Senior Machine Learning Consultant

FactIQ

Ciudad de México

On-site

MXN 1,004,400 - 1,339,200

Full time

14 days+

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Job summary

A technology consulting firm is seeking a Senior Machine Learning Consultant in Mexico City to lead the design and implementation of advanced machine learning solutions. Key responsibilities include working throughout the ML lifecycle and advising clients on best practices. Candidates should have 6+ years of experience and strong skills in ML algorithms and model optimization. This role supports hybrid work opportunities.

Qualifications

6+ years of experience in machine learning or applied data science roles.
Strong expertise in ML algorithms and model optimization.
Proven experience with deep learning frameworks.

Responsibilities

Lead the design and development of advanced machine learning models.
Own the full ML lifecycle: data exploration, feature engineering.
Advise clients on best practices for model governance and compliance.

Skills

Machine learning algorithms

Deep learning frameworks (TensorFlow, PyTorch)

Python

MLOps and ML pipelines

Client-facing consulting skills

Tools

AWS

GCP

Azure

Scikit-learn

Docker

Kubernetes

Job description

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Mode: Hybrid (occasional on-site work)

FactIQ is seeking a Senior Machine Learning Consultant to lead the design and implementation of advanced data-driven solutions in business-critical environments. This role blends technical excellence with a consulting mindset — ideal for professionals who can guide clients from strategy to deployment.

Lead the design and development of advanced machine learning models using supervised and unsupervised techniques.
Own the full ML lifecycle: data exploration, feature engineering, model training, evaluation, deployment, and monitoring.
Translate complex business challenges into scalable ML strategies and technical architectures.
Advise both internal teams and clients on best practices for model governance, explainability, fairness, and compliance.
Provide technical leadership and hands-on support to data engineering and product teams throughout development and rollout phases.

Senior Machine Learning Consultant

Location: Mexico City

Mode: Hybrid (occasional on-site work)

Duration: 12 months

Level: Senior Consultant

️ Language: English (professional fluency required)

Contract Type: Full-Time Equivalent (FTE)

Key Responsibilities

Lead the design and development of advanced machine learning models using supervised and unsupervised techniques.
Own the full ML lifecycle: data exploration, feature engineering, model training, evaluation, deployment, and monitoring.
Translate complex business challenges into scalable ML strategies and technical architectures.
Advise both internal teams and clients on best practices for model governance, explainability, fairness, and compliance.
Provide technical leadership and hands-on support to data engineering and product teams throughout development and rollout phases.

Required Qualifications

6+ years of experience in machine learning or applied data science roles.
Strong expertise in ML algorithms and model optimization (regression, classification, clustering, time series, etc.).
Proven hands-on experience with deep learning frameworks such as TensorFlow or PyTorch, and architectures like CNNs, RNNs, or Transformers.
Proficiency in managing end-to-end ML pipelines, including retraining strategies and MLOps.
Advanced knowledge of Python, Scikit-learn, cloud-based ML platforms (AWS, GCP, or Azure), and data visualization tools.
Strong analytical, communication, and client-facing consulting skills.

Preferred Skills

Experience in Natural Language Processing (NLP) and/or Computer Vision.
Familiarity with CI/CD pipelines and containerization tools (e.g., Docker, Kubernetes) in ML workflows.
Prior experience working in consulting environments or on cross-functional teams.

Seniority level