Senior Machine Learning Engineer

• We're looking for a driven Senior Machine Learning Engineer to develop groundbreaking solutions in classical ML, NLP, and Deep Learning, revolutionizing global logistics.
• As a Senior Engineer, you will work closely with lead Machine Learning Engineers to spearhead the development and deployment of cutting-edge machine learning models. This role offers an opportunity for professional growth, allowing you to expand your skill set while making meaningful contributions to impactful projects.

Must have:

• Has hands-on experience with machine learning algorithms and libraries (e.g., TensorFlow, Keras or PyTorch) for tasks like classification, regression, clustering, and natural language processing (NLP)
• Displays a solid understanding of machine learning concepts and techniques. This includes knowledge of deep learning architectures, optimization algorithms, backpropagation, and hyperparameter tuning.
• Is comfortable debugging and analysing problems in a distributed system, including issues outside of their own sphere of technology.
• Has a penchant for simplicity and reliability.
• Is familiar with git and happy to have their contributions peer reviewed.
• Loves learning.
• Communicates clearly and kindly.

Good to Have:

• Knowledge of the Observability domain, understanding the context, and customizing the language model accordingly.
• Exposure to advanced imputation, feature engineering, re-training and hyper parameter tuning.
• Experience visualizing/presenting data for stakeholders.

Responsibilities:

• Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.
• Selecting features, building and optimizing machine learning algorithms that impact the business
• Build and deploy machine learning models for predictive and prescriptive analytic.
• Monitoring model performance and creating alerts for any data leakage
• Defining validation framework and establish a process to ensure acceptable data quality criteria.
• Strong written, verbal, and presentation skills with the ability to present complex concepts in easy-to-understand language.
• Stay updated with the latest developments in data science and machine learning.

Skills:

Statistical Data Analysis, Data Visualization, Data Science, Python or R (Programming Language), Data Analytics, Understanding of big data technologies (e.g., Hadoop, Spark), Familiarity with cloud platforms and services (e.g., AWS, Azure).