Machine Learning Engineer

  Category :  Engineers 
  Position Type : Remote - Centizen Talent Hub 

Job Description

We are looking for a highly capable machine learning engineer to optimize our machine learning systems. He/she will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.

Soft Skills:

  • Ability to take lead and work in a trustworthy working environment.
  • Partner with the required teams and get seamless outputs.
  • Should be curious to learn more and collaborate whenever needed.
  • Ability to independently manage projects and report/present efforts to clients.
  • Strong communication skills.


  • Study and convert data science prototypes.
  • Design and develop Machine Learning systems and schemes.
  • Perform statistical analysis and fine-tune models using test results.
  • Find available datasets online for training purposes.
  • Train and re-train ML systems and models as and when necessary.
  • Extend and enrich existing ML frameworks and libraries.
  • Develop Machine Learning apps according to customer/client requirements.
  • Research, experiment with, and implement suitable ML algorithms and tools.
  • Analyze the problem-solving capabilities and use-cases of ML algorithms and rank them by their success probability.
  • Explore and visualize data for better understanding and identify differences in data distribution that could impact model performance when deploying it in real-world scenarios.

Required skills:· 

  • Advanced degree in Computer Science/Math/Statistics or a related discipline.
  • Advanced Math and Statistics skills (linear algebra, calculus, Bayesian statistics, mean, median, variance, etc.).
  • Proven experience as a Machine Learning Engineer or similar role.
  • Understanding of data structures, data modeling and software architecture.
  • Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn).
  • Robust data modelling and data architecture skills.
  • Programming experience in Python, R, Java, C++, etc.
  • Knowledge of Big Data frameworks like Hadoop, Spark, Pig, Hive, Flume, etc.
  • Experience in working with various ML libraries and packages like Scikit learn, Theano, Tensorflow, Matplotlib, Caffe, etc.
  • Finally, a demonstrated experience of working in Machine Leaning Jobs before is an added advantage.

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