Job Responsibilities 1. Stay up-to-date with thelatest advancements in machine learning by exploring and drawinginsights from state-of-the-art research papers. Leverage thisknowledge to design and develop innovative machine learning modelstailored to our specific needs. 2. Translate conceptual models intopractical implementations, utilizing programming languages andmachine learning frameworks. Train and fine-tune models to achieveoptimal performance and accuracy. 3. Drive the deployment processof machine learning models into production environments. Collaborate with cross-functional teams to ensure smoothintegration and scalability of the models. 4. Apply the best MLOps(Machine Learning Operations) practices and principles throughoutthe entire modeling workflow. Streamline processes for efficientdevelopment, testing, and deployment of machine learning solutions.5. Dive deep into problem domains to gain a comprehensiveunderstanding of challenges and opportunities. Analyze andpreprocess data to extract valuable insights for model improvement.6. Propose and experiment with novel ideas and approaches to tacklecomplex problems. Explore creative ways to leverage data anddevelop new concepts that could potentially revolutionize thefield. 7. Collaborate with a team of skilled professionals,including data scientists, engineers, and domain experts. Foster acollaborative environment that encourages knowledge sharing andcontinuous learning. Minimum Requirements 1. Bachelor degree in Computer Science, Software or Electrical Engineering, or comparableprofessional experience in Machine Learning related areas. 2.Excellent written and verbal communication skills in English. 3.Experience working with native ML orchestration systems such as Kubeflow, Step Functions, MLflow, Airflow, and TFX. 4. Experiencein technologies like Spark, Kafka, Spark streaming, Flink etc. 5.Expertise in MLOps and model integration into larger-scaleapplications. 6. Experience with implementing and scaling featurestore across organization. 7. Strong programming skills in Pythonand experience with popular machine learning libraries/frameworks(e.g., TensorFlow, PyTorch). 8. Expertise in using Docker and Kubernetes. 9. Strong problem-solving skills and ability to analyzeand translate business requirements into technical solutions. 10. Ability to read, interpret, and apply research papers in machinelearning. A strong grasp of foundational machine learning conceptsis essential. 11. Knowledge of agile methodologies and ability towork in a fast-paced and evolving environment. Willingness to learnand adapt to new technologies and methodologies. About XmartlabsXmartlabs, https://xmartlabs.com/ is a boutique Product DevelopmentStudio with offices in San Francisco and Montevideo. Since 2012, ithas partnered with top-tier startups and enterprises to design,develop, and launch innovative software. Its mission is to be astrategic partner for innovators, creating great products whilefostering knowledge and human potential. With a combination ofpassion for technology, user empathy, and extensive productdevelopment experience, Xmartlabs helps its clients achieve theirbusiness goals. #J-18808-Ljbffr Engineering