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SynapseHealthTech65/100

Entry-Level AI/ML Engineer

Опубликовано: 3 июня 2026
juniorML / Data Sciencefulltimeenpythonpytorchtensorflowscikit-learnmachine learningdata preprocessingfeature engineeringawsgcpazurenlpcomputer vision
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Seeking a motivated Entry-Level AI/ML Engineer to design, develop, test, and deploy ML models in healthcare. You will work with senior engineers on the full ML lifecycle, using PyTorch, TensorFlow, and cloud services.
Job Description: Entry-Level AI/ML Engineer About the Company SynapseHealthTech is an innovative health tech company leveraging artificial intelligence and machine learning to solve real-world problems in healthcare. We are seeking a motivated and talented Entry-Level AI/ML Engineer to join our growing AI team. This is an excellent opportunity for recent graduates or early-career professionals passionate about building intelligent systems. Role Summary As an Entry-Level AI/ML Engineer, you will work closely with senior engineers and data scientists to design, develop, test, and deploy machine learning models and AI solutions. You will contribute to the full lifecycle of ML projects—from data preparation to model deployment—while gaining hands-on experience with cutting-edge tools and technologies. This role emphasizes learning, collaboration, and delivering impactful AI-driven features. Key Responsibilities • Assist in developing, training, and optimizing machine learning models using frameworks like PyTorch, TensorFlow, and scikit-learn. • Perform data preprocessing, feature engineering, and exploratory data analysis on large datasets. • Run experiments, evaluate model performance (using metrics like accuracy, precision, recall, F1), and document results. • Help deploy ML models into production environments (e.g., via APIs, cloud services like AWS/GCP/Azure) and monitor their performance. • Collaborate with cross-functional teams (data scientists, software engineers, product managers) to integrate AI capabilities into applications. • Support research into new AI techniques, including LLMs, computer vision, or NLP where relevant. • Maintain and improve data pipelines and ML infrastructure. • Stay up-to-date with advancements in AI/ML and apply best practices. Email at: ••••@••••.••