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MLOps Engineer | Data Solutions Job Opening In brazil (remote) – Now Hiring Gympass


Job description

Your wellbeing matters.

Join a company that cares.

GET TO KNOW US

Wellhub (formerly Gympass*) is a corporate wellness platform that connects employees to the best partners for fitness, mindfulness, therapy, nutrition, and sleep, all included in one subscription designed to cost less than each individual partner.

Founded in and headquartered in NYC, we have a growing global team in 11 countries.

At Wellhub, you have the opportunity to build a career in a high-growth tech company that places wellbeing at the foundation of its culture, and contribute to making every company a wellness company.



*Big news: Gympass is now Wellhub! 
We are thrilled to announce our rebranding as Wellhub, marking a significant milestone in our journey.

This transformation reflects our evolution from a “pass for gyms” to a comprehensive employee wellbeing solution.

With our refreshed identity, we are poised to embark on an exciting new chapter of growth and expansion.

We are elevating our offerings, including a completely new app experience and an expanded network of wellbeing partners.

Learn more about it

THE OPPORTUNITY

We are hiring an MLOps Engineer to our Data Solutions team in Brazil

Join our Data Solutions team within Product Development, where we build the foundations for scalable, high-performance data and machine learning solutions.

Our mission is to empower Data Scientists with a world-class platform to develop, deploy, and manage ML models efficiently.

We tackle large-scale production challenges using software engineering principles, leveraging cutting-edge technologies.

Our infrastructure is entirely cloud-based, offering a dynamic and innovative environment for data-driven solutions.

If you're passionate about MLOps, infrastructure, and enabling AI at scale, we want to hear from you.

YOUR IMPACT

  • Empower Data Science teams by providing a scalable, reliable ML platform that streamlines model development, deployment, and management, driving higher business impact;
  • Standardize ML frameworks and best practices to enhance efficiency, collaboration, and reproducibility across teams;
  • Ensure performance, scalability, and reliability by driving engineering excellence and automation in MLOps;
  • Live the mission: inspire and empower others by genuinely caring for your own wellbeing and your colleagues.

    Bring wellbeing to the forefront of work, and create a supportive environment where everyone feels comfortable taking care of themselves, taking time off, and finding work-life balance.
  • WHO YOU ARE

  • Bachelor’s degree in computer science or equivalent professional experience;
  • Design and scale Machine Learning frameworks and MLOps practices across teams (model development, training, feature engineering, etc);
  • Collaborate closely with Data Scientists to understand their needs and build effective and standardized MLOps solutions;
  • Expertise in Machine/Deep Learning frameworks (TensorFlow, PyTorch, Scikit-learn);
  • Experience with containerization (Docker, Kubernetes) and deploying ML models in Kubernetes environments (e.g. Kubeflow);
  • Familiarity with CI/CD, Infrastructure as Code (IaC), and monitoring tools like Prometheus, Grafana, or CloudWatch;
  • Strong communication skills, including verbal and written English and Portuguese.
  • We recognize that individuals approach job applications differently.

    We strongly encourage all aspiring applicants to go for it, even if they don't match the job description %.

    We welcome your application and will be delighted to explore if you could be a great fit for our team.

    For this specific role, please note that prior experience in machine learning ops and deploying modelsare mandatory requirements.

    WHAT WE OFFER YOU 

    We're a wellness company that is committed to the health and wellbeing of our employees.

    Our flexible program allows you to customize your benefits, according to your needs! 

    Our benefits include:

    WELLNESS: Health, dental, and life insurance.

    FLEXIBLE WORK: At Wellhub, flexibility fosters a happier, healthier, and more productive work environment for everyone.

    As a Flexible First company, we offer two work model options: flexible hybrid and full remote, and make the office a place for collaboration, community, and team building.

    The model for this role can be discussed with your recruiter and hiring manager.

    We offer all employees a home office stipend and a monthly flexible work allowance to help cover the costs of working from home.

