Machine Learning Engineer
Cognite - AI for Industry —Bengaluru, Karnataka
- Computer science
- Azure
- Computer Science
Quick apply
10d
Embedded ML Engineer – Edge Accelerator
Eurth Techtronics —Hyderabad, Telangana
- Full-time
- Computer Science
- Master's degree
- C++
Staff Engineer, Systems Design Engineering
Sandisk —Bengaluru, Karnataka
- Full-time
- System design
- Master's degree
- Analysis skills
Quick apply
Sr. Machine Learning Engineer
PinnacleU —Bengaluru, Karnataka
- ₹35,00,000 - ₹44,00,000 a year
- Full-time
- Azure
- Master's degree
- Machine learning
Quick apply
1d
Staff Engineer, Design Verification Engineering
Analog Devices —Bengaluru, Karnataka
- Full-time
- Travel
- Mentoring
- Scripting
Silicon AI/ML DFT Engineer, Google Cloud
Google —Bengaluru, Karnataka
- Full-time
- Master's degree
- Electrical experience
- Bachelor's degree
9d
Machine learning and AI Engineer
Megdap Innovation Labs —Pune, Maharashtra
- Email
- Azure
- Computer Science
- Java
Edge AI Systems Engineer
SatSure Analytics India —Bengaluru, Karnataka
- Computer Science
- C++
- Machine learning
- Health insurance
- Paid time off
Custom Software Engineer
Accenture —Bengaluru, Karnataka
- Full-time
- Analysis skills
- C++
- Bachelor's degree
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
AI Engineer II / AI Engineer III
KlearNow.ai —Gurugram, Haryana
- Full-time
- SQL
- Math
- Machine learning
Quick apply
Senior Software Engineer I - AI
Cvent —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Computer Science
- System design
- Java
Data Analytics
Mercedes-Benz Group AG —Bengaluru, Karnataka
- Computer Science
- Master's degree
- SQL
22h
Generative AI Lead or Engineer
Tata Consultancy Services —Bengaluru, Karnataka
- Master's degree
- C++
- Bachelor's degree
Vice President of Engineering
Ocrolus —Remote
- Remote
- System design
- AWS
- AI
3d
Software Development Engineer - 3
Locus.sh —Bengaluru, Karnataka
- ₹5,000 a year
- Full-time
- Azure
- Java
- Master's degree
Principal Engineer - FPGA Video Solutions
Microchip Technology —Hyderabad, Telangana
- Full-time
- System design
- Master's degree
- Bachelor's degree
Senior Data Engineer
FNZ —Pune, Maharashtra
- Full-time
- Azure
- Computer Science
- Windows
Principal Engineer, Design Verification Engineering
Analog Devices —Bengaluru, Karnataka
- Full-time
- Master's degree
- C++
- Bachelor's degree
Staff Engineer
Locus.sh —Bengaluru, Karnataka
- ₹5,000 a year
- Full-time
- Java
- Master's degree
- Databases

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

Lead Generation Specialist jobs in Bengaluru, Karnataka

Machine Learning Engineer jobs in Bengaluru, Karnataka

System Engineer jobs in Bengaluru, Karnataka

Ai Ml Engineer jobs in Hyderabad, Telangana

Design Verification Engineer jobs in Bengaluru, Karnataka

Data Engineer jobs in Pune, Maharashtra

Staff Engineer jobs in Bengaluru, Karnataka

Senior Software Engineer jobs in Bengaluru, Karnataka

Ai Ml Engineer jobs in Bengaluru, Karnataka

Ai Ml Engineer jobs in Gurugram, Haryana

Principal Software Engineer jobs in Hyderabad, Telangana

Machine Learning Engineer jobs in Pune, Maharashtra

Medical Billing, Team Lead jobs in Coimbatore, Tamil Nadu

Lead Generation Specialist jobs in Telangana

Work From Home Lead Generation jobs in Janakpuri, Delhi, Delhi

Lead Generation Specialist jobs in Ghaziabad, Uttar Pradesh

Lead Generation Specialist jobs in Remote

Lead Generation Specialist jobs in Indore, Madhya Pradesh

Machine Learning Engineer jobs in Visakhapatnam, Andhra Pradesh

Machine Learning Engineer jobs in Kanniyakumari, Tamil Nadu

Machine Learning Engineer

Cognite - AI for Industry
Bengaluru, Karnataka

Quick apply

Job details

10 days ago

Qualifications

TensorFlow
Computer science
Image processing
Azure
Computer Science
Software Engineering
PyTorch
Computer vision
Data structures
Master's degree
Databases
SQL
Pandas
AWS
Docker
Bachelor's degree
Machine learning
REST
Natural language processing
APIs
Linux
JSON
Apache
Data science
Flask
gRPC
Python
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 Machine Learning Engineer, you will be a key contributor to building the models and pipelines that power our industrial contextualization platform. Working closely with senior and staff-level engineers, you will focus on execution—transforming research prototypes into high-performance, real-time applications and building the infrastructure that supports them.

