
MLOps Engineer
Qualifications
Experience Level: Senior Level
- </strong> </span> </span> </div> <ul> <li> <span> <span> Experience with cloud platforms (AWS <br /> Azure <br /> GCP) even from academic or personal projects <br /> </span> </span> </li> <li> <span> <span> Understanding of containerization concepts (Docker) <br /> </span> </span> </li> <li> <span> <span> Enthusiasm for infrastructure-as-code approaches <br /> </span> </span> </li> </ul> <div> <span> <span> <strong> Model Evaluation Understanding: </strong> </span> </span> </div> <ul> <li> <span> <span> Knowledge of common ML evaluation metrics and their significance <br /> </span> </span> </li> <li> <span> <span> Ability to interpret model performance reports <br /> </span> </span> </li> <li> <span> <span> Interest in learning how to detect and address model drift <br /> </span> </span> </li> </ul> <div> <span> <span> <strong> LLM Awareness: </strong> </span> </span> </div> <ul> <li> <span> <span> Basic understanding of how LLMs work and their applications <br /> </span> </span> </li> <li> <span> <span> Familiarity with concepts like prompt engineering <br /> </span> </span> </li> <li> <span> <span> Eagerness to learn about LLM deployment in production <br /> </span> </span> </li> </ul> <div> <span> <span> <strong> Engineering Fundamentals: </strong> </span> </span> </div> <ul> <li> <span> <span> Solid Python programming skills <br /> </span> </span> </li> <li> <span> <span> Experience with version control systems (Git) <br /> </span> </span> </li> <li> <span> <span> Understanding of basic CI/CD concepts <br /> </span> </span> </li> <li> <span> <span> Willingness to learn best practices for production code <br /> </span> </span> </li> </ul> <span> <span> <span> <strong> How to Apply: </strong> Interested candidates are encouraged to respond/submit their updated resumes <br /> and for additional job opportunities <br /> please visit </span> Jobs In India VARITE <br /> <br /> <span> <strong> Unlock Rewards: Refer Candidates and Earn <br /> </strong> <br /> If you're not available or interested in this opportunity <br /> please pass this along to anyone in your network who might be a good fit and interested in our open positions <br /> VARITE offers a Candidate Referral program <br /> where you'll receive a one-time referral bonus based on the following scale if the referred candidate completes a three-month assignment with VARITE <br /> <br /> <strong> Experience Level Bonus Referral: </strong> </span> </span> </span> <span> <span> <span> 0-2 years </span> </span> </span> <span> <span> <span> INR 5 <br /> 000 </span> </span> </span> <span> <span> <span> 2-6 years </span> </span> </span> <span> <span> <span> INR 7 <br /> 500 </span> </span> </span> <span> <span> <span> 6+ years </span> </span> </span> <span> <span> <span> INR 10 <br /> 000 </span> </span> </span> <br /> <span> <span> <span> <strong> About VARITE: </strong> VARITE is a global staffing and IT consulting company providing technical consulting and team augmentation services to Fortune 500 Companies in USA <br /> UK <br /> CANADA and INDIA <br /> VARITE is currently a primary and direct vendor to the leading corporations in the verticals of Networking <br /> Cloud Infrastructure <br /> Hardware and Software <br /> Digital Marketing and Media Solutions <br /> Clinical Diagnostics <br /> Utilities <br /> Gaming and Entertainment <br /> and Financial Services <br /> <br /> <br /> VARITE is an equal opportunity employer <br /> We celebrate diversity and are committed to creating an inclusive environment for all employees <br /> We do not discriminate on the basis of race <br /> color <br /> religion <br /> sex <br /> sexual orientation <br /> gender identity or expression <br /> national origin <br /> age <br /> marital status <br /> veteran status <br /> or disability status <br /> </span> </span> </span> "
Full Job Description
VARITE is seeking an experienced MLOps Engineer to join their team in Bengaluru. This role involves working with a technology solutions company in India that specializes in product engineering, digital transformation, and network services. The company focuses on delivering cutting-edge solutions and implementing innovative technologies across industries like automotive, telecommunications, and healthcare.
Key Responsibilities and Qualifications:
Experience:
- 5-7 years of relevant experience.
ML Pipeline Knowledge:
- Understanding of ML workflows and production deployment.
- Familiarity with the challenges of deploying ML models.
- Basic knowledge of ML system monitoring (MLOps).
Cloud & Infrastructure Skills:
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Understanding of containerization concepts (Docker).
- Enthusiasm for infrastructure-as-code approaches.
Model Evaluation Understanding:
- Knowledge of common ML evaluation metrics and their significance.
- Ability to interpret model performance reports.
- Interest in detecting and addressing model drift.
LLM Awareness:
- Basic understanding of how LLMs work and their applications.
- Familiarity with concepts like prompt engineering.
- Eagerness to learn about LLM deployment in production.
Engineering Fundamentals:
- Solid Python programming skills.
- Experience with version control systems (Git).
- Understanding of basic CI/CD concepts.
- Willingness to learn best practices for production code.
How to Apply:
Interested candidates are encouraged to submit their updated resumes. For additional job opportunities, please visit Jobs In India VARITE.
Candidate Referral Program:
VARITE offers a Candidate Referral program. If you are not available or interested, please refer someone who might be a good fit. A referral bonus is offered if the referred candidate completes a three-month assignment with VARITE, with amounts varying by experience level (0-2 years: INR 5,000; 2-6 years: INR 7,500; 6+ years: INR 10,000).
Company
Varite
VARITE is a global staffing and IT consulting firm that provides technical consulting and team augmentation services to Fortune 500 companies across the USA, UK, Canada, and India. The company serves ...