14,142 AI & Emerging Technologies jobs in India

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start **Caring. Connecting. Growing together.**
**Primary Responsibilities:**
+ Reviewing application requirements and interface designs
+ Identifying web-based user interactions
+ Developing and implementing highly responsive user interface components using react concepts
+ Writing application interface codes using Typescript following react.js workflows
+ Troubleshooting interface software and debugging application codes
+ Developing and implementing front-end architecture to support user interface concepts
+ Monitoring and improving front-end performance
+ Documenting application changes and developing updates
+ Use GitHub copilot, M365, PR Code Review and other AI Toolset on a daily basis
+ Support the QA team during testing via defect fixes, code deployment, clarifications
+ Adhere to proper use of source control
+ Responsible for ensuring delivery of technical artifacts for each project
+ Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
**Required Qualifications:**
+ Standard education with a bachelors degree
+ 5+ experience working as a react.js developer and Java springboot
+ Experience working with Material UI
+ Experience with user interface design
+ Experience with browser-based debugging and performance testing software
+ In-depth knowledge of Typescript/JavaScript, CSS, HTML, and front-end languages
+ Knowledge of REACT tools including React.js, Webpack, Enzyme, Redux Saga and Flux
+ Knowledge of AI Tools, Github Copilot, M365, PR Code Review, Stroy Craft etc.
+ Knowledge of performance testing frameworks including
+ Proven excellent troubleshooting skills
**Preferred Qualification:**
+ Experience with Jest
_At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission._
#Gen

**Work Schedule**
Standard Office Hours (40/wk)
**Environmental Conditions**
Office
**Job Description**
**About:**
Thermo Fisher Scientific Inc. is the world leader in serving science, with annual revenue exceeding $40 billion. Our Mission is to enable our customers to make the world healthier, cleaner and safer. Whether our customers are accelerating life sciences research, solving sophisticated analytical challenges, improving patient diagnostics and therapies or growing efficiency in their laboratories, we are here to support them. Our distributed team of more than 100,000 colleagues delivers an outstanding combination of innovative technologies, purchasing convenience and pharmaceutical services through our industry-leading brands, including Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon and PPD.
We are seeking a talented and motivated developer to join our team and utilize Generative AI capabilities in software development. As a Generative AI Developer, you will be responsible for designing, implementing, and maintaining software solutions that leverage innovative Generative AI algorithms and techniques to solve sophisticated problems.
**Responsibilities:**
+ Perform **data analysis, exploration, and preparation** to support business use cases.
+ Design and develop **data pipelines** in Python/Databricks and work with cloud data platforms.
+ Apply **Generative AI techniques** to build prototypes, create insights, and enhance solutions.
+ Collaborate with cross-functional teams to understand requirements and translate them into data-driven/AI-driven outcomes.
+ Conduct **unit testing, validation, and data quality checks** for datasets, pipelines, and AI outputs.
+ Design and develop RESTful APIs to enable communication between different software components.
+ Follow **agile and DevOps practices** for continuous development, testing, and deployment.
+ Contribute to **data governance, documentation, and best practices** for sustainable data and AI solutions.
**Requirements:**
+ Strong proficiency in **Python** , with focus on both data engineering (pandas, PySpark, Databricks) and AI (transformers, LLM frameworks).
+ Good understanding of **SQL** and ability to work with relational and non-relational data.
+ Familiarity with **cloud platforms (AWS, Azure, or GCP)** and data lake/warehouse concepts.
+ Exposure to **Generative AI tools and frameworks** (e.g.LangGraph, LangChain, OpenAI APIs).
+ Awareness of **prompt engineering, fine-tuning, embeddings, and LLM evaluation** .
+ Familiarity with **BI/visualization tools** (Power BI, Tableau, or similar).
+ Understanding of **modern practices** like DataOps, MLOps, and AI/GenAI Ops.
+ Strong analytical and problem-solving skills with ability to handle ambiguity.
+ Excellent written, verbal, and interpersonal communication skills.
+ Ability to work effectively with **global teams** across multiple regions and time zones.
+ Curiosity to learn and apply **emerging data engineering and Generative AI technologies** .
Apply today! Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status._
Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.