This is an engineering-first role. We seek hands-on builders who write production-grade code, understand system design, and tackle complex infrastructure, treating ML models as software components in a large industrial architecture—not pure data scientists building isolated models.

How you'll demonstrate Ownership

You love writing clean, readable code and seeing it work. You are deeply curious about how complex ML systems operate in the real world and are passionate about turning raw data into robust, reliable pipelines.
You don't just write research scripts; you want to build durable software. You know how to take a well-defined technical plan, execute it efficiently, and ask the right questions when you hit roadblocks. You prioritize building things the right way the first time over quick, fragile hacks.
You are eager to absorb new paradigms in MLOps, containerization, and model deployment, applying feedback rapidly to improve your craft.

The Impact you bring to Cognite

Key Responsibilities

Build, test, and maintain robust data pipelines for large-scale industrial datasets.
Assist in deploying data science prototypes to production.
Write high-quality, testable Python code, primarily creating RESTful/gRPC APIs for ML capabilities.
Containerize applications (Docker) and navigate Linux to handle massive volumes of unstructured industrial data.
Run experiments, fine-tune existing foundational models (NLP, Vision-Language), and evaluate ML libraries to enhance document parsing and entity matching.
Write rigorous unit/integration tests and monitor deployed models for drift and performance.
Collaborate closely with senior staff (engineers, data scientists, product managers) to deliver features on the technical roadmap.

Required Skills and Qualifications

Bachelor's or Master's degree in Computer Science, Data Science, Software Engineering, or a related field.
3–6 years of industry experience in software engineering with a strong focus on machine learning, or vice versa.
Strong programming skills in Python, with a proven ability to write clean, modular, and testable code.
Solid hands-on experience with frameworks like PyTorch, TensorFlow, Hugging Face, or LangChain.
Experience working with large datasets, writing complex SQL queries, and hands-on familiarity with data processing libraries or frameworks (e.g., PySpark, Pandas at scale, or Dask)
Familiarity with MLOps basics, containerization (Docker), Linux command-line tools, and fundamental cloud services (AWS, Azure, or GCP).
Solid understanding of core computer science fundamentals, data structures, and algorithms.

What Sets you Role Apart

The ability to take a well-defined technical problem or architecture plan from a principal engineer and write highly efficient, bug-free code to solve it.
A rapid trajectory in absorbing new paradigms (like vector databases or agentic workflows) and efficiently applying them to massive volumes of real-world industrial data without crashing the system.
A commitment to treating ML code like production software, never skipping the tests or the documentation.

Preferred Qualifications / Good to Haves

Academic or early industry experience with Vision-Language Models (VLMs) or Computer Vision (e.g., document layout analysis).
Hands-on familiarity with basic RAG pipelines and Vector Databases (e.g., Pinecone, Milvus, Qdrant). Exposure to agentic frameworks (e.g., LangGraph).
Exposure to modern columnar data (e.g., Parquet) or data lakes (e.g., Delta Lake, Apache Iceberg). Understand efficient querying/chunking of large unstructured data for ML.
Experience with highly unstructured data, including text and JSON extraction from messy PDFs using OCR. OT dataset exposure is a plus.
Experience serving models via backend web frameworks (FastAPI/Flask). Comfortable troubleshooting Linux permissions, fonts, and dependencies.

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

Machine Learning Engineer

Embedded ML Engineer – Edge Accelerator

Staff Engineer, Systems Design Engineering

Sr. Machine Learning Engineer

Staff Engineer, Design Verification Engineering

Silicon AI/ML DFT Engineer, Google Cloud

Machine learning and AI Engineer

Edge AI Systems Engineer

Custom Software Engineer

Senior Machine Learning Engineer, Synthetic Data & Document Understanding

AI Engineer II / AI Engineer III

Senior Software Engineer I - AI

Data Analytics

Generative AI Lead or Engineer

Vice President of Engineering

Software Development Engineer - 3

Principal Engineer - FPGA Video Solutions

Senior Data Engineer

Principal Engineer, Design Verification Engineering

Staff Engineer