ML Engineer

2 weeks ago


bangalore, India Tentek Full time
ML Engineer
SKILLS: Proficiency in designing, developing, and researching Machine Learning systems, models, and schemes. Ability to study, transform, and convert data science prototypes into practical applications. Experience in searching and selecting appropriate datasets for data collection and modeling. Strong background in performing statistical analysis and using results to enhance ML models. Skilled in training and retraining ML systems and models as necessary. Ability to identify differences in data distribution that could impact model performance in real-world scenarios. Proficient in visualizing data to extract deeper insights. Familiarity with analyzing use cases of ML algorithms and ranking them by their success probability. Understanding when findings can be applied to business decisions. Experience in enriching existing ML frameworks and libraries. Knowledge of verifying data quality and ensuring it through data cleaning processes. Excellent problem-solving skills, creativity, and the ability to adapt to new attack surfaces. 5+ years experience as a Machine Learning Engineer or a similar role. Advanced skills in programming languages such as Python, Java, or C++. Experience with machine learning frameworks such as PyTorch and libraries (e.g., NumPy, Pandas, or Keras). Adept at using big data processing tools (e.g., Hadoop, Spark) and data storage systems (e.g., SQL, NoSQL). Strong knowledge of the foundational concepts of MLOps, application development, infrastructure management, data engineering, and data governance. Prior experience of training, retraining, deploying, scheduling, monitoring, and improving models, as well as designing and creating scalable, performant solutions. Preferred experience with big data, statistics, and Machine Learning. Preferred experience with algorithms and optimization. Excellent problem-solving and analytical skills. Effective communication and collaboration abilities. Ability to work independently when needed. Knowledge of core security controls and systems such as risk analysis quantification and points of escalation. Knowledge of IT security regulations and standards, such as ISO. Strong analytical and critical thinking skills. Understanding of Agile processes and principles. Preferred experience with Azure DevOps.
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