Senior Machine Learning 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: Senior Machine Learning Engineer
Job Type: Full-Time
About the role:
We are seeking a skilled and motivated Machine Learning Engineer with experience in developing and deploying machine learning models within a SaaS environment. The ideal candidate will have a strong background in machine learning algorithms, data analysis, and software development, along with the ability to work collaboratively with cross-functional teams to deliver high-quality, scalable solutions.
You will be working on:
- Design, develop, and deploy machine learning models and algorithms to solve business problems and enhance our SaaS products.
- Experience working with Multi-modal LLMs like Claude, Gemini, Llama
Collaborate with data scientists, software engineers, and product managers to integrate machine learning solutions into our platform. - Analyze and preprocess large datasets to extract meaningful features and insights.
- Optimize and maintain machine learning models to ensure high performance and scalability.
- Conduct experiments and perform rigorous testing to validate model accuracy and effectiveness.
- Stay up-to-date with the latest advancements in machine learning and AI technologies, and apply them to improve our products.
- Document processes, models, and workflows for effective knowledge sharing and future reference.
Who are we looking for:
- Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
- Proven 3-5 years of experience as a Machine Learning Engineer or in a similar role, preferably in a SaaS environment.
- Strong programming skills in Python with a focus on machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Proficiency in data analysis and manipulation using pandas, NumPy, and SQL tools.
- 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.
Preferred Qualifications:
- Experience with Fine-tuning Open Source Large Language Models
- 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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