Machine Learning Engineer
Design, implement, and deploy machine learning models and systems to solve problems and drive business outcomes. Research, develop, and
implement machine learning algorithms and models for tasks such as classification, regression, clustering, anomaly detection, and
recommendation systems. Collect, preprocess, and curate large datasets required for training generative models. Experiment with different
machine learning techniques and algorithms, including supervised, unsupervised, semi-supervised, reinforcement, and deep learning. Design and
optimize machine learning pipelines and workflows, incorporating techniques for data cleaning, feature engineering, model selection, and
hyperparameter tuning. Develop scalable and efficient machine learning infrastructure and systems for training, testing, and deploying models in
production environments. Work collaboratively with cross-functional teams to develop scalable and reliable machine-learning solutions across
various domains and applications. Evaluate and benchmark machine learning models using appropriate metrics and methodologies and iterate on
model designs to achieve desired performance objectives. Stay up-to-date with the latest advancements in machine learning research, tools, and
technologies, and integrate relevant innovations into ongoing projects. Career-level professional within field. Considered highly skilled and
proficient in discipline. Conducts complex, important work under minimal supervision with wide latitude for independent judgment. Typically requires
a bachelor's degree (or international equivalent) and 5+ years of relevant experience.
Working at Speedcast:
At Speedcast, we want people that like adventure. Who are motivated by work that takes uncommon ingenuity and thinking outside the box. Who relish the idea of working in an industry undergoing massive transformation. If you want to be part of a global team responsible for connecting the world, then you’re in the right place.
We're always pushing forward, never standing still. When people rely on you and your team to stay connected, it brings everyone closer together. We’re united by the adrenaline of high-stakes projects and our love of getting the job done right. You will experiment, learn and grow here, right alongside us, every single day.
Find great opportunities to make an impact. We have a "one team, one dream" mentality. We work together to make great things happen. Working at Speedcast isn't just a job, it's a career that you can take to new levels.
Top reasons why people love working at Speedcast:
Our global presence – you get to work with clients and colleagues all over the world, in every continent
Talented teammates – your co-workers are the best and brightest in the industry
Industry leadership – be part of the latest advancements shaping the future of communications
Ability to develop skills – work across departments to gain new skills and valuable experience
Choose your environment – we have an environment to fit your temperament. Choose between a traditional desk job or work in the field.
Grow your career - Guide your career in the direction you want. Gain new titles and responsibilities through our internal promotion system.
Work on diverse projects – every day is different with our customers from a range of industries around the world
Speedcast is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, veteran status, and other protected characteristics. The US EEO is the Law poster is available by visiting the below link:
https://www.eeoc.gov/employers/upload/poster_screen_reader_optimized.pdf
Speedcast does not accept or retain unsolicited résumés or phone calls and/or respond to them or to any third party representing job seekers.
