---
title: 'Senior Machine Learning Engineer at Spector.ai'
canonical: 'https://feeny.ai/job/senior-machine-learning-engineer-spector-ai-bengaluru-1w95n81yvnt8'
type: 'job'
last_seen: '2026-09-10'
---

# Senior Machine Learning Engineer at Spector.ai

- **Company:** Spector.ai
- **Location:** Bengaluru, India
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2025-12-13
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/spector-ai/7014db5e-6303-4641-84fc-7fd72ae94206

## Job description

## Role Description

We are seeking an experienced machine learning engineer to join our seasoned founding team to drive the development and innovation of our ML platform. Ideal candidates bring extensive experience in building the next generation of machine learning models and its training and serving infrastructure for the Spector. This role requires a hands-on tech lead who is passionate about our mission, thrives in a startup environment, and is committed to pushing the boundaries of what ML and GenAI can achieve in industrial resilience.

You will:

- Lead engineering initiatives aimed at the continuous enhancement of the ML platform, build high quality models to model drive value for users and our company.
- Hands-on contributor and overseer of ML workflow to build scalable, robust distributed infrastructure to support machine learning training, inference, and evaluation.
- Evaluate the technical tradeoffs of every decision.
- Perform code reviews and ensure exceptional code quality.
- Mentor and guide junior engineers, fostering a culture of growth, collaboration, and innovation within the technical team.
- Iterate quickly without compromising quality.

Must Have:

- Bachelor's Degree in a relevant technical field such as computer science and 6+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 5+ year of post-grad machine learning experience; or PhD in a relevant technical field + 3 years of post-grad machine learning experience.
- Experience developing machine learning models for supervised, unsupervised, ranking, or other relevant applications of machine learning.
- Strong understanding of machine learning approaches and algorithms.
- Have a track record in deploying scaled ML systems.
- Experience working with machine learning frameworks such as TensorFlow, PyTorch, Spark ML, scikit-learn, or related frameworks.
- Strong communication skills with the ability to convey complex technical concepts to both technical and non-technical stakeholders.
- Experience in cross-functional team alignment and collaborating closely with domain experts, engineers, and product specialists.
- Entrepreneurial Mindset: Highly motivated and adaptable with a passion for innovation, problem-solving, and making a meaningful impact in a startup environment. Willingness to take ownership and drive projects from concept to implementation,

Preferred to have:

- Experience in on-prem ML model deployment and observability.
- Experience in building and deploying ML models for real time time series data like sensor/IoT data.

About [Spector.ai](http://Spector.ai) [Spector.ai](http://Spector.ai) is a well-funded, fast-paced, innovative seed-stage startup focused on a mission to solve the $1.5 trillion challenge of industrial asset reliability. Spector is building an AI-first industrial agent platform designed to transform plant reliability and performance from reactive to autonomous operations. By combining machine learning and domain-specific industrial AI Agents, [Spector.ai](http://Spector.ai) enables real-time diagnostics, root cause analysis, and actionable recommendations at scale. The platform extracts insights from complex industrial data including unstructured documentation and live sensor streams reducing false positives, shortening time to resolution, and scaling expertise without reliance on data scientists. We are rapidly growing and looking for an experienced, self-driven DevOps Engineer to join our core team. This is a unique opportunity to shape our infrastructure, tooling, and deployment practices from the ground up, ensuring we can scale effectively and reliably as we move toward our next stage of funding and growth.

## About Spector.ai

## Company Overview
- **One-liner**: Spector.ai provides an AI agent-powered platform that streamlines industrial asset health management, enabling predictive maintenance and reliability for heavy-asset industries.
- **Entity Type**: Private (Series A)
- **Headquarters**: San Jose, California, USA, with an additional office in Bengaluru, India [cbinsights.com](https://www.cbinsights.com/company/spectorai) [builtin.com](https://builtin.com/company/spectorai)
- **Founded**: 2023 or 2024 (conflicting reports – Built In and LinkedIn state 2023, CB Insights states 2024) [cbinsights.com](https://www.cbinsights.com/company/spectorai) [linkedin.com](https://www.linkedin.com/company/spector-aii)
- **Founders**: Rishabh Uppal (Co-Founder & CTO), Sukrit Goel (Co-Founder) [linkedin.com](https://www.linkedin.com/company/spector-aii)

