About Us: At Helios, we embrace the power of innovation and forward-thinking, understanding that ideas can transcend borders and create a ripple effect globally.
We pride ourselves on our ability to turn pragmatic concepts into proven realities, making excellence in execution our standard.
In a world where change is the only constant, we thrive on the edge, transforming ambition into tangible success.
Our company was founded on a vision of illuminating new possibilities for our clients.
From the very beginning, we've been dedicated to guiding businesses to new heights, evolving from a spark of inspiration into a guiding light in the industry.
We see growth as an ongoing journey, continually pushing the limits, embracing new challenges, and learning from every experience. 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.
Job Overview: We are seeking an experienced Senior Machine Learning Enginee r to lead the development, deployment, and optimization of advanced machine learning models.
In this role, you will work closely with data scientists, software engineers, and business stakeholders to create innovative AI solutions that drive business outcomes.
You'll be responsible for building scalable machine learning systems, optimizing model performance, and leading complex machine learning projects from conception to production.
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.
Familiarity with CI/CD pipelines for machine learning models.
Proven ability to translate complex business problems into impactful machine learning solutions.
Excellent communication and presentation skills, with the ability to convey technical details to non-technical stakeholders.
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.
Research and implement state-of-the-art algorithms in areas such as natural language processing (NLP), computer vision, reinforcement learning, or recommendation systems.
Continuously monitor and enhance model performance through hyperparameter tuning, testing, and retraining.
Work closely with cross-functional teams to translate business needs into technical solutions, collaborating with data scientists, product managers, and software engineers.
Document processes, model architectures, and experiment results to ensure reproducibility and knowledge sharing across the organization.
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.
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.
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