BigQuery Jobs in Costa Rica.
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Contract: AI Operations Specialist
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Why You'll Love This Role:
We're looking for an experienced ML Ops Engineer to join the ML/AI team at Newsela. This team works on projects ranging from classical Machine Learning to AI / Generative pipelines. This is a hands-on role. You'll work closely with ML/AI, data and site reliability engineers to take models from prototype to production, build robust data pipelines, and keep our services running smoothly as we continue to scale.
What You'll Be Doing:
- Design and maintain CI/CD pipelines for ML model training, packaging, and deployment across our microservices.
- Manage containerized services on AWS ECS, optimizing for cost, latency, and availability.
- Automate infrastructure provisioning and service configuration with Terraform.
- Work to maintain and scale services that make use of third party LLM providers.
- Build and improve data pipelines that feed models from BigQuery, S3, and DynamoDB into training and inference workflows.
- Instrument services with observability tooling (Datadog, OpenTelemetry, Langfuse) and establish SLOs for model-serving endpoints.
- Collaborate with ML engineers to productionize new models using BentoML, FastAPI, and container-based serving.
About You:
- 2-3 years in ML Ops supporting ML/AI features, systems and workflows with 3-4 years prior experience in DevOps, CloudOps or SRE.
- Strong proficiency in Python.
- Hands-on experience with Docker containerization and container orchestration.
- Solid understanding of CI/CD for ML workflows in an enterprise production environment.
- Experience with Infrastructure as Code, preferably Terraform.
- Familiarity with cloud platforms — specifically AWS (ECS, ECR, S3, DynamoDB, CloudWatch) and GCP (BigQuery, Vertex AI).
- Experience with LLM integration and observability (OpenAI API, Google GenAI, Langfuse tracing).
- Experience building and maintaining data pipelines for ML training and feature engineering
- Familiarity with ML modeling workflows — training, evaluation, experiment tracking (e.g. MLFlow, Weights & Biases), and model versioning
- Experience monitoring and flagging model drift over time.
- Exposure to NLP/NLU models and frameworks such as Hugging Face Transformers, spaCy, or sentence-transformers
- Knowledge of vector databases (LanceDB, FAISS) and embedding-based retrieval systems
- Experience with scaling and maintaining deep learning frameworks (TensorFlow, PyTorch) in production settings
- Familiarity with classical ML libraries (scikit-learn, XGBoost, LightGBM) and model explainability tools (SHAP)
- Working knowledge of ML serving frameworks such as BentoML or similar.
- Comfort working with FastAPI or similar async Python web frameworks.
Please note that given the nature of the contract, this role will not be eligible to participate in company-sponsored benefits
About Newsela:
Newsela is a leading education technology company dedicated to meaningful classroom learning for every student. We deliver integrated, AI-powered solutions designed to unlock student engagement, empower teachers, and drive meaningful learning outcomes. Our suite of products supports knowledge and skill development, writing practice, daily instruction, assessment, and data-informed decision-making across K–12 classrooms. Grounded in learning science research, Newsela’s solutions integrate content, assessment, and analytics to help educators track progress, understand student outcomes, and deliver high-impact instruction that supports every learner.
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Senior Software Engineer
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About OfficeSpace:
OfficeSpace Software provides the leading AI operating system for the built world, that helps teams plan, connect, and perform in the workplace. As a performance-based, PE-backed company, we hire based on merit and a willingness to do what it takes to succeed long-term. You’re a great fit for the role if you’re entrepreneurial, passionate, motivated by building at light speed, and an Agentic AI early adopter. Our world-class teams operate in the US, Canada, and Costa Rica in a culture of trust, respect, growth, and impact.
Role Summary:
As a Senior Full-Stack Software Engineer at OfficeSpace, you will play a pivotal role in designing, developing, and optimizing innovative software solutions. Your work will directly contribute to a high-performance, AI-driven technology environment, focusing on using Ruby on Rails for backend development and React for frontend development to deliver scalable, user-focused applications.
What You’ll Do:
- Full-Stack Development: Develop and enhance applications using Ruby on Rails and React. Focus on creating scalable and maintainable solutions with user-centric designs.
- Drive High-Impact Solutions: Contribute to the development and maintenance of solutions emphasizing performance, reliability, and maintainability. Work with technologies like Google Cloud Platform and BigQuery for efficient data management and analytics.
