AI/ML Engineer - R/Python

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.