Remote Machine learning engineer / data Jobs – 116 Open Jobs Today

Senior Data Analyst
Netomi —Remote
- Full-time
- Remote
- Data analysis skills
- SQL
- Analysis skills
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AIML trainer
Race pvt ltd —Remote
- From ₹9,435.51 a month
- Full-time
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- Machine learning
- AI
- Cell phone reimbursement
- Flexible schedule
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10h
Product Manager
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- ₹7,72,482.77 - ₹22,86,621.13 a year
- Full-time
- Remote
- Computer Science
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Senior Ai/Ml Engineer
Hiring Mavericks —Remote
- ₹17,00,000 - ₹25,00,000 a year
- Full-time
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- Azure
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- Part-time
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5d
AI Computer Engineer / AI Automation Specialist
Four Square Steel Construction Contracting LLC —Remote
- Email
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- Full-time
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Lookout —Remote
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SDE II - Python Developer
Netomi —Remote
- Full-time
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Manager / Area Manager Artificial Intelligence
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Senior Software Engineer, Security Engineering - India
JumpCloud —Remote
- Full-time
- Remote
- English
- AWS
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Staff SDE
EDB —Remote
- Remote
- Azure
- Oracle
- DevOps
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Technical Lead / Engineering Manager, Full Stack - Gen AI (India)
Codvo.ai —Remote
- Remote
- Computer Science
- Salesforce
- Data analysis skills

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Senior Data Analyst

Netomi -
Remote

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Job details

Full-time

Qualifications

Power BI
Data analysis skills
Tableau
SQL
Analysis skills
Machine learning
AI
Python
Analytics

Full job description

About the Company:

Netomi is the leading agentic AI platform for enterprise customer experience. We work with the largest global brands like Delta Airlines, MetLife, MGM, United, and others to enable agentic automation at scale across the entire customer journey. Our no-code platform delivers the fastest time to market, lowest total cost of ownership, and simple, scalable management of AI agents for any CX use case. Backed by WndrCo, Y Combinator, and Index Ventures, we help enterprises drive efficiency, lower costs, and deliver higher quality customer experiences.

Want to be part of the AI revolution and transform how the world’s largest global brands do business? Join us!

About the Role:

As a Senior Data Analyst, you will be responsible for preparing, analyzing, and interpreting large datasets to support the development and evaluation of machine learning models. Your work will focus on ensuring high-quality data, identifying meaningful patterns, and generating actionable insights that contribute to AI-driven solutions. This role demands strong analytical skills, attention to detail, and a keen interest in working with machine learning data in a dynamic, fast-paced environment.

Responsibilities

Own enterprise client onboarding for agentic AI implementations, including data analysis, topic clustering, coverage planning, and workflow/action design
Design, implement, and optimize prompts, conversation flows, agent logic, and knowledge configurations for production AI agents
Deliver AI solutions end-to-end, from solution design through UAT, production launch, and post-go-live optimization
Own post-launch AI performance at the client level, driving improvements in containment, resolution quality, and handoff reduction
Analyze conversation data, quality signals, and DSAT drivers to identify root causes and optimization opportunities
Implement iterative improvements across prompts, workflows, actions, guardrails, and knowledge bases based on data and evaluation results
Collaborate with AI Quality & Evaluation teams to validate response accuracy, conversation quality, and regression risk
Partner with Client Analytics and ML-Ops teams to act on insights, platform changes, and production issues
Mentor junior analysts and engineers through design reviews, solution feedback, and applied AI best-practice guidance

Requirement

5+ years of experience in applied AI, conversational AI, analytics, or AI-powered customer experience solutions
Hands-on experience with LLMs, prompt engineering, agent workflows, and tool/action-based AI systems
Experience working with real-world customer interaction data (chat, tickets, email, call transcripts, or voice data)
Strong analytical ability to diagnose and resolve AI behavior issues across prompts, knowledge, workflows, evaluation, and user experience
Working knowledge of SQL and Python for data analysis, experimentation, and debugging AI behavior
Ability to use Tableau, Power BI, or similar BI tools to analyze trends, quality signals, and performance metrics
Experience collaborating with cross-functional teams including analytics, quality, product, and ML-Ops
Comfortable working directly with enterprise customers and translating ambiguous requirements into clear, scalable AI solutions

Netomi is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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