Remote Senior Machine Learning Engineer

Description:

• NIQ is seeking a highly skilled and experienced Senior ML Engineer to join their dynamic team.
• The role involves developing and implementing advanced AI/GenAI models and algorithms to solve complex business problems.
• The Senior ML Engineer will collaborate closely with cross-functional teams to design, build, and deploy scalable AI/GenAI solutions.
• The position is located in Spain, with remote work allowed 4 days per week.
• Responsibilities include developing AI/GenAI models using Python, utilizing ML fundamentals, working with data scientists and engineers, conducting experiments, optimizing models, collaborating with cloud teams, and utilizing SQL for ETL processes.
• The candidate is expected to stay updated with the latest advancements in AI/GenAI.

Requirements:

• A Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or a related field is required.
• The candidate must have a proven experience of 5 years working as a Senior ML Engineer or in a similar role.
• Strong proficiency in the Python programming language is essential.
• In-depth knowledge of ML fundamentals, including deep learning, optimization techniques, generative AI, NLP, and LLMs is required.
• Experience with cloud computing platforms, with knowledge of Azure being a plus, is necessary.
• Familiarity with SQL for data manipulation and analysis is required.
• Excellent problem-solving skills and attention to detail are essential.
• Strong communication and collaboration skills are necessary, along with the ability to thrive in a fast-paced, dynamic environment.

Benefits:

• The position offers an opportunity to work on cutting-edge projects at the forefront of technology.
• Employees will enjoy a collaborative and innovative work environment.
• A competitive salary and benefits package is provided.
• Continuous learning and professional development opportunities are available.
• Additional benefits include a flexible working environment, volunteer time off, access to LinkedIn Learning, and an Employee-Assistance-Program (EAP).