for training, evaluating, deploying, and monitoring retrieval models • Work closely with ML Scientists to productionise recommendation models, improving reliability, latency, and observability • Build and optimise embedding generation and recommendations serving • Partner with backend and product teams to define integration requirements and coordinate deployments of recommendation services • Help extend the recommendations ML infrastructure in collaboration with MLOps, including: • Reproducible training workflows • CI/CD for model deployment • Real-time and batch model serving • Online/offline feature consistency • Monitoring and alerting • Maintain high standards for operational excellence, testing, and incident response • Contribute to a strong engineering culture focused on scalability, experimentation, and measurable impact

• Design and implement pipelines for training, evaluating, deploying, and monitoring learning-to-rank models. • Work closely with ML Scientists to productionise ranking models, improving reliability, latency, and observability. • Build and optimise real-time model serving systems that deliver personalised rankings across the app. • Partner with backend and product teams to define integration requirements and coordinate deployment of ranking services. • Help extend the ML infrastructure for ranking systems in collaboration with the MLOps team, including: • Reproducible model training workflows • CI/CD pipelines for model deployment • Real-time and batch model serving • Online/offline feature consistency through the feature store • Monitoring and alerting for production models • Maintain high standards for operational excellence, including testing, monitoring, maintenance, and incident response. • Contribute to a strong engineering culture focused on scalability, experimentation, and measurable impact.

Role - Spark Engineer Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge distributed data processing technologies to build scalable, high-performance analytics platforms. As we continue to grow, we’re looking for a skilled Spark Engineer to join our dynamic team and contribute to our mission of transforming business processes through technology. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. We are looking for OPT/CPT/H4 EAD/TN/E3 or any other Non-immigrant visa people who are looking for an H1B sponsorship for the year 2027 quota. Company: Bright Vision Technologies ( www.bvteck.com ) Job Title: Spark Engineer Onsite/Hybrid: Remote FULL-TIME ROLE WITH BRIGHT VISION Job Description: Environment: Apache Spark, PySpark, Spark SQL, Scala / Python, Hadoop ecosystem (HDFS, YARN), Kafka, DataFrames & Datasets, ETL pipelines, SQL, NoSQL databases, Cloud Platforms (AWS EMR / Azure Databricks), Performance tuning, Linux, CI/CD pipelines, Git, Agile methodologies BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING PLEASE. For every role, a coding test is required, so apply only if you are confident and technically strong. We prefer at least 3 to 5 years real time experience. If you are a Spark Engineer with the above skills and are looking for an H-1 B sponsorship this year, please send your resume immediately to Harry@bvteck.com. we are committed to providing equal employment opportunities and fostering an inclusive work environment. We encourage applications from all qualified individuals regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or any other protected status. If you require accommodations during the recruitment process, please let us know. Position offered by “No Fee agency.”Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

About Stepful: Stepful is reimagining allied healthcare training by offering affordable, online, instructor-led, and AI-supported programs that help learners—regardless of background or circumstance—launch high-demand healthcare careers. In addition to our direct-to-consumer training, Stepful partners with leading healthcare institutions to address the growing national shortage of healthcare workers. Our graduates, including Medical Assistants, Pharmacy Technicians, Nurses, and more, form the talent pipelines at major employers like CVS, NY-Presbyterian, HCA, Providence, and Walgreens. Stepful is backed by Y Combinator, Reach Capital, and AlleyCorp, with a recent $31.5M Series B led by Oak HC/FT. We were named the #1 EdTech company in the U.S. by TIME for 2025. We’re improving access to quality healthcare for everyone, everywhere, and improving access to healthcare careers for those who need them most Our values: We credit much of our success to our exceptional team. We’re looking for mission-driven builders who thrive in fast-paced, ambiguous environments, and embody our four core values: - Care first: We do whatever it takes for our students to succeed. - Learn quickly: We test, learn with data, and iterate. - Build together: We win when we rely on each other. - Own it: We show up, take initiative, and show pride. The opportunity: We are seeking an experienced Adjunct Instructor to join Stepful on a contract basis to teach virtual didactic courses within our Board of Nursing–approved Practical Nursing program. In this role, you will support student success by delivering engaging online instruction that helps prepare future nurses for clinical practice and licensure. This opportunity is well suited for a Registered Nurse with faculty experience in RN or LPN education who enjoys teaching in a virtual classroom environment. Didactic courses take place Monday–Thursday from 6:30–9:00pm EST. This is a 1099 contract role, with hours varying based on the number of courses taught. What you’ll do: - Teach live, virtual didactic lessons via Stepful’s LMS - Deliver curriculum content, answer student questions, and provide timely feedback - Act as a subject matter expert in practical nursing education - Foster a positive and supportive learning environment for students What you’ll bring: - 2+ years of experience as faculty in an RN or LPN education program - 2+ years of professional experience as a Registered Nurse, with 5+ years of varied nursing experience across clinical practice, nursing education, and/or administration - Bachelor’s degree in Nursing (BSN) - Active, unencumbered Michigan RN license - Ability to collaborate effectively with faculty, staff, students, and external partners Interview Process: - Intro Call with Talent Team - Case Study Assignment - Final Interview The hourly pay rate for this opportunity is $50.00/hour. Individual pay may vary from the target range and is determined by a number of factors including experience, internal pay equity and other relevant business considerations. Stepful is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic.