Machine Learning Engineer
Cognite - AI for Industry —Bengaluru, Karnataka
- Computer science
- Azure
- Computer Science
Quick apply
10d
Analog EDA Lead Engineer
Texas Instruments —Bengaluru, Karnataka
- Management
- CAD
- Master's degree
11d
Staff Machine Learning Engineer
Bazaarvoice —Bengaluru, Karnataka
- Hybrid work
- AWS
- Machine learning
- AI
Quick apply
Data Engineer
Cisco Systems —Bengaluru, Karnataka
- Full-time
- Master's degree
- SQL
- Machine learning
14h
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
Senior Software Engineer I - AI
Cvent —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Computer Science
- System design
- Java
Senior Machine Learning Engineer
Cognite - AI for Industry —Bengaluru, Karnataka
- Azure
- Computer Science
- Master's degree
Quick apply
11d
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
Staff Engineer
Locus.sh —Bengaluru, Karnataka
- ₹5,000 a year
- Full-time
- Java
- Master's degree
- Databases
Senior Backend Engineer- AI Agents
Level AI —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Azure
- System design
- Databases
- Health insurance
Quick apply
Embedded Software Engineer – Edge AI Inference
Eurth Techtronics —Hyderabad, Telangana
- Full-time
- Master's degree
- C++
- Bachelor's degree
Lead Software Engineer - AI Agents
Level AI —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Azure
- System design
- Databases
- Health insurance
Quick apply
Senior Software Engineer, AI/ML
ValGenesis —Chennai, Tamil Nadu
- Full-time
- Computer Science
- DevOps
- Machine learning
Quick apply
Lead AI or ML Engineer - Python, Typescript, React, Agentic Model
Optum —Hyderabad, Telangana
- Full-time
- APIs
- AI
- Communication skills
- Health insurance
4d
Sr Engineer: LPAI Architecture and Systems Engineer
Qualcomm —Hyderabad, Telangana
- Computer science
- Doctoral degree
- Computer Science
India Template
Cognite - AI for Industry —Bengaluru, Karnataka
- DevOps
- Master's degree
- APIs
Quick apply
2d

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

Data Engineer jobs in Bengaluru, Karnataka

Lead Generation Specialist jobs in Bengaluru, Karnataka

Machine Learning Engineer jobs in Bengaluru, Karnataka

Senior System Engineer jobs in Hyderabad, Telangana

Technical Lead jobs in Bengaluru, Karnataka

Design Verification Engineer jobs in Bengaluru, Karnataka

Senior Ai Ml Engineer jobs in Hyderabad, Telangana

Ai Ml Engineer jobs in Hyderabad, Telangana

Senior Software Engineer jobs in Bengaluru, Karnataka

Ai Ml Engineer jobs in Bengaluru, Karnataka

Staff Engineer jobs in Bengaluru, Karnataka

Software Engineer jobs in Hyderabad, Telangana

Back End Developer jobs in Bengaluru, Karnataka

Software Engineer jobs in Bengaluru, Karnataka

Data Engineer jobs in Kothrud, Pune, Maharashtra

Data Analytics With One Year Experience jobs in Chennai, Tamil Nadu

Data Engineer jobs in Goa

Technical Support Engineer, Cognizant jobs in Hyderabad, Telangana

Data Engineer jobs in Surat, Gujarat

Data 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

Analog EDA Lead Engineer

Staff Machine Learning Engineer

Data Engineer

Staff Engineer, Design Verification Engineering

Silicon AI/ML DFT Engineer, Google Cloud

Senior Software Engineer I - AI

Senior Machine Learning Engineer

Data Analytics

Generative AI Lead or Engineer

Vice President of Engineering

Software Development Engineer - 3

Staff Engineer

Senior Backend Engineer- AI Agents

Embedded Software Engineer – Edge AI Inference

Lead Software Engineer - AI Agents

Senior Software Engineer, AI/ML

Lead AI or ML Engineer - Python, Typescript, React, Agentic Model

Sr Engineer: LPAI Architecture and Systems Engineer

India Template