Machine Learning Engineer

Are you looking to be a part of a growing global organization? We are currently looking for a Machine Learning Engineer to join our team!

Who we are:

SiiRA is a global platform that connects top-notch digital professionals with US-based companies in digital growth mode.

At SiiRA, we believe in an agile and sustainable workspace that promotes access to worldwide talent and drives enterprise growth. This is why SiiRA builds and fosters remote and competent teams that make the most of your expertise and skills.

Whom we are looking for:

We are looking for an exceptional collaborative Machine Learning Engineer with at least 5 years of experience to join our dynamic team.

Key Responsibilities:

• Develop and deploy machine learning models for: Media Mix Modeling (MMM), Predictive Inventory Analytics, Audience and Segment Modeling
• Design scalable solutions that integrate with media planning and buying platforms.
• Analyze large-scale datasets from disparate media channels (linear, digital, CTV) to derive actionable insights.
• Collaborate with data scientists, product managers, and media strategists to align model outputs with business needs.
• Continuously test, validate, and improve models to enhance performance and relevance.
• Communicate technical concepts clearly to non-technical stakeholders

Qualifications:

• 5+ years of experience in machine learning, data science, or predictive analytics.
• Strong experience building models in the media/advertising domain.
• Deep understanding of media data across linear TV, digital advertising, and CTV.
• Proficient in Python and ML frameworks such as Scikit-learn, TensorFlow, or PyTorch.
• Strong experience with statistical modeling, time series forecasting, and optimization techniques.
• Solid grasp of data pipelines and engineering best practices (ETL, batch and streaming data).
• Experience with cloud platforms (AWS, GCP, or Azure).
• Familiarity with marketing analytics platforms such as Nielsen, VideoAmp, Kantar, or Comscore.
• Experience working with ad tech data sources such as DSPs, SSPs, CDPs, or DMPs.
• Knowledge of Bayesian modeling, causal inference, or incrementality testing a plus.

At SiiRA, we cherish diversity, equity, and inclusiveness. Our priority is that you feel respected and appreciated.

As leaders and partners across industries, we strive to cultivate an environment reflective of our greatest asset; our people.

Please visit our website and follow SiiRA on LinkedIn to stay updated with all our job postings.