Bengaluru Karnataka Senior software engineer ii data engineering Jobs – 116 Open Jobs Today

Senior Software Engineer -I (AI/ML)
Geekyants —Bengaluru, Karnataka
- Azure
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- Master's degree
MGR II R&D/PRODUCT DVL ENGINEERING - SI Simulation
TE Connectivity —Bengaluru, Karnataka
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Outlook
Product Owner II
Experity, Inc —Bengaluru, Karnataka
- Full-time
- Computer Science
- Bachelor's degree
- Agile
Engineer II (UAV Pilot)
ideaForge —Bengaluru, Karnataka
- Full-time
- Bachelor's degree
- Communication skills
Tech Lead
ZEISS Group —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- Master's degree
1d
Engineering Manager – Salesforce & GTM Systems
DocuSign —Bengaluru, Karnataka
- Remote
- Computer Science
- Salesforce
- SQL
13d
Sr. Lead Surveillance Engineer
Quest Global —Bengaluru, Karnataka
- Full-time
- Microsoft Powerpoint
- Analysis skills
- Bachelor's degree
Quick apply
Senior Signal Processing Engineer
Texas Instruments —Bengaluru, Karnataka
- Master's degree
- Electrical experience
- Bachelor's degree
Lead II-Software Security Tester (Penetration, Application Security, Vulnerability, OWASP)- TVM/BLR
UST —Bengaluru, Karnataka
- DevOps
- Mentoring
- APIs
Quick apply
Security and Compliance Engineer
Hevo Data —Bengaluru, Karnataka
- Full-time
- Azure
- AWS
- Communication skills
Senior Design Verification Engineer
Texas Instruments —Bengaluru, Karnataka
- B.Sc
- Analysis skills
- Bachelor's degree
Sr Eng, V&V
Baxter —Bengaluru, Karnataka
- Computer Science
- English
- Research
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BIE Manager, Retail Business Service
ADCI - BLR 14 SEZ —Bengaluru, Karnataka
- Full-time
- SQL
- AWS
- Machine learning
Mechanical and Piping WSDL
Quest Global —Bengaluru, Karnataka
- Master's degree
- Project management
- Bachelor's degree
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Senior Software Engineer - Salesforce
Okta —Bengaluru, Karnataka
- Sales
- Salesforce
- DevOps
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Sr, Product Manager II - Gantt View (Hybrid, Bangalore)
Smartsheet —Bengaluru, Karnataka
- PMP
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Senior Software Engineer -I (AI/ML)

Geekyants -
Bengaluru, Karnataka

Apply Now

Job details

Qualifications

TensorFlow
Azure
Node.js
Law
Computer Science
React
Kubernetes
Business analysis
Git
Master's degree
OOP
Flutter
Docker
Bachelor's degree
PostgreSQL
SDKs
Angular
GitHub
APIs
Data science
AI
Communication skills
Python
React Native
Data Science
Design patterns

Full job description

GeekyAnts India Pvt Ltd

Services

251 - 500

Employees

4.5

Reviews

Bengaluru, Karnataka

Location

About company

GeekyAnts is a design and development studio that specializes in building solutions for web and mobile that drive innovation and transform industries and lives. They hold expertise in state-of-the-art technologies like React, React Native, Flutter, Angular, Vue, NodeJS, Python, Svelte and more.

GeekyAnts has worked with around 500+ clients all across the globe, delivering tailored solutions to a wide array of industries like Healthcare, Finance, Education, Banking, Gaming, Manufacturing, Real Estate and more. They are trusted tech partners of some of the world's top corporate giants and have helped small to mid-sized companies realize their vision and transform digitally. They are also the registered service suppliers for Google LLC since 2017.

They provide services ranging from Web & Mobile Development, UI/UX design, Business Analysis, Product Management, DevOps, QA, API Development, Delivery & Support and more.

In addition to that, GeekyAnts is the brains behind React Native's most famous UI library; NativeBase (15000+ GitHub Stars), BuilderX, Vue Native, Flutter Starter, apibeats and hold numerous other Open Source contributions to their name. GeekyAnts has offices in India (Bangalore) and the UK (London)

10 vacancy

Senior Software Engineer -I (AI/ML)

Posted 6 months ago

Not Disclosed

Salary

5-7 years

Experience

Bengaluru, Karnataka

Location

Job Description

We’re hiring a Senior AI/ML Engineer to lead the design, optimization, and deployment of advanced AI systems. This role goes beyond integration — you’ll architect, fine-tune, and scale LLMs, vision, and speech models, while guiding junior engineers and influencing the AI roadmap for GeekyAnts. You’ll work across core ML/DL, RAG systems, AI in Robotics/IoT, and inference optimization, ensuring production-grade reliability, explainability, and innovation.

Key Responsibilities

Architecture & System Design

Architect and deploy end-to-end AI systems — from data pipelines to model serving.
Design modular SDKs for multi-provider AI integration (OpenAI, Claude, Gemini, LLaMA).
Lead decision-making on cloud vs self-hosted LLM deployment (Ollama, vLLM, TGI).
Guide infrastructure design for scalability, observability, and cost efficiency using GPU clusters, Ray, or KServe.
Collaborate with backend, MLOps, and infra teams to ensure high availability and low latency across AI workloads.

