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Job Description Senior Data & Platform Engineer (Market Risk Tech) MUST be local to New York City, Hybrid Schedule Salary: >$180k No Sponsorship Available Role: Build data services and Spark pipelines on Kubernetes and Databricks. Own end-to-end delivery with strong SDLC and mentor junior engineers. Financial-risk experience required, with Market Risk strongly preferred (CCR or Liquidity also acceptable). Responsibilities: • Develop Java/Python services and SQL/Spark ETL on Databricks., • Containerize and deploy to Kubernetes with full observability., • Enforce strong SDLC: reviews, testing, CI/CD, monitoring., • Deliver audit-ready data contracts; partner with risk teams., • 6+ years engineering; expert in Java, Python, SQL., • Spark/Databricks proficiency (Delta, performance tuning)., • Production Kubernetes experience., • Strong CI/CD and SDLC discipline.

Job Description Department Overview: The client services team includes support, customer success and solutions engineering. The team is responsible for generating value for our customers and sustaining revenue from clients. The team ensures that clients are using InfoSum to its full potential, providing necessary support and representing client opportunities and challenges internally. Sub Department overview: Solutions Engineering is responsible for technical excellence in the planning and execution of client use cases powered by InfoSum. This team is aligned to support both the Sales team in pre-sale use case validation and technical scoping, as well as Customer Success in post-sale support of client execution and expansion. Solutions Engineering is a client-facing team that also operates independently to build partnerships with technical contacts at clients, resolve technical barriers to success and empower clients and internal teams with custom tools that accelerate adoption of InfoSum’s complete technology offering. Core Responsibilities: • Collaborate with sales and product management teams to understand customer requirements and business objectives, • Design customized technical solutions that meet customer needs and align with company capabilities and product offerings, • Develop solution architectures, diagrams, and technical documentation to communicate design specifications and requirements effectively, • Configure, customize, and deploy technical solutions, leveraging company products, APIs, and third-party integrations as needed, • Conduct solution demonstrations, proof-of-concepts, and pilot projects to showcase functionality and validate solution feasibility, • Collaborate with software development teams to ensure seamless integration of customizations and enhancements, • Serve as a technical advisor and subject matter expert, providing guidance and support to customers throughout the solution lifecycle, • Conduct technical workshops, training sessions, and knowledge transfer sessions to empower customers to maximize the value of their solutions, • Troubleshoot technical issues, identify root causes, and implement effective solutions to resolve customer challenges, • Stay abreast of industry trends, emerging technologies, and best practices to continuously enhance solution offerings and capabilities, • Understand the advertising marketplace in terms of data collaboration and ad tech/mar tech, • Provide feedback to product management and development teams to inform roadmap prioritization and feature enhancements, • Contribute to the development and documentation of internal processes, tools, and methodologies to streamline solution delivery and support, • 3-5 years of experience in solutions engineering, technical consulting, or a related position within the ad-tech, mar-tech, or data technology space, • Expert knowledge of solutions engineering and associated departmental operational excellence, • Strong knowledge of sales and post-sale practices, • Experience in a query language (SQL preferred), • Experience in a scripting language such as Python, • Experience in ETL operations with expertise in at least one of these: GCP, Snowflake, AWS, Azure, Databricks, • Analytical mindset, • Process-oriented, • Ability to function and succeed in ambiguous and high-stakes environments, • Persuasion, consensus building, and negotiation, • Excellent communication skills and ability to present, • Ability to establish credibility, trust, and collaborate across teams, • Understanding of key value and revenue drivers, • Empathy for customers and strong adherence to quality As well as working as part of an amazing, engaging and collaborative team, we offer our staff a wide range of benefits to motivate them to be the best they can be! Here's an overview of everything we offer right now! • Competitive commercial bonus plan, • Up to $130k base salary (based on experience), • Healthcare benefits, • 401k, • Mental wellbeing and support For this role, we would ideally like for someone to be based locally and come into the office 2-3 times a week for team syncs, however, if you require more flexibility, we can discuss a solution that works for everyone.

A data and AI company is seeking a Startup Account Executive in Denver, Colorado, to drive sales and foster client relationships. The successful candidate will build territory plans, align clients with innovative solutions, and maintain sales performance metrics.

Job Description Designation: Data Architect Job Location: New York (Hybrid) Experience: 9yrs+ Position Summary We are looking for an experienced Data Architect to design and manage scalable, secure, and high-performance data solutions. The candidate will drive enterprise data architecture, define data models, and build end-to-end frameworks for data integration, governance, and analytics across multiple platforms. Responsibilities: • Own enterprise data architecture across conceptual, logical, and physical models, including data standards, naming conventions, and best practices., • Design reusable architecture patterns (CDC ingestion, SCD handling, lakehouse/warehouse layers, medallion architecture) and architect scalable ETL/ELT + ingestion frameworks for end-to-end integration and transformations., • Build and optimize warehouse/datamart architectures for analytics and reporting with strong focus on performance tuning (partitioning, clustering, indexing, query optimization)., • Ensure data governance, quality, lineage, metadata management, and secure access controls (RBAC, encryption, masking)., • Drive architecture reviews, technical decisions, and create/maintain documentation (architecture diagrams, data flows, ERDs, integration specs) ensuring alignment with enterprise standards., • Collaborate with business stakeholders, data engineers, cloud, and BI teams to translate requirements into validated solutions., • 8+ years of experience in data architecture and/or data engineering with strong architecture ownership, • Strong knowledge of data modeling (3NF, Star Schema, Snowflake Schema, Dimensional Modeling), • Expertise in SQL and database design principles, • Strong experience with data warehousing concepts and best practices, • Hands-on experience with at least one modern cloud data platform (Warehouse/Lakehouse): BigQuery / Databricks / Snowflake / Redshift, • Experience with ETL/ELT tools and orchestration frameworks, • Knowledge of data governance tools (Collibra, Alation, Purview) is a plus, • Exposure to API-based ingestion and streaming (Kafka / PubSub) is a plus, • Bachelors/Masters degree in Computer Science / IT / Engineering or equivalent experience

