4 Ml Principles Jobs

We are seeking a Principal Product Manager to play a crucial role in shaping the future of our unified product experiences for Onclusive customers. Your primary objective is to streamline, consolidate, expedite, and innovate the data ingestion and platforms that form the backbone of Onclusive's core products. You will spearhead the product vision, strategizing, and implementation for our content strategy, harmonizing a growing array of digital content and data into one of the world's largest media hubs at a significant scale. The data platform at Onclusive serves as a fundamental driving force behind our operational scalability and rapid evolution, offering a compliant data infrastructure that caters to the expanding requirements of our business. Your key responsibilities will include: - Gaining profound insights into customer needs, analytics, and AI industry advancements to shape the product vision and strategy, thereby maximizing business and customer value. - Collaborating with pertinent product, engineering, data science, and analytics teams to develop product roadmaps that align with the product vision and strategy. - Engaging closely with senior management and engineering units to define and synchronize with stakeholders on vision, strategy, and roadmap. - Crafting an integrated roadmap for data ingestion, storage, enrichment, and presentation across company products and technology stack in line with business demands. - Crafting user stories with acceptance criteria that can be utilized to formulate product specifications and architecture. - Achieving milestones and OKRs in harmony with our product vision and strategy, as well as business objectives. - Keeping abreast of industry advancements, conducting comprehensive buy vs. build analysis to align with cutting-edge solutions, promoting ROI-driven decisions. - Cultivating a collaborative atmosphere with Onclusive engineers, establishing continuous feedback loops to ensure the resolution of pertinent issues and the maximization of impact. - Demonstrating eagerness to tackle technical and strategic challenges in innovative ways, and utilizing data and intuition to make informed choices amidst ambiguity and complexity. - Collaborating closely with product marketing, customer operations, customer success, and technical operations to initiate training programs and knowledge base dissemination. Qualifications: - A degree in business, product & technology, data analytics, data science, computer science, or a related field, alongside practical experience. - Proficient understanding of ML principles and Gen-AI innovations. - Proven track record of operating in an agile environment with product lifecycle management responsibilities. - Demonstrated expertise in technologies such as Compute engines, Orchestration (Airflow, Kubernetes, etc.), and Lakehouse (S3, etc.). - Strategic thinker capable of bridging customer use cases with technological solutions and envisioning the end-to-end experience holistically. - Ability to oversee a portfolio of diverse projects, managing short-term objectives alongside long-term vision. - Demonstrated capability to lead cross-functional teams and navigate complex projects. - Proven success in implementing the entire lifecycle of application and data platform development, releases, and maintenance. Preferred qualifications include experience in areas like SaaS, data warehousing/lakehousing, data job orchestration, batch and stream processing systems (e.g., Kafka, Spark), data cataloging, discoverability, life-cycle management, ML/AI platforms, and BI tools for result presentation in dashboards such as Power BI and Tableau.,

As a Machine Learning Operation Engineer at Onclusive, you will play a crucial role in deploying, scaling, and optimizing backend algorithms, data ingestion pipelines, machine learning services, and data platforms. Your expertise will be utilized to support the analysis of vast amounts of text and analytics data, helping to solve challenging marketing problems using Onclusive's billions of online content data points. Your responsibilities will include designing and building scalable machine learning services and data platforms, utilizing benchmarks and metrics to measure and improve services, managing systems processing tens of millions of jobs per day, researching and implementing cutting-edge algorithms, and collaborating with data scientists and machine learning engineers on ML, AI, and NLP techniques for article analysis and attribution. Additionally, you will deploy, manage, and optimize inference services on autoscaling fleets with GPUs and specialized inference hardware. The ideal candidate for this role will have a degree (BS, MS, or Ph.D.) in Computer Science or a related field, accompanied by hands-on experience. Proficiency in Python with a strong understanding of Object-Oriented Programming (OOP) principles is required. Knowledge of containerization (preferably Docker), experience with Kubernetes and Infrastructure as Code (IAC) for AWS (preferably Terraform), familiarity with Version Control Systems (VCS) like Git and GitHub, CI/CD (preferably GitHub Actions), and good understanding of ML principles are essential. Data Engineering experience and exposure to deep learning tech-stacks like Torch/Tensorflow and Transformers are highly desired. Onclusive offers a global, fast-growing environment with opportunities for skill development and career growth. In return for your contributions, you can expect a competitive salary and benefits, hybrid working arrangements, a supportive team passionate about their work, and a focus on wellbeing and work-life balance through initiatives such as flexible working and mental health support.,

