Senior Applied Scientist - Artificial Intelligence / Machine Learning

About the Role :

We are seeking a highly motivated and skilled Senior Applied Scientist to join our cutting-edge AI / ML team.

In this role, you will spearhead the research, development, and deployment of advanced machine learning models, focusing on Computer Vision and Large Language Models (LLMs).

You will collaborate closely with product managers, engineers, and data scientists to translate complex AI research into scalable, production-ready solutions that create meaningful user impact.

If you have a passion for pushing the boundaries of AI technology, enjoy hands-on development, and thrive in fast-paced environments, this role offers a unique opportunity to work at the forefront of Responsibilities :

• Lead research initiatives to design and implement state-of-the-art computer vision algorithms and large language model architectures tailored for real-world applications such as image recognition, segmentation, generation, and natural language understanding.
• Build, fine-tune, and optimize deep learning models, including transformer-based LLMs and advanced CV models, ensuring high accuracy, robustness, and generalization.
• Design and develop scalable, end-to-end machine learning pipelines that support efficient training, validation, deployment, and inference at scale.
• Work closely with product, engineering, and data science teams to integrate ML models into products, ensuring seamless production deployment and alignment with business goals.
• Profile and optimize models and pipelines for latency, throughput, and resource efficiency, especially under real-time and large-scale deployment constraints.
• Produce clear documentation of algorithms, methodologies, and implementation details; share knowledge across teams through presentations, code reviews, and technical discussions.
• Keep abreast of the latest research trends and advancements in AI, machine learning, computer vision, and natural language processing to continuously enhance the teams Qualifications :
• Bachelors or Masters degree in Computer Science, Electrical Engineering, AI / ML, or related fields.
• 2 to 4 years of hands-on experience in applied machine learning or deep learning roles, preferably in

industry or research settings.

(ref : hirist.tech)