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Senior Machine Learning Engineer Job Opening In WorkFromHome – Now Hiring Proxify


Job description

Join to apply for the Senior Machine Learning Engineer role at Proxify

Talent has no borders.

Proxify's mission is to connect top developers around the world with the opportunities they deserve.

So, it doesn't matter where you are; we are here to help you fast-track your independent career in the right direction.

Since our launch, Proxify's developers have successfully worked with 1200+ happy clients to build their products and growth features.

5000+ talented developers trust Proxify and its network to fulfill their dreams and objectives.

Proxify is shaped by a global network of supportive, talented developers interested in remote full-time jobs.

Our Glassdoor (4.5/5) and Trustpilot (4.8/5) ratings reflect the trust developers place in us and our commitment to our members' success.

The Role:

We are looking for a Senior ML engineer for one of our clients.

You are a perfect candidate if you are growth-oriented, you love what you do, and you enjoy working on new ideas to develop exciting products and growth features.

What we are looking for:

  • Strong analytical and problem solving skills
  • Experience with programming languages such as Python, R, and Java
  • Experience with machine learning frameworks such as TensorFlow and Keras
  • Knowledge of data mining, statistics and data analysis
  • Familiarity with databases and data warehouses
  • Excellent communication and interpersonal skills

Responsibilities:

  • Design scalable and reliable data pipelines for production and monitor models
  • Develop classification and prediction algorithms to detect new market conditions in real-time
  • Identify, research, and analyze new data sources to improve model accuracy
  • Work cross-functionally with optimization engineers, traders, market analysts, and software engineers to continuously improve performance
  • Develop production code to run locally and in the cloud - debug and tune production systems

What we offer:

Get paid, not played

No more unreliable clients.

Enjoy on-time monthly payments with flexible withdrawal options

Predictable project hours

Enjoy a harmonious work-life balance with consistent 8-hour working days with clients.

Flex days, so you can recharge

Enjoy up to 24 flex days off per year without losing pay, for full-time positions found through Proxify.

Career-accelerating positions at cutting-edge companies

Discover exclusive long-term remote positions at the world's most exciting companies.

Hand-picked opportunities just for you

Skip the typical recruitment roadblocks and biases with personally matched positions.

One seamless process, multiple opportunities

A one-time contracting process for endless opportunities, with no extra assessments.

Compensation

Enjoy the same pay, every month with positions landed through Proxify.

Seniority level

Mid-Senior level

Employment type

Contract

Job function

Information Technology and Engineering

Proxify is an Equal Opportunities Employer and welcomes applications from all sections of the community.

#J-18808-Ljbffr

Required Skill Profession

Redes Y Sistemas


  • Job Details

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Unlock Your Senior Machine Potential: Insight & Career Growth Guide


Real-time Senior Machine 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 Senior Machine in WorkFromHome, Mexico, highlighting market share and opportunities for professionals in Senior Machine roles.

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1583 Jobs in Workfromhome
1583
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Are You Looking for Senior Machine Learning Engineer Job?

Great news! is currently hiring and seeking a Senior Machine Learning Engineer 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 Proxify 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 Senior Machine Learning Engineer 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 Senior Machine Learning Engineer?

Key qualifications for Senior Machine Learning Engineer typically include Redes Y Sistemas 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 Senior Machine Learning Engineer?

To improve your chances of getting hired for Senior Machine Learning Engineer, 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 Senior Machine Learning Engineer Job Success

Proxify interview tips for Senior Machine Learning Engineer

Here are some tips to help you prepare for and ace your Senior Machine Learning Engineer job interview:

Before the Interview:

Research: Learn about the Proxify'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 Senior Machine Learning Engineer interview at Proxify, 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 Proxify'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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