Data Ops ML Engineer AI-Native B2B SaaS

Experience: 4.00 + years

Salary: Confidential (based on experience)

Expected Notice Period: 7 Days

Shift: (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type: Remote

Placement Type: Full Time Contract for 3 Months(40 hrs a week/160 hrs a month)

(*Note: This is a requirement for one of Uplers client - LL)

What do you need for this opportunity?

Must have skills required:

Anthropic, OpenAI, Data Ops, MLOps, Google Cloud Platform, Machine Learning, PostgreSQL, Python, Vertex AI

LL is Looking for:

This role is a hybrid Data Ops + ML Engineer position, responsible for building and scaling both the data ingestion foundation and AI/ML capabilities of the platform. The product analyses real customer conversations alongside CRM and campaign data to generate actionable insights for revenue teams. With a functional MVP already delivered, the next phase focuses on scaling the platform, strengthening observability, and establishing a robust foundation for multi-client onboarding. This is a high-ownership, ground-up role, setting standards for data and ML scale during a critical growth phase.

About The Product

• The platform enables marketing and commercial teams to identify customer patterns faster, operating at the intersection of B2B SaaS, LLMs, and sales enablement.
• AI-native platform that analyses customer conversations along with sales and marketing data.
• Modern cloud-native stack, built on Google Vertex AI and serverless workloads.
• Current status: A functional MVP is live and moving into the scaling and enhancement phase.
  
  
  

Responsibilities

Data Ops

• Extend and automate ingestion connectors for email, transcripts, and conversational tools.
• Maintain standardized metadata and ensure traceability from data source to insight.
• Define and evolve data models supporting RBAC, analytics, and AI-driven retrieval.
• Own data quality validation, schema alignment, and error monitoring.
  
  
  

ML / LLM Engineering

• Enhance prompt design, error handling, and structured output quality.
• Optimize token usage, latency, grounding strategies, and hallucination safeguards.
• Define and implement evaluation metrics for insight quality and utilization.
• Partner with engineering teams to support scalable model deployment and lifecycle management.
  
  
  

Must-Have Experience & Skills

Technical Requirements

• Experience: 4+ years in hybrid data engineering and ML engineering teams preferred.
• Languages: Strong proficiency in Python.
• Cloud & Infrastructure: Hands-on experience with Google Cloud Platform, particularly Vertex AI and Cloud Functions.
• Data Platform: Experience with PostgreSQL and strong data modeling skills.
• ETL / Ingestion: Experience with Airbyte, Cloud Composer, or similar ingestion orchestration tools.
• MLOps: Experience with API-driven LLM integrations (OpenAI, Anthropic, Vertex).
  
  
  

Soft Skills & Behaviours

• Strong ownership mindset with accountability for outcomes, not just tasks.
• Bias for action, favoring pragmatism over perfection.
• User-centric thinking, focusing on AI solutions that deliver clear, practical value.
  
  
  

Success Criteria

First 3–6 Months

• Ingestion Foundation: Automated, reliable ingestion pipelines supporting multiple data formats and sources.
• Data Quality: Robust tagging, validation, and metadata management enabling downstream AI use cases.
• Insight Consistency: Prompts and model configurations that deliver repeatable, trusted insights.
• Observability: Clear dashboards, alerting mechanisms, and data lineage controls in place.
  
  
  

How to apply for this opportunity?

• Step 1: Click On Apply! And Register or Login on our portal.
• Step 2: Complete the Screening Form & Upload updated Resume
• Step 3: Increase your chances to get shortlisted & meet the client for the Interview!
  
  
  

About Uplers:

Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.

(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, dont hesitate to apply today. We are waiting for you!

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