
Intelligent Systems Specialist
7 days ago
About us, we are a leading data science consultancy providing innovative solutions that drive measurable results across various industries. We thrive on creativity and technical excellence, fostering an inclusive and collaborative work environment.
Job Overview
We seek a skilled Machine Learning Engineer to join our talented team. This role involves designing, implementing, and optimizing machine learning models addressing complex business challenges. You will collaborate closely with data scientists, software engineers, and product managers to integrate machine learning solutions into existing systems and create scalable architectures.
Key Responsibilities
- Develop scalable machine learning models and algorithms to solve specific business problems.
- Work collaboratively with cross-functional teams to gather requirements and identify opportunities for machine learning applications.
- Implement and optimize model deployment pipelines for production environments.
- Evaluate model performance and iterate on designs to enhance accuracy and efficiency.
- Research and stay current with the latest advancements in machine learning and artificial intelligence.
- Document processes and communicate results effectively to stakeholders.
Requirements
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- 2+ years of experience in machine learning, data science, or related roles.
- Strong proficiency in programming languages such as Python or Java, with deep familiarity with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Solid understanding of data pipelines, ETL processes, and big data technologies (e.g., Spark, Hadoop).
- Experience in model evaluation metrics and techniques for model validation.
- Strong problem-solving skills and the ability to work independently.
- Excellent communication skills and a collaborative approach to work.
- Passion for machine learning and eagerness to stay updated with industry trends.
Benefits
- An honest, entrepreneurial, collaborative, high-performance culture.
- Infinite opportunities to learn from industry veterans.
- Access to a growing network of world-class advisors who have worked at Google, Facebook, Twitter, and GitHub.
- A fun and dynamic work environment with a flexible hybrid working arrangement, community building, and international exposure.
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