Senior Engineer - Large Language Model Engineer

Zs Associates; Bengaluru; Hybrid; INR 800,000 - 1,200,000; Full time

Benefits offered by this job

Health & well-being benefits

Financial planning

Robust skills development programs

Job summary

A global management consulting firm is seeking an Associate Consultant to drive continuous business value through innovative machine learning solutions. This role involves collaborating with data scientists to design and deploy cutting-edge ML models, managing the full ML lifecycle, and ensuring high-quality deliverables. Candidates should have a strong foundation in computer science, experience with distributed computing frameworks like Spark, and a client-first mentality. A hybrid working model is implemented, allowing remote work flexibility.

Qualifications

• 2+ years of relevant hands-on experience in data-related fields.
• Strong command over distributed computing frameworks.
• Ability to quickly learn new technologies.

Responsibilities

• Collaborate with teams to gather and analyze technical requirements.
• Design and implement technical features for clients.
• Write and review production-ready code.

Skills

Distributed computing framework (e.g., Spark)

Analytical/problem-solving skills

Programming skills (Python, Java, Scala)

Data management solutions

Fluency in English

Collaborative spirit

Education

2+ years of relevant experience

Computer Science foundation

Tools

AWS

Azure

GCP

Job description

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.

Technology Group

ZS's Scaled AI practice is part of ZS's rich and advanced AI ecosystem. In the Associate Consultant role, you will focus on creating continuous business value for clients using a range of innovative machine learning, deep learning, and engineering capabilities. You will collaborate with data scientists to design and deploy cutting‑edge ML models, platforms, pipelines, and manage the complete ML lifecycle.

What you’ll do:

• Collaborate with client‑facing teams to understand solution context and contribute to technical requirement gathering and analysis.
• Design and implement technical features leveraging best practices for the technology stack in use.
• Work with technical architects to validate design and implementation approaches.
• Write production‑ready code that is easily testable, well‑understood by other developers, and accounts for edge cases and errors.
• Ensure highest quality of deliverables by following architecture/design guidelines, coding best practices, and periodic design/code reviews.
• Write unit tests and higher‑level tests to handle expected edge cases and errors gracefully.
• Use bug tracking, code review, version control, and other tools to organize and deliver work.
• Participate in scrum calls and agile ceremonies, effectively communicating work progress, issues, and dependencies.
• Consistently contribute to researching and evaluating latest technologies through rapid learning, proof‑of‑concepts, and prototype solutions.

What you’ll bring:

• 2+ years of relevant hands‑on experience.
• CS foundation is a must.
• Strong command over a distributed computing framework like Spark (preferred) or others.
• Strong analytical/problem‑solving skills.
• Ability to quickly learn and become hands‑on with new technology and innovate solutions.
• Strong in at least one programming language (Python, Java, Scala, etc.) and programming basics – data structures.
• Hands‑on experience building modules for data management solutions such as data pipeline, orchestration, ingestion patterns (batch, real‑time).
• Experience designing and implementing solutions on distributed computing and cloud services platforms (e.g., AWS, Azure, GCP).
• Good understanding of RDBMS, with some ETL experience preferred.
• Fluency in English.
• Client‑first mentality.
• Intense work ethic.
• Collaborative spirit and problem‑solving approach.

Additional Skills:

• Understanding of DevOps, CI/CD, data security, experience designing on cloud platforms.
• AWS Solutions Architect certification with a broader AWS stack knowledge.
• Knowledge of data modeling and data warehouse concepts.
• Willingness to travel to other global offices as needed.

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.

Hybrid working model:

ZS is committed to a flexible and connected way of working. ZS employees are onsite at clients or ZS offices three days a week, with two days of remote work available. This blend maximizes collaboration and fosters both planned and spontaneous face‑to‑face connections.

Perks & Benefits:

ZS offers a comprehensive total rewards package including health & well‑being, financial planning, annual leave, personal growth, and professional development. Robust skills development programs, multiple career progression options, internal mobility paths, and a collaborative culture empower you to thrive as a global team member.

Travel:

Travel is required for client‑facing ZSers; project and client needs prioritize travel. While some projects may be local, all client‑facing ZSers should be prepared to travel as needed to strengthen client relationships and broaden experiences.

Considering applying?

We are an equal‑opportunity employer and are committed to providing equal employment and advancement opportunities without regard to any protected class. Candidates must possess or be able to obtain work authorization for their intended country of employment. An online application, including a full set of transcripts (official or unofficial), is required to be considered.