Python Developer

Sutherland Global Services is seeking a professional Machine Learning Engineer with over 4 years of experience in building high-performing, scalable enterprise-grade applications. This role involves designing and deploying advanced NLP models using TensorFlow, Keras, and PyTorch. You will collaborate across teams to translate requirements into scalable solutions and deploy them on Azure and Google Cloud. Strong SQL skills are essential for data integrity. Continuous learning in ML, NLP, and cloud technologies is expected. Responsibilities include maintaining APIs using frameworks like Django or Flask for seamless integration, and leveraging large language models such as GPT3.5-Turbo and GPT-4 to drive innovation with high efficiency and accuracy.

Responsibilities:

• Develop and implement machine learning algorithms and models, with a focus 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.
• Stay updated with the latest advancements in machine learning, NLP, and cloud technologies, contributing to team 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.
• 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.

Qualifications:

• 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 like Azure and 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) is advantageous.
• Experience developing and implementing enterprise solutions for document processing, utilizing large language models and generative AI.
• Hands-on experience with Azure Services and Large Language Models like GPT3.5-Turbo, GPT-4.

All information will be kept confidential according to EEO guidelines.