Overview
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Remote Job
About Us
Step into the world of ZAZZ, a realm where innovative design meets software development brilliance. We're not your average tech company; we're trendsetters shaping the future, crafting digital masterpieces, and redefining boundaries.
At ZAZZ, technology isn't just a tool—it's our canvas, our playground. Our passionate, ingenious team doesn't just adapt to the latest technologies; we shape them. Join us, and you’ll be at the heart of a revolution, influencing, and driving technological advancements.
Empowering People. Transforming Experiences.
Ever dreamed of putting your mark on the digital universe? ZAZZ is the place. We breathe life into a bottom-up approach where our employees and users are the stars. Here, you won't just be creating software—you'll be part of a grand journey to revolutionize digital experiences.
Dive into the Tech Spectrum
With ZAZZ, you don't just get a job; you get an open ticket to a roller-coaster of challenges and opportunities. From Product Strategy, IoT App Development to the bleeding-edge Blockchain tech, we cover the entire spectrum of tech innovation. Prepare to ignite your creativity and fuel your passion in an environment buzzing with groundbreaking ideas and projects.
Shaping the Future, Together
It doesn't matter if our client is a fledgling startup, a dynamic SME, or a Fortune 500 titan—we’ve partnered with them all. At ZAZZ, you'll gain unparalleled exposure and experience in diverse sectors and technologies. You’ll not just grow; you'll evolve.
Why Join ZAZZ?
If you're seeking a place where your curiosity is celebrated, your skills valued, and your growth accelerated, look no further. ZAZZ offers a thriving work environment, opportunities for continuous learning, and the chance to work with some of the best minds in the industry. Plus, our team loves to get geeky over a coffee chat on the latest tech!
So, are you ready to leave a lasting footprint in the tech world? Join the ZAZZ family, and together, let's create the future.
Job Description
This is a remote position.
Job Summary:
We are seeking an experienced Machine Learning Engineer to join our dynamic team. The ideal candidate will have 5-8 years of hands-on experience in designing, developing, and deploying machine learning models and AI-driven solutions. You will work closely with data scientists, software engineers, and product teams to build scalable ML solutions that drive business impact.
Key Responsibilities:
Develop and deploy machine learning models for various applications, including recommendation systems, NLP, and predictive analytics.
Design and implement scalable data pipelines and model training workflows.
Work with large-scale structured and unstructured data, ensuring high-quality data processing and feature engineering.
Optimize and fine-tune ML models for performance, accuracy, and scalability.
Collaborate with cross-functional teams, including data scientists, product managers, and software engineers, to integrate ML models into production systems.
Stay updated with the latest advancements in machine learning, deep learning, and artificial intelligence.
Conduct A/B testing and evaluate model performance using appropriate metrics.
Ensure responsible AI practices, including model explainability, fairness, and security.
Requirements
Required Qualifications:
5-8 years of experience in machine learning, deep learning, or AI engineering.
Strong programming skills in Python, Scala, or Java.
Proficiency in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).
Experience with cloud platforms (AWS, GCP, or Azure) for deploying ML models.
Expertise in big data technologies (Spark, Hadoop, Kafka) is a plus.
Experience with MLOps practices, including CI/CD pipelines for ML models.
Solid understanding of data structures, algorithms, and software engineering principles.
Strong problem-solving skills and ability to work independently.
Preferred Qualifications:
Experience with natural language processing (NLP), computer vision, or reinforcement learning.
Familiarity with containerization technologies (Docker, Kubernetes) for model deployment.
Experience in handling real-time streaming data and working with time-series forecasting.
Background in statistics, optimization, or mathematical modeling.
Education:
Bachelor's or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.