Helios WorldWide is an Equal Opportunity Employer committed to providing a workplace free from discrimination or harassment.
We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation.
Decisions related to hiring, compensating, training, evaluating performance, or terminating are made fairly without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law.
Forge is a subdivision of Helios WorldWide, a dynamic, tech-powered creative agency that blends art and technology to create innovative solutions for a pragmatic tomorrow.
We specialize in harnessing the power of AI, immersive experiences, and cutting-edge development to drive our clients' success across various industries.
Our global collective of creative developers, immersive scientists, and digital alchemists is dedicated to pushing the boundaries of what's possible.
Join us as we redefine what's possible and shape the future together.
Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Statistics, or related field 5+ years of experience in machine learning, AI, or data science roles, with at least 2 years in a senior capacity.
Proven experience deploying machine learning models in production environments.
Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
Strong programming skills in Python, Scala, or Java.
Hands-on experience with cloud platforms (AWS, GCP, Azure) and ML tools (SageMaker, Databricks, etc.).
Solid knowledge of algorithms, statistical models, and machine learning techniques (e.g., regression, clustering, decision trees, neural networks).
Experience with big data technologies (e.g., Hadoop, Spark, Kafka) is a plus.
Responsibilities: Lead the design, development, and deployment of robust machine learning models using Python, TensorFlow, PyTorch, or similar frameworks.
Implement machine learning models into production environments, ensuring scalability, performance, and efficiency.
Collaborate with data engineers to build, maintain, and optimize data pipelines for model training and inference.
Develop, test, and deploy custom feature engineering pipelines to optimize machine learning performance.
Recruitment Process: You will be contacted by our team within 72 hours of your application.
Our recruitment process takes a maximum of 21 days from the first interview and you will be notified in case of success or failure.
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