Job
Description
Established in 1986, Sutherland is a global provider of business process and technology management services offering an integrated portfolio of analytics-driven back-office and customer facing solutions that support the entire customer lifecycle. As a process transformation company, Sutherland rethinks and rebuilds processes for the digital age by combining the speed and insight of design thinking with the scale and accuracy of data analytics. We have been helping customers across industries from financial services to healthcare, achieve greater agility through transformed and automated customer experiences for over 30+ years. We are seeking a skilled and experienced Machine Learning Engineer specialized in Natural Language Processing (NLP) and Computer Vision to join our team. The ideal candidate should have a strong foundation in ML and AI principles, coupled with a proven track record of developing and deploying a minimum of 20+ models in these domains 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 etc
