PRESCIENCE - AI/ML Engineer - NLP/Computer Vision

<p><p><b>Description : </b></p><p><br/></p><p>- Build, train, and deploy machine learning models to address key business challenges.<br/><br/>- Apply advanced deep learning techniquesincluding NLP, computer vision, and recommendation systems using frameworks such as TensorFlow and PyTorch.<br/><br/>- Design and develop scalable, end-to-end AI pipelines, from data preprocessing to production deployment.<br/><br/>- Leverage generative AI and large language models (e.g., transformers, embedding) to deliver innovative solutions.<br/><br/>- Partner with product and engineering teams to integrate AI capabilities into business workflows seamlessly.<br/><br/>- Clearly communicate model results and insights to both technical and non-technical stakeholders.<br/><br/>- Proven experience in data science or applied machine learning<br/><br/>- Analytical-minded, proactive, and results-driven.<br/><br/>- Excellent communicator with the ability to simplify complex ideas for any audience.<br/><br/>- Quick to learn, creative in problem solving, and takes ownership.<br/><br/>- Takes ownership, is self-motivated, and thrives in a fast-paced environment.<br/><br/><b>Requirements :</b></p><p><p><b><br/></b></p>- 2- 4 years of hands-on experience in data science or applied machine learning.<br/><br/>- Proficiency in Python and key machine learning libraries such as scikit-learn, XGBoost, and Hugging Face.<br/><br/>- Strong skills in data wrangling, feature engineering, and model evaluation.<br/><br/>- Experience with generative AI and large language models (e.g., transformers, embedding).<br/><br/>- Ability to build scalable end-to-end AI pipelines.<br/><br/>- Experience with cloud-based ML platforms (AWS, GCP, or Azure).<br/><br/>- Ability to stay current with emerging AI/ML trends and apply new techniques to solve real-world problems<br/><br/><b>Benefits :</b></p><p><p><b><br/></b></p>- Competitive salary and performance-based bonuses.<br/><br/>- Comprehensive insurance plans.<br/><br/>- Collaborative and supportive work environment<br/><br/>- Chance to learn and grow with a talented team.<br/><br/>- A positive and fun work environment.</p><br/></p> (ref:hirist.tech)