ML Engineer
Job Description:
- Proficiency with python and the python ML tool kit along with DL frameworks
- Experience with working on end to end solutions and comfortable with cloud based ML-Ops pipelines
- Experience fine-tuning deep learning models including LLMs
- Experience with GPUs and understanding of balancing costs at both training and inference
- Comfortable in deploying end to end data science focused solutions with challenging data sets
- Proficiency/experience with ML deployment strategies, micro services and infrastructure
- ML-OPS experience with setting up CI/CD pipelines, feature engineering etls, designing feature stores and understanding mechanisms of deployment across various environments
- Experience in translating ML based outcomes to business-digestible insights
Key Skills :
Company Profile
Forget what you think you know about professional services. We go beyond what’s expected and help others do the same. Client is the U.S. member firm , one of the world’s leading independent audit, tax and advisory firms. That means our network has more than 60,000 professionals in more than 135 countries who are ready to help public and private organizations of all sizes take on today’s challenges. But what sets us apart isn’t just what we do – it’s how we do it. Here, we believe in making business more personal and building trust into every result. We’re collaborators – obsessed with quality and ready for anything – who understand the value of strong relationships. It’s how we challenge the expectations of business and empower our people and clients to do it, too. One thing we won’t do?
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- Interested candidates are requested to apply for this job.
- Recruiters will evaluate your candidature and will get in touch with you.