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Machine Learning Engineer @ Sutherland

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 Machine Learning Engineer

Job Description

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.


Role & responsibilities

  • Develop and implement state-of-the-art machine learning algorithms and models for NLP and computer vision applications.
  • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
  • Conduct thorough data analysis, pre-processing, and feature engineering to extract meaningful insights from structured and unstructured data.
  • Design and implement scalable and efficient machine learning pipelines for training, evaluation, and inference.
  • Experiment with various deep learning architectures, hyperparameters, and optimization techniques to improve model performance.
  • Stay updated with the latest advancements in ML and AI research and evaluate their potential applications in our domain.
  • Work closely with software engineers to integrate ML models into production systems and ensure their robustness and scalability.
  • Perform rigorous testing and validation of models to ensure their accuracy, reliability, and generalization capability.
  • Continuously monitor and maintain deployed models, and implement necessary updates and enhancements as required.
  • Document code, methodologies, and findings effectively, and contribute to internal knowledge sharing initiatives

Preferred candidate profile

  • Strong theoretical understanding of machine learning algorithms, deep learning frameworks, and statistical modeling techniques.
  • Proficiency in programming languages such as Python, along with experience in popular ML libraries such as TensorFlow, PyTorch, or scikit-learn.
  • Hands-on experience in developing and deploying machine learning models for NLP and computer vision tasks, with a demonstrable portfolio of projects.
  • Solid understanding of natural language processing techniques, including text classification, sentiment analysis, named entity recognition, etc.
  • Familiarity with computer vision concepts such as image classification, object detection, image segmentation, etc., and experience with frameworks like OpenCV or TensorFlow.
  • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus.

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time

Contact Details:

Company: Sutherland
Location(s): Chennai

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Keyskills:   Ml Libraries Natural Language Processing Machine Learning Algorithms Computer Vision Python Agentic Ai RAG Transformer Architecture Deep Learning

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Sutherland

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