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ML Ops Engineer (m/f/d) Job Opening In Warszawa – Now Hiring Nestle

ML Ops Engineer (m/f/d)

    Poland Jobs Expertini Expertini › Poland › Jobs › Warszawa › Other General › Ml Ops Engineer (M/f/d)

Job description

As a key member of the Data Science Hub Europe you will be part of a team dedicated to delivering efficient and high-quality data solutions.

You will collaborate with data scientists, data analysts and engineers to build, scale and operate our machine learning & analytics platform.

Your skill, competence and creativity will directly support and impact critical business decisions in areas of supply chain and marketing.

**In this role you will:**

+ Optimize, standardize and implement data science and machine learning solutions at scale and in cloud-based environments (Azure)
+ Participate in the end-to-end lifecycle of data science projects through the use of DevOps, code, experiment and model management, CI/CD and further industry best practices
+ Write well-designed, testable, efficient code
+ Work closely with engineering to continuously improve the way we consume data and deploy models in production
+ Design and lead on monitoring, troubleshooting, debugging and incident management for our ML pipelines
+ Be a trusted advisor and evangelist to the team and stakeholders on various aspects of ML Ops, from scaling and throughput, to infrastructure and deployment strategies

**You are the right candidate if you bring along:**

+ 2+ years of professional experience in ML Ops or ML engineering, particularly in productionizing and scaling ML models
+ Broad familiarity with Azure cloud environment and Databricks, including its setup and maintenance as an ML platform
+ Advanced proficiency with Python and SQL in version control systems (git) plus their use in building ML & data pipelines
+ Proven experience with software development best practices including testing, continuous integration, and DevOps tools
+ Good understanding of data science lifecycle and the way data scientists work to deliver value
+ Familiarity with agile software development lifecycle (SCRUM, Kanban, etc.)
+ Attention to clarity of code, ease of development, and correctness of implementations
+ Business-ready command of English, written and spoken

**You will draw even more of our attention if you have:**

+ Experience in productionizing ML tools involving a user interface, e.g. Dash, Shiny R, Streamlit
+ Experience in Azure cloud resource setup for purposes of data solutions
+ Great communication skills to guide audiences of a broad technical knowledge range through complex ML Ops topics
+ Practice in coaching / mentoring younger team members in your expertise areas

**In return we offer:**

+ Exciting work in a multi-cultural team of bright minds – data lovers and practitioners
+ Employment contract
+ Flexible remote work options, or – if your prefer – access to a modern office in Warsaw’s Mokotów, walking distance from Metro Wilanowska
+ Internal training programs and access to external knowledge resources aimed at expanding your skills and competence
+ Support in building your ML / data ops skills and portfolio through participation and presenting at conferences and events
+ Opportunities to develop further in our Data Science Hub as well as in the international organization
+ Opportunity to participate in Sustainability projects and join a community focused on creating sustainable solutions
+ A work atmosphere based on respect, professionalism and kindness

We are Nestlé, the largest food and beverage company.

We are 308,000 employees strong driven by the purpose of enhancing the quality of life and contributing to a healthier future.

Our values are rooted in respect: respect for ourselves, respect for others, respect for diversity and respect for our future.

With more than CHF 91.4 billion sales in 2018, we have an expansive presence with 413 factories in more than 85 countries.

We believe our people are our most important asset, so we'll offer you a dynamic inclusive international working environment with many opportunities across different businesses, functions and geographies, working with diverse teams and cultures.

Want to learn more?

Visit us at www.nestle.com.

Nestlé is committed to the accessibility of its recruitment process.

If you require an adaptation during the recruitment process, please talk to your recruiter so we can support you effectively.

All information will be treated confidentially.


Required Skill Profession

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Unlock Your ML Ops Potential: Insight & Career Growth Guide


Real-time ML Ops 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 ML Ops in Warszawa, Poland, highlighting market share and opportunities for professionals in ML Ops roles.

150 Jobs in Poland
150
4 Jobs in Warszawa
4
Download Ml Ops Jobs Trends in Warszawa and Poland

Are You Looking for ML Ops Engineer (m/f/d) Job?

Great news! is currently hiring and seeking a ML Ops Engineer (m/f/d) 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 Nestle 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 Poland laws and regulations

What Is the Average Salary Range for ML Ops Engineer (m/f/d) Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Warszawa. 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 ML Ops Engineer (m/f/d)?

Key qualifications for ML Ops Engineer (m/f/d) typically include Other General 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.

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Interview Tips for ML Ops Engineer (m/f/d) Job Success

Nestle interview tips for ML Ops Engineer (m/f/d)

Here are some tips to help you prepare for and ace your ML Ops Engineer (m/f/d) job interview:

Before the Interview:

Research: Learn about the Nestle'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 ML Ops Engineer (m/f/d) interview at Nestle, 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 Nestle'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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