We make supply chains dynamic with predictive data and AI.

Portcast

Senior Machine Learning Engineer

- This assessment gives us an idea of your C++ skills - Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc. - 10 Multiple Choice questions - Average time to complete: 7 to 10 minutes

Let's assess your Data Structures! 📋 &nbsp;- This assessment gives us an idea of your problem solving skills using DSA - Companies that evaluate this skillset in interviews: MPL, LILA Games, GSN Games, etc. - 10 Multiple Choice questions - Average time to complete: 7 to 10 minutes

Let's assess your Programming Patterns! 📋- This assessment gives us an idea of your code architecture skills - Companies that evaluate this skillset in interviews: Dirtcube, PTW, Playshifu, etc. - 10 Multiple Choice questions - Average time to complete: 7 to 10 minutes

Let's assess your OOPs skills! 📋- This assessment gives us an idea of your fundamental OOPS concepts and Solid principles skills - Companies that evaluate this skillset in interviews: Hitwicket, GSN Games, Tomo Club, etc. - 10 Multiple Choice questions - Average time to complete: 7 to 10 minutes

Let's assess your Unity Skills 📋 - This assessment gives us an idea of your Unity fundamentals - Companies you can apply for after taking this assessment: Godspeed games, Salvation Games, nCore Games, etc. - 9 questions: 9 Multiple Choice - Minimum score needed to qualify: 80% - Average time to complete: 5 to 10 minutes

DraftKings

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As a Senior CRM QA Associate at DraftKings, you'll be a subject matter expert on QA for in-app messages, push notifications, and emails across various products.  You will analyze QA outcomes, identify trends, optimize processes, and ensure compliance.  Responsibilities include reporting on pre/post-QA error levels, collaborating with stakeholders to improve workflows, anticipating and mitigating risks, mentoring junior team members, and developing scalable operational processes and training resources.  The role requires strong attention to detail, excellent communication, and experience in a fast-paced environment.  Experience with tools like Braze, JIRA, Wrike, and Tableau is preferred. The role involves working a flexible schedule to accommodate the sports calendar, including nights, weekends, and holidays.

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<div data-automation-id="jobPostingDescription" class="css-184k0e0">We’re defining what it means to build and deliver the most extraordinary sports and entertainment experiences. Our global team is trailblazing new markets, developing cutting-edge products, and shaping the future of responsible gaming. Here, “impossible” isn’t part of our vocabulary. You’ll face some of the toughest but most rewarding challenges of your career. They’re worth it. Channeling your inner grit will accelerate your growth, help us win as a team, and create unforgettable moments for our customers. <h2>The Crown Is Yours</h2>As a Senior CRM QA Associate, you will take ownership of Quality Assurance efforts, lead team training initiatives, and ensure the seamless execution of campaigns for our marketing channels across all DraftKings products like Sportsbook, Casino, and Daily Fantasy Sports. In this role, you will play a critical part in shaping QA processes and maintaining compliance with internal best practices and regulatory requirements to deliver an exceptional customer experience.<h2>What you’ll do as a Senior CRM QA Associate</h2><ul><li>Be a subject-matter expert on QA efforts for in-app messages, push notifications, and email communications.</li><li>Analyze QA outcomes to identify trends, optimize processes, and ensure compliance standards are consistently met across all channels.</li><li>Report stakeholder progress on pre-QA and post-QA error levels to identify trends and opportunities for improvement.</li><li>Collaborate with cross-functional stakeholders to improve QA workflows and align with broader organizational objectives.</li><li>Anticipate potential risks in marketing workflows and implement proactive solutions to mitigate compliance or operational challenges.</li><li>Provide mentorship, strategic guidance, and training to rotational QA team members to ensure consistency and excellence in QA efforts.</li><li>Develop and refine scalable operational processes, training resources, and documentation to support team growth and efficiency.</li></ul>&nbsp;<h2>What you’ll bring&nbsp;&nbsp;&nbsp;</h2><ul><li>A Bachelor’s degree in Marketing, Operations, Business, or a related field.</li><li>Exceptional attention to detail with the ability to manage multiple priorities simultaneously.</li><li>Strong oral and written communication skills with a strong desire to produce high-quality work.</li><li>Proven experience as a self-starter who is comfortable in a fast-paced, quickly changing environment.</li><li>Experience navigating compliance requirements within highly regulated industries is a plus.</li><li>Demonstrated expertise in marketing, data analysis, project management, and operational leadership with experience using tools such as Braze, JIRA, Wrike, and Tableau.</li><li>Ability to work a flexible schedule to reflect the sports calendar, including some nights, weekends, and holidays.</li></ul>#LI-GR1<h2>Join Our Team</h2>We’re a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don’t worry, we’ll guide you through the process if this is relevant to your role.The US base salary range for this full-time position is 70,400.00 USD - 88,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.</div>

