Tag: FullStackDevelopment

We’re transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more…

Overview of the role  Phoenix enables digital transformation in the workplace, empowering UK organisations to innovate and transform with cloud and hybrid infrastructures, data, AI, security, and collaboration tools.   We…

Overview IXIS is seeking an energetic individual with experience building cloud-first software in AWS to join our team in developing cutting-edge, custom analytics and data socialization solutions. In this role,…

Role Description As an Infrastructure Engineer, your role will be crucial in shaping and constructing the robust systems that not only support our current flagship products but also lay the…

Description We’re seeking a highly skilled AI Engineer. Our client within the technology space is offering innovative projects that solve real-world problems with AI. This role will provide opportunities to work with cutting-edge technologies and deliver impactful AI solutions. Key Responsibilities: Develop, train, and deploy machine learning (ML) and deep learning models to solve industry-specific challenges. Design scalable data pipelines and preprocess datasets for training and inference. Collaborate with cross-functional teams to integrate AI models into existing systems. Research and implement state-of-the-art algorithms for areas like NLP, computer vision, predictive analytics, and generative AI. Conduct error analysis and improve models to address bias, fairness, and explainability. Document technical processes and results, ensuring knowledge sharing within teams. What We’re Looking For: Technical Skills: Proficiency in programming languages like Python, R, or Java. Hands-on experience with AI frameworks such as TensorFlow, PyTorch, or scikit-learn. Strong knowledge of data preprocessing, feature engineering, and model evaluation metrics. Expertise in at least one domain: Natural Language Processing (NLP) Computer Vision Reinforcement Learning Generative AI (e.g., GPT, Stable Diffusion) Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) for model deployment. Strong grasp of mathematics and statistics (e.g., linear algebra, probability, optimization). Soft Skills: Ability to explain complex AI concepts to non-technical stakeholders. Strong problem-solving and critical-thinking skills. Passion for continuous learning and staying updated with the latest AI trends. Requirements Preferred Qualifications: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Industry certifications in AI/ML (e.g., AWS AI/ML Certification, Coursera AI Specializations). Previous experience in sectors like healthcare, finance, retail, or autonomous systems is a plus.…

  Rey is a tool that lets anyone build mobile apps visually. We believe in a world where the power of software creation is accessible to everyone, not just those…

Gradient AI:     This is a fully remote opportunity. Gradient AI is revolutionizing Group Health and P&C insurance with AI-powered solutions that help insurers predict risk more accurately, improve profitability,…

Who We Are Founded in 2023 by music industry veteran Matthew Adell, serial startup founder Sean Power, and Machine Learning expert Nicolas Gonzalez Thomas, Musical AI builds technology that makes…

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2…

Hims & Hers is the leading health and wellness platform, on a mission to help the world feel great through the power of better health. We are redefining healthcare by…