About the Role: As a Machine Learning Operation Engineer at Onclusive, your primary responsibility will be to deploy, scale, and optimize backend algorithms, robust data ingestion pipelines, machine learning services, and data platforms to handle vast amounts of text and analytics data. You will leverage your technical expertise and Big Data analytics skills to address complex marketing challenges using Onclusive's extensive online content data. The role of an ML Ops Engineer is crucial to the success of Onclusive. Your responsibilities include designing and constructing scalable machine learning services and data platforms, utilizing benchmarks and metrics to enhance services, overseeing a system processing tens of millions of jobs daily, researching and implementing cutting-edge algorithms for data analysis, collaborating with data scientists and ML engineers on implementing ML, AI, and NLP techniques, and managing inference services on autoscaling fleets with GPUs and specialized hardware. Who you are: You hold a degree (BS, MS, or Ph.D.) in Computer Science or a related field, supported by practical experience. You should have a minimum of 2 years of experience with Kubernetes and/or Terraform, proficiency in Python with a solid grasp of Object-Oriented Programming principles, knowledge of containerization (preferably Docker), experience in Infrastructure as Code (IAC) for AWS (preferably Terraform), familiarity with Version Control Systems (particularly Git and GitHub) and CI/CD (preferably GitHub Actions), understanding of release management with a focus on testing and quality assurance, good grasp of ML principles, and desirable experience in Data Engineering tools like airflow, dbt, and meltano. Exposure to deep learning tech-stacks such as Torch, Tensorflow, and Transformers is a plus. What we can offer: Joining a rapidly growing global company, you will have the opportunity to enhance your skills and advance your career. In return for your contributions, we provide a competitive salary and benefits, a hybrid working environment within a team passionate about their work and supporting each other's development, and a company culture that prioritizes wellbeing and work-life balance through initiatives like flexible working arrangements and mental health support.,

As a Machine Learning Operation Engineer at Onclusive, your primary focus will be on deploying, scaling, and optimizing backend algorithms, data ingestion pipelines, machine learning services, and data platforms. You will be working with vast amounts of text and analytics data to solve challenging marketing problems using your technical knowledge and Big Data analytics skills. Your role is crucial to the success of Onclusive. Your responsibilities will include designing and building scalable machine learning services and data platforms, utilizing benchmarks and metrics to measure and improve services, managing systems processing tens of millions of jobs per day, researching and implementing cutting-edge algorithms, and collaborating with data scientists and machine learning engineers to implement ML, AI, and NLP techniques for article analysis and attribution. You will also be responsible for deploying, managing, and optimizing inference services on autoscaling fleets with GPUs and specialized inference hardware. To excel in this role, you should have a degree in Computer Science or a related field, along with hands-on experience. A minimum of 2 years of experience in Kubernetes and/or Terraform is required. Proficiency in Python with a solid understanding of Object-Oriented Programming (OOP) principles is essential. You should also have knowledge of containerization (preferably Docker), Infrastructure as Code (IAC) for AWS (preferably Terraform), Version Control Systems (particularly Git and GitHub), and CI/CD practices (preferably GitHub Actions). An understanding of release management, ML principles, and Data Engineering experience (e.g., airflow, dbt, meltano) is highly desired. Exposure to deep learning tech-stacks like Torch/Tensorflow and Transformers will be beneficial. At Onclusive, we offer a competitive salary and benefits along with opportunities for skill development and career growth. We support a hybrid working environment and prioritize employee wellbeing and work-life balance with initiatives such as flexible working arrangements and mental health support. Join our passionate team dedicated to delivering exceptional work and supporting each other's development.,