In today's world, customers expect companies to know who they are and what they want. Customers want to have products, services or experiences that best suit their needs delivered to them seamlessly across physical and digital channels. Customers are human first: driven by dynamic wants, needs, and desires. The ability for brands to make personal, meaningful connections on a human level has never been greater and the Experience Management team at Deloitte Digital delivers on those experiences in a way that allows companies to own the customer journey end-to-end.
We help companies connect key data sources to understand what matters most to people; connect to advanced technologies like ML and machine learning to sense and respond to those needs at scale; and connect their systems to unlock insights, create collaboration and drive acquisition, engagement and loyalty. Most importantly, we empower companies to connect with customers in personal, meaningful ways that respect them as people, not just customers.
The Experience Management team at Deloitte Digital gives companies the ability to build and leverage the connections - between people, systems, data and technologies - so they can deliver personalized, contextual experiences to customers at scale. We are seeking to transform the way brands interact with their customers and elevate the human experience.
Come join a team of passionate, talented "pure" data scientists and hybrid ML engineers who collaborate to design, build and maintain cutting-edge ML solutions that arm our clients with real-time customer insights delivering tremendous value. If you ' re intellectually curious, hardworking and solution-oriented, you ' ll fit right into our fast-paced, collaborative environment.
Work you ' ll do
As an ML Engineer, you ' ll support the development and deployment of transformational ML capabilities for large clients. You ' ll combine leading open source tooling and techniques with a suite of customer experience libraries and solutions, which automate the management of cross-channel communications with consumers for large clients. We make heavy use of the Python machine learning ecosystem, and build systems to deliver massive decisioning throughput, with tight latency constraints on our real-time systems. If you have deep experience in designing, implementing, automating and deploying machine learning pipelines and workflows, we want to hear from you!
Your responsibilities will include:
Participate in all phases of the model development lifecycle
Solution productionalized machine learning to drastically reduce total cost per decision, moving expensive human-driven decisions to drastically cheaper and more effective machine-driven ones
Help design and implement functional requirements for client engagements
Collaborate with our services data scientists to deploy and use libraries and APIs which make machine learning for customer use cases both easy and powerful, and help brands gain deep understandings of their consumers
Prepare technical documentation
Integrate with surrounding technology components and services
Coach junior team members
Successful skillsets for this role are:
Deep interest in data science and software development
Eager to work with data scientists, fellow engineers and product owners
Experienced with collaborative techniques like pair-programming and white board design sessions
Continuously learning and improving, and constantly exploring new languages, tools, and techniques
Advertising, Marketing & Commerce
Our Advertising, Marketing & Commerce team focuses on delivering marketing and growth objectives aligned with our clients' brand values for measurable business growth. We do this by creating content, communications, and experiences that engage and inspire their customers to act. We implement and operate the technology platforms that enable personalized content, commerce and marketing user-centric experiences. In doing so, we transform our clients' marketing and engagement operations into modern, data-driven, creatively focused organizations. Our team brings deep experience in creative and digital marketing capabilities, many from our Digital Studios.
We serve our clients through the following types of work:
Cross-channel customer engagement strategy, design and development (web, mobile, social, physical)
eCommerce strategy, implementation and operations
Marketing Content and digital asset management solutions
Marketing Technology and Advertising Technology solutions
Marketing analytics implementation and operations
Advertising campaign ideation, development and execution
Acquisition and engagement campaign ideation, development and execution
Agile based, design-thinking, user-centric, empirical projects that accelerate results
3+ years of experience authoring, supporting or providing a data science platform to data scientists:
Deep knowledge in the machine learning lifecycle, and in ways to facilitate collaboration and productivity in each of its phases.
Exposure to a number of data scientists and expertise in finding solutions to workflow problems.
Knowledge of common machine learning frameworks and libraries and in ways to productionalize their inputs and outputs
Comfort with various machine learning techniques and their practical implementation, particularly reinforcement learning
Experience with one or more common workflow / pipelining frameworks (Kubeflow, MLFlow, Argo or equivalents)
Strong knowledge of the Python ecosystem, the Jupyter ecosystem (Lab, Notebook, Binder) and their libraries, norms and tooling
Exposure to AutoML tooling (H2O, DataRobot or equivalents)
Experience in deploying and maintaining enterprise-scale machine learning applications in production
2+ years of experience writing well-tested production software
1+ years of experience on distributed, high throughput and low latency architecture.
1+ years of experience building software on top of major container technology (Kubernetes, docker, or similar).
Strong testing mindset with experience writing tests at various levels of granularity
Familiarity with Continuous Integration tools (GitHub actions, Travis-CI, etc.)
A history of good collaboration with DevOps and Project Managers on meeting project goals.
Proven track record working with products from major cloud providers (AWS, GCP, Azure, etc.)
Limited immigration sponsorship may be available.
Experience with large consumer data sets used in performance marketing is a major advantage
Exposure and/or expertise writing and/or running Terraform or other infrastructure-as-code automation
Well-versed in (or contributes to) data-centric open source projects
Experience in performance analysis and optimization of machine learning applications, e.g. in optimizing code written by others
Presence or contributions to projects within the wider open source ecosystem
Proven ability to communicate both verbally and in writing within a high performance, collaborative environment.
Exposure to commonly used relational and non-relational databases
At Deloitte, our professional development plan focuses on helping people at every level of their career to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to help sharpen skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs at Deloitte University, our professionals have a variety of opportunities to continue to grow throughout their career. At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits.Our positive and supportive culture encourages our people to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware. We offer well-being programs and are continuously looking for new ways to maintain a culture where our people excel and lead healthy, happy lives. Deloitte is led by a purpose: to make an impact that matters. This purpose... defines who we are and extends to relationships with our clients, our people and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. We want job seekers exploring opportunities at Deloitte to feel prepared and confident. To help you with your interview, we suggest that you do your research: know some background about the organization and the business area you’re applying to.