About Sutherland
Artificial Intelligence. Automation.Cloud engineering. Advanced analytics.For business leaders, these are key factors of success. For us, they’re our core expertise.
We work with iconic brands worldwide. We bring them a unique value proposition through market-leading technology and business process excellence.
We’ve created over 200 unique inventions under several patents across AI and other critical technologies. Leveraging our advanced products and platforms, we drive digital transformation, optimize critical business operations, reinvent experiences, and pioneer new solutions, all provided through a seamless “as a service” model.
For each company, we provide new keys for their businesses, the people they work with, and the customers they serve. We tailor proven and rapid formulas, to fit their unique DNA.We bring together human expertise and artificial intelligence to develop digital chemistry. This unlocks new possibilities, transformative outcomes and enduring relationships.
Sutherland
Unlocking digital performance. Delivering measurable results.
Job DescriptionSutherland Global Services is seeking Professional Machine Learning Engineer with 4+ years of experience in building high-performing, scalable, enterprise-grade applications. As a Machine Learning Engineer, you'll design and deploy advanced NLP models using TensorFlow, Keras, and PyTorch. You'll collaborate across teams to translate requirements into scalable solutions and deploy them on Azure and Google Cloud. Your expertise in SQL ensures data integrity, while your continuous learning keeps us ahead in ML, NLP, and cloud tech. You'll also maintain APIs using Django, Flask, or similar frameworks for seamless integration. Leveraging large language models like GPT3.5-Turbo and GPT-4, you'll spearhead innovation, ensuring high efficiency and accuracy in machine learning applications.
Responsibilities:
Develop and implement machine learning algorithms and models, particularly focusing on natural language processing (NLP) applications.Develop and maintain APIs using web frameworks like Django, Flask, or similar, ensuring efficient and reliable integration of machine learning solutions into applications.Stay updated with the latest advancements in machine learning, NLP, and cloud technologies, and contribute to the continuous improvement of the team's knowledge and practices.Deploy machine learning models to cloud platforms such as Azure and Google Cloud for production use.Design, train, and optimize deep learning models using TensorFlow, Keras, and PyTorch for NLP tasks.Utilize SQL for data manipulation, querying, and analysis, ensuring data quality and integrity throughout the process.Collaborate with cross-functional teams to understand requirements and translate them into scalable and efficient solutions.Utilize Azure services for developing and deploying document processing solutions, leveraging large language models like GPT3.5-Turbo and GPT-4.QualificationsTo succeed in this position, you must:
Bachelor's or Master's degree in Computer Science, AI, or a related field.Strong proficiency in Python and familiarity with relevant libraries and frameworks (NumPy, SciPy, scikit-learn, pandas, matplotlib, spaCy, NLTK, etc.).Experience with deep learning frameworks such as TensorFlow, Keras, and PyTorch, with a focus on NLP applications.Familiarity with cloud platforms (e.g., Azure, Google Cloud)Experience with Django, Flask, or similar web frameworks for API development.Proficiency in SQL for data manipulation and analysis.Strong communication skills and ability to collaborate effectively in a cross-functional team environment.Experience with telecom integrations (e.g., Avaya, Twilio) would be advantageous.Develop and implement enterprise solutions for document processing, utilizing cutting-edge technologies like large language models and generative AI.Handson working with Azure Services, Large Language Models like GPT3.5-Turbo, GPT-4 etcAdditional InformationAll your information will be kept confidential according to EEO guidelines.