Machine Learning Engineer

Ready to build smarter systems As a Machine Learning Engineer youll shape the future by designing cuttingedge models and algorithms that solve realworld problems. Drive innovation optimize supply chains and make an impact through AI.

Your Mission: Day to DayResponsibilities

• Develop train and finetune machine learning models to address key business challenges.
• Implement highperformance algorithms that scale.
• Collaborate with data scientists and engineers to seamlessly integrate models into production.
• Continuously monitor and tweak model performance for peak results.
• Stay ahead of the curve by exploring the latest breakthroughs in AI and machine learning.

Your Toolbox: Skills to be Successful

• 35 years of handson machine learning experience.
• Proficiency in Python Java or C for model development.
• Expertise with ML frameworks like TensorFlow PyTorch or scikitlearn.
• Strong grasp of algorithm design and optimization techniques.
• Familiarity with cloud platforms (AWS Azure Google Cloud) to scale your solutions.
• Bachelors degree in Computer Science Engineering Mathematics (Masters or PhD preferred).

Your Perks: Whats in it for you

• Working completely remote
• Location independence
• Great opportunity to grow
• Youll be joining a highlevel and fastpaced team working with exciting businesses and projects

Why Premier Media
At Premier Media we dont just fill positions we create pathways to success. Whether youre a seasoned pro or just starting out were here to help you grow innovate and make an impact. If youre looking for exciting opportunities and a team thats as passionate as you are this is the place to be.

What to Expect from Our Application Process
Once you apply youll receive an email guiding you through the next steps including an assessment tailored to the role.

After that well ask you a few brief questions about your experiences and work stylethis is your opportunity to showcase what makes you unique and how you approach challenges. Be sure to check your inbox (and your spam folder just in case) for further instructions.

We understand your time is valuable so we strive to keep the assessmentsunder 45 minutes whenever possible though some roles may require a slightly longer time investment.

Once selected youll have the chance to schedule an interview with our team. We aim to make the process as smooth and transparent as possible so youll always know where you stand.