Junior Machine Learning and AI Developer

Description

**Apollo Solutions Dev** is a rapidly growing technology development startup founded with the mission of bridging research solutions with industrial challenges, delivering to our clients cutting-edge technologies in **Computer Vision, Artificial Intelligence, and Machine Learning**. We are a team of engineers, developers, and researchers who believe knowledge is the foundation for creating new technologies that meaningfully impact people's lives. We are seeking a **Junior Machine Learning and AI Developer** to join our technical team. The professional will play a pivotal role in developing and implementing AI models, contributing to high-impact projects for national and international industries. Responsibilities * Support the development of **Machine Learning and Deep Learning** models (classification, detection, segmentation, NLP, and LLMs). * Collaborate on **dataset preprocessing and organization**. * Assist in implementing and fine-tuning predefined architectures (under supervision). * Support the creation of **model training and evaluation pipelines**. * Contribute to writing clean and testable code in **Python**. * Participate in **agile planning** and collaborate with other developers. Required Qualifications * Bachelor’s degree in progress or completed in **Computer Science, Engineering, Information Systems, or related fields**. * Practical experience with **Python** and data libraries (**NumPy, Pandas, Scikit-Learn**). * Basic knowledge of **Deep Learning** (TensorFlow/Keras or PyTorch). * Familiarity with **Computer Vision** (OpenCV). * Experience with **Docker** and **Kubernetes**. * Knowledge of **AWS or Google Cloud** (EC2, S3/GCS, Lambda, AI/ML services). * Basic knowledge of **SQL**, **REST APIs**, and familiarity with **JavaScript** for integration. * Intermediate English proficiency for technical reading. Preferred Qualifications * Familiarity with **3D computing** or model reconstruction. * Familiarity with **performance optimization** (CUDA, TensorRT, ONNX Runtime). * Familiarity with **MLOps** (CI/CD for ML, MLflow, DVC, Kubeflow). * Publications, open-source contributions, or a strong portfolio of personal projects. What We Offer: * Work model: **100% remote (home office)!** * Employment type: **CLT** (40-hour workweek) * Benefits: Birthday day off, WellHub, Education Assistance (Life Long Learning partnership), FLASH Card (Flexible Benefits), SESC membership, and Life Insurance. * A relaxed and collaborative work environment! * Opportunities for continuous learning and hands-on experience with high-impact real-world projects! Why Join Us? Here you’ll find a culture of innovation and growth, where every project offers a chance to learn and make a difference. Join a team that combines cutting-edge technology, a collaborative environment, and impactful projects. Apply now and grow your career with us! Selection Process Steps: * Resume screening * Questionnaire * Customized questions * Practical programming test * HR interview * Manager interview + live coding * Offer