bengaluru karnataka researcher ai computer vision Jobs – 38 Open Jobs Today

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- Email
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Director of AI/ML Research & Development
SatSure Analytics India —Bengaluru, Karnataka
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- Computer Science
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Lead Artificial Intelligence
Ideapoke —Bengaluru, Karnataka
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- Doctoral degree
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- Java
Lead Senior Research Engineer, XR ML systems
Qualcomm —Bengaluru, Karnataka
- Doctoral degree
- Computer Science
- Engineering
Technical Lead – Algorithm Developer
Applied Materials —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Computer Science
- Java
- Work from home
14d
Software Machine Learning Engineer
Teradyne —Bengaluru, Karnataka
- Computer Science
- B.Sc
- Master's degree
Staff Software Engineer (AI/ML/ SaaS)
ABBYY —Bengaluru, Karnataka
- Hybrid work
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- Paid time off
Threat Intelligence Lead
cloudsek —Bengaluru, Karnataka
- Computer Science
- Research
- Master's degree
- Flexible schedule
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AI Engineer
Skylark Drones —Bengaluru, Karnataka
- Full-time
- Machine learning
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Quick apply
Director Software Engineering
Epsilon —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Azure
- Doctoral degree
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Director - Artificial Intelligence
iSOCRATES —Bengaluru, Karnataka
- Azure
- Doctoral degree
- Master's degree
Quick apply
Sr. Data Scientist
Ideapoke —Bengaluru, Karnataka
- Full-time
- Doctoral degree
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Principal Machine Learning Engineer
Ema —Bengaluru, Karnataka
- Full-time
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MTS 2, Software Engineer
eBay Inc. —Bengaluru, Karnataka
- Full-time
- Doctoral degree
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Senior Software Engineer
Fujitsu —Bengaluru, Karnataka
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Principal Engineer
Arm —Bengaluru, Karnataka
- Email
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MLOps Engineer
Wabtec —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- Master's degree
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Staff Core AI Engineer

Calix -
Bengaluru, Karnataka

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Job details

Full-time

Qualifications

TensorFlow
CI/CD
Image processing
Azure
Go
Law
Computer Science
Kubernetes
Software deployment
DevOps
R
Test automation
NoSQL
Git
English
Java
Master's degree
Microservices
SQL
Pandas
AWS
C++
Docker
C
Bachelor's degree
Machine learning
Continuous integration
Deep learning
REST
Natural language processing
APIs
ETL
Predictive analytics
Linux
Keras
AI
Communication skills
Python

Full job description

Calix provides the cloud, software platforms, systems and services required for communications service providers to simplify their businesses, excite their subscribers and grow their value.

Calix is looking for an innovative and experienced Staff Core AI Engineer to develop and deploy end-to-end Gen AI applications. In this role, you will work on developing advanced AI solutions from model development to deployment in production environment. You will work on building scalable, high-performance AI systems for various applications, including Natural language processing (NLP), predictive analysis, Knowledge management, etc. Your work will bridge the research and production turning cutting edge AI searches into impactful solutions for real-world problems. You will be a key player in driving the development, working alongside machine learning engineers, AI researchers, and data engineers to bring these models into production.

Key Responsibilities:

Design and develop production software components.
Develop efficient data ingestion, feature engineering and data pipelines at production scale.
Collaborate with data engineers to preprocess and manage large datasets, ensuring that data pipelines are efficient and optimized for model training.
Automate collection and visualization of data, model, and operational metrics.
Implement and manage MLOps pipelines to automate model deployment, monitoring, and maintenance. Deploy models in scalable production environments using cloud platforms like AWS, GCP, or Azure.
Work with cross-functional teams, including software engineers and data scientists, to design system architectures that integrate AI models into existing or new platforms.
Extend, harden, and scale data processing and ML components.
Perform data ingestion, data processing and feature engineering tasks.
System integration to bring AI features to other applications and platforms
Build and deploy microservices for AI features.
Operate and administration of production DB: SQL, NoSQL, Vector and Graph
Troubleshoot and support production pipeline.
Working with ops team for end-to-end deployment of data and ML pipelines.

Qualifications:

Bachelor’s or master’s degree in computer science or a related field (or equivalent work experience)
8+ years of hands-on experience in AI/ML engineering, building and deploying machine learning models in production environments
Proven track record in developing end-to-end AI applications across different domains, such as NLP, computer vision, or predictive modeling
Solid foundation on data structure and algorithms
Proficient in deep learning frameworks such as TensorFlow, PyTorch, or Keras
Proficient in Python and one other language such as Java, Go, C/C++, R, SQL
Experience with SQL, Pandas and exposure to various SQL and noSQL DB
Solid understanding of data engineering and experience working with large datasets and building ETL pipelines
Experience automating unit, system and production testing
Experience on data processing: ETL, feature engineering, data cleaning
Proficiency developing in Linux environments with git
Experience with cloud platforms (AWS, GCP, Azure) and deploying models in containerized environments using Docker and Kubernetes
Experience developing microservices and REST API
Tools: Linux, git, Jupyter, IDE, ML frameworks: Tensorflow, Pytorch, Keras, Scikit-learn, Kubeflow, MLflow
Excellent English communication skills (written and verbal)

Preferred Skills:

Experience with multimodal AI systems (text, image, video).
Knowledge of DevOps principles and CI/CD pipelines for automated testing and deployment.
Familiarity with natural language understanding (NLU), automatic speech recognition (ASR), and dialog systems.
Contributions to open-source AI projects or publications in AI/ML conferences and journals.
GenAI: RAG pipeline components, LLM pre-training, alignment, fine tuning, different types of LLM and their applications.

Location:

India – (Flexible hybrid work model - work from Bangalore office for 20 days in a quarter)

About Us

PLEASE NOTE: All emails from Calix will come from a '@calix.com' email address. Please verify and confirm any communication from Calix prior to disclosing any personal or financial information. If you receive a communication that you think may not be from Calix, please report it to us at [email protected].

The Calix platform enables Communication Service Providers (CSPs) of all sizes to transform and future-proof their businesses. Through real-time data, automation, and actionable insights delivered via Calix One — our cloud-first, AI-powered platform — CSPs can simplify operations, collapse cost, and accelerate innovation. Calix One brings together the automation of everything and the experience of one, empowering customers to deliver differentiated subscriber experiences while driving acquisition, loyalty, and revenue growth. This is the Calix mission: to enable CSPs of all sizes to simplify, innovate, and grow, strengthening both their businesses and the communities they serve.

We’re at the forefront of a once‑in‑a‑generation change in the broadband industry. Join us as we innovate, help our customers reach their potential, and connect underserved communities with unrivaled digital experiences.

If you are a person with a disability needing assistance with the application process please:

Email us at [email protected]; or
Call us at +1 (408) 514-3000.

Calix is a Drug Free Workplace.

Apply Now

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researcher ai computer vision jobs in bengaluru karnataka

Staff Core AI Engineer

Director of AI/ML Research & Development

Lead Artificial Intelligence

Lead Senior Research Engineer, XR ML systems

Technical Lead – Algorithm Developer

Software Machine Learning Engineer

Staff Software Engineer (AI/ML/ SaaS)

Threat Intelligence Lead

AI Engineer

Director Software Engineering

Director - Artificial Intelligence

Sr. Data Scientist

Principal Machine Learning Engineer

MTS 2, Software Engineer

Senior Software Engineer

Principal Engineer

MLOps Engineer

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