Machine Learning Engineer – Design, Build, and Deploy ML Models

Are you tired of being underutilized and want to make a real impact?

You’re someone who sees the gaps, inefficiencies, and missed opportunities in processes—and you can’t help but think of ways to improve them. Maybe you’re feeling boxed in, maintaining outdated systems or stuck in roles whereyou know you could do more . You want to bebuilding ,optimizing , andsolving real problems that drive results.

If this sounds familiar, we have an opportunity that lets youtake charge , use your skills todesign, build, and deploy machine learning models , and make an impact on businesses that truly need your talent.

Why This Role Is Different
At Engaged Headhunters , we recognize that talented engineers like you are not just looking for a paycheck—you want to work onmeaningful projects where you can see thedirect impact of your efforts. As aMachine Learning Engineer with us, you’ll have the freedom and support todesign solutions ,build systems from the ground up , anddeploy machine learning models that solve real-world problems.

What You'll Love About This Role

1. Freedom to Build and Innovate
   If you're someone who thrives onsolving problems andbuilding better systems , you won’t be stuck fixing the same old things here. You’ll get the autonomy to create and optimizescalable machine learning models that are directly linked to business success. Whether you’re diving intopredictive analytics ornatural language processing , you'll have ownership over your work and the ability to make meaningful decisions.
2. Real-World Impact on Businesses
   Do you feel like your current work is just a series of projects that don’t really go anywhere? At Engaged Headhunters, the models you design will be used to solvereal business challenges —from improving operational efficiency to driving predictive insights. You’ll see thetangible results of your work and know that you’re contributing to solutions that make a difference.
3. Ownership and Collaboration
   You’ll collaborate withcross-functional teams of data scientists, engineers, and product leaders, butyou’ll own the machine learning solutions from start to finish. We trust you to take the lead and drive results, offering you the balance ofteam collaboration andindividual ownership over your projects.
4. Flexibility and Cutting-Edge Tech
   With us, you won’t be stuck in a rigid 9-to-5 role. We offer aflexible, remote work environment where you’re valued for your contributions, not how many hours you clock in. Plus, you’ll be working with thelatest machine learning frameworks andcloud platforms like AWS, Google Cloud, and Azure to bring your ideas to life.

About The Role
As aMachine Learning Engineer , you will:

1. Design and develop machine learning models to solve complex problems in areas such as predictive analytics, NLP, and optimization.
2. Build scalable systems that process large datasets, ensuring models are production-ready and optimized for performance.
3. Collaborate with data scientists and product teams to translate business challenges into machine learning solutions.
4. Deploy models in production environments using cloud-based platforms (AWS, Google Cloud, Azure).
5. Continuously improve models based on performance metrics, feedback, and new data.

What You Bring To The Table

1. Expertise in machine learning frameworks: Experience with tools like TensorFlow, PyTorch, or scikit-learn to design, build, and deploy models.
2. Strong programming skills in Python or R, with a solid understanding of libraries like NumPy and Pandas.
3. Proficiency in data handling: Experience with large datasets, preprocessing, feature engineering, and model evaluation.
4. Experience with cloud environments: Familiarity with platforms like AWS, Google Cloud, or Azure for scaling and deploying models.
5. A problem-solving mindset: You enjoy figuring out what’s broken, designing solutions, and improving systems.
6. Ownership and autonomy: You’re ready to lead projects from idea to deployment, owning the process and results.

What We Offer

1. Competitive salary and growth opportunities.
2. Flexible, remote work environment: Because we value results over rigid hours.
3. Exciting, impactful projects: Work on machine learning models that drive real business outcomes.
4. Supportive, collaborative team: You’ll work with talented people who value your contributions and want to see you succeed.

Ready to Take the Next Step?
If you’re ready to move into a role where yourskills are valued , yourideas are heard , and yourwork makes an impact , we’d love to hear from you. Join us as we build, optimize, and deploy machine learning solutions that shape the future of AI.
Apply today by visitingjobs.engagedheadhunters.com and submitting your resume and a cover letter explaining why you’re excited about this opportunity.

Engaged Headhunters is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.