• Develop sophisticated embeddings and models that incorporate deep game-specific signals to solve high-impact business problems, including audience insights, opportunity sizing, and forecasting. • Build the tools, models, and pipelines required to accelerate DSE workflows across games portfolio, studios, product, and platform. • Act as a key liaison with the broader Netflix DSE and AI teams to adopt, adapt, and tailor global Netflix capabilities for the unique requirements of the gaming space. • Create end-to-end ML pipelines that accelerate and enable DSE members across games to uncover actionable insights and build data-intensive game features. • Establish the technical standards for how ML capabilities are applied across game domains.

• Develop and implement automation solutions that leverage statistics, machine learning, and Gen AI technologies within Redwood, impacting key metrics and streamlining network operations. • Identify new opportunities to drive business impact through data exploration and collaboration with key stakeholders. • Develop and optimize our agentic ML framework for speed, reliability, and observability. • Collaborate with cross-functional teams, including software engineers, data scientists, business stakeholders, and product teams, to gather inputs, assumptions, and understand business processes along the way.

• Develop and implement models and simulations that leverage statistics, data science, and machine learning technologies without our brokerage, that impact metrics, and streamline network operations • Identify new opportunities to drive business impact through data exploration and collaboration with key stakeholders • Conduct a root cause analysis to identify the key drivers influencing operational performance and variance in outcomes • Develop and optimize MLOps pipelines for speed, reliability, and observability • Collaborate with cross-functional teams, including software engineers, data scientists, business stakeholders, and product teams, to gather inputs, assumptions, and understand business processes along the way

Title: AI/ML Engineer Location: Woodinville, Washington, United States Job Description: Data Scientist Details: Hybrid Redapt Inc. is a pioneering world-class data center infrastructure integrator, technology engineering firm, and cloud services provider. Our teams focus on delivering innovative solutions and services that power our customers' most demanding applications and enable them to extract powerful insights from data that drive true business value.   We are looking for a versatile AI/ML Engineer who can lead, sell, design, and implement modern architecture for a diverse set of customers and industries. The ideal candidate would have deep experience in designing high-value advanced analytics solutions utilizing popular analytical frameworks running on Azure, GCP, and AWS. This position will be responsible for leading customer conversations, creating and presenting project architecture, and leading delivery. Primary responsibilities include mentoring and leading other consultants, leading pre-sales workshops with finance and technology executives to uncover innovative ways to apply advanced analytics techniques to solve business problems in new ways. The role can be hands-on when necessary but should have Direct delivery experience to recommend technologies, solutions, and help troubleshoot.    Responsibilities: - Drive growth through business development, resourcing, and quality delivery. - Monitor business impact and value generation of analytics projects. - Help create go-to-market strategies around advanced AI/ML Services and hardware. - This role will be directly involved in the business development process, delivering customer demos to show the value of how data can drive business goals. - Create proposals and SOWs. - Work closely with sales and other practice leaders to recommend strategies to grow our data science services. - Manage full sales cycles, end-to-end, for high potential clients. - Evaluate business impact and priority initiatives for our portfolio of managed analytics customers. - Talent Leadership and Product Ownership. - Help with planning and staffing for data science projects. - Provide support for project managers through developing tasks, estimates, and dependencies to meet expectations. - Train the data science team on best practices and new technology initiatives. - Anticipate the impact of new technologies and frameworks and help create compelling data science offerings to our clients. Skills you bring with you: - Knowledge of how to use data science/AI/ML techniques in operations to impact corporate financials. - Working knowledge of DevOps process (CI/CD) applied to data science and ML ops. Qualifications: - Bachelor’s or Master’s Degree in Advanced Math, Data Science, or Computer Science. - 5-8+ years of experience with advanced data science techniques, frameworks, libraries, and technologies including but not limited to: - Tensorflow, KubeFlow, Python, R, Keras, NumPY, SciKit, PyTorch, SQL. - Azure ML, Vertex AI, SageMaker, Databricks, Big query/Redshift/Snowflake - ELT/ELT/Pipeline Design, Data Modeling, Spark, Airflow/DBT and API Integration Patterns Nice to have:  - LLM’s, RAG, Vector Databases, Prompt Evaluation, GenAI Solution Patterns The base salary range for this full-time position in the US is $130,000 - $140,000 annually + bonuses + benefits. Redapt salary ranges are determined by role, level, and location. The salary range displayed in each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Please note, the base pay offered may vary within the range depending on a wide array of factors including but not limited to work location, job related knowledge/skills, relevant education/training, and level of experience. Please note that the compensation details listed in the US role postings reflect the base salary only, and do not include bonuses or benefits. Equal Employment Opportunity: Redapt is an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited by local, state, or federal laws. All employment is decided based on qualifications, merit, and business need.