Job ML/AI Engineer @ Softbinator Technologies nou

About us:

At Softbinator Technologies, we’re driven by innovation and excellence. As an engineer here, you’ll be working on high-impact projects that challenge the status quo and push the boundaries of technology. This is a place where you’ll tackle real-world problems, collaborate with exceptionally talented engineers, and build cutting-edge solutions that have a tangible impact.

Joining Softbinator Technologies means not only shaping the future of technology but also working closely with top-tier, innovative companies worldwide. You'll have the opportunity to contribute to groundbreaking projects with global reach.

This role will be crucial to the development and implementation of AI products. It s responsibilities will include designing and complex sophisticated machine learning models, in addition to improving and updating existing systems.

Responsibilities:

• Design machine learning systems.
• Research and implement machine learning algorithms and tools.
• Manage and direct research and development processes to meet the needs of our AI strategy.
• Develop machine learning applications in alignment with project requirements and business goals.
• Perform machine learning tests and statistical analysis in order to fine-tune the machine learning systems.
• Select appropriate datasets and data representation methods.
• Extend existing machine learning libraries and frameworks.
• Train systems and retrain as necessary.
• Work with the engineering and leadership teams on the functional design, process design, prototyping, testing, and training of AI/ML solutions.
• Advise leaders on technology, strategy, and policy issues related to AI/ML.

Education: Bachelor’s degree in Computer Science or Mathematics.

Experience:

• 2 years of experience applying AI to practical uses.
• Experience with deep learning, NLP and TensorFlow.
• Experience writing robust code in Python, Java, and/or R.
• Experience in REST API development, NoSQL database design.
• Knowledge of basic algorithms and object-oriented and functional design principles.
• Knowledge of data structures, data modeling and software architecture.
• Knowledge of math, probability, statistics and algorithms.
• Knowledge of machine learning frameworks such as PyTorch.
• Excellent communication skills.
• Strong analytical and problem solving skills.