PricewaterhouseCoopers (PWC) Hiring for Machine Learning Engineer Manager at Bangalore, India Full Time

Job Description

DescriptionLine of Servicer Advisoryr Industry/Sectorr Not Applicabler Specialismr Technology Strategyr Management Levelr Managerr & Summaryr A career in our Advisory Acceleration Centre is the natural extension of PwC s leading class global delivery capabilities. We provide premium, cost effective, high quality services that support process quality and delivery capability in support for client engagements.r To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.As a Manager, you’ll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:

• Develop new skills outside of comfort zone.
• Act to resolve issues which prevent the team working effectively.
• Coach others, recognise their strengths, and encourage them to take ownership of their personal development.
• Analyse complex ideas or proposals and build a range of meaningful recommendations.
• Use multiple sources of information including broader stakeholder views to develop solutions and recommendations.
• Address sub-standard work or work that does not meet firm’s/client’s expectations.
• Use data and insights to inform conclusions and support decision-making.
• Develop a point of view on key global trends, and how they impact clients.
• Manage a variety of viewpoints to build consensus and create positive outcomes for all parties.
• Simplify complex messages, highlighting and summarising key points.
• Uphold the firm’s code of ethics and business conduct.

Machine Learning Engineer – ManagerPwC LabsPwC Labs is focused on standardizing, automating, delivering tools and processes and exploring emerging technologies that drive efficiency and enable our people to reimagine the possible. Process improvement, transformation, effective use of innovative technology and data & analytics, and leveraging alternative delivery solutions are key areas of focus to drive additional value for our firm. If as a professional you are looking to put your skills to work in a product-based, fast paced, entrepreneurial, and inclusive environment, PwC Labs is the team for you.A career in our PwC Labs, will provide you with a unique opportunity to build transformative products and innovate mechanisms that bring new insights to our business and customers that can help identify business gaps, solve problems, and build new business opportunities.Day to day responsibility: As a ML Engineer, you will be responsible for the below activities:

• The ML Engineer works closely with the development teams to manage, design, develop and deploy multiple AI applications across our working environment.
• Daily the team utilizes the latest technologies to assure ease of AI asset deployment and reusability across the various teams. To do this job successfully, you need exceptional skills in both data science and software engineering.

Skills and ExperienceDemonstrates thorough abilities and/or a proven record of success as a team leader including:

• Ideally 10 to 13 years of relevant experience.
• Bachelor s Degree in Computer Science, Engineering or other technical discipline (BE, BTech, MCA).
• Managing business development such as client relationship management and leading and contributing to client proposals.
• Delivering and tracking successfully large-scale projects, including ownership of architecture solutions and managing change.
• Leading, training and working with other data scientists in designing effective analytical approaches taking into consideration performance and scalability to large datasets.
• Developing and architecting solutions in at least 1-2 known machine learning frameworks and tools such as TensorFlow, Spark ML, Kubeflow.
• Working comfortably in multiple frameworks that can achieve high throughput and low latency of data, such as: Kafka, NiFi, HDFS.
• Orchestrating microservice solutions in container-based infrastructures, such as Kubernetes.
• Utilizing workflow management tools such as AirFlow, Argo to orchestrate both AI & Data pipelines.
• Creating CI/CD toolchains centered around tools such as Jenkins, Spinnaker, Teamcity, Azure DevOps.
• Adhering to agile software development practices.
• Working within cloud infrastructure and container-based infrastructures including containerization of Data Science tools such as JupyterHub, RStudio, TensorFlow, and PyTorch.
• Development, Deployment and Monitoring of models in deep learning frameworks such as Tensorflow, PyTorch, and CUDA.
• Developing and deploying in RAPIDS GPU accelerated pipelines.
• Adhering to lean IT principles and data driven approaches.
• Automating repetitive development, operations and deployment tasks as it relates to machine learning.

Other Skills

• Performing as a lead to generate a vision, establish direction, motivate members, create an atmosphere of trust, leverage diverse views, and encouraging improvement and innovation.
• Documenting systems, refining requirements, self-identify solutions and communicate to the team.
• Demonstrating a desire to keep learning, maintain own skill set, stay up to date and expand one s knowledge across the full stack.
• Demonstrating a desire to improve the status quo , especially automating and improving software development and operations processes to achieve massively higher delivery velocity and operations quality.
• Contributing to thought leadership through participation in the development of technology processes.
• Applying continuous independent judgement while collaborating with others and influencing others within the project and domain teams.
• Building and leveraging relationships as well as specialist level verbal and written communication skills.

Certification(s) Preferred:
PMI Certified, Agile Certified Scrum Master, Azure Fundamentals, Certified Associate in Python Programming, Certified Kubernetes Administrator, Sun Certified Java Programmer, Data Engineer AssociateEducation (if blank, degree and/or field of study not specified)r Degrees/Field of Study required: Degrees/Field of Study preferred: Bachelor of Engineeringr Certifications (if blank, certifications not specified)Desired Languages (If blank, desired languages not specified)Travel RequirementsAvailable for Work Visa Sponsorship Government Clearance Required Job Posting End Dater September 17, 2020r ,

Skills Required