Senior Machine Learning Engineer
Cognite - AI for Industry —Bengaluru, Karnataka
- Azure
- Computer Science
- Master's degree
Quick apply
13h
Embedded Systems Architect – Edge AI Hardware
Eurth Techtronics —Hyderabad, Telangana
- Full-time
- System design
- Master's degree
- C++
ML Engineer -Signal Processing / ASR
Fresh Prints —India
- Full-time
- Remote
- Machine learning
- Python
Quick apply
Design Verification Engineer
Texas Instruments —India
- Master's degree
- Bachelor's degree
- Scripting
Principal Search/AI Engineer
Grid Dynamics —India
- Full-time
- Hybrid work
- Azure
- DevOps
- Research
- Health insurance
- Flexible schedule
Senior Data Scientist
UptimeAI —India
- Full-time
- Hybrid work
- Azure
- SQL
- AWS
Backend Engineer (India/Remote)
Soulside AI —India
- Full-time
- Remote
- Azure
- Java
- Master's degree
Quick apply
AI Engineer
Hyland Software —Hyderabad, Telangana
- Master's degree
- Bachelor's degree
- Organizational skills
5h
Data & ML Platform Engineering
Weekday —Bengaluru, Karnataka
- Full-time
- Computer Science
- Master's degree
- Bachelor's degree
Quick apply
2h
Data & ML Platform Engineering
Weekday —Mumbai, Maharashtra
- Full-time
- Computer Science
- Master's degree
- Bachelor's degree
Quick apply
2h

More jobs to discover

Find similar jobs that you might be interested in.

Embedded Systems Architect – Edge AI Hardware
Eurth Techtronics —Hyderabad, Telangana
At EURTH TECHTRONICS PVT LTD, you won't just be optimizing firmware — you will architect full-stack intelligent systems that push the boundary of what's…
RF Engineer
IIO Technologies Pvt Ltd —Gurugram, Haryana
At IIO Technologies, you aren't just an employee; you are a defender of the nation’s digital and physical borders. Pay: Up to ₹200,000.00 per month.
Up to ₹2,00,000 a month
Quick apply
8d

I want to receive the latest job alerts for ml engineer signal processing /

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

ml engineer signal processing / jobs near

Platform Engineer jobs in Mumbai, Maharashtra

Machine Learning Engineer jobs in Bengaluru, Karnataka

Platform Engineer jobs in Bengaluru, Karnataka

Platform Engineer jobs in Hyderabad, Telangana

Civil Engineer, Billing Engineer jobs in Madhya Pradesh

Platform Engineer jobs in Pune, Maharashtra

Civil Engineer, Jal Jeevan Mission Project jobs in Rajasthan

Diploma Civil Engineer jobs in Pune, Maharashtra

Process Engineer, Chemical jobs in Nashik, Maharashtra

Design Verification Engineer jobs in Noida, Uttar Pradesh

Electronics Engineer jobs in Hyderabad, Telangana

Document Verification Work From Home jobs in Maharashtra

Design Verification Engineer jobs in Bangalore City, Bengaluru, Karnataka

Design Verification Engineer jobs in Remote

Design Verification Engineer jobs in Ahmedabad, Gujarat

Civil Engineer Fresher,work From Home jobs in Pune, Maharashtra

Fire Engineer jobs in Hyderabad, Telangana

Senior Data Scientist jobs in Delhi, Delhi

Senior Citizen, Part Time jobs in Delhi, Delhi

Senior Data Scientist jobs in Bengaluru, Karnataka

Senior Machine Learning Engineer

Cognite - AI for Industry
Bengaluru, Karnataka

Quick apply

Job details

13 hours ago

Qualifications

TensorFlow
CI/CD
Image processing
Azure
Law
Computer Science
Software Engineering
Kubernetes
PyTorch
Data structures
Spark
Git
Master's degree
AWS
Docker
Bachelor's degree
Machine learning
Continuous integration
REST
Natural language processing
Django
GitHub
APIs
Linux
JSON
Apache
Data science
Manufacturing
Flask
gRPC
Jenkins
Graph databases
Python
Software architecture
Data Science

Full job description

What Cognite is: Relentless to achieve

Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world's hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.

We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you'll feel right at home here.

Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.

About the Opportunity

We are building the next generation of contextual AI for Industrial Operations. Our team focuses on transforming unstructured, complex industrial data—ranging from technical manuals to complex piping and instrumentation diagrams (P&IDs)—into structured, actionable intelligence. We leverage state-of-the-art Deep Learning, Generative AI, and Computer Vision to drive efficiency, safety, and operational excellence.

