Job Title: Data Analyst / AI & Deep Learning Location: Remote Type: Full-time Company Overview We work with organizations building advanced AI-powered solutions in areas such as real-time security, smart surveillance, and human behaviour analysis. Our clients combine technologies like computer vision, sensor fusion, and deep learning to drive innovation across embedded systems and cloud platforms. These solutions aim to make physical spaces safer, smarter, and more responsive. We're looking for early-career professionals who are eager to work with complex datasets, support machine learning workflows, and contribute to impactful, real-world AI products. Who would be a Good Fit? Candidates with strong foundation in data analysis, statistics, or machine learning fundamentals, and are passionate about turning messy, real-world data into meaningful insights. This role is perfect for someone with hands-on exposure to tools like Python and SQL, and an interest in working on next-generation AI products. Key Responsibilities Support the collection, cleaning, and preparation of datasets (image, video, sensor, time series). Assist in building and maintaining data pipelines for training and evaluating models. Perform exploratory data analysis (EDA) to uncover patterns or anomalies. Work with cross-functional teams to monitor model metrics and performance. Create visualizations and reports using tools like Seaborn, Plotly, or Tableau. Support annotation processes and help manage data quality checks. Automate routine data handling and reporting tasks using Python and SQL. Required Skills & Qualifications 1 to 3 years of experience in a Data Analysis, Data Science, or related role. Proficiency in Python, along with libraries like Pandas and NumPy. Solid understanding of data cleaning, preprocessing, and exploratory analysis. Working knowledge of SQL and experience working with relational databases. Familiarity with data visualization libraries or tools (e.g., Plotly, Tableau, PowerBI). Experience working with Jupyter or Google Colab for prototyping and analysis. Strong attention to detail and ability to follow data governance and documentation practices. Nice to Have Exposure to computer vision or sensor data projects. Experience with data labelling or annotation platforms (e.g., Label Studio, Roboflow). Familiarity with cloud platforms (e.g., AWS S3, EC2) and version control (Git).