**We help the world run better**
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
We are looking for a strategic and customer-obsessed Senior Product Manager to partner with our Engineering Manager and their high-performing team to define, build, and scale AI and large language model (LLM) products that transform how enterprises leverage artificial intelligence. In this role, you will drive product strategy, champion user needs, and ensure we deliver market-leading solutions that create meaningful business value across SAP's global ecosystem.
**Description**
As the product leader for our fast-moving and innovative Application AI team, you will own the end-to-end product experience from strategy through execution. You'll work in lockstep with engineering leadership to translate market opportunities into technical requirements, prioritize feature development, and drive adoption of cutting-edge AI capabilities. We're seeking someone who thrives in ambiguous environments, can balance technical complexity with user simplicity, and has the vision to anticipate market needs in the rapidly evolving AI landscape.
**Key Responsibilities**
+ Partner closely with the Engineering Manager to align product roadmap with technical capabilities and constraints
+ Define product strategy and vision for AI/ML platform capabilities, APIs, and LLM-powered solutions
+ Conduct deep customer research and market analysis to identify high-impact product opportunities
+ Translate business requirements into detailed technical specifications for backend systems, APIs, and infrastructure
+ Drive cross-functional alignment between engineering, design, sales, marketing, and customer success teams
+ Own product metrics, KPIs, and success criteria, using data to inform product decisions and optimizations
+ Lead go-to-market strategy and enablement for new AI features and platform capabilities
+ Build strong relationships with key customers and stakeholders to gather feedback and validate product direction
+ Communicate product vision, progress, and impact to executive leadership and board-level stakeholders
**Minimum Qualifications**
+ Bachelor's degree in Engineering, Computer Science, Business, or related quantitative field; MBA or advanced degree preferred
+ 6 years of product management experience, with at least 2 years focused on AI/ML products, developer platforms, or enterprise infrastructure
+ Proven track record of launching and scaling successful B2B products in competitive, fast-moving markets
+ Deep technical understanding of AI/ML workflows, and LLM capabilities
+ Experience collaborating with engineering teams on complex technical products and API-first platforms
+ Strong analytical skills with proficiency in data analysis tools and methodologies
+ Excellent communication and leadership skills, with ability to influence without authority across global teams
+ Experience in enterprise software environments with understanding of enterprise sales cycles and customer needs
**Preferred Qualifications**
+ Experience with SAP technology and ecosystem
+ Experience building developer tools, API products, or AI/ML platforms used by technical audiences
+ Previous experience at high-growth technology companies or leading enterprise software vendors
**Why Join Us**
+ Drive product strategy for cutting-edge AI systems that impact millions of users globally
+ Partner with world-class engineering leaders to build transformative AI capabilities
+ Work in a high-trust, high-autonomy environment with direct access to executive leadership
+ Shape the future of enterprise AI by defining products that set industry standards
+ Lead cross-functional initiatives that directly influence SAP's AI strategy and competitive positioning
+ Join a mission-driven team focused on democratizing AI capabilities for enterprise customers
**Bring out your best**
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
**We win with inclusion**
SAP's culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone - regardless of background - feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team:
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program ( , according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.
Successful candidates might be required to undergo a background verification with an external vendor.
**AI Usage in the Recruitment Process**
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process ( .
Please note that any violation of these guidelines may result in disqualification from the hiring process.
Requisition ID: | Work Area: Solution and Product Management | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid

**Introduction**
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
**Your role and responsibilities**
An AI Data Scientist at IBM is not just a job title - it's a mindset. You'll leverage the watsonx,AWS Sagemaker,Azure Open AI platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients.
We are seeking an experienced and innovative AI Data Scientist to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges. Experience with tools like Github Copilot, Amazon Code Whisperer etc. is desirable.
Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive.
Day-to-Day Duties:
- Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations.
- Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC
- Documentation and Knowledge Sharing: Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members.
- Industry Trends and Innovation: Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation
**Required technical and professional expertise**
* Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus.
* Experience and working knowledge in COBOL & JAVA would be preferred
o Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus (e.g. Amazon Code Whisperer, Github Copilot etc.) * Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI.
* Growth mindset: Demonstrate a growth mindset to understand clients' business processes and challenges.
* Experience in python and pyspark will be added advantage
**Preferred technical and professional experience**
* Experience: Proven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms.
* Strong track record in scientific publications or open-source communities
* Experience in full AI project lifecycle, from research and prototyping to deployment in production environments
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

