Machine Learning Engineer - AI
India
Egnyte
22,000+ businesses trust Egnyte's secure content cloud to boost productivity, gain AI insights, and govern enterprise mission-critical content.Location: India, Remote EGNYTE YOUR CAREER. SPARK YOUR PASSION. Egnyte is a place where we spark opportunities for amazing people. We believe that every role has meaning, and every Egnyter should be respected. With 17,000 customers worldwide and growing, you can make an impact by protecting their valuable data. When joining Egnyte, you’re not just landing a new career, you become part of a team of Egnyters who doers, thinkers, and collaborators are who embrace and live by our values:
- Invested Relationships
- Fiscal Prudence
- Candid Conversations
- Supervising the full development of machine learning & deep learning projects, from design to deployment and maintenance
- Providing technical leadership for the development of NLP projects
- Reviewing state-of-the-art machine learning & deep learning technologies/models with a strong focus on NLP
- Evaluating potential ML solutions and choosing the most appropriate ones depending on technical and business needs, in close collaboration with our Product team
- Defining the architecture of machine learning-based projects, including integrations with other Egnyte products
- Supporting the whole lifecycle of our machine learning models, including gathering data for (re)training, A/B testing, deployment, monitoring, retraining, and redeployments
- Working closely within a distributed team to analyze and apply innovative solutions over billions of documents
- Communicating your approach and results to a wider audience through articles and presentations
- Documented technical excellence in NLP
- Demonstrated success with machine learning & deep learning in a SaaS or Cloud environment, with hands–on knowledge of model creation and deployments in production at scale
- Advanced communication skills, especially with regards to knowledge transfer
- Ability to provide mentorship and team support
- Fluency in at least one deep learning framework: PyTorch, TensorFlow / Keras
- Advanced knowledge of the HuggingFace libraries (transformers and tokenizers) or the Fairseq library
- Fluency in Python, Docker, Kubernetes, Helm
- Solid English skills to effectively communicate with other team members
- Experience with large datasets and distributed computing, especially with the Google Cloud Platform
- Good understanding of advanced analytical modeling and statistical forecasting techniques
- Knowledge of Java, Scala or Go-Lang programming languages
- Familiarity with Kubeflow
- Experience with OpenCV
- Names containing “BERT” are very welcomed ;-)
- Competitive salaries
- Medical insurance and healthcare benefits for you and your family
- Fully paid premiums for life insurance
- Flexible hours and PTO
- Mental wellness platform subscription
- Gym reimbursement
- Childcare reimbursement
- Group term life insurance
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing Architecture BERT Deep Learning Docker GCP Google Cloud Helm HuggingFace Java Keras Kubeflow Kubernetes Machine Learning ML models NLP OpenCV Python PyTorch Scala Security Spark Statistics TensorFlow Testing Transformers
Perks/benefits: Career development Flex hours Flex vacation Salary bonus Wellness
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