- AI & Data-Driven Innovation: Leverage AI-powered tools to streamline processes, improve user experiences, and enhance development workflows.
- End-to-End Ownership & Quality Shift-Left: Collaborate on code quality, applying test-driven development and embedding quality checks throughout the development process.
- Performance Optimization: Assist in identifying and resolving performance bottlenecks to enhance speed and reliability.
- Security & Technical Integrity: Proactively address security concerns and contribute to maintaining a high standard of code integrity.
- Collaborative Development: Work closely with team members, including junior engineers, to share knowledge, provide constructive code reviews, and implement best practices.
What You’ll Bring:
- Technical Expertise: 5+ years of full-stack development experience, with strong proficiency in Ruby on Rails and React..
- API Development: Familiarity with GraphQL or RESTful API design and implementation.
- Cloud and Data: Exposure to cloud technologies like Google Cloud Platform and experience with databases such as MariaDB or NoSQL systems (e.g., Redis, Elasticsearch).
- Performance Optimization: Understanding of application performance metrics and strategies for improvement.
- AI & Automation: Familiarity with AI tools to automate tasks and improve efficiency.
- Team Collaboration: Demonstrated ability to collaborate within agile teams, working closely with product managers and designers to deliver high-quality solutions.
- Mentorship: Some experience mentoring junior developers is a plus.
Why OfficeSpace?
- High-Performance Culture: At OfficeSpace, we believe in the power of accountability, focus, and drive. Our A-Player team members work together to deliver measurable, meaningful results. We recognize and reward those who push boundaries and achieve excellence.
- Ownership and Accountability: We trust our employees to take full ownership of their roles, providing the autonomy to innovate and the support to succeed. We seek individuals who are self-motivated and thrive in an environment where they can drive impactful outcomes.
- Technology-Forward: As a company invested in cutting-edge technology, we integrate AI and other advanced solutions across our platform to enhance productivity, customer experience, and process efficiency. Our team members are excited by the potential of AI and proactively explore ways it can drive our success.
- Growth Mindset: Continuous learning and improvement are integral to our culture. We encourage our team to embrace challenges, seek knowledge, and develop both personally and professionally.
- Innovation and Agility: We foster a dynamic, fast-paced environment where fresh ideas and bold solutions are celebrated. We embrace change and thrive on turning challenges into opportunities, with a team that is agile, proactive, and resilient.
- Collaborative, Results-Driven Environment: We value purposeful collaboration that leads to shared success and stronger results. While our team members are independent, they recognize the value of working together to drive our mission forward.
- Competitive Benefits and Rewards: OfficeSpace offers comprehensive and competitive benefits packages globally, designed to support our team’s health, well-being, and financial security. We invest in our people so they can excel.
OfficeSpace is committed to building and promoting a diverse workforce and celebrates the unique qualities that individuals of various backgrounds and experiences offer. We are committed to basing all employment-related decisions upon valid job-related factors without regard to race, color, sex (including pregnancy, sexual orientation, and gender identity), age, religion, national origin, genetic information, military status, veteran status, physical or mental disability, or any other status protected by law.
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Who We Are
Konrad is a next-generation digital consultancy. We are dedicated to solving complex business problems for our global clients with creative and forward-thinking solutions. Our employees enjoy a culture built on innovation and a commitment to creating best-in-class digital products in use by hundreds of millions of consumers around the world. We hire exceptionally smart, analytical, and hard-working people who are lifelong learners.
About The Role
As a Data Analyst, you are an early-to-mid career analytics professional with a strong foundation in data analysis and a desire to grow your technical and consulting skill set. You support the delivery of analytics and reporting solutions that help clients better understand their data and make informed decisions. You are comfortable working with structured datasets and are eager to deepen your experience in data modeling, visualization, and business analysis.
You will work closely with senior analysts, data scientists, engineers, and business stakeholders across a variety of client engagements. With guidance and mentorship, you will contribute to analytics initiatives including dashboarding, exploratory analysis, KPI tracking, and data quality validation. You are curious, detail-oriented, and motivated to continuously improve your analytical skills.
