Senior Machine Learning Engineer

Location: San Mateo Nopala, Naucalpan, Estado de México

Work Model: Hybrid (4 days at office)

Benefits:

• Christmas Bonus

• Vacation Bonus

• Flexible Compensation

• Food Vouchers

• Saving Fund

• Work Tools

• Employee Profit Sharing

• Performance Bonus

• Birthday Leave

• Major Medical Insurance

• Life Insurance

• Retirement Plan

• Free Canteen

• Parking Lot

• Reliable Transportation

Requirements:

• Master’s or Ph.D. degree in Computer Science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline preferred.

• 4+ years of experience with software engineering best practices in a team of 6+ engineers

• 2+ years working within public cloud ecosystems (AWS, GCP, or Azure)

• Fluent English

Technical Skills:

• Strong programming skills in Python.

• Demonstrated expertise in designing & architecting cloud-based data pipelines / microservices

• Experience working with databases, including data modeling and querying relational databases (PostgreSQL, MySQL), NoSQL databases, and columnar databases like BigQuery

• Proficiency in building, deploying, and managing applications using Docker containers in development and production environments

• Should have experience in feature engineering, hyper parameter tuning, model evaluation, etc.

• Should have experience in using Pandas/Numpy/ScikitLearn, Pytorch, Tensorflow, Huggingface

• Core concepts of modern NLP or Computer Vision modeling techniques

• Familiarity with best practices in deep learning

• Strong technical writing and oral english skills

Leadership Skills:

• Proven ability to build and lead high-performing engineering teams

• Strong understanding of security best practices and principles

• Experience implementing data governance frameworks and security measures

• Excellent problem-solving and troubleshooting skills

• Outstanding communication, collaboration, and presentation abilities

• Demonstrated success delivering complex projects under aggressive timelines

• Previous experience in manufacturing or automotive preferred

Key Responsabilities:

• Analyze source data and data flows, working with structured and unstructured data (text, audio, images, video, etc.)

• Manipulate high-volume, high-dimensionality data from varying sources to expose and highlight patterns, anomalies, relationships, and trends.

• Apply AI and Machine Learning technology to solve complex, real-world problems.

• Analyze and visualize diverse sources of data, interpret results in a business context and report results clearly and concisely.

• Fulfill problem formulation and ML technique consulting requests in a timely manner.

• Communicate and present analytical models to business customers and executive management.

• Work collaboratively with different business partners and be able to present results in a clear and concise manner.

Contact Details: allison.salazar@crhit.com

This is a high-visibility opportunity where your software engineering expertise will directly impact our Customer’s engineering user experiences.