## Core Business
- **Primary Industry**: Industrial AI, Asset Health Management, Predictive Maintenance
- **Target Customers**: B2B; enterprise-level industrial plants in Oil & Gas, Chemicals, Manufacturing, Renewables, Power, and Infrastructure [spector.ai](https://spector.ai/)
- **Mission**: To maximize plant reliability, performance, and uptime by deploying AI agents that continuously learn from operational events and optimize models in real time [spector.ai](https://spector.ai/)

## Products & Services
- **AI Agent Platform**: Generative AI-based platform that automates predictive maintenance and visual inspection. Covers the full reliability lifecycle – extracting plant data for supervised ML training, failure mode identification, assisting operators with diagnostics, root cause analysis, and delivering actionable recommendations. Type: SaaS/API.

## Market Standing
- **Valuation**: Not publicly disclosed
- **Key Metric**: Total Funding of $6.7M (Series A, January 2026) [cbinsights.com](https://www.cbinsights.com/company/spectorai) [spector.ai](https://spector.ai/)
- **Notable Investors**: IvyCap Ventures (lead investor), Blume Ventures [cbinsights.com](https://www.cbinsights.com/company/spectorai)
- **Growth Signals**: 162.5% headcount growth year-over-year (now ~14 employees); opened a new Australia & Pacific region office led by Dinesh Singh (Sept 2025); Series A raised in January 2026 [linkedin.com](https://www.linkedin.com/company/spector-aii) [cbinsights.com](https://www.cbinsights.com/company/spectorai)

## Competitive Advantages
- Uses **generative AI** purpose-built for industrial reliability, differentiating from traditional rule-based or manual methods.
- AI agents continuously learn from new plant events and optimize predictive models in real time without human intervention.
- Covers the **entire reliability lifecycle** – from supervised ML training data extraction to operator diagnostics and root cause analysis – in a single platform.

## Strategic Focus
- **Scaling AI capabilities** across more industrial verticals and geographies (e.g., Australia & Pacific).
- **Growing the engineering and data science team**, especially in ML/GenAI and DevOps roles.
- Deepening partnerships with industrial operators to expand the platform’s continuous learning loop.

## Why Work Here
- **Hybrid work environment**: Employees combine remote work with on-site presence in Mountain View, CA or Bengaluru, India [builtin.com](https://builtin.com/company/spectorai)
- **Fast-growing startup**: 162.5% headcount growth in a year; small team (~14) offers high autonomy and impact.
- **Cutting-edge AI**: Work on applied generative AI for real-world industrial problems (predictive maintenance, reliability).
- **Open engineering roles**: Senior Machine Learning Engineer, ML Engineer (GenAI), DevOps Engineer – as of mid-2025 [jobs.ashbyhq.com](https://jobs.ashbyhq.com/spector-ai)
- **Culture**: AI-first, reliability-focused, collaborative with a mix of technical talent from companies like Google, InteligenAI, and universities like CMU [linkedin.com](https://www.linkedin.com/company/spector-aii)

## Sources
1. [spector.ai - Company home page](https://spector.ai/)
2. [cbinsights.com - Company profile, funding, financials](https://www.cbinsights.com/company/spectorai)
3. [builtin.com - Careers, perks, office locations](https://builtin.com/company/spectorai)
4. [linkedin.com - Company page, employee growth, executives](https://www.linkedin.com/company/spector-aii)
5. [jobs.ashbyhq.com - Open roles](https://jobs.ashbyhq.com/spector-ai)

## Other roles at Spector.ai

- [Reliability Head](https://feeny.ai/job/reliability-head-spector-ai-india-ghg4mdaxnncx) — India
- [Fullstack Software Engineer](https://feeny.ai/job/fullstack-software-engineer-spector-ai-bengaluru-562wths26tkm) — Bengaluru, India
- [Senior Machine Learning Engineer (GenAI)](https://feeny.ai/job/senior-machine-learning-engineer-genai-spector-ai-bengaluru-7zx17edrakr8) — Bengaluru, India
- [DevOps Engineer](https://feeny.ai/job/devops-engineer-spector-ai-bengaluru-5qn3dj4acjjg) — Bengaluru, India
- [Machine Learning Engineer](https://feeny.ai/job/machine-learning-engineer-spector-ai-bengaluru-as07n1sv1vbf) — Bengaluru, India
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