Machine Learning Engineer - AI
Job Summary
Job Description
Egnyte seeks an experienced Machine Learning Engineer to design, develop, and deploy ML/DL models in production, focusing on NLP solutions. Responsibilities include providing technical leadership for NLP projects, ensuring model management, and mentoring team members. The role involves defining project architectures, integrating with other Egnyte products, managing the model lifecycle (data gathering, A/B testing, deployment, monitoring, retraining), and collaborating on innovative solutions for billions of documents. Strong communication skills are crucial for presenting results and approaches to a wider audience.
Must have:
- Technical excellence in NLP
- ML/DL experience in SaaS/Cloud
- Model creation and deployment at scale
- Advanced communication skills
- Mentorship and team support
- Fluency in PyTorch/TensorFlow/Keras
- HuggingFace/Fairseq library knowledge
- Python, Docker, Kubernetes, Helm proficiency
Good to have:
- Experience with large datasets and distributed computing (GCP)
- Advanced analytical modeling and statistical forecasting
- Java, Scala, or Go experience
- Kubeflow experience
- OpenCV familiarity
Perks:
- Competitive salaries
- Medical insurance
- Life insurance
- Flexible hours
- PTO
- Mental wellness platform
- Gym reimbursement
- Childcare reimbursement
15 skills required
Job Details
Description
Title: ML Engineer
Location: India, Remote
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
ABOUT EGNYTE
Egnyte is the secure multi-cloud platform for content security and governance that enables organizations to better protect and collaborate on their most valuable content. Established in 2008, Egnyte has democratized cloud content security for more than 22,000 organizations, helping customers improve data security, maintain compliance, prevent and detect ransomware threats, and boost employee productivity on any app, any cloud, anywhere. For more information, visit www.egnyte.com.
The opportunity:
We are looking for an experienced engineer who will help us to design, develop, and deploy machine learning & deep learning models in production, with a strong focus on NLP solutions. The core of the work will be focused on providing technical leadership for the development of NLP projects. Besides tasks associated with developing models into production, an important part of the work concerns the development of appropriate approaches and tools to ensure the professional management of our models in production. Finally, transferring knowledge, providing technical expertise to the team members, and helping shape up the team is an integral part of the job.
Your day-to-day at Egnyte:
- 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
About you:
- 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
Bonus skills:
- 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 ;-)
BENEFITS:
- 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
COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION:
At Egnyte, we celebrate our differences and thrive on our diversity for our employees, our products, our customers, our investors, and our communities. Egnyters are encouraged to bring their whole selves to work and to appreciate the many differences that collectively make Egnyte a higher-performing company and a great place to be.
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