About the Role

As a Senior Machine Learning Engineer, you will be the engine of our contextualization initiatives, taking independent ownership of complex ML features from conception to production. You will bridge the gap between data science and software engineering, building the models and the surrounding infrastructure that parse complex industrial documents, extract multimodal entities, and interpret intricate engineering diagrams.

To be clear: this is an engineering-first role. We are not just looking for researchers to build isolated models; we need builders who write production-grade code, build robust APIs, and solve complex infrastructure problems. You will treat ML models as software components integrated into a highly scalable archite

How you'll demonstrate Ownership

System-minded, focused on maintainability, rigorous testing, and automated pipelines for reliable ML production.
Thrives in ambiguity, independently defining the technical path, selecting tools judiciously, and driving solutions to completion.
Elevates team code quality through constructive reviews and informal mentorship, bridging the gap between research and production

The Impact you bring to Cognite

Key Responsibilities

Take product requirements and independently design, train, test, and deploy ML models (e.g., NLP, Vision-Language Models) for document parsing, layout analysis, and entity matching.
Write high-quality, scalable production code (Python). Wrap your ML models into robust RESTful or gRPC APIs and integrate them seamlessly into existing industrial master data systems and workflows.
Implement and maintain CI/CD pipelines for your models. Navigate complex deployment environments, manage containerized applications (Docker/Kubernetes), and optimize inference bottlenecks.
Work with Principal engineers to translate high-level system architectures into concrete, scalable data pipelines and production-ready microservices.
Design automated testing for ML pipelines. Monitor deployed models in production for data drift, latency, and accuracy, proactively implementing retraining strategies.
Collaborate effectively with product managers to define ML capabilities. Provide code reviews and informal technical mentorship to engineers.

Required Skills and Qualifications

Bachelor's or Master's degree in Computer Science, Data Science, Software Engineering, or a related field.
6–10 years of industry experience in software engineering with a strong focus on machine learning, MLOps, and API development.
Strong programming skills in Python with experience using backend web frameworks (e.g., FastAPI, Flask, Django) to serve models.
Solid expertise in frameworks like PyTorch, TensorFlow, Hugging Face Transformers, or LangChain.
Hands-on experience with containerization (Docker, Kubernetes), Linux environments, CI/CD tools (GitHub Actions, Jenkins), and deploying models on cloud platforms (AWS, Azure, or GCP).
Solid understanding of software architecture, data structures, and algorithms to ensure performant code.
Hands-on experience with distributed data processing frameworks (e.g., Apache Spark, Ray, Dask) and orchestrating complex data workflows (e.g., Apache Airflow, Dagster, Prefect).

What Sets your Role Apart

Independently define the technical ML/SWE approach for ambiguous feature requests and deliver to production.
Recognize the model is a small part of the solution; expertly manage aspects like API rate limiting, asynchronous processing, and robust data routing around ML components.
Possess hands-on experience maintaining production ML models and designing resilient systems against poor data quality..

Preferred Qualifications

Proven experience fine-tuning and deploying multimodal models for visual data and engineering diagrams in live environments.
Built robust, production-grade RAG pipelines, expertly utilizing Vector/Graph Databases for high-accuracy entity retrieval.
Familiar with orchestrating multi-step reasoning using frameworks like LangGraph or AutoGen for real-world problem-solving.
Strong understanding of advanced OCR, layout parsing, and techniques for consistent structured JSON extraction from complex industrial PDFs. Manufacturing/OT dataset experience preferred.
Ability to optimize LLMs/VLMs for inference latency (quantization, TensorRT, vLLM), potentially in constrained, on-premises environments.
Experience with modern data lake/lakehouse architectures (Delta Lake, Iceberg, Databricks) for efficient querying and preprocessing of petabyte-scale unstructured data for LLM/VLM training and RAG.

Learn more about us

Impact 2025
Cognite's Industrial AI: Moonshot
We're globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.

Equal Opportunity

Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.

Quick apply

Refine Your Search

ml engineer signal processing / jobs

Senior Machine Learning Engineer

Embedded Systems Architect – Edge AI Hardware

ML Engineer -Signal Processing / ASR

Design Verification Engineer

Principal Search/AI Engineer

Senior Data Scientist

Backend Engineer (India/Remote)

AI Engineer

Data & ML Platform Engineering