Lead Machine Learning Engineer
Slalom, LLC

Chicago, Illinois

This job has expired.

Who You'll Work With

Slalom Emerge is a team of trailblazers helping ensure we achieve our strategic goals of investing for the future and pursuing innovation as a competitive advantage. We empower our local markets by identifying emerging capabilities, building multi-disciplinary teams, and providing access to niche and hyper-specialized expertise. We help people and organizations dream bigger, move faster, and build better tomorrows for all. From detecting cancer to mitigating bias, improving supply chains, and building intelligent products... we see AI creating those better tomorrows for people, organizations, communities, and the world. Slalom Emerge is building a team of inspired and talented experts who share our vision for AI and shape its adoption in the world. You want to belong in a company where every employee does more work they love and we are recognized by our customers, partners, and analysts as the most visionary provider in the market.

Emerge is seeking Lead Machine Learning Engineers to join the Global AI Team. You will help evangelize and deliver cutting-edge AI solutions for our most important customers working with and across market teams. You have hands-on expertise with leading technologies for building applications powered by machine learning, deep learning, computer vision, or natural language processing. You realize code and data is just the start... you've not only built AI applications but operated them in production environments with real usage. You've told the stories about how use cases connect to the business outcomes and worked with stakeholders to support adoption. You blend expertise with empathy, teamwork, and mentoring to build lasting relationships resulting in customer success and growth. The team is globally distributed but the role may include 50% travel to customers and markets (once travel can resume safely).

What You'll Do

• Provide technical leadership for customers and markets ranging from architecture to hands-on model development with a variety of technologies and techniques

• Design, build, and test production-grade code that performs optimally at scale

• Help customers adopt and benefit from new AI technologies and processes (e.g. Cloud, ML Ops)

• Work in cross-functional teams including strategy, industry, technology, organizational effectiveness, and partners to deliver holistic solutions that result in customer outcomes

• Identify and improve plans to help customers adopt and gain value from AI

• Provide tutorials and trainings for customers and markets (including hands on labs, hackathons, etc)

• Be involved and contribute to the AI community at the firm and beyond

• Continuously learn and evangelize innovation

What You'll Bring

• Hands-on and technical experience with relevant technologies, languages, frameworks (e.g. Apache Spark, Python, Scikit-learn, Pandas, PyTorch)

• Experience of design and implementation experience in data platforms including Spark, Hadoop, MPP data warehouses

• 5+ years experience working across:

o Software Engineer/Data Engineer: performance tuning, troubleshooting, and debugging

o Data Scientist/ML Engineer: feature engineering, model selection, model lifecycle, hyperparameter tuning, model serving, deep learning, etc.

• Experience across ML lifecycle including model evaluation, experiment tracking, model serving and productionizing ML pipelines (e.g. MLflow, Weights & Biases)

• Experience designing solutions on cloud infrastructure, services, and APIs such as AWS (SageMaker), Azure (ML), Google Cloud (Vertex), Databricks, Snowflake

• Experience preferred with development tools for CI/CD (e.g. Jenkins), Unit and Integration Testing, Workflow Automation and Orchestration (e.g. Airflow), Model Serving

• Experience preferred with data cleaning and preparation including labeling (e.g. Ground Truth, LabelBox, Scale.AI) and feature stores (e.g. Feast)

• Ability to communicate with clients on a business level, translate their needs into a technical solution, and explain to non-technical people

• Experience in consulting, sales engineering, and/or customer success

About Us

Slalom is a modern consulting firm focused on strategy, technology, and business transformation. In 40 markets around the world, Slalom'steams have autonomy to move fast and do what's right. They are backed byregional innovation hubs, a global culture of collaboration, and partnerships with the world's top technology providers. Founded in 2001 and headquartered in Seattle, Slalom has organically grown to over 9,000 employees. Slalom has been named one of Fortune's 100 Best Companies to Work For five years running and is regularly recognized byemployees as a best place to work. Learn more at slalom.com.

Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include: meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer additional benefits such as a yearly $350 reimbursement account for any well-being related expenses as well as discounted home, auto, and pet insurance.

Slalom is an equal opportunity employer that is committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veterans status, or any other characteristic protected by federal, state, or local laws, and will not be discriminated against on the basis of disability.

This job has expired.

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