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Machine Learning Engineer
hace 2 meses
We are a leading provider of AI and data strategy services, empowering enterprise executives to define and execute large-scale transformations. Our team of experts helps organizations implement AI across operations, ensuring they become future-proof.
With a strong focus on strategy, architecture, cloud engineering, analytics, artificial intelligence, and machine learning, we enable our clients to unlock the full potential of their data.
We're committed to building a brighter future and creating future-proof, ethical organizations. Our team is passionate about innovation, collaboration, and making a meaningful impact.
Job SummaryWe're seeking a highly skilled Machine Learning Engineer to join our growing team. As a key member of our team, you will work on various applied research projects, leveraging state-of-the-art machine learning techniques to drive business value.
You will be responsible for deploying machine learning models, collaborating with cross-functional teams, and ensuring seamless integration with our clients' operations.
Key Responsibilities- Design and develop machine learning models using Python and popular libraries such as Scikit-learn, TensorFlow, and PyTorch.
- Collaborate with data scientists, engineers, and product managers to integrate machine learning solutions into our clients' operations.
- Work closely with our data engineering team to ensure seamless data flow and integration.
- Develop and maintain high-quality code, adhering to industry standards and best practices.
- Contribute to the development of our AI and data strategy, identifying opportunities for innovation and growth.
- Strong background in machine learning, with a focus on deep learning and neural networks.
- Proficiency in Python programming and experience with popular machine learning libraries.
- Excellent problem-solving skills, with the ability to analyze complex data sets and develop effective solutions.
- Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.
- Experience with data visualization tools, such as Matplotlib, Seaborn, and Power BI.
- Understanding of Unix/Linux operating systems and familiarity with REST API and microservices.
- Experience with data and AI platforms, such as Databricks, Dataiku, or Snowflake.
- Familiarity with web development and experience with front-end technologies.
- A competitive salary and benefits package.
- A yearly education budget to support your professional growth.
- A sport budget to promote a healthy work-life balance.
- A dynamic and collaborative work environment, with opportunities for growth and development.
- A chance to work with a talented and experienced team, making a meaningful impact in the AI and data industry.