Zazz

Machine Learning Engineer

Artificial Intelligence Engineer

Cloud Engineer (AWS)

Java Developer

DevOps Engineer (Docker and Kubernetes certified)

Cloud Engineer (Azure)

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This remote position seeks an experienced Machine Learning Engineer with 5-8 years of hands-on experience in designing, developing, and deploying ML models and AI solutions.  Responsibilities include developing and deploying ML models for various applications (recommendation systems, NLP, predictive analytics), designing scalable data pipelines and model training workflows, working with large-scale structured and unstructured data, optimizing models for performance and scalability, collaborating with cross-functional teams, staying updated on ML advancements, conducting A/B testing, and ensuring responsible AI practices. The role requires strong programming skills (Python, Scala, or Java), proficiency in ML frameworks (TensorFlow, PyTorch, Scikit-learn), experience with cloud platforms (AWS, GCP, or Azure), and understanding of data structures and algorithms.

<div id="cw-rich-description" style="color:#171B27; margin-bottom: 32px;"> 
 
 
 This is a remote position.<h3>Job Summary: </h3>We are seeking an experienced Machine Learning Engineer to join our dynamic team. The ideal candidate will have 5-8 years of hands-on experience in designing, developing, and deploying machine learning models and AI-driven solutions. You will work closely with data scientists, software engineers, and product teams to build scalable ML solutions that drive business impact. 
 <div>
 <hr>
 
 </div><h2>Key Responsibilities: </h2>
 <ul>
 <li>Develop and deploy machine learning models for various applications, including recommendation systems, NLP, and predictive analytics. </li>
 <li>Design and implement scalable data pipelines and model training workflows. </li>
 <li>Work with large-scale structured and unstructured data, ensuring high-quality data processing and feature engineering. </li>
 <li>Optimize and fine-tune ML models for performance, accuracy, and scalability. </li>
 <li>Collaborate with cross-functional teams, including data scientists, product managers, and software engineers, to integrate ML models into production systems. </li>
 <li>Stay updated with the latest advancements in machine learning, deep learning, and artificial intelligence. </li>
 <li>Conduct A/B testing and evaluate model performance using appropriate metrics. </li>
 <li>Ensure responsible AI practices, including model explainability, fairness, and security. </li>
 </ul><h3>​ </h3>
 <div>
 
 </div>
 
 <h3>Requirements</h3><h2>Required Qualifications: </h2>
 <ul>
 <li>5-8 years of experience in machine learning, deep learning, or AI engineering. </li>
 <li>Strong programming skills in Python, Scala, or Java. </li>
 <li>Proficiency in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). </li>
 <li>Experience with cloud platforms (AWS, GCP, or Azure) for deploying ML models. </li>
 <li>Expertise in big data technologies (Spark, Hadoop, Kafka) is a plus. </li>
 <li>Experience with MLOps practices, including CI/CD pipelines for ML models. </li>
 <li>Solid understanding of data structures, algorithms, and software engineering principles. </li>
 <li>Strong problem-solving skills and ability to work independently. </li>
 </ul>
 <div>
 <hr>
 
 </div><h2>Preferred Qualifications: </h2>
 <ul>
 <li>Experience with natural language processing (NLP), computer vision, or reinforcement learning. </li>
 <li>Familiarity with containerization technologies (Docker, Kubernetes) for model deployment. </li>
 <li>Experience in handling real-time streaming data and working with time-series forecasting. </li>
 <li>Background in statistics, optimization, or mathematical modeling. </li>
 </ul>
 <div>
 <hr>
 
 </div><h2>Education: </h2>
 <ul>
 <li>Bachelor's or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. </li>
 </ul><h2> </h2>
 <div>
 
 </div>
 
 
 </div>

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DraftKings Inc. (Nasdaq: DKNG) is a digital sports entertainment and gaming company. It’s simple, at DraftKings, we believe life’s more fun with skin in the game. For that reason, we’re committed to responsibly creating the world’s favorite games and betting experiences. Headquartered in Boston, with offices around the globe, we believe we can continue to define what it means to be a technology company in sports entertainment. We love what we do, and think you will too.

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Machine Learning Engineer

Artificial Intelligence Engineer

Cloud Engineer (AWS)

Java Developer

DevOps Engineer (Docker and Kubernetes certified)

Cloud Engineer (Azure)

Cybersecurity Analyst

Machine Learning Engineer

Java Developer

Job Details