Job DescriptionBenefits: • 401(k) matching, • Health insurance, • Skills: Databricks / PySpark, Alteryx, Power BI, • Strong data analysis capability is required, • Must have experience leading offshore teams, • Excellent communication skills are a must

Power BI & Tableau (Power BI preferred). Core qualifications include a deep understanding of data and ETL architecture , practical experience with cloud-based data platforms (preferably GCP with Databricks/Apache Spark ), and strong programming skills in Python/PySpark with direct ETL experience. Ad

Job Description Department Overview: The client services team includes support, customer success and solutions engineering. The team is responsible for generating value for our customers and sustaining revenue from clients. The team ensures that clients are using InfoSum to its full potential, providing necessary support and representing client opportunities and challenges internally. Sub Department overview: Solutions Engineering is responsible for technical excellence in the planning and execution of client use cases powered by InfoSum. This team is aligned to support both the Sales team in pre-sale use case validation and technical scoping, as well as Customer Success in post-sale support of client execution and expansion. Solutions Engineering is a client-facing team that also operates independently to build partnerships with technical contacts at clients, resolve technical barriers to success and empower clients and internal teams with custom tools that accelerate adoption of InfoSum’s complete technology offering. Job Overview: As the Senior Director of Solutions Engineering within the Client Services team, you will play a crucial role in ensuring InfoSum’s customers maximize the value of our platform. You will lead a team of Solutions Engineers, providing technical expertise and strategic guidance to help clients implement, optimize, and scale their use of InfoSum’s technology. This role requires a blend of technical acumen, leadership, and customer engagement skills to drive successful outcomes for our clients and support InfoSum’s growth. Core Responsibilities: • Lead a team of Solutions Engineers based in NYC to design, plan and execute data collaboration projects on InfoSum, • Be the utmost expert in the US on InfoSum’s complete technology solution and its integration points, • Validate prospective and current customer use cases and advise them on how to achieve their goals related to data collaboration, • Build and maintain relationships with senior technical leaders at Fortune 500 companies, • Design & present project plans based on customer goals that detail how projects will be executed, meeting the needs of all customers involved, with a high level of attention to technical details and would-be pitfalls, • Work closely with Customer Success throughout the execution of the project to accelerate project completion, ensure quality of customer experience and resolve technical barriers, • Work closely with Sales to support revenue growth through identification of opportunities to expand customer usage of InfoSum and by ensuring excellent customer satisfaction, • Create technical specifications to support customer operations, including data preparation, dataset onboarding, querying, API integrations and MCP integrations, • Create and improve shared templates for project planning, technical specifications, managed services, technical checklists, etc., • Collaborate with Product and Engineering teams, relaying customer feedback to influence product development decisions and priorities, • Manage technical escalations, troubleshooting complex challenges, and coordinating with internal teams to deliver resolutions, • Design & improve approaches to training and educating new hires, brands, publishers, data providers and agency teams about the InfoSum technology, • Establish performance standards and personal growth plans and run performance reviews with all direct reports twice yearly, • Advocate and enforce InfoSum’s commitment to data privacy and excellence in security hygiene, • Identify technical and process barriers to success across the InfoSum Client Services organization and propose solutions, • This position requires a startup mentality. InfoSum is the fastest growing technology business within WPP, and we believe that the best doers make the best leaders. Leaders at all levels set the standards of excellence for their teams by remaining engaged in the hands-on, day-to-day work of building a technology business still in its early stages of adoption., • 8-10 years of experience in solutions engineering, technical account management, technical consulting, or a related position within the ad-tech, mar-tech, or data technology space, • Proficiency in a query language (SQL preferred), • Proficiency in a scripting language such as Python, • Proficiency in ETL operations with expertise in at least one of these: GCP, Snowflake, AWS, Azure, Databricks, • Strong understanding of data collaboration, identity resolution, and the digital advertising ecosystem, • Experience working with cloud-based technologies, APIs and data platforms, • Proven ability to lead and mentor a team of technical experts, fostering growth and development, • Excellent problem-solving skills, with the ability to troubleshoot complex technical issues and drive solutions, • Strong customer-facing communication skills, with the ability to translate technical concepts into business value for diverse audiences, • Experience managing technical relationships with enterprise clients and navigating complex integrations, • Ability to work cross-functionally with Product, Engineering, and Sales teams to drive customer success. As well as working as part of an amazing, engaging and collaborative team, we offer our staff a wide range of benefits to motivate them to be the best they can be! Here's an overview of everything we offer right now! • Competitive commercial bonus plan, • Up to $200k base salary (based on experience), • Healthcare benefits, • 401k, • Mental wellbeing and support For this role, we would ideally like for someone to be based locally and come into the office 2-3 times a week for team syncs, however, if you require more flexibility, we can discuss a solution that works for everyone.