**Introduction**
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
**Your role and responsibilities**
An AI Data Scientist at IBM is not just a job title - it's a mindset. You'll leverage the watsonx,AWS Sagemaker,Azure Open AI platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients.
We are seeking an experienced and innovative AI Data Scientist to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges. Experience with tools like Github Copilot, Amazon Code Whisperer etc. is desirable.
Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive.
Day-to-Day Duties:
- Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations.
- Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC
- Documentation and Knowledge Sharing: Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members.
- Industry Trends and Innovation: Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation
**Required technical and professional expertise**
* Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus.
* Experience and working knowledge in COBOL & JAVA would be preferred
o Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus (e.g. Amazon Code Whisperer, Github Copilot etc.) * Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI.
* Growth mindset: Demonstrate a growth mindset to understand clients' business processes and challenges.
* Experience in python and pyspark will be added advantage
**Preferred technical and professional experience**
* Experience: Proven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms.
* Strong track record in scientific publications or open-source communities
* Experience in full AI project lifecycle, from research and prototyping to deployment in production environments
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

**Introduction**
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.
You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.
Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
**Your role and responsibilities**
Position: Data Scientist - Artificial Intelligence
Primary Industry: Financial Services (BFSI)
Business Unit of IBM: Hybrid Cloud and Data unit IBM Consulting for India & South Asia
Seniority of the role will be commensurate with skills and experience.
Minimum Educational Background: Bachelor of Computer Science or Maths. Other engineering or science disciplines can be considered if the candidate has demonstrated in-depth working knowledge of the subject area described below.
Location: Preferred location in Mumbai. Other locations that are possible are Bengaluru, Pune, Chennai or NCR. The role will involve up to 40% travel in India for client meetings or discussions.
This role is responsible for designing and developing full-stack AI-driven automation solutions in banking business analytics and digital banking workflows. Leverage LLMs, SLMs, MCP, and enterprise AI tools to build intelligent automation that enhance productivity, efficiency, and customer experience in banking operations. Role involves end-to-end development-data integration, model orchestration, workflow automation, and deployment-ensuring scalability, security, and compliance within financial environments.
**Required technical and professional expertise**
Skills & Qualifications
Soft Skills: Strong problem-solving, stakeholder communication, and ability to bridge business needs with AI solutions.
AI/ML Expertise: Hands-on experience of working with LLMs, SLMs, Multi-Agent/MCP frameworks, and AI workflow orchestration tools.
Full Stack Development: Proficiency in Python, Java/Node.js, REST APIs, web frameworks (React/Angular), and microservices.
Data & Cloud Platforms: Strong understanding of datalakehouse architectures, SQL/NoSQL databases, and deployment on AWS/Azure/GCP.
Automation & Integration: Skilled in building AI-driven automation pipelines, conversational/agentic AI integrations, and productivity tools.
DevOps & MLOps: Experience with CI/CD, containerization (Docker/Kubernetes), model deployment/monitoring, and AI governance best practices.
Security & Compliance: Understanding of data privacy, RBI/financial regulations, and secure AI system deployment.
Banking Domain Knowledge: Familiarity with digital banking workflows, business analytics, and compliance/regulatory requirements is desired.
**Preferred technical and professional experience**
Building advanced automation using Gen AI
Advanced knowledge in Maths for AI
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

**Introduction**
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
**Your role and responsibilities**
* Work with broader team to build, analyze and improve the AI solutions.
* You will also work with our software developers in consuming different enterprise applications.
**Required technical and professional expertise**
* Resource should have 5-7 years of experience. Sound knowledge of Python and should know how to use the ML related services.
* Proficient in Python with focus on Data Analytics Packages.
* Strategy Analyse large, complex data sets and provide actionable insights to inform business decisions.
* Strategy Design and implementing data models that help in identifying patterns and trends. Collaboration Work with data engineers to optimize and maintain data pipelines.
* Perform quantitative analyses that translate data into actionable insights and provide analytical, data-driven decision-making. Identify and recommend process improvements to enhance the efficiency of the data platform. Develop and maintain data models, algorithms, and statistical models
**Preferred technical and professional experience**
* Experience with conversation analytics. Experience with cloud technologies
* Experience with data exploration tools such as Tableu
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

