ML Engineer

February 15

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Logo of AssessFirst πŸ¦„

AssessFirst πŸ¦„

AssessFirst is a company focused on revolutionizing the talent management processes within organizations. Founded in 2002, the company specializes in providing predictive hiring solutions using artificial intelligence to assess candidates' cognitive abilities, motivations, and personality traits. AssessFirst aims to help companies recruit more effectively by offering insights that are proven to link to performance and engagement. The company also aids in managing and developing talent by leveraging unbiased predictive algorithms. Employing a fully remote workforce, AssessFirst encourages radical freedom and extreme responsibility among its team members. Over the years, the company has supported global organizations in overcoming HR-related challenges and continues to expand its presence in various markets, including the UK.

Big Data β€’ HR analytics β€’ Predictive recruitment β€’ Personality assesment β€’ Motivation assessment

πŸ“‹ Description

β€’ Put machine learning at the core of AssessFirst, crafting cutting-edge algorithms that predict and optimize job success, team performance, and beyond. β€’ Collaborate with behavioral scientists to identify meaningful data and translate it into actionable insights. β€’ Design and implement efficient ML pipelines to handle complex data and drive better predictions. β€’ Experiment with state-of-the-art techniques to develop models that go beyond the status quo. β€’ Evaluate the performance of your models, ensuring continuous improvement and adaptability. β€’ Work with the Science and Product teams to bring ML-driven features to life.

🎯 Requirements

β€’ Fluent in both English & French. β€’ Strong foundations in ML modeling and a passion for solving complex problems. β€’ Proficiency in Python and ML libraries like NumPy, Pandas, TensorFlow, PyTorch, and Scikit-Learn. β€’ Familiarity with Bayesian statistics and a strong grasp of mathematical principles. β€’ A desire to learn, experiment, and stay on top of advancements in machine learning research. β€’ The ability to work closely with teams from different disciplines, translating ideas into impactful ML solutions.

πŸ–οΈ Benefits

β€’ A Swile card with €10 per working day. β€’ Access to coworking spaces up to 5 times/month. β€’ Strong culture and events to get together: 4 seminars/year. β€’ Partnership with "Choisir ma crΓ¨che": nurseries all over France.

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February 1

As a Machine Learning Manager at Pennylane, drive ML projects and optimize user experiences. Contribute to a growing Fintech, impacting SMEs across Europe.

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