Core ML / DL Development

Train and fine-tune models (CNN, RNN, Transformers) across text, vision, and speech domains.
Implement LoRA / PEFT fine-tuning for custom LLMs, embedding models, and instruction-tuned variants.
Work with open-source and proprietary model repositories (Hugging Face, Kaggle, Hugging Face Spaces).
Optimize model architectures for inference performance, quantization, and memory efficiency.
Conduct A/B testing, cross-validation, and human evaluation on model outputs.
Build internal evaluation benchmarks and dataset management pipelines for consistent model scoring and comparison.

Data & Dataset Engineering

Curate, clean, and version-control datasets for text, image, and audio modalities.
Build pipelines for data labelling, augmentation, and validation using Airflow / Prefect.
Create and manage feature stores, embedding repositories, and dataset registries.
Leverage open datasets (e.g., Common Crawl, LAION, OpenImages, LibriSpeech) and integrate custom enterprise datasets.
Ensure data governance, bias checks, and PII anonymization using Presidio or custom filters.

AI Ops & Deployment

Automate model workflows with MLflow, Kubeflow, or Vertex AI for experiment tracking and versioning.
Lead model deployment with vLLM, TGI, or TorchServe, ensuring optimized GPU/TPU utilization.
Set up continuous evaluation pipelines for model drift, bias, and quality decay using EvidentlyAI and Prometheus.
Leverage open datasets (e.g., Common Crawl, LAION, OpenImages, LibriSpeech) and integrate custom enterprise datasets.
Drive adoption of model registries and model cards for transparency and reproducibility.

Team & Technical Leadership

Mentor and review the work of AI/ML Engineers I & II.
Collaborate with product, design, and research teams to translate business needs into AI roadmaps.
Lead POCs and experiments for emerging AI verticals (e.g., multimodal, video, robotics, IoT intelligence).
Present internal demos, AI reports, and architectural documentation to leadership and clients

Core Skills Required

Programming: Expert-level Python, with a deep understanding of OOP, async, and design patterns
Frameworks: PyTorch, TensorFlow, Hugging Face Transformers, LangChain,LlamaIndex.
Model Ops: MLflow, KServe, TorchServe, vLLM, TGI.
Data Stack: Airflow / Prefect, pgvector, Milvus, Pinecone, FOSS, PostgreSQL.
Infra: Docker, Kubernetes, Ray, GPU servers, Cloud AI (Vertex AI, Bedrock, Azure).
Evaluation & Metrics: Familiarity with BLEU, ROUGE, and latency/throughput metrics for AI models.
Security: Secure Vaults, Microsoft Presidio, Fairlearn / AIF360 awareness for data and bias governance.

Good-to-Have Skills

Experience with distributed training, quantization, and mixed-precision optimization.
Experience with model compression, distillation, or low-rank adaptation for efficiency.
Contribution to open-source AI frameworks or Hugging Face Spaces.
Research exposure in LLM alignment, prompt optimization, or multimodal reasoning.
Understanding of AI cost governance, observability, and MLOps automation.

Soft Skills

Leadership and mentorship mindset with strong communication skills.
Strategic thinker with the ability to drive architectural decisions.
Ownership-driven approach to solving complex AI problems.
Strong documentation and cross-team collaboration habits.

What You’ll Build

Enterprise-scale RAG and Agentic Systems across domains and modalities.
Self-hosted AI stack for multi-modal intelligence (text, image, voice).
Reusable AI SDKs, dataset registries, and model inference frameworks powering the GeekyAnts AI ecosystem.
Open-source contributions and internal model spaces that expand GeekyAnts’ AIfootprint.

Educational Qualifications

Educational Background

Bachelor’s or Master’s in Computer Science, Data Science, or related fields.
Advanced certifications or research exposure in AI/ML/DL is an added advantage.

Rounds description

Communication Assessment Round

This will be an automated video call.

Please make yourself comfortable, it’s going to take approx 30 mins.

Please be ready with your resume.
Make sure you have a stable internet connection.
Evaluation criteria would be past experience and Design skills & knowledge

All the best.

HR Discussion Round

Apply Now

Refine Your Search

senior software engineer ii data engineering jobs in bengaluru karnataka

Senior Software Engineer -I (AI/ML)

MGR II R&D/PRODUCT DVL ENGINEERING - SI Simulation

Product Owner II

Engineer II (UAV Pilot)

Tech Lead

Engineering Manager – Salesforce & GTM Systems

Sr. Lead Surveillance Engineer

Senior Signal Processing Engineer

Lead II-Software Security Tester (Penetration, Application Security, Vulnerability, OWASP)- TVM/BLR

Security and Compliance Engineer

Senior Design Verification Engineer

Sr Eng, V&V

BIE Manager, Retail Business Service

Mechanical and Piping WSDL

Senior Software Engineer - Salesforce

Sr, Product Manager II - Gantt View (Hybrid, Bangalore)

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