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Machine Learning Engineer 1

1 years

0 Lacs

bengaluru karnataka india

Posted:2 days ago| Platform: Linkedin logo

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Skills Required

learning ai mobile engagement strategy ml data drive collaborative creativity support development forecasting engineering analyze model training testing mathematics physics analysis python regression spark tensorflow pytorch probability statistics communication personalization pricing algorithms programming rust

Work Mode

On-site

Job Type

Full Time

Job Description

Bangalore, India

Who are we?

Aarki is an AI-driven company specializing in mobile advertising solutions designed to fuel revenue growth. We leverage AI to discover audiences in a privacy-first environment through trillions of contextual bidding signals and proprietary behavioral models. Our audience engagement platform includes creative strategy and execution. We handle 5 million mobile ad requests per second from over 10 billion devices, driving performance for both publishers and brands. We are headquartered in San Francisco, CA, with a global presence across the United States, EMEA, and APAC.

The role?

We are seeking a motivated and detail-oriented Machine Learning Engineer to join our team. As an ML Engineer, you will be involved in designing and implementing machine learning models and data pipelines to enhance our programmatic demand-side platform (DSP). You will work closely with senior data scientists and other team members to drive impactful machine learning projects and contribute to innovative solutions.This is an on-site role, 5 days a week, based in our Bengaluru, India office.Join us in pushing the boundaries of AI and mobile advertising in a collaborative environment that fosters creativity and growth. We offer a competitive salary, comprehensive benefits, and significant opportunities for career advancement.

What will you do?

  • Support the development of machine learning models to address challenges in programmatic advertising, such as predicting user responses, forecasting bid landscapes, and detecting fraud.
  • Collaborate with senior data scientists and cross-functional teams (product, engineering, and business) to integrate models into production workflows.
  • Analyze the impact of integrating new data sources and features into our models.
  • Build and maintain data pipelines to process and prepare large datasets for model training and evaluation.
  • Contribute ideas and assist in testing new tools, methodologies, and technologies to improve our machine learning capabilities.
  • Learn and stay informed about emerging techniques in machine learning and data science, applying them as appropriate to enhance our products.

What are we looking for?

  • Bachelor’s degree in Mathematics, Physics, Computer Science, or a related technical field.
  • At least 1 year of professional experience in machine learning, statistical analysis, and data analysis.
  • Proficiency in Python and SQL.
  • Experience with machine learning techniques such as regression, classification, and clustering.
  • Familiarity with big data tools (e.g., Spark) and ML libraries (e.g., TensorFlow, PyTorch, Scikit-Learn).
  • Strong grasp of probability, statistics, and data analysis principles.
  • Ability to work effectively in a team environment, with good communication skills to explain complex concepts to diverse stakeholders.
  • Familiarity with AdTech, personalization and pricing algorithms, or system programming languages including C++ and Rust is a plus.

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