- Machine Learning Analyst responsibilities include creating machine learning and Deep learning models and retraining systems. Need to have exceptional skills in statistics and programming.
- Knowledge of data science and computing will be required. Your ultimate goal will be to shape and build efficient self-learning applications to solve business problems.
Key Responsibilities:
- Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress
- Managing available resources so that project deadlines are met
- Analysing the ML algorithms that could be used to solve a business problem and ranking them by their success probability
- Exploring and visualising data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
- Select appropriate datasets and data representation methods
- Defining validation strategies
- Training models and tuning their hyper parameters
- Analysing the errors of the model and designing strategies to overcome them
Ideal Candidate will have :
- Proven experience as a Machine Learning Analyst or similar role
- Understanding of data structures, data modeling and software architecture
- Deep knowledge of math, probability, statistics and algorithms
- Ability to write robust code in Python, Scala and R
- Familiarity in SPARK or any other distributed environment will be preferred
- Excellent communication skills
- Ability to work in a team
- Outstanding analytical and problem-solving skills
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