AIML – Machine Learning Engineer, Search & AI

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.

Role: Machine Learning Engineer

Industry Type: IT Services & Consulting

Department: Data Science & Analytics

Employment Type: Full Time, Permanent

Role Category: Data Science & Machine Learning