Architecture & Engineering Specialist/Lead - ML Engineering ZS 3.32184 Reviews

Job description

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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

Architecture Engineering Specialist ML Engineering

ZS s India Capability Expertise Center (CEC) houses more than 60% of ZS people across three offices in New Delhi, Pune and Bengaluru. Our teams work with colleagues across North America, Europe and East Asia to create and deliver real world solutions to the clients who drive our business. The CEC maintains standards of analytical, operational and technological excellence across our capability groups. Together, our collective knowledge enables each ZS team to deliver superior results to our clients.

ZSs Scaled AI practice is part of ZSs rich and advanced AI ecosystem, in the Architecture Engineering Expertise Center, focused on creating continuous business value for clients using a range of innovative machine learning, deep learning, and engineering capabilities.

Being part of Scaled AI practice allows you to collaborate with data scientists to create state-of-the-art AI models, create and use cutting-edge ML platforms, create and deploy advanced ML pipelines and manage the complete ML lifecycle.

What You ll Do

• Work on ZS AI Products or client AI solutions using ML Engineering Data Science Tech stack
• Work on creating GenAI applications such as answering engines, extraction components, and content authoring
• Provides technical expertise including the evaluation of different products in ML Tech stack
• Collaborate with data scientists to create state-of-the-art AI models
• Design and build ML Engineering platforms and components
• Design and build advanced ML pipelines for Feature engineering, inferencing and continuous model training
• Design and build ML Ops framework and components for model visibility and tracking
• Manage the complete ML lifecycle
• Leads team to achieve established goals, such as delivering new features or functionality
• Mentor and groom technical talent within the team
• Review individual work plans before implementation to identify potential issue areas and/or reduce rework
• Performs design / code reviews of the team to identify issues/risks and ensure robustness
• Drive estimation of technical components and tracks teams progress
• Handle client interactions as and when required
• Recommend designs that are scalable, testable, debuggable, robust, maintainable and usable
• Maintain a culture of rapid learning and explorations to drive innovations / POCs on niche technologies and architecture patterns;
• Systematically debug code issues using stack traces, logs, monitoring tools and other resources

What You ll Bring

• 4-8 years experience in deploying and productionizing ML models at scale
• Strong knowledge in developing RAG-based pipelines using frameworks like LangChain LlamaIndex
• Good understanding of various LLMs like Azure OpenAI and proficiency in their effective utilization
• Solid working knowledge of the engineering components essential in a Gen AI application, including Vector DB, caching layer, chunking, and embedding
• Experience in scaling GenAI or similar applications to accommodate a high number of users, large data size, and reduce response time.
• Expertise in Designing, configuring and using ML Engineering platform like Sagemaker, Azure ML, MLFlow, Kubeflow or other platforms
• Experience in Building ML pipelines, Troubleshooting ML models for high performance and scalability
• Experience with Spark or other distributed computing frameworks
• Strong programming expertise in Python, Scala or Java
• Experience in deployment to cloud services like AWS, Azure, GCP
• Strong fundamentals of machine learning and deep learning
• Up to date with recent developments in Machine learning and are familiar with current trends in the wider ML community
• Knowledgeable of core CS concepts such as common data structures and algorithms
• Excellent technical presentation skills (documentation, presentations, discussions)
• Good communicator with clear and concise, active listening and empathy skills.
• Collaborate well with teams with different backgrounds / expertise / functions

Additional Skills:

• Understanding DevOps CI / CD, data security, experience in designing on cloud platform;
• Willingness to travel to other global offices as needed to work with the client or other internal project teams

Perks Benefits:

Considering applying

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.

Role: Technical Architect

Industry Type: Management Consulting

Department: Engineering - Software & QA

Employment Type: Full Time, Permanent

Role Category: Software Development

Education

UG: Any Graduate

PG: Any Postgraduate

Key Skills

deep learningArchitecturedata securityAnalyticalFinancial planningMachine learningCloudData structuresTroubleshootingPython