What You’ll Do
- Support client and internal teams in understanding business questions and translating them into analytical requirements
- Analyze data to identify trends, patterns, and insights under the guidance of senior team members
Build and maintain dashboards and recurring reports to track key metrics and performance indicators - Assist in documenting metrics, definitions, and analytics processes
- Collaborate with data engineers and other analysts to support data modeling and reporting layers
Communicate insights clearly through visualizations, summaries, and presentations - Proactively identify opportunities to improve reporting, data quality, and analytical workflows
Qualifications
- Minimum 2+ years of experience in a data analyst, business intelligence, or analytics-focused role
- Programming experience in Python, Bash scripting, R or related language
- Working proficiency in SQL and experience querying cloud data warehouses (e.g., Snowflake, Databricks, Redshift, BigQuery)
- Experience with Business Intelligence and data visualization tools (e.g., Looker, Tableau, Power BI)
- Foundational understanding of data modeling and analytics best practices
- Experience defining and tracking KPIs and metrics
- A/B testing and causal analysis
- Strong analytical and problem-solving skills with attention to detail
- Clear written and verbal communication skills
Ability to work collaboratively in cross-functional and consulting-style environments - Interest in learning about data governance, privacy, and security best practices
Perks and Benefits
- Mentorship Program
- Comprehensive Health & Wellness Benefits Package
- Parental Leave Program
- Flexible Working Hours
- Work from Home Flexibility
- Service Recognition Programs
- Socials, Outings & Retreats
- Culture of Learning & Development
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Who We Are
Konrad is a next-generation digital consultancy. We are dedicated to solving complex business problems for our global clients with creative and forward-thinking solutions. Our employees enjoy a culture built on innovation and a commitment to creating best-in-class digital products in use by hundreds of millions of consumers around the world. We hire exceptionally smart, analytical, and hard-working people who are lifelong learners.
About The Role
As a Data Architect, you are a technically strong and curious problem-solver who applies expertise in data science, enterprise data architecture, system design, and data governance best practices to solve complex business challenges. You design and oversee the development of scalable, secure, and reliable data solutions, and can clearly communicate the value of your designs to both technical and business audiences.
You will collaborate closely with data engineers, analysts, product managers, and clients to design and deliver data & AI solutions that drive measurable impact. You are comfortable working with large databases, designing enterprise data systems, and contributing to AI-enabled products in strict regulatory environments. As a senior contributor on the team, you bring a strong foundation in data science, system design, and modern data tooling.
What You’ll Do
- Partner with clients and internal teams to identify opportunities where data science and machine learning can drive business value
- Explore, analyze, and prepare large datasets for modeling and experimentation
- Design, build, and validate statistical, predictive, and machine learning models
- Develop and deploy scalable data science and AI solutions in collaboration with engineering teams
- Evaluate model performance and continuously iterate to improve accuracy (including A/B testing and causal analysis)
- Lead data modernization & migration projects at large enterprises
- Communicate findings, methodologies, and recommendations clearly to technical and non-technical stakeholders
- Stay current with emerging data science, AI, and machine learning techniques and tools
Qualifications
- Minimum 5+ years of experience in a data science, machine learning, or solution architect roles.
- Strong proficiency in Python (or similar) and experience with data science libraries and frameworks.
- Solid foundation in statistics, probability, and machine learning techniques.
- Experience designing and managing the build-out of cloud-based data platforms and data warehouses (e.g., Snowflake, Databricks BigQuery, Redshift).
- Familiarity with model deployment, monitoring, and lifecycle management.
- Experience with containerization (e.g., Docker) and building production APIs (e.g., FastAPI) and applications (e.g., Django or Flask).
- Excellent communication skills in english.
- Experience collaborating with data engineering teams on production-grade solutions.
- Strong problem-solving skills and the ability to frame ambiguous business problems into technology solutions and gaining stakeholder buy-in.
- Experience working in agile, consulting, or cross-functional environments.
Perks and Benefits
- Comprehensive Health & Wellness Benefits Package.
- Socials, Outings & Retreats.
- Annual tech & travel allowance.
- Culture of Learning & Development.
- Flexible Working Hours.
- Work from Home Flexibility.
- Service Recognition Programs.
Bonus Points
Have you taken any courses at BrainStation? A lot of our design and development best practices and processes are taught during our courses, make sure to highlight this experience in your cover letter if you have!
Konrad is committed to maintaining a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status will receive consideration for employment. If you have any accessibility requirements or concerns regarding the hiring process or employment with us, please notify us so we can provide suitable accommodation.
While we sincerely appreciate all applications, only those candidates selected for an interview will be contacted.
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