AI/ML Engineer

As a Machine Learning Engineer at our company, you will be responsible for designing, developing, and implementing machine learning models and algorithms to solve complex business problems across various product platforms such as Logistics & Maritime. Your key responsibilities will include: - Collaborating with cross-functional teams to understand business requirements and translating them into AI/ML solutions. - Exploring and pre-processing large datasets to ensure data quality and relevance for model training. - Utilizing AWS or Azure-based cloud services for data storage, processing, and model deployment. - Building and optimizing AI models like TensorFlow to achieve high performance and accuracy. - Conducting model training, parameter tuning, and performance evaluation to continuously improve model performance. - Keeping up-to-date with the latest advancements in AI/ML technologies and contributing to the research and adoption of new techniques. - Performing data analysis and visualization to provide insights and support data-driven decision-making. - Working on bringing AI-driven features to various products to enhance automation, prediction, and recommendation capabilities. - Developing and maintaining documentation for AI models, data pipelines, and experiments. Qualifications and Experience: - Education: Bachelor's or Master's degree in Engineering Science, Data Science, or related field. - Experience: 1-2 years of relevant experience in AI/ML techniques, model building, and data science. Key Skills: - Experience in working with AI/ML for Logistics and Maritime products is preferable. - Understanding of business challenges in Logistics and Maritime industries. - Prior experience in integrating AI/ML into existing products. - Proficiency in programming languages like Python, R, or Java for data manipulation and model implementation. - Strong knowledge of machine learning algorithms, including supervised and unsupervised learning, regression, classification, and clustering. - Hands-on experience with AWS or Azure-based tools for data storage, processing, and cloud-based AI services. - Familiarity with popular AI frameworks like TensorFlow, PyTorch, Keras, or Scikit-learn for model development. - Demonstrated ability to work on end-to-end AI/ML projects, from data exploration and pre-processing to model deployment. - Solid understanding of data structures, data wrangling, and feature engineering techniques. - Strong analytical and critical thinking skills, with a keen eye for detail. - Excellent communication and collaboration skills to work effectively in a team environment. - Ability to work with diverse product teams in multiple verticals. Preferred Skills: - Experience with SQL & data tools. - Hands-on exposure to time-series forecasting, clustering, regression, and classification models. - Knowledge of optimization algorithms (linear programming, heuristics, genetic algorithms). - Exposure to/experience with fine-tuning of AI models. (Note: Additional company details are not provided in the job description),