keyboard_backspace Machine Learning Engineer

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.

Responsibilities:

• 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.