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Senior AI Engineering Machine Learning Engineer Job Opening In WorkFromHome – Now Hiring EPAM Systems


Job description

2 days ago Be among the first 25 applicants

We are looking for a Senior AI Engineering Machine Learning Engineer to lead backend development for advanced GenAI projects.

You will be responsible for designing, deploying, and maintaining scalable AI-driven applications using OpenAI APIs and cloud-native tools, with a focus on automation and monitoring.

Join us to play a key role in innovative AI solutions and grow your expertise in AI engineering.

Responsibilities

  • Design and enhance backend services supporting AI and large language model applications
  • Integrate and scale LLM-based solutions within cloud infrastructures
  • Build and maintain CI/CD pipelines for seamless deployment automation
  • Monitor AI service performance and implement improvements
  • Ensure comprehensive observability and logging for LLM API usage
  • Collaborate closely with DevOps and AI/Data Science teams to improve processes
  • Utilize cloud platforms, especially Azure, to deploy and scale AI applications
  • Create APIs and microservices enabling AI-powered capabilities

Requirements

  • At least 3 years of professional experience in machine learning engineering with a backend software emphasis
  • Proven expertise with OpenAI APIs and integrating AI services
  • Strong knowledge of MLOps and CI/CD tools such as Orion, ArgoCD, and Opsera
  • Experience with monitoring and observability platforms like Grafana, Dynatrace, and ThoughtSpot
  • Solid background with cloud and infrastructure technologies including Azure, Apache Spark, and Databricks
  • Advanced Python programming abilities and understanding of microservices architecture
  • Fluent English communication skills at B2 level or above

We offer

  • International projects with top brands
  • Work with global teams of highly skilled, diverse peers
  • Employee financial programs
  • Paid time off and sick leave
  • Upskilling, reskilling and certification courses
  • Unlimited access to the LinkedIn Learning library and 22,000+ courses
  • Global career opportunities
  • Volunteer and community involvement opportunities
  • EPAM Employee Groups
  • Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Seniority level

  • Mid-Senior level

Employment type

  • Full-time

Job function

  • Engineering, Information Technology, and Research

Industries

  • Software Development
  • IT Services and IT Consulting
  • Retail

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Required Skill Profession

Redes Y Sistemas


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Unlock Your Senior AI Potential: Insight & Career Growth Guide


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

12731 Jobs in Chile
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Are You Looking for Senior AI Engineering Machine Learning Engineer Job?

Great news! is currently hiring and seeking a Senior AI Engineering Machine Learning Engineer 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 EPAM Systems 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 Chile laws and regulations

What Is the Average Salary Range for Senior AI Engineering 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 AI Engineering Machine Learning Engineer?

Key qualifications for Senior AI Engineering 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 AI Engineering Machine Learning Engineer?

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

EPAM Systems interview tips for Senior AI Engineering Machine Learning Engineer

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

Before the Interview:

Research: Learn about the EPAM Systems'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 AI Engineering Machine Learning Engineer interview at EPAM Systems, 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 EPAM Systems'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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