HomeData Science JobsEmmess technologies private Limited | Hiring | MACHINE LEARNING ENGINEER | BigDataKB.com...

Emmess technologies private Limited | Hiring | MACHINE LEARNING ENGINEER | BigDataKB.com | 07-04-2022

Job Location: Chennai

Position: ML Engineer


  • Overall, 3 to 4 years of work experience with relevant experience as a Machine Learning Engineer or related role.
  • Understanding of data structures, data modelling and software architecture.
  • Familiarity and proficiency with machine learning frameworks (like PyTorch, TensorFlow, Keras, MxNet) and libraries (like scikit-learn, pandas).
  • Knowledge of CUDA, OpenCL, OpenGL, and OpenCV.
  • Proficiency in Python coding, knowledge in other programming languages is an added advantage.
  • Understanding and scripting on SQL/ NoSQL databases (e.g., MySQL, MangoDB)
  • Familiarity with various operating systems (e.g., Windows, UNIX)
  • Knowledge on deployment of the ML models on any cloud-based platforms (AWS, Azure, GCP.,)
  • Knowledge on Big Data & tools like Spark based – distributed training and inferencing.
  • Experience with designing and developing popular – highly scalable, distributed ML models and open-source projects.
  • Reinforcement Learning, Neural Networks and Natural Language Processing knowledge on packages like NLTK, Gensim, SpaCy, CoreNLP is a bonus.
  • Knowledge of text detection & OCR, human / face detection, generative models, reinforcement learning, video analytics, model compression / optimization.
  • Deep knowledge of math, probability, statistics, and algorithms.
  • Outstanding analytical and problem-solving skills.
  • Good team player and excellent written and verbal technical communication skills.
  • Preferable to have FMCG/CPG domain knowledge.
  • BE / BCA / BSc in Computer Science; Masters degree in the same stream is a plus.


  • Perform statistical analysis, fine tune test results, train and retrain systems while working on different frameworks & algorithms.
  • Developing deep learning systems to various use cases based on the business needs and finally implementing suitable AI/ML algorithms.
  • Develop and deploy machine learning applications according to requirements.
  • Select appropriate datasets and data representation methods.
  • Research and implement appropriate ML algorithms and tools as per requirements.
  • Study and transform data science prototypes.
  • Working with cross functional teams to get the details & provide the outputs to the senior ML engineers.
  • Understanding the product life cycle & working with Product Management to prioritize feature development.
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