* Overall 9+ years of experience in software industry, and 5-8 years of experience in building and architecting of production ready AI solutions, majorly using Machine Learning (ML), Deep Learning (DL), Statistical Modelling (SM).
* Experience in converting convert business problems to ML problems.
* Should have experience in AI consulting, customer interaction, building relationships, helping sell the deal
* Very good hands on programming experience using Python, R, Java
* A deeper understanding of ML-DL-SM and the popular frameworks/platforms.
* Good hands-on experience in using ML, DL, Pattern Recognition, and SM for problem solving.
* Deep conceptual understanding of ML, DL, Pattern Recognition, and SM.
* DL, ML, and SM based hands-on with problem involving Classification, Clustering, Information Retrieval, Anomaly Detection, Fraud Detection
* Understanding of cloud-based APIs – like Amazon SageMaker, Azure ML APIs, GCP TesnorFlow.
* Experience in building DL based fast and scalable AI systems with little trading off in accuracy.
* Hands-on experience in problem dependent data pre-processing.
* Working knowledge about transfer learning
* Experience in building efficient AI system with smaller datasets.
* Must have experience in creating and hosting scalable Restful APIs using R / Python.
* Understanding of the appropriate evaluation metrics for AI problems.
* Experience in CUDA based Deep Learning is highly desirable.
* Experience in distributes data processing using Spark – especially Spark with MLlib.
* Building high-impact proofs-of-concept to explore problem areas, then working with dev teams to turn them into scalable solution.
* Deeper understanding of Data Structure and Algorithms
* Should be able to read academic papers, follow the math, understand the connotations, and communicate technically with experts.
* A broad background in modern technologies and how they’re used in production.
Source link
