- Proficiency in Python and R.
- Knowledge of Java, Scala, or other languages may also be beneficial.
- Machine Learning & Deep Learning- Understanding of ML algorithms and frameworks such as Scikit-Learn, TensorFlow, Keras, PyTorch.
- Experience with deep learning architectures (CNNs, RNNs, LSTMs).
- Strong grasp of statistical analysis, probability, and data modeling.
- Familiarity with Electronic Health Records systems.
- Skills in NLP techniques for processing clinical notes and medical literature.
- Experience with cloud services like AWS and Azure for deploying ML projects.
- Ability to communicate complex technical concepts to non-technical stakeholders.
Carnival Building, 13th Floor, Technopark Campus, Karyavattom, Trivandrum , 695581
ML Engineer (Machine Learning)
Brief Description
Preferred Skills
Skills: Python & R, AWS/Azure, CNNs/RNNs/LSTMs
Experience: 3-4 Years