1003- Senior Machine Learning Engineer (LTV & Signal Systems)

We Make Remote Work Remarkable • TopTalent from LatAm

Hello! We are GoFasti, a Talent-as-a-Service. GoFasti bridges the gap between world-class developers and designers from LatAm and first-class companies around the globe.

We need an English-fluent Senior Machine Learning Engineer (LTV & Signal Systems), based in Latin America, available to work remotely.

We are looking for someone with exceptional communication and relationship-building skills, who embraces changes while maintaining strong attention to detail. An interested and proactive person, who's constantly learning and improving their skills.

Are you the one we are looking for?

Responsibilities:

• Design, build, and deploy end-to-end LTV prediction systems, covering:
Data ingestion, Feature engineering, Model training and evaluation and Deployment and monitoring

• Develop ML approaches that work within adtech constraints, such as:
Delayed or sparse conversions, Noisy attribution, Changing platform policies

• Own MLOps, including: Reproducible training pipelines, CI/CD for models, Logging, monitoring, and alerting.

• Data quality checks and drift detection.

• Collaborate closely with Product and GTM teams to translate business goals (profitability, payback, repeat rate) into model objectives.

• Help define and evolve the company’s Signal Engineering playbook: What signals are computed, How often they’re updated and How they’re delivered to downstream systems.

Requirements:

• Strong foundations in machine learning, with the ability to reason from: Business objective, data limitations, model choice and deployment

• Hands-on experience building production ML systems (not just notebooks), including: Training pipelines, Deployment and Monitoring.

• Experience with LTV modeling, such as: Probabilistic or BTYD-style approaches, Survival or retention modeling, Regression/classification for value prediction and Model calibration.

• Comfortable working with modern data stacks and cloud environments.

• Core: Python, SQL, Docker (2–4 years experience).

• Data & Warehouse: BigQuery, dbt-style transformations, event and transactional pipelines (Shopify, CRM, GA4, CDPs)

• Cloud: GCP (Cloud Run, Pub/Sub / queues, scheduled jobs), secure APIs and services.

• Machine Learning: scikit-learn, XGBoost / LightGBM / CatBoost, optional PyTorch And MLflow or Weights & Biases for tracking.

• Orchestration: Airflow, Prefect, Dagster (approach matters more than the tool)

It´s a Plus:

• Adtech/Martech experience: Meta CAPI, Google Ads/Enhanced Conversions/Offline Conversions, audience/CRM activation, conversion quality, incrementality intuition.

• Identity/data joining experience (hashed PII, multi-key matching, deduping, event stitching).

• Experience with streaming/near-real-time systems and event pipelines.

• Familiarity with experimentation frameworks (uplift/incrementality), MMM/attribution constraints, or measurement-heavy environments.

Compensation:

• The Salary range offered for this position varies from (USD) $3,800 - $4,500 per month, depending on seniority and skillset.

• This position is for an independent contractor, through a payroll platform.

• The talent will work REMOTELY allocated at our client.

Here are the steps for this process:

Application review/approval > Screening interview with GoFasti's team > We build and send your profile to our client > Profile review/approval by client > Interview with the client > Hiring and onboarding.

Once you apply for the job, our team will review your resume. If it meets the requirements, we will contact you and move forward in the process.

Note for Candidates Approached Directly:
If you were contacted directly by a member of our team and are interested in this opportunity, please do not apply through this link. Instead, reach out to the person who contacted you to coordinate a meeting.

Thank you!