Karnataka Network systems operator Jobs – 129 Open Jobs Today

AI Engineer
SkanAI —Bengaluru, Karnataka
- Azure
- Computer Science
- Master's degree
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Engineer (Mechanical)
Astra Airtech Pvt Ltd - factory 1 —Bidrahalli, Bengaluru, Karnataka
- ₹12,000 - ₹15,000 a month
- Schematics
- CAD
- In-person
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Technical Lead
Spectro Cloud —Bengaluru, Karnataka
- Hybrid work
- Azure
- Computer Science
- Java
Risk Manager I, Relay Product Excellence
ADCI - Karnataka - A66 —Bengaluru, Karnataka
- Full-time
- Microsoft Excel
- Microsoft Access
- Microsoft Office
Specialist - Architecture
LTM —Bengaluru, Karnataka
- Azure
- Machine learning
- APIs
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3d
Head of Sales
Astrome Technologies —Bengaluru, Karnataka
- Full-time
- Engineering
- Master's degree
- Bachelor's degree
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Manager / Senior Manager - Sales (Space Technologies)
Astrome Technologies —Bengaluru, Karnataka
- Full-time
- Sales
- Engineering
- Master's degree
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Associate Director — Industry Intelligence & Benchmarking
Meesho —Bengaluru, Karnataka
- Full-time
- AI
Marketing Automation Administrator(Marketo)
Bazaarvoice —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Salesforce
- English
- APIs
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Platform Engineer
Ema —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- Databases
Product Marketing Manager
Locus.sh —Bengaluru, Karnataka
- Full-time
- Marketing
- Master's degree
- Bachelor's degree
Senior AOCS Engineer
ReOrbit —Bengaluru, Karnataka
- Hybrid work
- Laboratory experience
- Master's degree
- Analysis skills
Manager - Founder’s Office
cloudsek —Bengaluru, Karnataka
- Machine learning
- AI
- Communication skills
- Flexible schedule
- Food provided
Data Entry Operator/Computer Operator
Intellect Bizware Services Pvt. Ltd. —HBR Layout, Bengaluru, Karnataka
- ₹13,550.82 - ₹34,490.48 a month
- Part-time
- Microsoft Office
- Data entry
- Typing
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13d
Manager - Customer Marketing - IMBA - Marketing
Griffith Foods —Bengaluru, Karnataka
- B.Sc
- Master's degree
- Databases
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Google Adwords Specialist
Pin Click —Bengaluru, Karnataka
- ERP systems
Content Marketing Director
Finmo —Bengaluru, Karnataka
- Full-time
- AI
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AI Engineer

SkanAI
Bengaluru, Karnataka

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Job details

Qualifications

TensorFlow
Image processing
Azure
Data mining
Law
Computer Science
PyTorch
Data structures
Master's degree
SQL
Pandas
AWS
Bachelor's degree
Machine learning
Deep learning
Natural language processing
Cloud computing
Data science
AI
Python

Full job description

AI Engineer

About Skan AI

Be at the Forefront of the Agentic AI Revolution

At Skan AI, we are pioneering the context engine for human and agentic execution, bringing context from enterprise operators, systems, and processes to power how the world's largest organizations execute their most complex, mission-critical work.

Why Skan AI

We're in hyper-growth mode at exactly the right moment in history. As enterprises race to adopt agentic AI, we're uniquely positioned to deliver the clear signal they desperately need: a platform that trains and grounds AI Agents in trillions of real execution signals, enabling reliable, compliant automation of their most complex processes.

Backed by Dell Technologies Capital and other leading investors, we're the only company that can bridge the gap between AI's promise and enterprise reality, making us perfectly positioned to define the agentic era for modern enterprises.

Our diverse, collaborative team of 250+ innovators is solving category-defining challenges at the intersection of AI, process intelligence, and enterprise work. Diverse perspectives fuel breakthrough thinking, cross-functional collaboration is the norm, and our work directly transforms how Fortune 500 companies operate. We are shaping the future of work itself.

Who are we looking for

We are looking for an AI Engineer with exceptional problem-solving skills and a strong foundation in classical algorithms, data science, machine learning and deep learning to join our core Data Science team. You will design, build, and optimize AI/ML systems that analyze massive volumes of sequential event data captured from enterprise desktop activity, turning raw interaction streams into structured process understanding, variant analysis, and actionable operational insights.

Key Responsibilities

Tackle complex, open-ended problems where business processes must be reverse-engineered from noisy, incomplete, and high-volume event streams; there is no textbook answer

- you define the approach.
Design efficient algorithms for process discovery at scale, handling billions of events, millions of unique traces, and thousands of activity variants while maintaining sub-second query performance.
Design and implement models for mining, clustering, and classifying sequential activity data (event logs, user interaction sequences, clickstreams) at enterprise scale.
Build ML models to classify and label user activities from raw desktop observation data (screenshots, UI metadata, application events) using computer vision and NLP.
Train, evaluate, and deploy models including sequence-to-sequence architectures (Transformers, LSTMs, HMMs), graph neural networks and clustering algorithms for process pattern recognition.
Apply techniques from temporal data mining, e.g., sequential pattern mining, episode mining, and time-series analysis to extract insights from event streams.
Leverage LLMs and generative AI for intelligent summarization, anomaly explanation, and natural-language querying of process data.
Debug and reason through edge cases in complex data pipelines where subtle algorithmic errors can cascade into incorrect process maps affecting enterprise decisions.
Partner with product, UX, and customer-facing teams to translate business process challenges into well-defined algorithmic and ML problem statements.
Contribute to Skan's agentic AI capabilities, building models that not only discover inefficiencies but recommend and orchestrate automated actions.
Stay current with advances in AI. Research and experiment with state-of-the-art AI techniques to improve existing models and integrate cutting-edge techniques into production systems.

Qualifications & Skills

Required:

Bachelor's/Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field.
Exceptional problem-solving ability: You excel at breaking down ambiguous, complex problems into tractable sub-problems and designing clean algorithmic solutions.
Strong proficiency in Python and experience with PyTorch or TensorFlow, scikit-learn, pandas, and SQL.
Deep understanding of data structures, algorithms, and optimization techniques.
Experience with data engineering, feature extraction, and model evaluation.
Knowledge of deep learning techniques (CNNs, RNNs, Transformers, GANs, etc.).
Familiarity with graph algorithms and graph-based modeling (traversal, shortest path, community detection, graph neural networks).
Experience with LLMs and knowledge of multi-modal AI (text, image).

Nice to Have:

Strong performance in competitive programming, algorithmic challenges, or systems design interviews is a signal we value.
Familiarity with process mining concepts, event logs, process discovery algorithms, conformance checking, and variant analysis. Experience with PM4Py, ProM, or similar tools is a plus.
Knowledge of cloud computing (AWS, GCP, Azure) and MLOps tools.
Familiarity with agentic AI frameworks and LLM-based tool-use patterns (LangChain, function calling, RAG pipelines).

Quick apply

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network systems operator jobs in karnataka

AI Engineer

Engineer (Mechanical)

Technical Lead

Risk Manager I, Relay Product Excellence

Specialist - Architecture

Head of Sales

Manager / Senior Manager - Sales (Space Technologies)

Associate Director — Industry Intelligence & Benchmarking

Marketing Automation Administrator(Marketo)

Platform Engineer

Product Marketing Manager

Senior AOCS Engineer

Manager - Founder’s Office

Data Entry Operator/Computer Operator

Manager - Customer Marketing - IMBA - Marketing

Google Adwords Specialist

Content Marketing Director

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