AI/ML Engineer

  • : 10061
  • : AI/ML Engineer
  • : IT
  • : 4+
  • : Remote
  • : Respective

Job Description - AI/ML Engineer

for Gomoder


Machine Learning Engineer Responsibilities:

• Consulting with managers to determine and refine machine learning objectives.

• Designing machine learning systems and self-running artificial intelligence (AI)

software to automate predictive models.

• Transforming data science prototypes and applying appropriate ML algorithms and


• Ensuring that algorithms generate accurate user recommendations.

• Turning unstructured data into useful information by auto-tagging images and text-to-

speech conversions.

• Develop models and train them.

• Deploying models to production

• Solving complex problems with multi-layered data sets, as well as optimizing existing

machine learning libraries and frameworks.

• Usage of ML algorithms to analyze huge volumes of historical data to make


• Running tests, performing statistical analysis, and interpreting test results.

• Documenting machine learning processes.

• Keeping abreast of developments in machine learning.

Machine Learning Engineer Requirements:

• Bachelor's degree in computer science, data science, mathematics, or a related field.

• Master’s degree in computational linguistics, data analytics, or similar will be


• At least 3 years' experience as an AI/machine learning engineer.


• Advanced proficiency with Python & Java coding.

• Familiar in using Jupyter notebook or similar, VS code etc.,

• Familiarity using Transformers libraries from Hugging face

• Experience on Deep learning, NLP, NLU are must.

• Must have experience with at least one cloud provider solution (AWS, GCP, Azure)

• Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries

(like scikit-learn)

• Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and

software architecture.

• In-depth knowledge of mathematics, statistics, and algorithms.

• Superb analytical and problem-solving abilities.

• Great communication and collaboration skills.

• Excellent time management and organizational abilities.

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