AI/ML Engineer

Role & 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.

Preferred candidate profile

• Education: Bachelor's or Master's degree in Engineering Science, Data Science, or related field.
• Experience: 3-4 years of relevant experience in AI/ML techniques, model building, and data science.
• 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

Perks and benefits

Competitive salary and perks