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krish technolabs
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Machine Learning Engineer

Machine Learning Engineer

krish technolabs

3 - 6 years

3 - 6 Lacs

Ahmedabad

Posted:9 hours ago| Platform: GlassDoor logo

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Skills Required

learning ml design development training deployment ai software stack model microservices python pytorch tensorflow mlflow docker fastapi github gcp vertex aws recognition

Work Mode

On-site

Job Type

Part Time

Job Description

Your Role

The ML Engineer will be responsible for the design, development, training, and deployment of machine learning models. This role ensures that AI capabilities are production-grade, robust, and well-integrated with the company’s software stack.

What You’ll Be Doing

Design, build, and train machine learning models using production-grade frameworks
Translate AI product requirements into scalable model architectures
Package models as APIs/microservices for product integration
Build CI/CD pipelines for automated model training and release
Evaluate model performance and handle versioning

What We’d Love To See

Languages: Python, SQL
Frameworks: PyTorch, TensorFlow, Hugging Face Transformers
3–6 years of hands-on experience in applied machine learning and deploying models into production

It’d Be Great If You Had

Tools: MLflow, Docker, FastAPI, GitHub Actions
Deployment platforms: GCP Vertex AI, AWS SageMaker

What You Can Expect

Opportunity to work with a diverse and well-experienced team.
To be part of the team who creates phenomenal growth stories for worlds renowned brands.
Professional Growth Roadmap.
Real-time mentorship and guidance from the leaders.
A workplace that invests in your career, cares for you and is fun & engaging.
You can be yourself and do amazing work.

Benefits

Interested in joining our team of artists, geeks, strategizers, and writers? If you’re a passionate, talented individual, we want to hear from you.

Competitive salary
Flexible work-life balance with a 5-day working Policy
Paid time off
Learning & Development bonus
Health coverage
Rewards & Recognitions
Event & Festivals celebrations
Ongoing training programs
Onsite opportunities
Recognition opportunities for open-source contributions

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Machine Learning Engineer