Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
Minimum of 3 years of experience in machine learning, with a focus on NLP, LLMs, and/or computer vision.
Proficient in programming languages such as Python and frameworks like TensorFlow, PyTorch, Keras.
Strong understanding of machine learning algorithms, deep learning architectures, and statistical modeling.
Experience with natural language understanding, language generation, and computer vision techniques.
Familiarity with cloud platforms (AWS, Azure, GCP) and their ML services.
Excellent problem-solving skills and ability to work in a fast-paced environment.
Strong communication and collaboration skills.

Machine Learning Engineer - Computer Vision

Location: Dhaka (Gulshan 1)/Remote

Timing: Flexible but limited hours need to be provided on Friday which will be adjusted against weekday hours.

Type: Full-time

About Us:

Ether Technologies Ltd is a product management company with a specialization in Content Management Systems and SAAS.

We are at the forefront of innovation in machine learning, natural language processing (NLP), large language models (LLMs), and computer vision. Our mission is to leverage these technologies to solve real-world problems and create compelling SAAS products for the global marketplace.

We are seeking a highly skilled and experienced Machine Learning Engineer to join our dynamic team. The ideal candidate will have a strong background in NLP, LLMs, and computer vision, with a passion for AI and a commitment to staying abreast of the latest industry trends and technologies.

Design, develop, and implement machine learning models, with a focus on NLP, LLMs, and computer vision.
Collaborate with cross-functional teams to integrate AI solutions into our products and services.
Conduct research and experiment with new technologies and techniques to improve model performance and efficiency.
Work on large-scale datasets to train and fine-tune models for specific applications.
Continuously evaluate and improve existing ML models and pipelines.
Stay up-to-date with the latest developments in AI, especially in NLP, LLMs, and computer vision.
Mentor junior engineers and contribute to the team's knowledge base.

Machine Learning Engineer

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