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Data Scientist, Python/AI/ML - Monterrey

Globant

Data Scientist, Python/AI/ML - Monterrey

Globant

Nuevo Leon, Mexico, Mexico

·

On-site

·

Full-time

·

2w ago

Required Skills

Python

AWS

Azure

Machine Learning

Data Scientist, Python/AI/ML systems, Senior-Level

At Globant, we are working to make the world a better place, one step at a time. We enhance business development and enterprise solutions to prepare them for a digital future. With a diverse and talented team present in more than 30 countries, we are strategic partners to leading global companies in their business process transformation.

We seek a Data Scientist, Python/AI/ML systems, Senior-Level who shares our passion for innovation and change. This role is critical to helping our business partners evolve and adapt to consumers' personalized expectations in this new technological era.

What will help you succeed:

  • English Advanced
  • 6+ years of software engineering experience with 2+ years in a technical leadership role
  • Strong proficiency in Python with experience in production AI/ML systems
  • Hands-on experience with at least 2-3 of these frameworks/tools:
  • LLM orchestration: Lang Chain, Llama Index, Semantic Kernel, Haystack
  • Vector databases: Pg Vector, Pinecone, Weaviate, Qdrant, Chroma, Azure Cognitive Search
  • LLM observability: Lang Smith, Weights & Biases, Arize, Phoenix
  • Prompt management: Prompt Layer, Helicone, Human Loop
  • Experience with Azure cloud services (Azure OpenAI Service, Azure ML, AKS, Azure Functions)
  • Working knowledge of AWS services (Bedrock, Sage Maker, Lambda, ECS/EKS)
  • Deep understanding of RAG patterns, context management, and prompt engineering techniques

This job can be filled in Monterrey

#.

Globant will cover relocation expenses to Monterrey for candidates hired for this position. This benefit applies only upon official hiring, for candidates with a Seniority level of Semi Senior Advanced (Ssr Adv) or above, and in accordance with the company’s internal policies.

Create with us digital products that people love. We will bring businesses and consumers together through AI technology and creativity, driving digital transformation to impact the world positively.

We may use AI and machine learning technologies in our recruitment process. Globant is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law. Globant is also committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Final compensation offered is based on multiple factors such as the specific role, hiring location, as well as individual skills, experience, and qualifications. In addition to competitive salaries, we offer a comprehensive benefits package. Learn more about life at Globant here: Globant Experience Guide.

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About Globant

Globant

A digitally native company that helps organizations reinvent and realize their full potential.

10,001+

Employees

San Francisco

Headquarters

Reviews

4.1

48 reviews

Work Life Balance

3.6

Compensation

4.3

Culture

4.1

Career

4.6

Management

3.9

78%

Recommend to a Friend

Pros

Cutting-edge technology stack and interesting technical challenges

Competitive compensation packages with equity

Opportunities for continuous learning and growth

Cons

Organizational changes and restructuring can be disruptive

Work-life balance can be challenging during product launches

Fast-paced environment with tight deadlines

Salary Ranges

46 data points

Junior/L3

Senior/L5

Junior/L3 · Data Scientist

0 reports

$51,292

total / year

Base

-

Stock

-

Bonus

-

$43,598

$58,986

Interview Experience

1 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Interview

4

Behavioral Interview

5

Final Decision

Common Questions

Technical Knowledge

Coding/Algorithm

Behavioral/STAR

Past Experience