Software Engineer (AI/ML/CV)
Eagle Eye Networks · Bengaluru · onsite · Posted 22d ago
Undisclosed2–4 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
- Bachelors or Masters Degree in Computer Science or related disciplines.
- 2 - 4 years of experience required.
- At least 1 year of experience with LLMs/VLMs including their architecture, training, datasets, and knowledge of SOTA models and frameworks to leverage these models.
- Strong theoretical and prior experience of CNNs and Transformers including their usage in at least one successful product deployment
- Fluency in Python Programming.
- Working knowledge of C/C++ desirable.
- Familiarity with ML Frameworks like Pytorch, TensorFlow etc.
- Familiarity with MLOps, including Model Quantization, usage of annotation tools and model versioning tools like MLFlow.
- Strong background in Mathematics and Statistics.
- Sharp problem solving skills and ability to resolve ambiguous requirements
- Familiarity with Dockers.
- Handle all aspects of data filtering and agglomeration.
- Collaborate with other ML Engineers to brainstorm on best practices, updates on SOTA models.
- Handle all translation of problem requirements to choice of architecture, codebase, and datasets. Enhancements of in-house/available open-source repositories to meet problem requirements.
- Work with data labeling teams to handle annotation metadata for your datasets.
- Handle all aspects of the Machine Learning cycle including data preprocessing, augmentations, training, model and experiment versioning, ablation studies and benchmarking.
Summary
In this role, you will take end-to-end ownership of converting complex problem statements into scalable, state-of-the-art machine learning solutions. Working at the intersection of data engineering, research, and deployment, you will harness LLMs, VLMs, and Transformer architectures to build, optimize, and version high-impact models alongside a collaborative team of ML engineers.
In this role, you will take end-to-end ownership of converting complex problem statements into scalable, state-of-the-art machine learning solutions. Working at the intersection of data engineering, research, and deployment, you will harness LLMs, VLMs, and Transformer architectures to build, optimize, and version high-impact models alongside a collaborative team of ML engineers.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
UsageOpen sourceC plus plusTrainingdeploymentPythonResearchArchitectureComputer ScienceMachine Learning
About Eagle Eye Networks
Eagle Eye Networks
IT Services & Consulting
201-500
employees
2012
14 years old
Bangalore / Bengaluru, Karnataka
India
₹12.4L PA avg
Avg at Eagle Eye Networks
About
Leads in cloud video surveillance, providing AI-driven analytics to enhance security and operational efficiency for businesses globally.
Industries
AnalyticsCloud ComputingCyber SecurityInformation TechnologySaaSSecurity
Employee ratings
10 reviews
2.8/ 5
Culture
3.0
Career growth
2.7
Work-life
3.2
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