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Avia Technologies
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AI/ML Engineer

AI/ML Engineer

Avia Technologies

3 years

0 Lacs

bengaluru karnataka india

Posted:10 hours ago| Platform:

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Skills Required

ai ml learning design prototyping latency inference data preprocessing engineering model training versioning rest monitoring research code quantization drift remediation statistics software python testing optimization kubernetes orchestration mlflow airflow vision collaborative compensation docker tensorflow aws pytorch

Work Mode

On-site

Job Type

Full Time

Job Description

Machine Learning Engineer

Location:

BangaloreRole & Responsibilities

Design, implement, and productionize ML models and pipelines from prototyping to low-latency inference in production.
Build robust data preprocessing, feature engineering, and model training workflows; implement reproducible training and versioning practices.
Develop scalable model serving solutions (REST/gRPC) and integrate models with backend services and monitoring systems.
Collaborate with data scientists and product teams to translate research into reliable, well-tested production code and measurable business metrics.
Optimize models for latency, throughput, and cost (quantization, batching, caching, distributed inference) and implement CI/CD for ML artifacts.
Establish observability and alerting for model performance, data drift, and production health; run root-cause analyses and remediation plans.

Skills & Qualifications

Must-Have

Bachelor’s or Master’s degree in Computer Science, Engineering, statistics, or equivalent practical experience.
3+ years of experience deploying ML models to production and maintaining inference services in a production environment.
Strong software engineering skills with Python and ML libraries.
Hands-on with deep learning frameworks and model development.
Experience containerizing applications and deploying to cloud platforms.
Familiarity with model monitoring, A/B testing, and performance optimization for production workloads.

Preferred

Experience with Kubernetes for orchestration and scalable inference.
Practical knowledge of MLOps tools (MLflow, Airflow, or similar).
Background in NLP, computer vision, or large language model integration.

Benefits & Culture Highlights

Opportunity to work on end-to-end ML problems and ship models that impact customers at scale.
Collaborative, engineering-first culture with mentorship and hands-on ownership.
Competitive compensation and career growth for high-impact contributors.

Skills: docker,python,tensorflow,ml,scikit-learn,aws,pytorch,artificial intelligence

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