
AI Engineer
1 day ago
We're a leading innovator in AI, pushing the boundaries of what's possible. Our team is comprised of experienced professionals dedicated to designing, building and deploying cutting-edge AI models that drive business outcomes.
Our goal is to stay ahead of the curve by adopting the latest techniques and technologies in machine learning. We believe that collaboration, innovation and expertise are key to delivering exceptional results.
In this role, you'll be part of our AI engineering team responsible for developing, training and deploying machine learning models using regression, classification, clustering and deep learning techniques. You'll work closely with cross-functional teams to align your efforts with our business goals.
To succeed, you'll need a strong foundation in Python, as well as experience with popular ML libraries such as scikit-learn, TensorFlow and PyTorch. Familiarity with data tools like Pandas, NumPy and Spark is also essential. Additionally, you should have hands-on experience with cloud platforms like AWS, GCP or Azure, and a solid understanding of DevOps/MLOps practices and Agile development methodologies.
This role offers an exciting opportunity to make a real impact on our business while continuously expanding your skills and knowledge in AI. If you're passionate about innovation and committed to excellence, we want to hear from you
- Familiarity with databases (SQL, MongoDB, Cassandra) and version control (Git)
- Expertise with containerization and orchestration tools like Docker and Kubernetes
- Experience with API development and integration with enterprise applications
- Able to collaborate effectively with cross-functional teams
Key Qualifications:
- Minimum 3 years of experience in machine learning engineering or related field
- Strong proficiency in Python; knowledge of Java/Scala/R is a plus
- Excellent problem-solving, communication and collaboration skills
Benefits:
As a member of our AI engineering team, you can expect:
- A competitive salary and benefits package
- Opportunities for professional growth and development
- A collaborative and dynamic work environment
- The chance to work on cutting-edge projects and technologies
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