Job Location: Chennai
Position: ML Engineer
Qualifications:
- 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.
Responsibilities:
- 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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