Job DescriptionCompany Description Vichara is a Financial Services focused products and services firm headquartered in NY and building systems for some of the largest i-banks and hedge funds in the world. Job Description Hands-on engineering role focused on building and scaling business-critical applications for Global Credit platform. This role partners closely with investment professionals and business stakeholders to design, develop, and deliver high-quality software solutions that improve credit workflows, analytics, and decision-making. • Design, build, and maintain full-stack applications using Python on the backend and React / Next.js on the frontend, • Develop APIs and services that integrate with internal platforms, data sources, and third-party tools, • Develop retrieval-augmented generation (RAG) pipelines and LLM-based workflows using tools such as LangChain or LlamaIndexQualifications, • Minimum of 8 years of hands-on experience building production systems using Python, with strong experience working with enterprise data platforms and databases (e.g., Snowflake, Databricks, PostgreSQL, MS SQL), • Frontend development experience with React and/or Next.js, • Experience developing or integrating AI-enabled applications, including familiarity with LLMs and orchestration frameworks (e.g., LangChain, LlamaIndex), • Prior experience or exposure to the investment management or financial services industry Additional Information

Job Description We are looking for a Data Science Lead along with Data Science and Data Engineering support roles to build and deliver advanced AI/ML and data science solutions in a fast‑paced, agile environment. This role focuses on rapid iteration, business impact, and end‑to‑end model development, including propensity modeling and close integration with data engineering pipelines. Leveraging GenAI and data assist tools to accelerate outcomes is a key part of this role. Experience in the HR domain is a strong plus. Responsibilities • Lead end‑to‑end data science initiatives using agile and iterative delivery models, • Design, develop, and deploy AI/ML models, including propensity models, aligned to business outcomes, • Drive and define data engineering requirements to support model development, optimization, and scalability, • Leverage GenAI / Data Assist tools to accelerate data exploration, modeling, and experimentation, • Collaborate with business and technical stakeholders to ensure models deliver measurable impact, • Perform data analysis, feature engineering, model training, validation, and refinement, • Support testing, deployment, and monitoring of AI/ML solutions in production environments, • Work closely with data scientists and data engineers to ensure seamless handoff and integration Requirements Data Science Lead (SC / M Level) • Proven experience leading data science projects with rapid iterations in an agile setup, • Strong hands‑on experience in AI/ML model development, especially propensity modeling, • Ability to drive and influence data engineering workstreams to support model development and refinement, • Experience leveraging GenAI or Data Assist tools to accelerate data science workflows is highly desirable, • Prior experience in the HR domain is a strong advantage Data Science Support (SC / C Level) • Solid foundation in AI/ML techniques and applied data science, • Ability to follow technical direction and contribute to model development as part of a team, • Experience in data analysis, feature engineering, and model validation Data Engineer (C Level) • Experience building and maintaining data pipelines on AWS, • Strong knowledge of cloud databases, structured and unstructured datasets, • Hands‑on experience loading data into S3 and working with tabular schemas, • Databricks experience preferred Work Timing EST, New York City, New York Hours per week 40 Duration of Contract 10 Months Application Process Please visit Jobs at Mindverse Consulting Services Private Limited and locate the applicable job title. Read the JD in details and Click "I'm Interested" and fill out accordingly. Attach your CV and any other document you deem fit along with the "Screening Questions" which is mandatory. Please be specific and detailed. Note these questions are from the custom to evaluate your candidature. Any vague or inconclusive answer will not be considered. Incase of any query, feel free to reach out to

Job Description Location: Cambridge, MA (Eastern Time / UTC -4) Relocation package available Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on behalf of a fast-growing AI startup recognized as a Top 10 GenAI company by GTM Capital, founded by MIT CSAIL researchers. We are seeking a Staff / Principal ML Ops Engineer to lead the design, implementation, and scaling of the companys ML infrastructure and production AI systems. This is a high-impact, architecture-defining role where youll work across the entire model lifecycletraining, evaluation, deployment, observability, and continuous optimization. You will partner closely with AI researchers, GPU systems engineers, backend teams, and product stakeholders to ensure the companys large-scale AI systems are robust, efficient, automated, and production-grade. This role is ideal for someone who has already built and owned ML platforms at scale and can drive strategy as well as hands-on execution. What Youll Do • Architect, build, and scale the end-to-end ML Ops pipeline, including training, fine-tuning, evaluation, rollout, and monitoring., • Design reliable infrastructure for model deployment, versioning, reproducibility, and orchestration across cloud and on-prem GPU clusters., • Optimize compute usage across distributed systems (Kubernetes, autoscaling, caching, GPU allocation, checkpointing workflows)., • Lead the implementation of observability for ML systems (monitor drift, performance, throughput, reliability, cost)., • Build automated workflows for dataset curation, labeling, feature pipelines, evaluation, and CI/CD for ML models., • Collaborate with researchers to productionize models and accelerate training/inference pipelines., • Establish ML Ops best practices, internal standards, and cross-team tooling., • Deep hands-on experience designing and operating production ML systems at scale (Staff/Principal-level expected)., • Strong background in ML Ops, distributed systems, and cloud infrastructure (AWS, GCP, or Azure)., • Proficiency with Python and familiarity with TypeScript or Go for platform integration., • Expertise in ML frameworks: PyTorch, Transformers, vLLM, Llama-factory, Megatron-LM, CUDA / GPU acceleration (practical understanding), • Strong experience with containerization and orchestration (Docker, Kubernetes, Helm, autoscaling)., • Deep understanding of ML lifecycle workflows: training, fine-tuning, evaluation, inference, model registries., • Experience deploying and operating LLMs and generative models in production at enterprise scale., • Familiarity with DevOps, CI/CD, automated deployment pipelines, and infrastructure-as-code., • Experience optimizing GPU clusters, scheduling, and distributed training frameworks., • Prior startup experience or comfort operating with ambiguity and high ownership., • Research pedigree: MIT CSAIL founders recognized for breakthrough AI and systems contributions., • Customer impact: Deploy AI solutions powering Fortune 500 clients., • Industry momentum: Lab alumni have led high-value acquisitions (MosaicML Databricks, Run:AI Nvidia, W&B CoreWeave)., • Funding & growth: Oversubscribed seed round, next funding in 2026., • Career growth & influence: Lead AI initiatives, optimize pipelines, and directly impact production AI systems at scale., • Culture & autonomy: Own critical systems while collaborating with world-class engineers., • Competitive salary & equity options, • Sign-on bonus, • Health, Dental, and Vision