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This assessment gives us an idea of your C++ skills- Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc.- 10 Multiple Choice questions- Average time to complete: 7 to 10 minutes

Let's assess your Data Structures! - This assessment gives us an idea of your problem solving skills using DSA- Companies that evaluate this skillset in interviews: MPL, LILA Games, GSN Games, etc.- 10 Multiple Choice questions

Data Structures and Algorithms

Let's assess your Programming Patterns! ????- This assessment gives us an idea of your code architecture skills- Companies that evaluate this skillset in interviews: Dirtcube, PTW, Playshifu, etc.

Programming Patterns

Let's assess your OOPs skills! ????- This assessment gives us an idea of your fundamental OOPS concepts and Solid principles skills- Companies that evaluate this skillset in interviews: Hitwicket, GSN Games, Tomo Club, etc.

Object Oriented Programming

Let's assess your Unity Skills ????- This assessment gives us an idea of your Unity fundamentals- Companies you can apply for after taking this assessment: Godspeed games, Salvation Games, nCore Games, etc.

Unity Game Engine

As a Senior Machine Learning Engineer at Portcast, you'll manage the entire ML lifecycle, from research and model building to deployment and scaling.  This involves developing robust algorithms for visibility, prediction, demand forecasting, and freight auditing. You'll ensure model accuracy, reliability, and scalability, implementing MLOps best practices and working with large datasets and big data technologies. Responsibilities include designing algorithms, performing feature engineering, model tuning, and building real-time prediction models.  The role requires expertise in deploying Generative AI models, including RAG and AI Agents, and proficiency in prompt engineering.

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 About Us: Portcast is a venture-backed startup which predicts global trade flows to help logistics and shipping companies become more profitable. We are a predictive analytics company that offers a fast-paced, innovative environment where you will be empowered to sell our AI-product to C-level executives. We are customer-obsessed and are constantly working to provide our customers access to actionable and insightful data to build resilient supply chains. Based in Singapore, and backed by leading VCs and senior industry advisors, Portcast is a team of young tech and industry talent building a game-changing product for the logistics and shipping industry. About the role: We are looking for a Senior Machine Learning Engineer who specializes in deploying ML and AI models into production. You will handle the full lifecycle—from research and model building to deployment and scaling in real-world environments. This hands-on role requires designing robust algorithms that address key business problems, particularly in visibility, prediction, demand forecasting, and freight audit. Your focus will be on ensuring model accuracy, reliability, and scalability in production systems. What You’ll Do: <ul><li>Develop and deploy machine learning models from initial research to production, ensuring scalability and performance in live environments</li><li>Own the end-to-end ML pipeline, including data processing, model development, testing, deployment, and continuous optimization</li><li>Design and implement machine learning algorithms that address key business problems that our product focuses on in visibility, prediction, demand forecasting and freight audit</li><li>Ensure reliable and scalable ML infrastructure, automating deployment and monitoring processes using MLOps best practices</li><li>Perform feature engineering, model tuning, and validation to ensure that models are production-ready and optimized for performance</li><li>Build, test, and deploy real-time prediction models, maintaining version control and performance tracking </li></ul>
To thrive in this role, you must have: <ul><li>Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related field</li><li>5+ years of experience in building, deploying, and scaling machine learning models in production environments</li><li>Experience deploying Generative AI models in production environments, with a strong understanding of Retrieval-Augmented Generation (RAG), AI Agents, and expertise in prompt engineering techniques</li><li>Proven experience with the full product lifecycle, taking models from R&amp;D to deployment in fast-paced environments</li><li>Experience working in a product-based company, preferably within a startup environment with early-stage technical product development</li><li>Strong expertise in Python and SQL, along with experience in cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)</li><li>Experience with real-time data processing, anomaly detection, and time-series forecasting in production</li><li>Experience working with large datasets and big data technologies like Spark and Kafka to build scalable solutions</li><li>First-principles thinking and excellent problem-solving skills, with a proactive approach to addressing challenges</li><li>A self-starter mentality, with the ability to take ownership of projects from end to end and work autonomously to drive results</li><li>Excellent communication skills, with the ability to convey complex technical concepts and a strong customer-obsessed mindset </li></ul>
Join us at Portcast and be part of a high performing team that is shaping the future of the logistics and shipping industry through cutting-edge predictive analytics!
 
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