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Machine Learning Engineer @ Rudram Phronesis

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 Machine Learning Engineer

Job Description

Machine Learning Engineer

 Designing, developing, and deploying Machine Learning/deep learning systems to solve industry specific problems.

  1. Exploring, visualizing data and defining the preprocessing strategies
  2. Feature Engineering and Extraction.
  3. Running ML/DL tests and experiments.
  4. Implementing appropriate DL algorithms, training models and tuning their hyperparameters
  5. Analyzing the errors of the model
  6. Defining validation strategies and relevant metrics
  7. Deploying models to production

Required skills:

  1. Modelling - You should be familiar with ML concepts and algorithms understanding of the internals and pros/cons of models is required.
  2. Algorithms and Data Structures - You should have strong fundamentals of data structures and commonly used, algorithms.
  3. Design and build systems that mine massive datasets and structure/ engineer it to be usable for machine learning models. Experience in Big data handling is preferred.
  4. Strong Python Coding Skills (Object Oriented Programming)
  5. Knowledge of python libraries like Pandas, NumPy, Scikit-learn, matplotlib, seaborn, Keras
  6. Adept at Machine Learning Concepts like - SVM, Random Forests, Logistic Regression, Bayesian theory, Recommendation systems etc.
  7. Robust working knowledge with deep learning frameworks like TensorFlow/ PyTorch
  8. Good understanding on Statistics, Probability and linear algebra.
  1. Good knowledge in developing of software applications on Linux environment and maintaining software repositories and code documentation are essential skills.
  1. Problem solving approach; Communication and articulation skills; Inclination and ability to pick up new techniques/technologies and ability to work in a team

Good to have:
Knowledge of GPU/CUDA programming

  1. Knowledge of Git
  2. Experience using statistical computer language R with R Studio
  3. Use of SQL and page scrapping & other data manipulation tools and packages
  4. Experience of deploying and putting into production ML based solution

Benefits :

Being part of a startup that's turning out to be a game-changer, you will be blessed with:

  1. A young and energetic workplace where new ideas are always welcome. The crazier, the better.
  2. Freedom to try new things; failure is not censured
  3. Working with an enthusiastic team where growth and learning shall be taken care of.

Employement Category:

Employement Type: Full time
Industry: IT - Software
Role Category: Application Programming / MaintenanceWeb / Mobile Technologies
Functional Area: Not Applicable
Role/Responsibilies: Machine Learning Engineer

Contact Details:

Company: Rudram Phronesis
Location(s): Chennai

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Keyskills:   scikit-learn python deep learning numpy machine learning tensorflow keras pandas

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