AI/ML Engineer - R/Python

Job Description

Description Key Responsibilities : Design, develop, and implement machine learning models and algorithms for solving complex business problems for our different product platforms spanning diverse verticals like Logistics & Maritime Collaborate with cross-functional teams to understand business requirements and translate them into AI/ML solutions. Explore and pre-process large datasets to ensure data quality and relevance for model training. Utilize AWS or Azure-based cloud services for data storage, processing, and model deployment. Build and optimize AI models like TensorFlow to achieve high performance and accuracy. Conduct model training, parameter tuning, and performance evaluation to continuously improve model performance. Keep up-to-date with the latest advancements in AI/ML technologies and contribute to the research and adoption of new techniques. Perform data analysis and visualization to provide insights and support data-driven decision-making. Work on bringing out AI-driven features to our various products to enhance automation, prediction, and recommendation capabilities Develop and maintain 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 preferrable. Understanding of business challenges any of the above industries Prior experience in integrating AI/ML into existing products Experience in deep learning, natural language processing (NLP), or computer vision is a plus. 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. (ref:hirist.tech)