Machine Learning Engineer @

What You Need to Be Successful

• Degree in Computer Science or related field (Data Science, Big Data, Mathematics, Physics, etc.).
• At least 2 years of proven industry experience in machine learning projects.
• Strong programming skills in Python and data-science libraries (pandas, scikit-learn).
• Working knowledge of SQL and relational databases, ideally Snowflake.
• Expert knowledge of data analysis, statistics, data mining, machine learning or Big Data processing area.
• Experience with mainstream ML libraries (TensorFlow/PyTorch, Scikit-Learn, PySpark etc.).
• Familiarity with data structures, CI/CD pipelines, software engineering principles and robust code testing.
• Collaborating in a team using code versioning tools like Git.
• Ability to summarize and present the finding results to business/product stakeholders.
• Openness to learn new technologies and adapt to technological stack.

Bonus Points if You Have

• 5+ years of industry (or equivalent) experience in designing and implementing machine learning systems.
• Experience in the advertising industry, recommendation systems or real-time bidding (RTB) ecosystem.
• Experience in leading a group of developers.
• Familiarity with AWS tools (e.g. Airflow, SageMaker), Snowflake, Redis, Aerospike, ETL or big data tools (PySpark/Snowpark, Docker, Kubernetes, etc.)
• Experience with deploying ML models in production.
• Experience with Infrastructure as Code (Terraform), orchestration tools (Airflow), building CI/CD pipelines using Github Actions, and real-time monitoring/alerting frameworks such as Prometheus and Grafana.

A Career at HARMAN TECH Services (HTS)

We're a global, multi-disciplinary team that's putting the innovative power of technology to work and transforming tomorrow. At HTS, you solve challenges by creating innovative solutions.

•        Combine the physical and digital, making technology a more dynamic force to solve challenges and serve humanity's needs 
  •        Work at the convergence of cross channel UX, cloud, insightful data, IoT and mobility 
    •        Empower companies to create new digital business models, enter new markets, and improve customer experiences 

 

About the Role

As a machine learning engineer of our team you will contribute to development and buildout of components of our customer's advertising platform which brings sponsored content to millions of media-enabled devices worldwide and will have access to unique proprietary data to address existing product challenges and build end-to-end solutions with real-world impact. You will also work with talented engineers and top-notch machine learning researchers on exciting projects and state-of-the-art technologies.

In conclusion, you will play a crucial role in designing, building, and optimizing ML models and platform that supports the end-to-end ML lifecycle, from data ingestion and preparation to model training, deployment, and monitoring. By contributing to the development of high-quality ML models and platform, you will help to democratize access to ML capabilities, accelerate the pace of ML adoption, and foster collaboration among stakeholders.

About HARMAN: Where Innovation Unleashes Next-Level Technology

Ever since the 1920s, we've been amplifying the sense of sound. Today, that legacy endures, with integrated technology platforms that make the world smarter, safer, and more connected.

Across automotive, lifestyle, and tech services, we create innovative technologies that turn ordinary moments into extraordinary experiences. Our renowned automotive and lifestyle solutions can be found everywhere, from the music we play in our cars and homes to venues that feature today's most sought-after performers, while our tech services serve humanity by addressing the world's ever-evolving needs and demands. Marketing our award-winning portfolio under 16 iconic brands, such as JBL, Mark Levinson, and Revel, we set ourselves apart by exceeding the highest engineering and design standards for our customers, our partners and each other.

If you're ready to innovate and do work that makes a lasting impact, join our talent community today

,[       Develop, test, deploy, and maintain data, scalable low-latency machine learning products and pipelines supporting ML products considering factors such as the nature of the data, the complexity of the problem, and the available computational resources. ,        Validate the model's performance on unseen data, ensuring that it generalizes well and does not overfit the training data. Conduct rigorous testing to identify and address potential issues, such as bias or fairness concerns. ,        Design and develop the next generation machine learning platform to support thousands of model training pipelines concurrently and thousands of billions of daily batch predictions. ,        Research the latest machine learning platform technologies pushing the boundaries of what is currently possible with ML and keep up-to-date with industry trends and developments. ,        Experiment with new ML platforms tailored to our environment and create quick prototypes / proof-of-concepts. ,        Streamline model deployment, unit testing, integration testing, and stress testing and ensure engineering quality. ,        Support automation of the ML pipeline using CI/CD principles, promoting consistency, reproducibility, and agility. ,        Work with Data Scientists to introduce new ML platform features, help streamline the model development process, and reduce the lead time for model production. ,        Closely work with different internal ML teams (e.g., Data Scientists and MLOps teams) to improve codebase and product health. ,        Depending of your skills and experience you will have a chance to technically lead people.] Requirements: Machine learning, Testing, MLOps, Python, SQL, Snowflake, Data analysis, Machine Learning, Big data, TensorFlow, PyTorch, PySpark, Data structures, CI/CD Pipelines, Git, AWS, Airflow, Redis, ETL, Big Data, Docker, Kubernetes, GitHub Additionally: Remote work, Flexible working hours, Competitive compensation, Discounts, Sport subscription, Training budget, Private healthcare, Flat structure, International projects, Employee referral bonus, Employee discounts on HARMAN products (JBL), Free coffee, Bike parking, Playroom, Free snacks, Free beverages, Modern office, In-house trainings, Startup atmosphere, No dress code.

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