Job DescriptionDescription: About Us Cortico-X is an experience-led transformation business that partners with clients on reimagining complex customer and employee experiences. We do this by orchestrating insight, strategy, technology, and delivery into one unified motion, ensuring every action drives measurable outcomes and growth. Accordingly, our core capabilities span the end-to-end transformation value chain: strategy, research, design, applied data & technology, and experience management. The Opportunity Cortico-X is seeking an Associate Principal to lead data product strategy and advisory for our clients. In this role, you'll work directly with senior client stakeholders to understand their business challenges and design transformative data and AI solutions. While technical fluency is essential, this is primarily a strategic and client-facing role—you'll guide technical teams and validate approaches, but your focus is on client leadership, solution design, and delivery management. What You’ll Do Client Leadership & Strategy • Serve as a trusted advisor to C-suite and VP-level stakeholders, • Lead discovery sessions to identify data and AI opportunities, • Translate business objectives into technical roadmaps and solution architectures, • Present recommendations and solution demos to executive audiences, • Apply design thinking to create user-centric data products, • Design end-to-end solutions that balance value, feasibility, and risk, • Define product roadmaps and phased delivery plans that show quick wins, • Lead cross-functional teams of data engineers, data scientists, and analysts, • Provide direction on data architecture, modeling, pipelines, and platform selection, • Guide teams working with modern data stacks (Spark, SQL, Databricks, cloud platforms), • Build occasional prototypes or POCs to validate approaches (helpful but not required), • Conduct quality reviews to ensure deliverables meet client expectationsRequirements: What You’ll Bring Experience • 7–10 years in data/AI consulting, product management, or data engineering, • 3+ years in client-facing advisory roles, • Proven success managing senior stakeholder relationships and leading technical teams, • Strong understanding of data architecture, modeling, and modern data platforms, • Working knowledge of SQL, Spark, and cloud ecosystems (Databricks, Snowflake, AWS/GCP/Azure), • Solid grasp of AI/ML concepts and implementation approaches, • Exceptional communication and presentation skills, • Strong facilitation skills for workshops and stakeholder alignment, • Experience with design thinking, agile delivery, and product management frameworks, • Executive presence and credibility with senior leaders, • Collaborative, entrepreneurial mindset, • Lead high-impact engagements with Fortune 500 companies and innovative startups, • Shape data and AI strategies at the executive level, • Fully remote with flexible work arrangements Visa Support: Cortico-X welcomes applicants who are already in the U.S. and require H-1B visa transfers.

Job DescriptionHinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role: As a Senior Data Engineer at Hinge, you will create essential data processes and contribute to components of a modern data pipeline that will be the foundation of Hinge’s decision-making ability. The systems you help create, the problems you help solve, and the support of our analytical minds, will be pivotal to the success of Hinge. Your work will enable the organization to make data-driven decisions and drive improvements, which will affect the love lives of millions of people. As a Senior Data Engineer on the team, you will be improving core functionality and implementing critical pipelines that will not only aid the Data Engineering team but also the rest of the organization. You will be working on an actual big data architecture while concentrating on real-world problems.Responsibilities: • Work with our data teams to ensure data is flowing accurately through data creation to our presentation layers., • Improve our Data Engineering stack through containerization, data modeling, developing our ETL pipelines, and more., • Use your expertise in data modeling to design, build, and maintain our analytics data warehouse, which provides clean, accurate, and robust data sets that can be leveraged for reporting, analytics, and machine learning initiatives., • Work with stakeholders and translate their needs and expectations into action items and deliverables., • Continue to learn more about the Data Engineering discipline, utilize that knowledge in your deliverables, and identify opportunities to enhance our pipelines., • Participate in our on-call rotation to ensure system reliability, promptly addressing issues to ensure smooth operations.What We're Looking For:, • 5+ years of professional/industry experience, • Proficient in Python, SQL, DevOps, and databases., • 5+ years of professional/industry experience., • Experience delivering data products from conception to delivery and with the infrastructure that supports their underlying processes., • Experience modeling data sets for different types of sources and business processes., • Passionate about designing elegant data infrastructure, tooling, and pipelines. #Hinge

