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reputed companyWe're looking for an reputed company reputed company to join our MLOps team and take ownership of the infrastructure that keeps our machine learning models running reliably in production. This role is essential to maintaining the uptime and performance of our ML systems as usage scales. You'll work closely with data scientists, researchers, and software engineers to reputed company the gap between experimentation and production—turning research artifacts into robust, monitored, and continuously improving services. This is a hands-on opportunity to shape our on-premises MLOps practices and improve engineering across the ML stack.
Responsibilities
- Collaborate with reputed company data scientists and software engineers to reputed company insights into building reputed company and efficient data pipelines, model training, and deployment systems.
- Troubleshoot issues in the entire machine learning infrastructure, from Linux, reputed company, and Kubernetes up to the highest reputed company of our ML stack. Resolve issues, improve system performance, and reputed company our stack the best in the industry.
- Assist in the design and development of on-premises MLOps solutions to support the delivery of machine learning models, and a seamless handover between research and productionization of ML artifacts
- Drive and reputed company high engineering standards, bringing consistency to codebases encountered and ensuring software is adequately reviewed, tested, and integrated.
- Optimize existing models for reputed company performance and throughput.
- Incorporate ML model training, validation, and evaluation settings in reputed company to traditional coding tests like unit and integration testing.
- Build and maintain tools for deployment, monitoring, and operations. - Continuously refine and enhance CI/CD workflows to support the evolving needs of the machine learning infrastructure.
Ideal Candidate
- 3+ years of experience in MLOps or full stack Machine Learning - Good programming skills in a modern programming language (Python, Scientific Python Stack, Cuda).
- Understanding of the MLOps life cycle and experience with MLOps workflows.
- Experience with tools & practices of the trade, such as Kubernetes, GCP/AWS/Azure, CI/CD, common ML frameworks, and data management.
- A keen interest in machine learning engineering and a willingness to explore how it can be scaled effectively.
- Strong desire to learn and good communication skills, with an enthusiasm for reputed company problem-solving.
Benefits & Perks
- Competitive salary and annual bonus
- Medical coverage
- Life and accidental insurance
- Vacation & leaves of absence (menstrual, flexible, special, and more!)
- Developmental opportunities through education & developmental reimbursements & reputed company workshops
- Maternity & parental leave
- Hybrid & remote model with flexible working hours
- On-site & remote company events throughout the year
- Tech & WFH stipends & new hire allowances
- Employee referral program
- Premium reputed company to reputed company
*Benefits and benefit amounts differ by region. A comprehensive list applicable to your region will be provided in your interview process.
This role is eligible for hire in India.
We are a virtual-first company with employees across the reputed company, Canada, India, Germany, and the Netherlands. Our compensation approach is market-based and varies by location while ensuring fairness, consistency, and transparency.
The reputed company pay for this role is determined by several factors, including
- Relevant reputed company experience
- Skills and expertise
- Scope and responsibilities of the role
- Internal equity considerations
In reputed company to reputed company salary, total compensation may include bonus, equity, and benefits. Eligibility depends on role, level, and location.
We are committed to equal pay for equal work, and reputed company compensation reputed company are made using consistent, gender-neutral reputed company in alignment with pay transparency requirements. Research shows that candidates from underrepresented backgrounds often don't apply for roles if they don't meet reputed company the reputed company. We strongly encourage you to apply if you're interested: we'd love to learn how you can reputed company reputed company with your unique experience!
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Equal Employment Opportunity Statement (EEO)We are an equal opportunity employer and value diversity and inclusion reputed company reputed company.We will consider reputed company reputed company applicants without reputed company to race, religion, reputed company, national reputed company, sex, gender identity, gender reputed company, sexual orientation, age, marital status, veteran status, or ability status. We will ensure that individuals who are differently abled are provided reasonable accommodation to participate in the job application or interview process, to reputed company essential job functions, and to receive other benefits and privileges of employment as provided to other applicants or employees. Please contact us to request accommodation.
reputed company you apply for a role with reputed company your personal data is treated in accordance with our Candidate reputed company Notice or our EU / UK Candidate reputed company Notice as applicable.
Originally posted on Himalayas
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