    FLEXIBLE SCHEDULE: Wellhubbers and their leaders can make the best decisions for their scope.

    This includes flexibility to adjust their working hours based on their personal schedule, time zone, and business needs.

    WELLHUB: We believe in our mission and encourage our employees and their families to take care of their wellbeing too.

    Access onsite gyms and fitness studios, digital fitness programs, and online wellness resources for meditation, nutrition, mental health support, and more.

    You will receive the Gold plan at no cost, and other premium plans will be significantly discounted.

    PAID TIME OFF: We know how important it is that our employees take time away from work to recharge.

    Vacations after 6 months and 3 days off per year + 1 day off for each year of tenure (up to 5 additional days) + extra day off for your birthday.

    PAID PARENTAL LEAVE: Welcoming a new child is one of the most special moments in your life and we want our employees to take the time to be present and enjoy their growing family.

    We offer % paid parental leave to all new parents and extended maternity leave.

    CAREER GROWTH: Outstanding opportunities for personal and career growth.

    That means we maintain a growth mindset in everything we do and invest deeply in employee development.

    CULTURE: An exciting and supportive atmosphere with ambitious people from around the world! You’ll partner with global colleagues and share in the success of a high-growth technology company disrupting the health and wellness space.

    Our value-based culture of trust, flexibility, and integrity makes this possible every day.

    Find more info on our ! 

    Diversity, Equity, and Belonging at Wellhub

    We aim to create a collaborative, supportive, and inclusive space where everyone knows they belong.

    Wellhub is committed to creating a diverse work environment and is proud to be an equal opportunity employer.

    All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, gender identity or expression, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law.

    Questions on how we treat your personal data?

    See our

    #LI-REMOTE

    Required Skill Profession

    Computer Occupations


    • Job Details

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    Unlock Your MLOps Engineer Potential: Insight & Career Growth Guide


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    Are You Looking for MLOps Engineer | Data Solutions Job?

    Great news! is currently hiring and seeking a MLOps Engineer | Data Solutions to join their team. Feel free to download the job details.

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    The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Gympass adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:

    1. Independence

    2. Loyalty

    3. Impartiapty

    4. Integrity

    5. Accountabipty

    6. Respect for human rights

    7. Obeying Brazil laws and regulations

    What Is the Average Salary Range for MLOps Engineer | Data Solutions Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in brazil (remote). Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

    What Are the Key Qualifications for MLOps Engineer | Data Solutions?

    Key qualifications for MLOps Engineer | Data Solutions typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

    How Can I Improve My Chances of Getting Hired for MLOps Engineer | Data Solutions?

    To improve your chances of getting hired for MLOps Engineer | Data Solutions, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

    Interview Tips for MLOps Engineer | Data Solutions Job Success

    Gympass interview tips for MLOps Engineer | Data Solutions

    Here are some tips to help you prepare for and ace your MLOps Engineer | Data Solutions job interview:

    Before the Interview:

    Research: Learn about the Gympass's mission, values, products, and the specific job requirements and get further information about

    Other Openings

    Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

    Dress Professionally: Choose attire appropriate for the company culture.

    Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

    Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

    During the Interview:

    Be Punctual: Arrive on time to demonstrate professionalism and respect.

    Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

    Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

    Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

    Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

    Follow Up: Send a thank-you email to the interviewer within 24 hours.

    Additional Tips:

    Be Yourself: Let your personality shine through while maintaining professionalism.

    Be Honest: Don't exaggerate your skills or experience.

    Be Positive: Focus on your strengths and accomplishments.

    Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

    Turn Off Phone: Avoid distractions during the interview.

    Final Thought:

    To prepare for your MLOps Engineer | Data Solutions interview at Gympass, research the company, understand the job requirements, and practice common interview questions.

    Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Gympass's products or services and be prepared to discuss how you can contribute to their success.

    By following these tips, you can increase your chances of making a positive impression and landing the job!

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