Senior Machine Learning Engineer
Cognite - AI for Industry —Bengaluru, Karnataka
- Azure
- Computer Science
- Master's degree
Quick apply
2d
Staff ML Engineer
Buildkite —Panznor, Jammu and Kashmir
- SQL
- AWS
- Machine learning
Software Development Engineer
BioGenex Life Sciences Pvt Ltd —Adibatla, Telangana
- Full-time
- Azure
- Computer Science
- DevOps
- Commuter assistance
- Health insurance
Quick apply
Machine learning and AI Engineer
Megdap Innovation Labs —Pune, Maharashtra
- Email
- Azure
- Computer Science
- Java
Senior Machine Learning Engineer, Synthetic Data & Document Understanding
ABBYY —Bengaluru, Karnataka
- Remote
- Doctoral degree
- Computer Science
- Master's degree
- Health insurance
- Paid time off
Quick apply
Software Development Engineer III Data
Meesho —Bengaluru, Karnataka
- Full-time
- Java
- SQL
- Analysis skills
- Health insurance
Senior Product Associate - Employee Experience (AI Tooling, RAG, LLM)
JPMorganChase —Bengaluru, Karnataka
- Full-time
- Master's degree
- Product management
- AI
1d
Staff Backend Engineer
Coupang —Bengaluru, Karnataka
- Hybrid work
- System design
- Java
- Master's degree
- Work from home
Quick apply
Senior Data Scientist
ALSTOM —Bengaluru, Karnataka
- Computer Science
- Master's degree
- SQL
AI Research Scientist
RDAlabs —Bengaluru, Karnataka
- Doctoral degree
- Computer Science
- Research
QA Lead
STL - Sterlite Technologies Limited —Waluj Buzurg, Maharashtra
- Machine learning
- JavaScript
- APIs
Software Engineer, Machine Learning
Glean Technologies —Bengaluru, Karnataka
- Computer Science
- B.Sc
- Java
Staff Engineer, Systems Design Engineering
Sandisk —Bengaluru, Karnataka
- Full-time
- System design
- Master's degree
- Analysis skills
Quick apply
Principal QA Automation Engineer
KlearNow.ai —Gurugram, Haryana
- Full-time
- Machine learning
- APIs
- Agile
Quick apply
Software Development Senior Engineer Research Waters Connect
Waters Corporation —Bengaluru, Karnataka
- Doctoral degree
- Computer Science
- Java
Sr Staff Engineer, Physical Design
Renesas Electronics —Hyderabad, Telangana
- Full-time
- Hybrid work
- Computer science
- Master's degree
- Agile
Quick apply
14h
Sr. Engineer - Digital Imaging
Pramana —Bengaluru, Karnataka
- Full-time
- Computer Science
- Research
- C++
Senior Software Engineer, AI/ML
ValGenesis —Chennai, Tamil Nadu
- Full-time
- Computer Science
- DevOps
- Machine learning
Quick apply
AI/MLEngineer
The Digital Group —Pune, Maharashtra
- Azure
- Research
- Databases
Principal Engineer - Data
Enlyft —Pune, Maharashtra
- Full-time
- Hybrid work
- Azure
- Computer Science
- SQL
Quick apply

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

Machine Learning Engineer jobs in Bengaluru, Karnataka

Senior Engineer jobs in Bengaluru, Karnataka

Senior Data Scientist jobs in Bengaluru, Karnataka

Software Engineer jobs in Bengaluru, Karnataka

Senior Ai Ml Engineer jobs in Hyderabad, Telangana

Staff Engineer jobs in Bengaluru, Karnataka

Machine Learning Engineer jobs in Pune, Maharashtra

Back End Developer jobs in Bengaluru, Karnataka

Principal Software Engineer jobs in Pune, Maharashtra

Cutting Machine Operator jobs in Noida, Uttar Pradesh

Machine Learning Engineer jobs in Nikol, Ahmedabad, Gujarat

Cnc Machine Operator jobs in Kerala

Fresher Walkin Interview, Machine Learning jobs in Hyderabad, Telangana

Machine Learning Engineer jobs in Vadodara, Gujarat

Machine Learning Engineer jobs in Guwahati, Assam

Machine Learning Engineer jobs in Remote'

Automation Architect jobs in Noida, Uttar Pradesh

Automation Architect jobs in Bengaluru, Karnataka

Automation Architect jobs in Thiruvananthapuram, Kerala

Junior Architect jobs in Thane, Maharashtra

Senior Machine Learning Engineer

Cognite - AI for Industry
Bengaluru, Karnataka

Quick apply

Job details

2 days 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

Staff ML Engineer

Software Development Engineer

Machine learning and AI Engineer

Senior Machine Learning Engineer, Synthetic Data & Document Understanding

Software Development Engineer III Data

Senior Product Associate - Employee Experience (AI Tooling, RAG, LLM)

Staff Backend Engineer

Senior Data Scientist

AI Research Scientist

QA Lead

Software Engineer, Machine Learning

Staff Engineer, Systems Design Engineering

Principal QA Automation Engineer

Software Development Senior Engineer Research Waters Connect

Sr Staff Engineer, Physical Design

Sr. Engineer - Digital Imaging

Senior Software Engineer, AI/ML

AI/MLEngineer

Principal Engineer - Data