Computer Vision
Job Description
1. Working on statistical modelling - In-depth knowledge of machine learning algorithms and their applications including practical experience with and theoretical understanding of algorithms for classification, regression, clustering, deep learning, and reinforcement learning
2. Translating analysis results into business recommendations
3. Implementing data science pipelines and applications in a general programming language such as Python, Scala, or Java, or Spark
4. Crafting a measurement strategy to evaluate the performance of AI/ML & computer vision models
5. Designing, developing, and programming methods, processes, and systems to consolidate and analyze unstructured, diverse -big data- sources to generate actionable insights and solutions for product enhancement
Only those candidates can apply who:
1. are available for the part time job/internship
have relevant skills and interests
* Women wanting to start/restart their career can also apply.
1. Should have hands-on experience in implementation, performance tuning, and machine learning model deployment
2. Should have experience with scripting languages (Python, Pyspark)
3. Should have worked on any of cloud providers such as AWS (preferred), Azure, or GCP to train, deploy and run deep learning models
4. Should have hands-on experience on deep learning frameworks, e.g. TensorFlow, Pytorch, MXNet, BERT
5. Should have experience in natural language understanding, computer vision, machine learning, algorithmic foundations of optimization, data mining, or machine intelligence (artificial intelligence)
Certificate: Will be provided at the end of the Internship
