ML QA Engineer
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Location
Remote (India)
Type
Full-Time
Department
Sales
Salary
$60,000 USD
Job Description:
Posted on:
July 25, 2024
We are looking for an experienced, inquisitive, and highly analytical sales operations analyst to join our sales operations department. A passionate data-centric storyteller to help conceptualize and dig deeper into the data to guide us through decision-making scenarios. This person will play an influential role in the day-to-day and overall strategy of the sales operations department and help inform stakeholders with data to drive better business decisions.
Key Responsibilities:
- Supports data collection and analysis of Salesforce performance across all regions.
- Leverages proprietary data sets to generate insight through descriptive statistics to help monitor our KPI’s, targets, and business drivers.
- Helps with the development of dashboards and automation of the sales performance reporting for the executive team in a timely manner.
- Assists with modeling and calculations of annual commission plans during budget season.
- Generates forecast and sales analysis reports
- Builds data/insights for presentation slides to support global monthly and quarterly senior executive presentations.
- Responds to ad-hoc quantitative and qualitative sales analysis on current quarter and future quarter metrics and insights against targets.
Must Haves:
- Collaborative and supportive of teammates. Leads with positivity and demonstrates attention to detail when engaging with stakeholders.
- Build relationships with others in the department and work effectively with cross functional teams like finance, marketing, inside sales, sales and accounting.
- 5+ years of experience working with sales data.
- Ability to manage multiple requests/projects, while proactively packaging insights in support of the sales operations function.
- Ability to take initiative on reporting with little direction.
- Understanding of key sales metrics and alignment to business requirements.
- Excellent Excel, Powerpoint and Word knowledge.
- Experience using Salesforce CRM.
- Excellent verbal and interpersonal communication.
Benefits & Perks:
We have a full package of competitive benefits and perks, which include:
- One-time home office set up stipend
- Monthly Remote Work Enablement Stipend
- Professional Development Reimbursement
- Wellbeing Benefits (Headspace, etc)
- Flexible paid time off, paid leave for new parents, and flexible work hours
- Insurance for all employees (term life, personal accident, medical) along with medical insurance for their dependents
- Employee stock options
Location: 100% remote
Employee Location: India
Role: ML QA Engineer
About the role:
The QA ML Engineer will be responsible for ensuring the quality and performance of machine learning models and systems. This role involves designing and executing test plans, identifying and addressing issues, and collaborating closely with ML Scientists and Product Team to ensure robust and reliable ML solutions.
You will be working on:
- Develop and implement test strategies for machine learning models and systems.
- Design and execute test cases for model performance, accuracy, and reliability.
- Identify, report, and track defects and issues in ML models and pipelines.
- Collaborate with data scientists and engineers to understand model requirements and functionality.
- Perform exploratory testing and analyze model outputs to identify anomalies.
- Stay updated with industry best practices and emerging trends in ML evaluation frameworks.
Who are we looking for:
- Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
- Proven 3+ years of experience as a QA/ML Engineer or in a similar role, preferably in a SaaS environment.
- Strong programming skills in Python and automation frameworks.
- Familiarity with version control systems (e.g., Git) and collaborative development workflows.
- Excellent problem-solving skills and the ability to work independently as well as part of a team.
- Strong communication skills, both written and verbal, with the ability to explain complex concepts to non-technical stakeholders.
- Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and deploying machine learning models in a cloud environment.
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About Prezent:
HackerRank is a Y Combinator alumnus backed by tier-one Silicon Valley VCs with total funding of over $100 million. The HackerRank Developer Skills Platform is the standard for assessing developer skills for 2,500+ companies across industries and 23M+ developers worldwide. Companies like LinkedIn, Stripe, and Peloton rely on HackerRank to objectively evaluate skills against millions of developers at every hiring process, allowing teams to hire the best and reduce engineering time. Developers rely on HackerRank to turn their skills into great jobs. We’re data-driven givers who take full ownership of our work and love delighting our customers!HackerRank is a proud equal employment opportunity and affirmative action employer.
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