Job Title

About the Role:We are seeking a highly motivated and enthusiastic AI Engineer to join our growing Artificial Intelligence team at DataFlow Group. This entry-level role is perfect for a recent graduate or early-career professional who is passionate about machine learning, deep learning, and building innovative AI-driven solutions. The successful candidate will work closely with senior engineers and data scientists to implement, test, and maintain machine learning models and pipelines.Duties and Responsibilities:● Assist in the collection, cleaning, and preprocessing of large datasets for ML model training.● Implement, test, and tune various machine learning algorithms, including Regression, Classification, and Clustering techniques, and prototypes under guidance.● Work on specific domain models such as Computer Vision, Image Processing, and Natural Language Processing (NLP).● Write and maintain clean, efficient, and well-documented code primarily in Python.● Participate in the deployment and monitoring of ML models in production environments.● Conduct basic statistical analysis, A/B testing, and comprehensive model evaluation.● Stay up-to-date with the latest AI/ML research and technologies.● Collaborate with cross-functional teams (e.g., software engineering, data science) to integrate AI/ML solutions.Qualifications:● Bachelor's degree in Computer Science, Engineering, AI, or a related field.● Familiarity with data structures, algorithms, and software design principles.● Proficiency in Python and experience with core ML libraries (e.g., Scikit-learn, Pandas, NumPy).● Familiarity with at least one deep learning framework (e.g., TensorFlow or PyTorch etc).● Solid understanding of basic machine learning concepts (e.g., supervised vs. unsupervised learning, model evaluation metrics, cross-validation, and hyperparameter tuning).● Basic knowledge of SQL and database concepts.● Excellent problem-solving skills and a willingness to learn rapidly.● Prior internship or project experience in AI/ML, demonstrating practical featureengineering or model development skills.● Experience with version control systems (e.g., Git).● Exposure to cloud platforms (e.g., AWS, Azure, GCP) and containerization (e.g., Docker) for potential ML deployment.● Demonstrated ability to read, understand, and summarize complex research papers. Evidence of academic publications.● Optimization Expert: Proven experience in optimizing application load times, rendering performance, and resource management.● Grit & Speed: You thrive in high-pressure environments and enjoy the challenge of meeting tight deadlines without compromising on quality.