Machine Learning Engineer

Posted 13 Days Ago
Boston, MA
Hybrid
123K-157K Annually
Junior
Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
Where passion changes lives
The Role
As a Machine Learning Engineer, you will design, implement, and monitor machine learning pipelines, enhancing ML engineering platforms and applying ML Ops principles. Your responsibilities include writing production-grade code, collaborating with teams, and keeping updated on architecture patterns while deploying ML models into cloud services and ensuring high-quality deliverables.
Summary Generated by Built In

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it , our most valuable asset is our people. Here you'll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage an d passion to drive life-changing impact to ZS.
Our most valuable asset is our people .
At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems-the ones that comprise us as individuals, shape who we are and
make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about.
Machine Learning Engineer
AI Practice
ZS AI Practice is building transformative AI-enabled data products and solutions. ZS suite of products and solutions include hyper-personalization, Customer journey design, AI guided selling, large-scale unstructured customer data mining with NLP and dynamic pricing. Our products and client focused solutions use state of the art ML and Deep Learning techniques and ML Engineering Platforms.
What You'll Do

  • Build , orchestrate, and monitor model pipelines including feature engineering, inferencing and continuous model training
  • Scaling machine learning algorithms to work on massive data sets and strict SLAs
  • Build & Enhance ML Engineering platforms and components
  • Implement ML Ops including model KPI measurements, tracking, data and model drift & model feedback loop
  • Write production-ready code that is easily testable, understood by other developers and accounts for edge cases and errors
  • Ensure highest quality of deliverables by following architecture/design guidelines, coding best practices, periodic design/code reviews
  • Collaborate with client teams and global development team to successfully deliver projects
  • Uses bug tracking, code review, version control and other tools to organize and deliver work
  • Participate in scrum calls, and effectively communicate work progress, issues and dependencies
  • Consistently contribute to researching & evaluating latest architecture patterns/technologies through rapid learning, conducting proof-of- concepts and creating prototype solutions.


What You'll Bring

  • Bachelor's/ Master's degree with specialization in Computer Science, MIS, IT or another computer related discipline
  • 2-4 years' experience in deploying and productionizing ML models
  • Strong programming expertise in Python / PySpark
  • Experience in ML platforms like Dataiku, Sagemaker , MLFlow or other platforms
  • Experience in deploying models to cloud services like AWS, Azure, GCP
  • Expertise in crafting ML Models for high performance and scalability
  • Experience in implementing feature engineering, inferencing pipelines and real time model predictions
  • Experience in ML Ops to measure and track model performance
  • Good fundamentals of machine learning and deep learning
  • Knowledgeable of core Computer Science concepts such as common data structures , algorithms , and design patterns
  • Excellent oral and written communication skills


Additional Skills

  • Experience with Spark or other distributed computing frameworks
  • Understanding of DevOps, CI / CD, data security, experience in designing on cloud platform
  • Experience in data engineering in Big Data systems


Perks & Benefits:
ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member.
We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.
Considering applying?
At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above.
To Complete Your Application:
Candidates must possess work authorization for their intended country of employment.
An on-line application, including a full set of transcripts (official or unofficial), is required
to be considered.
NO AGENCY CALLS, PLEASE.
Find Out More At:
www.zs.com
Salary: $150,000.00 - $195,000.00

Top Skills

Pyspark
Python

What the Team is Saying

Ash Easwar
Suzanne Boyan
Kristina Sambucci
Callum Brazier
Michelle Lu
Mike Vula
Mina Labib
Judith Kulich
Anna Simon
Rachana Late
The Company
Boston, MA
13,000 Employees
Hybrid Workplace
Year Founded: 1983

What We Do

ZS is a management consulting and technology firm focused on transforming global healthcare and beyond. We leverage our leading-edge analytics, plus the power of data, science and products, to help our clients make more intelligent decisions, deliver innovative solutions and improve outcomes for all. Founded in 1983, ZS is thrilled to celebrate our 40th anniversary this year with more than 13,000 employees in 35 offices worldwide.

Why Work With Us

ZS is where ambitions are welcomed. Where you have the freedom to define your own path and pursue whatever lights a fire in your soul. We’re for those whose spirit leads them to move, to act and drive real change. Work side by side with diverse yet like-minded people who share a collective vision driven to change the path of healthcare and beyond.

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ZS Teams

Team
Transforming Global Healthcare and Beyond
About our Teams

ZS Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

The Flexible & Connected model is our ZS standard. ZSers decide where it makes the most sense for them to work each day given client or teamwork.

Typical time on-site: 3 days a week
Boston, MA

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