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Business Technology Solutions Consultant _AI/ML

ZS Associates

Business Technology Solutions Consultant _AI/ML

ZS Associates

Gurgaon, India; Pune, India

·

On-site

·

Full-time

·

2w ago

Benefits & Perks

Healthcare

Financial Planning

Unlimited PTO

Learning Budget

Remote Work

Flexible Hours

Healthcare

Unlimited Pto

Learning

Remote Work

Flexible Hours

Required Skills

Python

PySpark

Java

Scala

Machine Learning

GenAI

Apache Spark

Hadoop

Apache Kafka

Data Engineering

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. 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.

What you’ll do:

  • Design, architect, and implement complex technical features, applying best practices across the chosen technology stack and ensuring scalability, reliability, and maintainability.
  • Collaborate closely with client‑facing and cross‑functional teams to understand business context, contribute to requirements gathering, and translate solution needs into actionable technical designs.
  • Partner with technical architects to validate design decisions, review alternatives, and jointly define implementation approaches for high‑impact components.
  • Write high‑quality, production‑ready code that is modular, testable, maintainable, and resilient to edge cases and failure scenarios.
  • Ensure delivery excellence by adhering to architecture guidelines, coding standards, and contributing actively to design and code reviews.
  • Develop unit tests and higher‑level automated tests to ensure coverage of both expected and edge scenarios, improving overall solution reliability.
  • Use engineering tools effectively — version control, code review platforms, issue tracking systems, observability/monitoring tools — to plan, organize, and deliver work.
  • Participate in Agile ceremonies (scrum calls, sprint planning, retrospectives) and provide structured updates, blockers, and risk signals in a timely manner.
  • Drive technical exploration by rapidly evaluating emerging technologies, conducting proofs‑of‑concept, and presenting insights and recommendations to the broader team.
  • Support the technical architect in shaping module‑level and component‑level architecture, ensuring alignment with the broader product or project blueprint.
  • Break down complex, multi‑step features into clear, estimable tasks, lead the estimation process, and effectively communicate rationale to internal teams and clients.
  • Independently lead implementation of complex or cross‑cutting features that span multiple services, components, or application layers.
  • Troubleshoot and systematically debug issues using logs, alerts, monitoring dashboards, and diagnostic tools to drive quick and root‑cause‑level resolution.
  • Perform peer code reviews, including reviewing work from senior engineers, ensuring quality, consistency, and adherence to engineering standards.
  • Mentor, coach, and develop technical talent within the team, providing guidance on best practices, design patterns, and coding workflows.
  • Author and maintain product, asset, and technical documentation—particularly for content/authoring workflows within the R&D domain—ensuring clarity, consistency, and knowledge continuity.

What You’ll Bring

  • 5+ years of hands‑on experience in deploying, productionizing, and scaling ML or GenAI applications in real‑world environments.
  • Deep expertise in ML Engineering platforms such as Sage Maker, MLflow, Kubeflow, or equivalent orchestration frameworks.
  • Strong command of distributed data technologies: Hive, Spark, Hadoop, and messaging/streaming systems such as Kafka, RabbitMQ, or AWS Kinesis.
  • Ability to quickly learn new technologies, run independent POCs, and document insights in a structured, consumable format.
  • Strong proficiency in at least one programming language: Python, Py Spark, Java, or Scala, combined with a solid foundation in data structures and algorithmic thinking.
  • Hands‑on experience creating metadata‑driven, reusable patterns for data ingestion, orchestration, and pipeline automation (batch + real‑time).
  • Experience designing and implementing solutions on distributed/cloud platforms: AWS, Azure, GCP.
  • Practical exposure to CI/CD pipelines, DevOps practices, and application monitoring/observability tools.

Additional Skills:

  • AWS/Azure Solutions Architect certifications or equivalent cloud proficiency.
  • Understanding of DevOps, CI/CD, cloud security, and best practices in cloud‑native architectures.
  • Willingness to travel to global offices for client workshops, project collaboration, or co‑development sessions.

How you’ll grow:

  • Cross-functional skills development & custom learning pathways
  • Milestone training programs aligned to career progression opportunities
  • Internal mobility paths that empower growth via s-curves, individual contribution and role expansions

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.

Hybrid working model:

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.

Travel:

Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.

Considering applying?

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 integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive.

If you’re eager to grow, contribute, and bring your unique self to our work, we encourage you to apply.

