Data Science – Rezilyens LLC https://www.rezilyens.com Rezilyens LLC Tue, 06 Oct 2020 11:15:34 +0000 en-US hourly 1 https://wordpress.org/?v=5.8.9 https://www.rezilyens.com/wp-content/uploads/2020/06/cropped-favicon-1-32x32.png Data Science – Rezilyens LLC https://www.rezilyens.com 32 32 Artificial Intelligence Architect https://www.rezilyens.com/current_openings/artificial-intelligence-architect/ Tue, 06 Oct 2020 11:15:09 +0000 https://www.rezilyens.com/?post_type=current_openings&p=400 The role You will lead a team of developers and be their single point of contact for technical clarification and impediment resolution. Participate in sessions with client/business partners to obtain inputs and provide recommendations and coordinate with client teams in complex international projects. Furthermore you are expected to analyze the requirements for new front- and back-end integrations, analyze capabilities of existing IT infrastructures and design integrations, create and maintain the master architecture representation and create a modular and scalable solution.

Your responsibilities

  • Architect, Position, Design, Develop and Deploy enterprise solutions which include components across the Artificial Intelligence spectrum such as Chatbots, Virtual Assistants, Machine Learning, and Cognitive Services (e.g. Vision/Image, Textual/Language processing).
  • Manage teams in the identification of business requirements, functional design, process design (including scenario design, flow mapping), prototyping, testing, training, defining support procedures.
  • Formulate planning, budgeting, forecasting, and reporting strategies.
  • Manage full life cycle implementations.
  • Develop statements of work and/or client proposals.
  • Identify business opportunities to increase usability and profitability of information architecture.
  • Experience with program leadership, governance and change enablement.
  • Develop and manage vendor relationships.
  • Lead workshops for client education.
  • Manage resources and budget on client projects.
  • Assist and drive the team by providing oversight.

The must-have skill sets

  • 6+ years of relevant Analytics consulting or industry experience
  • At least 2 years experience working with SparkCognition, Expert System, Microsoft Cognitive Services, IBM Watson, Numenta, Deepmind, CognitiveScale, CustomerMatrix, IPSoft, Pega, Salesforce Einstein, Google Cloud Platform/Tensor Flow, or Amazon Web Services/Sagemaker, and common open-source scripting languages
  • At least 6 months experience working with Amazon Lex or IPSoft Amelia
  • At least 2 years of experience in Natural Language Processing (NLP), Linguistics, Advanced Semantic Design
  • Demonstrated expertise with at least 3 full life cycle analytics engagement across strategy, design, and implementation.
  • Bachelor’s Degree in Engineering, Mathematics, Empirical Statistics or 4 years equivalent professional experience

Qualification (Not Mandatory)

  • Experience designing and implementing Apache Open Source (Kafka, Storm, Spark) Frameworks to process end to end data management life cycle for NLP, Machine Log Algorithms, Text Mining algorithms.
  • Ability to work independently and manage multiple task assignments.
  • Strong oral and written communication skills, including presentation skills (MS Visio, MS PowerPoint).
  • Strong problem solving and troubleshooting skills with the ability to exercise mature judgment.

Equal employment opportunity

Rezilyens is an equal opportunity employer and is dedicated to fostering an inclusive and diverse environment for employees from all walks of life. We hire based on talent and we’re proud of our global perspective.]]> Machine Learning Architect https://www.rezilyens.com/current_openings/machine-learning-architect/ Tue, 06 Oct 2020 11:05:00 +0000 https://www.rezilyens.com/?post_type=current_openings&p=399 The role The ML Solutions Architect may also provide technical recommendations and contribute to strategic decisions for solutions that do not fall under their purview. The SA will manage applications hosted in multiple technologies and languages such as AWS Sagemeker, H20, Python, Pandas, R and Jupyter Notebooks and should have related relevant experience.

Your responsibilities

  • Work with stakeholders to define requirements constraints, and goals
  • Stay current on changes within the industry and communicate any alignment with bank initiatives with interested parties
  • Understand and adopt all relevant policies, standards and procedures
  • Make technical presentations to technical and non-technical stakeholders
  • Develop and maintain disaster recovery plans and documentation
  • Serve as AI/ML evangelist to inform and consult organization on related issues
  • Establish standards, procedures, guidelines, and best practices related to AI/ML
  • Lead discussions about short term tactical fixes vs. long term strategic goals
  • Prepare budget proposals and operational expenditure statements, Design, develop, communicate, and lead deployment of ML platforms and application
  • Recommend, schedule, and perform software improvements and upgrades
  • Forecast and manage SDLC using agile methodologies and tooling

The must-have skill sets

  • Minimum 5 years’ experience with financial concepts such as advances, securities and derivatives and with with general programming languages
  • Experience building and maintaining big data and big compute environments
  • Extensive experience with statistical programming languages/frameworks
  • Experience with machine learning libraries and frameworks
  • Experience with message busses, databases, data lakes, and data meshes
  • Strong analytical and statistical skills
  • Extensive experience building applications in a cloud environment
  • Extensive engineering experience working on Linux and Windows servers
  • Extensive experience writing financial models or financial software
  • Extensive experience writing, calibrating, and testing financial models
  • Strong understanding of machine learning techniques (supervised, unsupervised, etc)
  • Linux and Windows systems administration
  • Extensive experience working within an agile/SCRUM environment
  • Experience with strong development practices such as test driven development
  • An ability to adopt new ways of working and embrace new technologies and technique

Equal employment opportunity

Rezilyens is an equal opportunity employer and is dedicated to fostering an inclusive and diverse environment for employees from all walks of life. We hire based on talent and we’re proud of our global perspective.]]>