Python Developer

Python Developer - AI/ML & Computer Vision (R&D Focus)

Sutherland is seeking a talented Python Developer with 2 to 4 years of experience, passionate about Machine Learning and Computer Vision. The ideal candidate will possess hands-on experience in setting up machine learning models for computer vision applications and training use cases. You should also have experience working with Generative AI models using open-source frameworks such as LLaMA, Mistral, and others. This role demands an R&D mindset, focused on exploring new technologies and delivering innovative solutions for real-world applications.

Key Responsibilities:

• Develop and implement machine learning algorithms and models, with a strong emphasis 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 abreast of the latest advancements in machine learning, NLP, and cloud technologies, contributing to the team's continuous learning and practice improvement.
• Deploy machine learning models to cloud platforms like Azure and Google Cloud for production environments.
• Design, train, and optimize deep learning models using TensorFlow, Keras, and PyTorch for NLP tasks.
• Utilize SQL for data manipulation, querying, and analysis, maintaining data quality and integrity.
• Collaborate with cross-functional teams to understand requirements and translate them into scalable and efficient solutions.
• Leverage Azure services for developing and deploying document processing solutions, utilizing large language models such as 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 like TensorFlow, Keras, and PyTorch, focusing 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.
• Experience with telecom integrations (e.g., Avaya, Twilio) is advantageous.
• Experience in 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.