Job Description Job Title: People & Talent Specialist (Founding Role) Work Style/ Location: 100% Onsite, NY, NY Type: Full-Time Position Overview BizFirst is supporting our client in identifying a People & Talent Specialist to lead recruiting and culture-building efforts for a growing US office. This is a founding role with high autonomy and high impact. You won't be filling reqs. You'll be building something. Our client is a fast-growing global data and AI consultancy with operations across three continents. They've built a consultant-first culture anchored in real investment in their people, proprietary training, and deep partnerships with platforms like Snowflake, Databricks, and Google Cloud. The US arm has the backing of an established global brand with the energy and ambition of a New York startup. The Mission: Build the Foundation Your mission is twofold: hunt the most brilliant technical minds in the data and AI ecosystem, and build a culture so compelling they never want to leave. You'll have a seat at the table to define what this company's culture means in the US market. You'll be the face of the company to elite Data Engineers, Cloud Architects, and DevOps specialists. What You'll Be Driving Culture & Community (The Heartbeat) • You're the "Vibe Keeper." You'll define and protect the values, ensuring that as the company scales, it doesn't lose the scrappy, smart, and social energy that makes it special., • From curated team offsites and mixers to meaningful employee engagement initiatives, you'll make sure distributed and local teams feel like one unit., • You'll represent the company at industry events, partner with channel sales teams, and turn the office into a hub for the NY tech community. Talent Architecture (The Growth Engine) • Move beyond the LinkedIn cold spray. You'll leverage a deep, existing network of technical talent in Data, Cloud, and Fintech to build a world-class consultancy., • Design a high-touch, frictionless interview process that mirrors the company's technical sophistication. Make every candidate feel like they're joining a mission, not just a job. This role is People & Culture first, recruiting second. You set the tone for how people experience this company, from first touchpoint through their entire career here. • 4+ years technical recruiting (Data/AI/Cloud)., • Bachelors preferred but not required., • The Culture Builder: High-energy and intentional about how a team feels. You don't just attend the happy hour, you're the one everyone gravitates toward. You think about what makes people stay, not just what gets them in the door., • The Technical Recruiter: 4+ years recruiting in Data, AI, Cloud, or Engineering (agency or in-house). You speak the language of Data & Analytics, you know LinkedIn Recruiter cold, and you go beyond it into curated networks and communities most recruiters never touch., • The Brand Ambassador: You know the New York tech scene: the events, the meetups, the rooms where data and AI talent actually spend time. You'll be the company's face in those circles., • The Storyteller: You turn a complex technical vision into a compelling human narrative. Every candidate should feel like they're joining a mission., • The Grinder: Agency-level grit. Building a team from scratch in a new market is hard. You don't stop when the first outreach doesn't land. You find a way., • Autonomy: They hire adults. They don't micromanage; they empower., • Impact: You will personally hire the first 50+ people in this office. Your thumbprint will be on everything. Your work matters, and so do you. Here's what's waiting: • Proprietary learning academy with 100+ custom modules, • Mentoring program with a Senior Support Lead, • 360-degree progress reviews with real feedback, not fluff, • Guilds, regular training, and peer learning, • Paid certifications across all major platforms, • Hackathons and innovation days, • Kudos and recognition programs BizFirst is a recruiting firm built for companies that got tired of being account #47. We place talent across AI and data, GovCon, finance and operations, and telecom infrastructure. Every search is led by a senior Delivery Lead managing just 3 to 4 clients total. The result: candidates in days, a single point of contact from kickoff to placement, and a 94% retention rate past 90 days.

Data Analyst, you will: Take ownership of complex data workflows, build scalable analytics pipelines, and contribute to productizing insights using modern data tools such as SQL, dbt, Airflow, Snowflake, and Databricks Analyze large datasets to identify trends, patterns, and insights about coding ou

Job Description Role Overview: • The person will be part of the CDO for a major Insurance client. He/ She will work as an administrator to operate and support the enterprise implementation of Microsoft Purview Data Catalog across a complex, multi-platform data environment., • The administrator will be responsible for the day-to-day configuration, monitoring and maintenance of Purview capabilities, ensuring reliable metadata ingestion, catalog quality, lineage visibility, and compliance alignment across governed data domains., • The role focuses on platform operations and governance execution, working within establish architecture and enterprise governance standards, • Common Skillsets:, • Superior analytical and problem solving skills, • Should be able to work on a problem independently and prepare client ready deliverable with minimal or no supervision, • Administer and operate Microsoft Purview Data Map and Data Catalog environments, • Monitor platform health, scan execution, metadata ingestion, and lineage availability., • Troubleshoot and resolved catalog, scan, and connectivity issues., • Perform routine maintenance, configuration updates, and service optimizations., • Register, configure, and maintain data sources across Azure, M365, on-prem, and approved third-party platforms., • Configure and schedule metadata scans for supported sources., • Manage authentication for scans using managed identities, service principals and Key Vault secrets., • Monitor scan performance, failures, and coverage; take corrective action as needed., • Maintain and enforce enterprise metadata standards within the Purview Catalog., • Manage business metadata, classifications, glossary terms, and custom attributes., • Ensure metadata accuracy, completeness, and consistency across data assets., • Support curation activities including asset certification and publishing., • Enable and validate data lineage ingestion from supported data platforms., • Monitor lineage completeness and visibility for critical data assets., • Assist data consumers and stewards with lineage-based impact analysis., • Configure and manage purview role-based access control within collections, • Provision and maintain access for administrators, data curators, and data stewards., • Enforce domain-based access controls and separation of duties., • Integrate Purview access with Microsoft Entra ID., • Support automated discovery of sensitive data (PII, PCI, PHI), • Assist risk, audit, and compliance teams with catalog evidence and reporting., • Validate scan coverage for regulated data domains., • Provide operational support to data producers, consumers and data stewards., • Respond to access requests, catalog issues, and usage questions., • Maintain operational documentation, runbooks, and standard operating procedures., • Support onboarding of new data domains following established governance patterns., • Bachelors/Master's degree in computer science/engineering, operations research or related analytics areas welcome to apply, • 5+ years experience supporting enterprise data platforms or governance tools and 4+ years hands-on MS Purview experience at enterprise scale, • Hands-on experience administering Microsoft Purview Data Catalog, • Strong Understanding of metadata management, data classification, and lineage concepts., • Working knowledge of Azure data services and enterprise data ecosystems., • Experience managing access controls and identities using Microsoft Entra ID., • Familiarity with regulated data environments and compliance requirements., • Strong troubleshooting, operational support, and documentation skills., • Experience supporting Purview integrations with Synaps, Fabric, Databricks, Snowflake or SQL Server, • Exposure to financial services or other regulated industries., • Experience with financial services or other regulated industries., • Experience with PowerShell, REST APIs, or basic automation for operational tasks., • Prior experience supporting enterprise data governance or stewardship programs., • Superior analytical and problem solving skills, • Outstanding written and verbal communication skills, • Able to work in fast pace continuously evolving environment and ready to take up uphill challenges, • Is able to understand cross cultural differences and can work with clients across the globe

