Havells - AI/ML Research Engineer - Python/Tensorflow

3 weeks ago

Bangalore, Karnataka, India Havells India Limited Full time

Job Description :


Responsibilities :


- Delivering an end-to-end solution, starting with requirements comprehension, developing research proposals, implementing the research by experimenting with various methodologies and algorithms, documenting, and presenting outcomes.


- Utilize programming, data modelling, analytical and statistical techniques to analyse vast amounts of data and produce insights that can be put to use.


- Create and test hypotheses, then plan experiments to address specific, challenging questions.


- Project documentation includes corporate goals, data collection and processing procedures, leading strategies, the final algorithm, and a comprehensive list of outcomes and analytical metrics.


- Establish best practises and procedures, share information with the team, mentor more junior team members, and contribute to the shared code library.


- Take ownership of your tasks and have end to end responsibility from planning stage to presenting results


Qualifications :


- At least 5+ years of working experience in development with at least 4+ years of relevant experience in developing AI/ML based solutions


- At least 4+ years of hands-on data science experience using Python for data analytics, visualization, statistical programming and data mining for problem-solving.


- Domain knowledge and experience in Internet of Things (IoT) is a plus.


- Demonstrated expertise in managing end-to-end research POCs, including the design, execution, analysis, and conclusions of your research, techniques, and outcomes.


- Excellent understanding of data science, machine learning, deep learning (CV, NLP) techniques, algorithms, and toolkits to develop and deploy scalable solutions for production.


- Applied mathematical and statistical skills, such as statistical analysis, distributions, multivariate testing, regression, classification, and optimization algorithms, etc. to create, test, analyse, and explain results.


- Well familiar with Edge computing and neural networks using Tensorflow Lite, TinyML.


- Familiar with MLOps tools like MLflow or Kubeflow, deep learning frameworks like TensorFlow, or Pytorch.


- Working experience with big data systems (Hadoop, Spark, Hive) is an advantage


Mandatory Skills : Machine Learning, Deep Learning, Tensorflow, Python,

(ref:hirist.tech)

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