Sr. Machine Learning Engineer

hace 1 día


España buscojobs España A tiempo completo

Looking for a highly skilled Senior Machine Learning Engineer to join our team. As a Senior ML Engineer, you will play a key role in developing and deploying cutting-edge machine learning models and algorithms to solve complex business problems. You will work closely with cross-functional teams to design, implement, and optimize ML solutions that drive business impact.Responsibilities :Research, design, and implement machine learning algorithms and models to solve business challengesCollaborate with data scientists and domain experts to gather requirements, analyze data, and validate hypothesesDevelop scalable and efficient machine learning pipelines for data preprocessing, feature engineering, model training, and evaluationDesign and implement experiments to evaluate model performance, interpret results, and iterate on models to improve accuracy and efficiencyDeploy machine learning models into production systems and monitor their performance in real-world applicationsWork closely with software engineers to integrate machine learning models into existing systems and develop new featuresStay up-to-date with the latest advancements in machine learning research and apply them to solve business problems effectivelyMentor junior team members and provide technical guidance on best practices in machine learning development and deploymentMandatory Requirements :Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or a related field. Advanced degree (MS / PhD) preferred4-7 years of experience in machine learning, data science, or a related field, with a proven track record of developing and deploying machine learning models in production environmentsStrong programming skills in Python and proficiency in machine learning libraries such as TensorFlow, PyTorch, or scikit-learnExperience with big data technologies such as Apache Spark for data processing and distributed computingSolid understanding of machine learning algorithms, statistical methods, and deep learning techniquesExperience with cloud platforms such as AWS, Azure, or GCP, and familiarity with deploying ML models using containerization technologies (Docker, Kubernetes)Excellent problem-solving skills and ability to work independently as well as part of a team in a fast-paced environmentStrong communication skills with the ability to explain complex concepts and findings to both technical and non-technical stakeholdersPreferred Requirements :Experience with natural language processing (NLP) or computer vision (CV) applicationsKnowledge of reinforcement learning techniques and their applicationsFamiliarity with version control systems (e.g., Git) and agile software development methodologiesBenefits :Competitive salary and benefits packageOpportunities for professional development and career advancementExposure to cutting-edge technologies and industry best practicesDynamic and collaborative work environmentPotential for remote work options and flexible work hoursLocation : Onsite, Remote, Hybrid
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