Machine Learning Senior Engineer - ZS

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 
• Lead the development, fine-tuning, and deployment of Large Language Models, ensuring they are optimized for specific tasks, such as text generation, summarization, translation, and conversational AI.
• work with various Generative AI platforms (e.g., OpenAI, Hugging Face Anthropic) to integrate LLMs into existing applications, ensuring seamless functionality and user experience. 
• Conduct thorough evaluations of LLMs using benchmarks and real-world data. Experiment with different model architectures and training techniques to improve performance and relevance. 
• 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 
• Demonstrated experience in developing, fine-tuning, and deploying Large Language Models (e.g., GPT, BERT, T5) and familiarity with transformer-based architectures.
• Hands-on experience with Generative AI platforms such as OpenAI, Hugging Face, or similar, and proficiency in utilizing their APIs and SDKs.
• Experience in handling large datasets, including preprocessing, augmentation, and management of text-based data for training LLMs. 
• 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 in global healthcare and beyond.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. 

ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. 

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