Senior Machine Learning Engineer

Content (Job Description):

At NeoSpace, we’re pioneering cutting-edge solutions that leverage state-of-the-art machine learning to transform industries and improve lives. As a Senior Machine Learning Engineer, you’ll collaborate with a team of world-class researchers and software engineers to build, optimize, and deploy scalable AI models.

Responsibilities:

• Design, train, and optimize advanced ML models to power our core AI products.

• Develop scalable data pipelines for model training and real-time inference.

• Collaborate with cross-functional teams to identify growth opportunities and integrate ML features.

• Stay current with emerging trends and research in the machine learning and AI domains.

Requirements:

• Strong background in machine learning, deep learning, and related frameworks (e.g., TensorFlow, PyTorch).

• Proven experience in Python and data engineering technologies (e.g., Spark, Airflow).

• Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).

• Excellent problem-solving skills and a passion for pushing the boundaries of AI.

Why Join NeoSpace?

• Work at the forefront of AI innovation, shaping the future of intelligent systems.

• Collaborate with a diverse, passionate team and gain exposure to a range of advanced technologies.

• Competitive compensation, equity options, and comprehensive benefits package.

• Professional development opportunities, flexible work arrangements, and an inclusive workplace culture.