**Introduction**
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
**Your role and responsibilities**
* Work with broader team to build, analyze and improve the AI solutions.
* You will also work with our software developers in consuming different enterprise applications.
**Required technical and professional expertise**
* Resource should have 5-7 years of experience. Sound knowledge of Python and should know how to use the ML related services.
* Proficient in Python with focus on Data Analytics Packages.
* Strategy Analyse large, complex data sets and provide actionable insights to inform business decisions.
* Strategy Design and implementing data models that help in identifying patterns and trends. Collaboration Work with data engineers to optimize and maintain data pipelines.
* Perform quantitative analyses that translate data into actionable insights and provide analytical, data-driven decision-making. Identify and recommend process improvements to enhance the efficiency of the data platform. Develop and maintain data models, algorithms, and statistical models
**Preferred technical and professional experience**
* Experience with conversation analytics. Experience with cloud technologies
* Experience with data exploration tools such as Tableu
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

About **Zscaler**
Serving thousands of enterprise customers around the world including 45% of Fortune 500 companies, Zscaler (NASDAQ: ZS) was founded in 2007 with a mission to make the cloud a safe place to do business and a more enjoyable experience for enterprise users. As the operator of the world's largest security cloud, Zscaler accelerates digital transformation so enterprises can be more agile, efficient, resilient, and secure. The pioneering, AI-powered Zscaler Zero Trust Exchange platform, which is found in our SASE and SSE offerings, protects thousands of enterprise customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.
Named a Best Workplace in Technology by Fortune and others, Zscaler fosters an inclusive and supportive culture that is home to some of the brightest minds in the industry. If you thrive in an environment that is fast-paced and collaborative, and you are passionate about building and innovating for the greater good, come make your next move with Zscaler.
Our Engineering team built the world's largest cloud security platform from the ground up, and we keep building. With more than 100 patents and big plans for enhancing services and increasing our global footprint, the team has made us and our multitenant architecture today's cloud security leader, with more than 15 million users in 185 countries. Bring your vision and passion to our team of cloud architects, software engineers, security experts, and more who are enabling organizations worldwide to harness speed and agility with a cloud-first strategy.
We're looking for an experienced Sr. Staff Machine Learning Engineer to join our Digital Experience team. This role is critical to shape the next generation of Digital Experience with world class tools to identify the insights, root causes, and also enable the agentic AI functionalities. Reporting to the Senior Manager, Machine Learning Engineering, you'll be responsible for:
+ Framing high-impact use cases, design agent workflows (tool use, planning, memory, context), and build the frameworks for all the products
+ Evaluating and integrating advances in LLMs/SLMs, retrieval, fine-tuning, and inference optimization to deliver reliable, cost-efficient production features
+ Designing, implementing, and operating microservices that are observable, resilient, and performant (APIs, data pipelines, orchestration, caching)
+ Working with Product, UX, and customers to turn ambiguous problems into measurable wins-clear SLAs, telemetry, and feedback loops
**What We're Looking for (Minimum Qualifications)**
+ BS in Computer Science (or related) with 7+ years, or MS/PhD in Computer Science (or related) with 6+ years of experience in solving real world problems leveraging AI/ML and distributed systems
+ Exceptional problem-solving skills driven by first-principles thinking, applying expertise in programming, data structures, algorithms, and machine learning
+ Proven experience in the full ML model lifecycle- building, deployment, monitoring, and optimization
+ Hands-on with modern GenAI stacks (e.g., LangChain/LangGraph, CrewAI, vector stores, RAG, prompts/memory, evaluators)
+ Proven experience designing and operating distributed microservices (Kubernetes/Docker, CI/CD, observability; AWS/GCP/Azure) and writing production-grade code in Python, Go, or Java
**What Will Make You Stand Out (Preferred Qualifications)**
+ Experience fine-tuning and serving proprietary SLMs/LLMs at scale (latency, cost, safety, evals)
+ Prior delivery of agentic systems in production, including context engineering and memory management strategies
+ Track record building high-throughput, fault-tolerant systems with clear SLOs
#LI-AN4
#LI-Hybrid
At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.
Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:
+ Various health plans
+ Time off plans for vacation and sick time
+ Parental leave options
+ Retirement options
+ Education reimbursement
+ In-office perks, and more!
Learn more about Zscaler's Future of Work strategy, hybrid working model, and benefits here ( .
By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.
Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. _See more information by clicking on the_ Know Your Rights: Workplace Discrimination is Illegal ( _link._
Pay Transparency
Zscaler complies with all applicable federal, state, and local pay transparency rules.
Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.