Machine Learning
2 weeks ago
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 Client algorithms and tools.
Ensuring that algorithms generate accurate user recommendations.
Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.
Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
Developing Client algorithms to analyze huge volumes of historical data to make predictions.
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.
Masters degree in computational linguistics, data analytics, or similar will be advantageous.
At least two years' experience as a machine learning engineer.
Advanced proficiency with Python, Java, and R code writing.
Extensive knowledge of Client 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.
Skills
Proficiency with a deep learning framework such as Tensor Flow or Keras
Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas. 3+Years of experience on python development
Knowledge on basics of math and probability
3+ years of experience on SQL and RDBMS concepts
Exposure to cloud and cloud computing especially AWS, Sagemaker , EMR, Snowflake
Expertise in visualizing and manipulating big datasets
Familiarity with Linux
Ability to select hardware to run an Client model with the required latency
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