Job DescriptionHinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role: The Dating Outcomes group is responsible for ensuring that people see their most compatible matches, helping them present themselves more effectively, and start meaningful conversations when they match. In short, we help people go on great dates! We are hiring Staff Machine Learning Engineers to help us build the foundations of an AI first dating experience using the latest advancements in the field, leveraging Hinge’s years of preference data. You can expect to build recommendation systems end to end, experiment with using LLMs, photo and mixed input embedding models, as well as build and deploy real-time predictive models that directly impact the experience of millions of users. This is a fast-growing team, and you will have the opportunity to own and define the strategy, vision, and plan for accelerating machine learning at Hinge.Responsibilities • Design and own foundational research and models that power our recommendations ecosystem., • Identify the next step change in our technical capabilities, conduct state-of-the-art applied research, and move them into production using best practices in machine learning engineering., • Design and implement solutions that prioritize availability, scalability, operational excellence, and cost management, while delivering incremental impact to our daters., • Collaborate closely with Directors and VP+ to understand and shape Hinge’s strategic direction, as well as work with other Machine Learning Engineers, Product Managers, Data Engineers, and Scientists to make that a reality., • Coach, mentor, and educate Machine Learning Engineers on current and SOA research, technologies, and best practices of practicing machine learning at scale.What We're Looking For, • Strong programming skills: Proficiency in languages like Python, Java, or C++ and a deep understanding of low-level deep learning computation fundamentals., • System design & architecture: Proven track record of research, training, and deployment of DNNs at scale. Deep understanding of distributed computing for learning, data processing, and inference., • Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. Familiarity with ML serving solutions like Ray, Databricks, KubeFlow, or W&B is a plus., • ML knowledge: Deep understanding of various DNN architectures, track record of building, debugging, and fine-tuning models., • DevOps skills: Track record of deploying, managing, and orchestrating offline and online deep learning models at scale., • Data engineering knowledge: Skills in handling and managing large datasets, including data cleaning, preprocessing, and storage. Deep understanding of batch and streaming pipelines as well as orchestrators like Argo and Airflow., • Collaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds. Proven ability to influence company strategy and direction is a plus., • Strong written communication: The ability to communicate complex ideas and technical knowledge through documentation, • Software leadership skills: A track record of leading projects through completion with quantifiable and measurable outcomes., • 8+ years of experience, depending on education, as an MLE., • 4+ years of experience working in a cloud environment such as GCP, AWS, Azure, and with dev-ops tooling such as Kubernetes., • 4+ years of experience in designing and developing online and production grade ML systems., • 3+ years of experience leading projects with at least 2 other team members through completion. #Hinge .

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. We're rebuilding our data foundation from the ground up - and we're looking for a Senior Analytics Engineer who thrives at the intersection of data infrastructure, business context, and cross-functional collaboration. If you're excited by the idea of owning foundational systems that will power pricing, personalization, experimentation, and more—this role is for you. Location: Hybrid (3 days in office/2 days remote) – New York, NY or Century City, CA About the Team: As a Senior Analytics Engineer at StubHub, you'll be a force multiplier for the entire company. You'll build scalable data products and frameworks that empower analysts, data scientists, and business leaders to make better, faster decisions. You'll bring order to chaos, anticipate data needs before they arise, and partner with stakeholders across engineering, product, and business teams to help us unlock the full value of our data. What You'll Do: • Own the development of cross-functional data models, core business metrics, and self-service dashboards/tools., • Build, document, and maintain robust data pipelines using tools like dbt, Airflow, Snowflake, BigQuery, or Databricks., • Anticipate and solve common data access patterns across product, marketing, finance, and operations teams., • Partner closely with data scientists, analysts, and software engineers—often serving as the bridge between product needs and data infrastructure., • Define and scale analytical frameworks that support experimentation, decision-making, and business health monitoring., • Act as a domain expert in one or more business areas (e.g., pricing, supply, demand, user growth), becoming a go-to thought partner for leadership., • 5 - 10 years of experience in analytics engineering, data engineering, or business intelligence in a fast-paced, high-growth environment., • Expert SQL skills and strong proficiency in Python (or another programming language like Java)., • Hands-on experience building data pipelines and models with tools like dbt, Airflow, and Snowflake (or equivalent)., • Experience with BI tools such as Looker, Tableau, or Mode, and a strong understanding of enabling self-serve analytics., • Familiarity with both batch and streaming data processing patterns., • An ability to translate messy, real-world business problems into elegant, scalable data systems., • A collaborative mindset with a passion for partnering with non-technical stakeholders to unlock insights and drive impact., • Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact., • Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed., • Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options. The anticipated gross base pay range is below for this role. Actual compensation will vary depending on factors such as a candidate's qualifications, skills, experience, and competencies. Base annual salary is one component of StubHub's total compensation and competitive benefits package, which includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits. Salary Range$175,000—$250,000 USDAbout UsStubHub is the world's leading marketplace to buy and sell tickets to any live event, anywhere. Through StubHub in North America and viagogo, our international platform, we service customers in 195 countries in 33 languages and 49 available currencies. With more than 300 million tickets available annually on our platform to events around the world -- from sports to music, comedy to dance, festivals to theater -- StubHub offers the safest, most convenient way to buy or sell tickets to the most memorable live experiences. Come join our team for a front-row seat to the action. For California Residents: California Job Applicant Privacy Notice found hereWe are an equal opportunity employer and value diversity on our team. We do not discriminate on the basis of race, color, religion, sex, national origin, gender, sexual orientation, age, disability, veteran status, or any other legally protected status.

