Machine Learning Engineer
SweedFull Time
Mid-level (3 to 4 years)
Candidates should have 4+ years of experience as an ML engineer, with a Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field. Strong programming skills in Python, R, or Java are required, along with experience in machine learning frameworks like TensorFlow or PyTorch and libraries such as scikit-learn or Keras. A deep understanding of statistics, data structures, data modeling, and software architecture is necessary, as are strong communication skills for explaining technical concepts to non-technical stakeholders. Experience with cloud services (AWS, Azure, Google Cloud) and NLP or computer vision is considered a plus.
The AI/ML Engineer will design and develop machine learning algorithms and models to solve complex problems and improve user experiences. Responsibilities include collaborating with data engineers on data and model pipelines, conducting data exploration and feature engineering, and implementing machine learning models into production with optimization, scaling, and API integration. The role also involves monitoring and evaluating ML system performance, staying current with AI/ML technologies, documenting and presenting model development, and working with product teams to translate requirements into technical solutions. Optimizing existing ML systems for stability and performance is also a key duty.
Owner representation and construction management consulting
Long View Systems provides tailored consulting services in Owner Representation and Construction Management for developers, property managers, and design professionals. Their services are designed to support projects ranging from $300,000 to $200 million, leveraging over 30 years of experience in the Mid-Atlantic market. The company stands out from competitors by offering senior-level expertise and a well-established network across various disciplines, fostering long-term relationships that go beyond simple transactions. The goal of Long View Systems is to deliver sustainable solutions that ensure projects are completed efficiently, on time, and within budget, while maintaining a strong respect for the skilled tradespeople involved in the construction process.