Role : AI/ML Expert Purpose & Primary Objectives Ability to dive deep into problem areas of Machine Learning and look for innovative technology solutions to not only advance the current state of solution, but also to generate new options that can provide significant strategic advantage. Minimum 5 years of experience in developing and deploying Machine Learning, Deep Learning, NLP solutions. Key Responsibilities Understand business process/ business problems and device Machine Learning solutions to optimize business processes wherever possible. Formulating machine learning solutions to business metrics, designing features from the data available from many large data sources, training, evaluating, and deploying models in production Developing high-performance algorithms for precision targeting, testing, and implementing these algorithms in scalable, production-ready code Interacting with other teams to define interfaces and understanding and resolving dependencies. Developing coding in high-level languages such as R, Python, Java Architect ML solutions in cloud infrastructure Lead team of Junior ML engineers and Data Scientists for PoC and AI/ML solution prototypes Technical Skills Bachelor's or higher computational science with an emphasis in Machine Learning Minimum 5 years of experience of writing production quality code. Experience with traditional as well as modern statistical techniques, including Regression, Support Vector Machines, Regularization, Boosting, Random Forests, and other Ensemble Methods Experience with end-to-end modelling projects emerging from research efforts. Experience in creating large data feature stores for Machine learning in Teradata or similar databases. Adequate presentation and communication skills to explain results and methodologies to non-technical stakeholders. Experience with data visualization tools, such as D3.js, GGplot, etc. Your GitHub/Kaggle profile showing a project or problems you've tackled. Other Skills (Preferred) Experience with deploying ML models in production. Developer / Architect Certification in AWS or Azure Implementation experience with high-level languages, such as R, Python, Perl, Ruby, Scala, or similar scripting languages. Strong hands-on skills in sourcing, cleaning, manipulating, and analysing large volumes of data. Architecture and programing knowledge of data processing on big data environments (e.g. Spark/Hive/Pig). Skills: ml,artificial intelligence,machine learning,data,algorithms,
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Employement Type: Full timeIndustry: IT Services & ConsultingRole Category: Not SpecifiedFunctional Area: Not SpecifiedRole/Responsibilies: Ai/ml Expert Job In Risk Resources Llc At
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Company: Risk Resources LLCLocation(s): Other Haryana