Job DescriptionHinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role Join Hinge as a Senior Machine Learning Engineer, where you'll lead the application of AI and machine learning to effectively mitigate the impact of bad actors, remove policy violating content, and ensure user safety on the platform. Working closely with an expanding Trust & Safety team, you will collaborate with product managers, data scientists, engineers, and analysts to develop impactful AI/ML solutions. In this high-impact position within a small, dynamic team, you'll have the opportunity to play a foundational role in shaping how Hinge utilizes AI and machine learning in various contexts. Your expertise will be instrumental in creating a safer and more meaningful user experience on their journey to find an intimate connection.Responsibilities • Develop, deploy, and maintain end-to-end machine learning models to identify and mitigate bad actors, remove policy-violating content, and ensure user safety., • Design and implement scalable systems (e.g., using Spark, Kubernetes) to preprocess data, run inference, and manage post-processing pipelines., • Define standardized performance metrics, testing protocols, and evaluation processes to measure the effectiveness, identify and mitigate potential risks, and ensure fairness of AI solutions., • Ensure ongoing assessment and refinement of AI solutions, incorporating user feedback, business impact, and emerging ethical considerations., • Collaborate closely with Data Scientists, Data Engineers, Product Managers, Backend Engineers, and the AI Platform Team to ensure a comprehensive and coordinated approach to user safety., • Stay abreast of new trends and research in AI/ML that can be applied to Trust & Safety initiatives to improve detection, user safety, and stay ahead of potential threats.What We're Looking For, • Strong programming skills: Proficiency in languages like Python, Java or C++ and SQL, proficiency in at least one ML stack (e.g., PyTorch), and strong understanding of data pipelines, • Domain expertise: Deep understanding of machine learning, deep learning, and emerging AI technologies. Proven track record of building, debugging, and fine-tuning real-time machine learning models for user facing products. Experience with applying expertise to fraud detection, content moderation, or related fields is a plus ., • System design & architecture: Experience training and deploying large scale ML models. Good understanding of distributed computing for learning and inference., • Evaluation frameworks for LLMs: Experience designing robust testing protocols to ensure effectiveness, fairness, and safety of AI-driven features., • Cloud and data platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. Familiarity with solutions like Databricks, Ray, or KubeFlow is a plus., • Data engineering knowledge: Skills in handling and managing large datasets including, data cleaning, preprocessing, and storage. Good understanding of batch and streaming pipelines as well as orchestrators like Argo and Airflow., • Strategic technical leadership skills: Demonstrated track record of guiding teams through complex ML projects in alignment with product and business objectives., • Collaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds., • Strong written communication: The ability to communicate complex ideas and technical knowledge through documentation.Prior Experience, • 4+ years of experience, depending on education, as an MLE or data scientist. Previous experience working in Trust & Safety or related fields (e.g., fraud detection, content moderation, compliance) is preferred., • 2+ years of experience in applying end-to-end machine learning models, including data collection, model training, deployment, and monitoring in an industry setting, • 1+ years of experience integrating LLMs in real-world applications with the appropriate baseline metrics and evaluation methodologies., • 1+ years of experience utilizing ML infrastructure components such as a feature store, model training environment, model serving environment, observability, workflow orchestrator, etc. #Hinge .

Job Description Our client RibbitZ is looking for Senior Software Engineer-LLM Evaluation to work remotely. As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go; evaluating and refining AI-generated code for efficiency, scalability, and reliability; and working with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? • Working on AI model training initiatives by curating code examples, building solutions, and correcting code in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go., • Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable., • Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks., • Build agents that can verify the quality of the code and identify error patterns., • Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them, • Several years of software engineering experience (+5 years), including, 2+years of continuous full-time experience at a top-tier product company (e.g., Google, Stripe, Amazon, Apple, Meta, Netflix, Microsoft, Datadog, Dropbox, Shopify, PayPal, IBM Research)., • Strong expertise in building full-stack applications and deploying scalable, production-grade software using modern languages and tools., • Deep understanding of software architecture, design, development, debugging, and code quality/review assessment., • Software Engineering profiles only, • Candidates must be based in the US, • 5+ years of relevant experience, • Google (Alphabet), • Apple, • Amazon, • Meta (Facebook), • Netflix, • Microsoft, • Tesla, • NVIDIA, • Adobe, • Salesforce, • Github, • Atlassian, • hashiCorp, • Databricks, • Snowflake, • Cloudflare, DigitalOcean, MongoDB, • Elastic, Confluent, Airbnb, Dropbox, • Stripe, Palantir, Uber, Lyft, • Square (Block), Twilio, Snap Inc., • Pinterest, Figma, Oracle, Cisco, • Paypal, Doordash, Rivian, Reddit, Coinbase, Splunk, • Spotify, Goldman Sachs, Morgan Stanley, • JP Morgan Chase, Capital One, • Plaid, Shopify, Intuit, Workday, ServiceNow, • Hugging Face, VMware, Brex, Wise, • Epic Games, Unity Technologies, • Activision Blizzard, Riot Games, Valve, • Huawei, Bloomberg, ByteDance, • Alibaba, Baidu, Notion, Klarna, • Instacart, Zillow.

