Senior Machine Learning Engineer

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 and 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.
ML Engineer
As a ML Engineer, we're seeking a talented Python AI/ML Engineer with expertise in deploying ML models to handle production scale workloads, to join our AI driven product team. ML engineer is responsible for building/managing API's for AI algorithms, introducing AI based innovations.
What You'll Do:

• Design, develop, and maintain scalable and efficient backend services for ML model deployment and inference using FastAPI for our AI driven product.
• Implement various ML algorithms at scale e.g. time series forecasting, XGBoost, deep learning, NLP, etc. using GPUs clusters or Spark or Databricks or AWS Sagemaker or equivalent tools
• Coordinating with development teams and data scientists to determine application requirements and integration points.
• Understanding of fundamental design principles behind a scalable application and writing scalable code
• Implement security best practices to safeguard sensitive data and ensure compliance with privacy regulations
• Own and manage all phases of the software development lifecycle planning, design, implementation, deployment, and support.
• Build reusable, high-quality code and libraries for future use which are high performant and can be used across multiple projects.
• Work closely with data engineers and data scientists to integrate ML models into the production environment

What You'll Bring:

• Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent work experience).
• At least 3+ years of relevant experience as an ML Backend Engineer
• Practical experience in applying AI/ML driven technology solutions. Experience in Generative AI with a strong understanding of deep learning techniques such as GPT, VAE, and GANs is preferred.
• Experience in Fast API for API development, SQL/NoSQL databases and linux o.s.
• Up to date with LLM research and developing new features/products using LLMs (e.g. using PaLM 2 or Llama 2)
• Good experience with ML algorithms, Python, NLP, prior experience with backend design and web sockets
• Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice pattern
• Experience with Cloud based AI/ML services such as AWS, GCP or Azure.
• Understanding of ML/AI Pipeline & Development life cycle & tools, MLOps experience
• Good knowledge of software engineering practices like version control (GIT), DevOps (Azure DevOps preferred) and Agile or Scrum.
• Strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.
• Fluency in English

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
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