Senior Machine Learning Consultant (Ciudad de México)

Senior Machine Learning Consultant (Ciudad de México)

03 ago
|
FactIQ
|
Ciudad de México

03 ago

FactIQ

Ciudad de México

1 day ago Be among the first 25 applicants

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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)

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 — idóneo for professionals who can guide clients from strategy to deployment.

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

- Seniority level

Mid-Senior level

Employment type

- Employment type

Full-time
- Industries

IT Services and IT Consulting

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📌 Senior Machine Learning Consultant (Ciudad de México)
🏢 FactIQ
📍 Ciudad de México

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