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 or be able to obtain 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

What you’ll do:

  • Design, architect, and implement complex technical features, applying best practices across the chosen technology stack and ensuring scalability, reliability, and maintainability.
  • Collaborate closely with client‑facing and cross‑functional teams to understand business context, contribute to requirements gathering, and translate solution needs into actionable technical designs.
  • Partner with technical architects to validate design decisions, review alternatives, and jointly define implementation approaches for high‑impact components.
  • Write high‑quality, production‑ready code that is modular, testable, maintainable, and resilient to edge cases and failure scenarios.
  • Ensure delivery excellence by adhering to architecture guidelines, coding standards, and contributing actively to design and code reviews.
  • Develop unit tests and higher‑level automated tests to ensure coverage of both expected and edge scenarios, improving overall solution reliability.
  • Use engineering tools effectively — version control, code review platforms, issue tracking systems, observability/monitoring tools — to plan, organize, and deliver work.
  • Participate in Agile ceremonies (scrum calls, sprint planning, retrospectives) and provide structured updates, blockers, and risk signals in a timely manner.
  • Drive technical exploration by rapidly evaluating emerging technologies, conducting proofs‑of‑concept, and presenting insights and recommendations to the broader team.
  • Support the technical architect in shaping module‑level and component‑level architecture, ensuring alignment with the broader product or project blueprint.
  • Break down complex, multi‑step features into clear, estimable tasks, lead the estimation process, and effectively communicate rationale to internal teams and clients.
  • Independently lead implementation of complex or cross‑cutting features that span multiple services, components, or application layers.
  • Troubleshoot and systematically debug issues using logs, alerts, monitoring dashboards, and diagnostic tools to drive quick and root‑cause‑level resolution.
  • Perform peer code reviews, including reviewing work from senior engineers, ensuring quality, consistency, and adherence to engineering standards.
  • Mentor, coach, and develop technical talent within the team, providing guidance on best practices, design patterns, and coding workflows.
  • Author and maintain product, asset, and technical documentation—particularly for content/authoring workflows within the R&D domain—ensuring clarity, consistency, and knowledge continuity.

What You’ll Bring

  • 5+ years of hands‑on experience in deploying, productionizing, and scaling ML or GenAI applications in real‑world environments.
  • Deep expertise in ML Engineering platforms such as Sage Maker, MLflow, Kubeflow, or equivalent orchestration frameworks.
  • Strong command of distributed data technologies: Hive, Spark, Hadoop, and messaging/streaming systems such as Kafka, RabbitMQ, or AWS Kinesis.
  • Ability to quickly learn new technologies, run independent POCs, and document insights in a structured, consumable format.
  • Strong proficiency in at least one programming language: Python, Py Spark, Java, or Scala, combined with a solid foundation in data structures and algorithmic thinking.
  • Hands‑on experience creating metadata‑driven, reusable patterns for data ingestion, orchestration, and pipeline automation (batch + real‑time).
  • Experience designing and implementing solutions on distributed/cloud platforms: AWS, Azure, GCP.
  • Practical exposure to CI/CD pipelines, DevOps practices, and application monitoring/observability tools.

Additional Skills:

  • AWS/Azure Solutions Architect certifications or equivalent cloud proficiency.
  • Understanding of DevOps, CI/CD, cloud security, and best practices in cloud‑native architectures.
  • Willingness to travel to global offices for client workshops, project collaboration, or co‑development sessions.

How you’ll grow:

  • Cross-functional skills development & custom learning pathways
  • Milestone training programs aligned to career progression opportunities
  • Internal mobility paths that empower growth via s-curves, individual contribution and role expansions

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.

Hybrid working model:

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.

Travel:

Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.

Considering applying?

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 integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive.

If you’re eager to grow, contribute, and bring your unique self to our work, we encourage you to apply.

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 or be able to obtain 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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About ZS Associates

ZS Associates

ZS Associates

Bootstrapped

A global leader in sales and marketing consulting, outsourcing, technology and software.

10,001+

Employees

Evanston

Headquarters

Reviews

3.8

3 reviews

Work Life Balance

2.5

Compensation

4.0

Culture

3.0

Career

3.5

Management

3.0

65%

Recommend to a Friend

Pros

Higher compensation compared to competitors

Strong reputation and brand recognition

Career growth prospects in consulting

Cons

Limited breadth of experience

Long work hours (60+ hours per week)

Uncertain exit opportunities

Salary Ranges

2,231 data points

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Decision Analytics Associate

222 reports

$108,335

total / year

Base

$100,229

Stock

-

Bonus

$8,106

$84,458

$140,791

Interview Experience

3 interviews

Difficulty

3.7

/ 5

Duration

14-28 weeks

Offer Rate

33%

Experience

Positive 33%

Neutral 0%

Negative 67%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Interview

4

Behavioral Interview

5

Team Matching

6

Offer

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Case Study

Past Experience