Artificial Intelligence/Machine Learning Engineer
1 month ago
We are seeking experienced AI/ML Engineers with strong background in data science, machine learning algorithms, and practical knowledge of AI techniques to join our team. The ideal candidates should have hands-on experience with Azure-based AI tools and be proficient in building AI models using TensorFlow, PyTorch etc. The role requires a solid understanding of machine learning concepts and the ability to develop and optimize AI models for our diverse product lines.
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 : 3-4 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
- 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
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