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Machine Learning Ops Engineer - Work from home Job Opening In WorkFromHome – Now Hiring Nearsure


Job description

Machine Learning Ops Engineer - Work from home

Machine Learning Ops Engineer - Work from home

1 day ago Be among the first 25 applicants

Join our close-knit LATAM remote team: Connect through fun activities like coffee breaks, tech talks, and games with your team-mates and management.

Say goodbye to micromanagement! We champion autonomy, open communication, and respect for diversity as our core values.

️Your well-being matters: Our People Care team is here from day one to support you with everything from time-off requests to wellness check-ins.

Plus, our Accounts Management team ensures smooth, effective client relationships, so you can focus on what you do best.

Ready to grow with us?

Here’s what we offer you by joining us!

Competitive USD salary – We value your skills and contributions!

100% remote work – While you can work from anywhere, you’re always welcome to connect with teammates and grow your network at our coworking spaces across LATAM!

Paid time off – Take the time you need according to your country’s regulations, all while receiving your full salary.

Rest, recharge, and come back stronger!

National Holidays celebrated – Take time off to celebrate important events and traditions with loved ones, fully embracing your culture.

Sick leave – Focus on your health without the stress.

Take the necessary time to recover and feel better.

Refundable Annual Credit – Spend it on the perks you love to enhance your work-life balance!

Team-building activities – Join us for coffee breaks, tech talks, and after-work gatherings to bond with your Nearsure family and feel part of our vibrant community.

Birthday day off – Enjoy an extra day off during your birthday week to celebrate in style with friends and family!

About the project:

As a Senior Machine Learning Ops Engineer , you will design and build large-scale architectures, workflows, tools, and automation for processing data and apply machine learning engineering to solve global business challenges with a focus on making tasks easier for data scientists.

How your day-to-day work will look like

Architect and develop end-to-end machine learning solutions.

Manage and automate the machine learning lifecycle.

Collaborate with data engineers and data scientists to create highly scalable solutions.

Work on cloud solutions, evaluating the performance and cost of potential architectures.

Understand the software development life cycle to collaborate and integrate solutions with other technical areas.

Interact with other teams to understand business challenges and propose solutions.

Communicate and teach on how to use the developments.

This would make you the ideal candidate

Bachelor's Degree in Computer Science, Engineering, or a related field.

5+ Years of experience implementing and deploying machine learning solutions.

5+ Years of advanced Python programming experience.

3+ Years of experience working with SQL and Spark.

3+ Years of experience working in cloud environments (AWS or GCP).

Knowledge and hands-on experience with containerization tools (e.g., Docker) and orchestration tools (e.g., Kubernetes).

Experience with version control systems, preferably Git.

Experience with workflow orchestration tools like Airflow.

Knowledge of data architectures and systems integration.

Ability to troubleshoot and solve complex software system issues.

Experience automating machine learning lifecycles and managing end-to-end ML solutions.

Experience with scripting in Bash or similar shell environments.

Familiarity with FastAPI or similar web frameworks for serving ML models.

Experience with AWS SageMaker Studio and infrastructure-as-code tools such as CloudFormation.

Understanding of software development life cycle (SDLC) and ability to integrate ML solutions with other technical teams.

Strong communication skills with the ability to teach and explain technical solutions to different stakeholders.

Advanced English Level is required for this role as you will work with US clients.

Effective communication in English is essential to deliver the best solutions to our clients and expand your horizons.

What to expect from our hiring process

1.

Let’s chat about your experience!

2.

Impress our recruiters, and you’ll move on to a technical interview with our top developers.

3.

Nail that, and you’ll meet our client - your final step to joining our amazing team!

At Nearsure, we’re dedicated to solving complex business challenges through cutting-edge technology and we believe in the power of tailored solutions.

Whether you are passionate about transforming businesses with Generative AI, building innovative software products, or implementing comprehensive enterprise platform solutions, we invite you to be part of our dynamic team!

We would love to hear from you if you are eager to make an impact and join a collaborative team that values creativity and expertise.

Let’s work together to shape the future of technology!

By applying to this position, you authorize Nearsure to collect, store, transfer, and process your personal data in accordance with our Privacy Policy.

For more information, please review our Privacy Policy.

(

Seniority level

  • Seniority level

    Mid-Senior level

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Information Technology
  • Industries

    Software Development

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Required Skill Profession

Tecnología Eléctrica Y Energética


  • Job Details

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Unlock Your Machine Learning Potential: Insight & Career Growth Guide


Real-time Machine Learning Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Machine Learning in WorkFromHome, Mexico, highlighting market share and opportunities for professionals in Machine Learning roles.

420 Jobs in Mexico
420
124 Jobs in Workfromhome
124
Download Machine Learning Jobs Trends in Workfromhome and Mexico

Are You Looking for Machine Learning Ops Engineer Work from home Job?

Great news! is currently hiring and seeking a Machine Learning Ops Engineer Work from home to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

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 Nearsure 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 Mexico laws and regulations

What Is the Average Salary Range for Machine Learning Ops Engineer Work from home Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in WorkFromHome. 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 Machine Learning Ops Engineer Work from home?

Key qualifications for Machine Learning Ops Engineer Work from home typically include Tecnología Eléctrica Y Energética 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 Machine Learning Ops Engineer Work from home?

To improve your chances of getting hired for Machine Learning Ops Engineer Work from home, 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 Machine Learning Ops Engineer Work from home Job Success

Nearsure interview tips for Machine Learning Ops Engineer   Work from home

Here are some tips to help you prepare for and ace your Machine Learning Ops Engineer Work from home job interview:

Before the Interview:

Research: Learn about the Nearsure'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 Machine Learning Ops Engineer Work from home interview at Nearsure, 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 Nearsure'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!

How to Set Up Job Alerts for Machine Learning Ops Engineer Work from home Positions

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