Machine Learning Engineer

hace 2 semanas

Monterrey, México Divelement Web Services A tiempo completo

Job Summary: We are seeking a talented and experienced Machine Learning Engineer to join our team. As a Machine Learning Engineer, you will be responsible for designing, implementing, and deploying machine learning models and algorithms to solve complex business problems. You will collaborate with cross-functional teams to develop innovative solutions that leverage the power of machine learning.**Responsibilities**:- Research, design, and implement machine learning models and algorithms to solve business problems and extract actionable insights from data.- Collaborate with data scientists, software engineers, and domain experts to understand project requirements and translate them into machine learning solutions.- Preprocess and clean large datasets, and perform feature engineering to enhance model performance.- Train, evaluate, and fine-tune machine learning models using appropriate evaluation metrics and techniques.- Implement and optimize machine learning models for efficient deployment and inference.- Conduct experiments, analyze results, and iteratively improve model performance and accuracy.- Stay up-to-date with the latest advancements in machine learning techniques, frameworks, and tools, and recommend their adoption when appropriate.- Collaborate with the data engineering team to ensure the availability, quality, and integrity of data.Qualifications:- Bachelor's degree in Computer Science, Data Science, or a related field. A master's or Ph.D. degree is a plus.- Proven experience as a Machine Learning Engineer, Data Scientist, or a similar role, with a track record of successfully delivering machine learning solutions.- Strong proficiency in programming languages such as Python or R.- Solid understanding of machine learning algorithms, statistical analysis, and data preprocessing techniques.- Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn.- Familiarity with cloud platforms and their machine learning services (e.g., AWS SageMaker, Google Cloud ML Engine) is a plus.- Knowledge of big data technologies and distributed computing frameworks (e.g., Hadoop, Spark) is desirable.- Strong software engineering skills, including version control (e.g., Git), testing, and debugging.- Excellent problem-solving skills and the ability to analyze and interpret complex data.- Strong communication skills to collaborate with cross-functional teams and present findings to non-technical stakeholders.Additional Information:- This is a full-time position- Competitive salary- Opportunities for professional growth and career advancement.

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