Job DescriptionAbout Us Madison Energy Infrastructure is one of the largest, and fastest-growing, commercial and industrial solar asset owners in the country. We manage hundreds of distributed generation sites across the U.S., with production data flowing in hourly and financial outcomes tied directly to the accuracy of our reporting. We believe great asset management starts with great data. Not dashboards for dashboards' sake — but accurate, timely, decision-ready information that operations, finance, and leadership can trust. We're scaling fast. That means complexity, volume, and real responsibility. We need people who can keep up — and raise the bar while they're at it. About You You are disciplined, data-oriented, and dependable. You know the Excel shortcuts, you build pivot tables in your sleep, and you are curious enough to see whether Claude can generate a report faster than you can and disciplined enough to validate every number it produces. You take full ownership of your work. You are fluent in SQL, with working knowledge of Python and or R, and you are comfortable using code when it is the right tool for the job. You understand the expectations of a corporate environment where accuracy, responsiveness, and follow through matter and you perform well under that pressure. You are comfortable operating in Snowflake, PowerBI, Salesforce, and Excel, and you know where logic belongs. You manage multiple requests, communicate priorities clearly, and close the loop. You want to be in a growth environment. You want responsibility, high standards, and the opportunity to earn trust by delivering consistently. And yes you probably enjoy the quiet satisfaction of a clean model, a reconciled dataset, and a report that holds up when it really counts. The Role As a Senior Data Analyst, Asset Management, you will be responsible for the daily-critical reporting and analytical backbone of our asset management operation. This is not a passive reporting role. You will own production analysis, financial views, and data automation workflows that the business relies on every day. If something breaks, you'll find it. If something doesn't make sense, you'll dig in. If a better system is needed, you'll help build it. You'll work closely with Asset Management, Finance, and our Senior Manager of Data Analytics to ensure that what we see, what we bill, and what we report is correct. Key Responsibilities • Own daily, weekly, and monthly production reporting across a large and growing solar portfolio (AlsoEnergy → Snowflake → PowerBI), • Ensure production, financial, and site-level data is accurate, reconciled, and dependable, • Turn around one-off reporting requests quickly and accurately, understanding the context behind the data, • Maintain and tweak the PowerBI dashboards that answer real business questions, • Use Snowflake as the system of calculation and truth, not Excel hacks, • Manage and maintain data automation workflows, including:, • Microsoft PowerApps / Power Automate flows, • Salesforce syncs and reporting layers, • Identify data integrity issues proactively (communications loss, missing data, inconsistencies), • Support Asset Management and Finance with clean, reliable analysis for decision-making, • Communicate clearly about priorities, timelines, and tradeoffs when multiple requests are in flight, • Continuously improve reporting systems so recurring questions become self-serviceWhat You Bring, • 4+ years in a finance, accounting, or data analysis role, • 3+ year exposure to solar or energy data (nice to have, not required), • 2+ years hands-on experience with Salesforce (reporting, dashboards, data structure), • 2+ years working directly in Snowflake/DataBricks, • 10+ years of Excel experience, • 2+ years building reports and models in PowerBI, • 1+ year working with Microsoft PowerApps / Power Automate, • Strong skills in SQL, Python, and/or R, • Background in statistics and analytical thinking, • Obsessive attention to detail — your outputs don't need rework, • Ability to manage complex workflows and multiple priorities without dropping balls, • Comfortable in a fast-moving, scaling environment, • Proactive, helpful, and willing to dig in, • Strong desire to learn and get better, • Professional experience with Zoom, Slack, Outlook, Teams, Adobe, etc., • PTO and company holidays, • Medical, dental, vision, • Employer-paid short-term disability, long-term disability, life insurance, • 401(k) and company match, • Professional development stipend, • Strong culture of collaboration, performance, and personal growth$90,000 - $120,000 a yearThe actual salary offered may vary depending on job-related factors including, but not limited to knowledge, skills, experience and location.How We WorkAt Madison Energy Infrastructure, we believe in the power of clean energy infrastructure to drive real impact—for our customers, our partners, and the communities we serve. We've quickly emerged as a preeminent developer, investor, and operator of distributed generation, helping organizations across sectors meet their energy goals with certainty, speed, and trust. Our robust portfolio consists of over half a gigawatt of clean energy infrastructure projects across more than 25 states.We're building a team that thrives on ownership and ambition. As we expand into direct, end-to-end services for Fortune 500 companies, public entities, and nonprofits alike, we rely on collaborative thinkers who bring structure to complexity, energy to execution, and curiosity to every challenge.Our environment is fast-paced and outcome-oriented—but grounded in the belief that how we work together matters as much as what we deliver. If you're excited to shape the future of clean energy and be part of a high-performance, high-integrity team, we'd love to meet you.Madison Energy Infrastructure is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.