Ían Muliterno

@anmuliterno

Message

Senior Machine Learning Engineer specializing in predictive modeling and MLOps

Brazil

Message

What I'm looking for

I'm seeking a senior ML role where I can lead end-to-end model development and productionization, build scalable data pipelines and MLOps, mentor teams, and deliver measurable business impact in collaborative, data-driven companies.

I am a senior machine learning engineer and data scientist with 8+ years designing, developing, and deploying models that drive business outcomes. I specialize in predictive modeling, NLP, and data visualization using Python, R, SQL and cloud platforms.

I build end-to-end solutions—data ingestion with DBT, orchestrated workflows with Airflow, and production-ready models on Databricks and SageMaker. I delivered a Streamlit self-service reporting tool tied to Snowflake that removed a full day of manual work per cycle and built dashboards to improve sales targeting.

At Unilever I developed a KPI and a product-switch algorithm that reduced innovation failure rates and saved the company significant costs; at Capgemini I improved feature information value by 30% and am developing generative-AI synthetic data generators with PyTorch to strengthen model testing. I consistently focus on scalable deployment, monitoring, and continuous improvement.

I enjoy leading small teams, mentoring peers, and translating complex analytics into actionable insights for stakeholders. I seek roles where I can drive measurable impact, implement robust MLOps practices, and collaborate across engineering and research teams.

Experience

Work history, roles, and key accomplishments

Current

Machine Learning Engineer

Current

Independent Contractor

Jan 2025 - Present (7 months)

Built automated data pipelines with DBT and Airflow and replaced a manual monthly Excel report by developing a Streamlit self-service dashboard connected to Snowflake, reducing manual effort by one full day per cycle and enabling business-triggered report generation.

DBT Airflow Streamlit Snowflake Tableau A B Testing Python SQL Machine Learning

Sr. Data Scientist

Capgemini

Jan 2024 - Jan 2025 (1 year)

Assessed external datasets to increase Information Value by 30% and implemented continuous model monitoring and refactoring to reduce data-preparation time by ~1 hour; developed a PyTorch GenAI synthetic data generator to improve regressor testing.

Machine Learning Python R PyTorch MLFlow Sagemaker Snowflake Docker SQL

Sr. Data Scientist

Unilever

Jan 2021 - Jan 2024 (3 years)

Developed a KPI and analytics tooling that reduced innovation failure rate by 50%, implemented an R package for in-house product switch analysis saving at least $200,000/year, and engineered scalable ML models on Databricks for production reliability.

SQL Power BI R Pyspark Python Databricks Experimentation

Data Scientist

Omni Financial Institution

Jan 2020 - Jan 2021 (1 year)

Improved credit-lending model accuracy by 5% through feature engineering and developed the company's first collection scoring system to prioritize recoverable accounts, enabling targeted debt recovery within a week.

Oracle Python R Credit Scoring SQL Statistical Modeling