Machine Learning Engineer
Location
Seniority
Tech stacks
"Senior ML Engineer at TrueFoundry - Remote role"
TrueFoundry offers Data Scientists and ML Engineers a rapid framework for Post Model Pipeline, delivering monitored endpoints in just 15 minutes using advanced DevOps practices, accelerating innovation while ensuring efficiency and reliability in machine learning deployment.
Job Roles & Responsibilities:
- Develop scalable ML models and deploy them using Python.
- Collaborate with Data Scientists to transform insights into actionable production-grade models.
- Implement best DevOps practices to ensure rapid deployment of monitored model endpoints.
- Optimize post-model pipelines using TrueFoundry's framework for efficiency.
- Lead troubleshooting, debugging, and continuous improvement of ML systems.
- Stay updated with the latest AI/ML technologies and integrate them where necessary.
- Mentor junior engineers and contribute to team growth.
- Work closely with cross-functional teams to align AI solutions with company goals.
Cultural Expectations:
- Embrace fast-paced, iterative development and deployment of ML models
- Communicate effectively within multidisciplinary teams
- Display innovation and creativity in problem-solving
- Align with a culture emphasizing DevOps best practices
- Exhibit professionalism and reliability in delivering upon project commitments
Hiring Process:
R1: Profile Shortlisting
R2: Tech interview-DSA interview
R3: Tech interview-fine-tuning interview
R4: Tech interview-ML deployment interview (model deployment)
R5: Culture fit
About Flexiple
Flexiple Service
How does Flexiple work?
Company culture
Build for happiness, not external benchmarks
Unlike the popular narrative of successful tech startups, we bootstrapped our way. This has meant that we have had to deliver value to our customers from Day 1. Our growth has been a consequence of their love for us. Not just that, it also means that we don't have any external benchmarks of success to constantly adhere to. We build for happiness. This doesn't mean that we aren't ambitious, just that our ambitions don't have to be achieved at the cost of our happiness.
Learn by doing
Delegation is great but can be dangerous when one has no clue what they are delegating. So, each of us enjoys the process of learning new things we initially have ZERO knowledge in! This is done by doing and not just by reading. We accept that we will start by being quite shitty at it. The goal is just to be less shitty each day, till suddenly one day we realize that we are actually quite good at it :)
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