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Machine Learning Scientist

About QarikCo-founded by Google Cloud Engineering leaders, Qarik is an IT Solutions company focusing on Google Cloud Platform. We’ve grown to 100 employees in less than three years and continue to attract brand-name (F1000) clients. We are an engineer-driven company where your talent is truly appreciated and maximized. Unlike the traditional model, where consultants can remain long beyond project completion, we enter our engagements with the end in mind. Core to our ethos is the ability to solve complex problems and teach clients to do the same.About the RoleIn this role, you'll join our growing team focused on building Generative AI applications for document summarization, classification, and question-and-answer using unstructured and structured data. This team works with companies of all sizes, from startups to Fortune 100 companies, that are leaders in their fields and pushing the limits of possible.You will develop applications on Google Cloud, work with customers to understand their requirements, suggest new ideas and features to the team, improve the product further, and implement the new functionalities with a passion for quality. You will implement best practices and state-of-the-art techniques for AI and LLMs and work on research, experimentation, and implementation of novel methods.Responsibilities• Required hands-on experience designing and implementing applications using Large Language Models (LLM). More specifically:• Python programming.• Google VertexAI, Tensorflow or PyTorch, AutoML• Classic Machine Learning (ML frameworks, neural net models development, training, tuning, serving).Ideal candidate will also have experience in one or more of the following:• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field• Shellscripting• MLOps (ideally on GCP)• Data Engineering (including SQL)Personal Attributes• Strong ethics• Strong technical aptitude• Engineering mindset/developer background• Strong sense of ownership and teamwork• Curious, always learning to get better• Enjoys working with clients• Excellent communication skillsDesired Locations• Pittsburgh, Detroit, New York, or Chicago, but open to any location (including outside of the US) as long as you are willing to overlap US East Coast morning.Qarik offers a competitive and comprehensive employee compensation and benefits package.Qarik is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity and expression, national origin, disability, or protected veteran status. For further information, please contact our careers@qarik.com.Why Qarik?● Qarik offers a competitive employee compensation and outstanding benefits package.● The job is fully remote with work hours and vacation flexibility for work/life balance.● You will work on a team where people respect each other, have a shared goal of customer success, and work together instead of competing against each other or counting the lines of code or number of PRs to meet personal annual OKRs. Most of your teammates think this is the best team they have ever worked on so far in their careers.● We are using the latest AI tech and pushing the boundaries possible, constantly learning new stuff and creating new cool things together.Qarik is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity and expression, national origin, disability, or protected veteran status. For further information, please contact our careers@qarik.com.#J-18808-Ljbffr

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What You Should Know About Machine Learning Scientist, Qarik

At Qarik, we’re on the lookout for a passionate Machine Learning Scientist to join our dynamic team in Schiller Park, IL. Founded by leaders from Google Cloud Engineering, we pride ourselves on being an IT Solutions company that thrives on innovation and excellence. In this role, you'll have the unique opportunity to work on building cutting-edge Generative AI applications focused on document summarization, classification, and question-and-answer capabilities using both unstructured and structured data. Your expertise on Google Cloud will be invaluable as you interact with clients across various sectors, including startups and Fortune 100 companies, to transform their ideas into reality. This is a collaborative environment where you’ll be encouraged to suggest new features, improve existing products, and implement best practices in AI and Large Language Models. We are looking for candidates who have hands-on experience designing applications with LLMs, proficiency in Python, and familiarity with tools like Google VertexAI, TensorFlow, or PyTorch. A great personal fit would be someone who embodies strong ethics, a technical mindset, unconditional curiosity, and excellent communication skills. Plus, you’ll have the flexibility to work remotely, and we offer a competitive salary along with a comprehensive benefits package. If you’re ready to be part of a team that respects each other and empowers growth, then Qarik is the perfect place for you.

Frequently Asked Questions (FAQs) for Machine Learning Scientist Role at Qarik
What are the responsibilities of a Machine Learning Scientist at Qarik?

As a Machine Learning Scientist at Qarik, your primary responsibilities will include developing innovative Generative AI applications, engaging with clients to understand their requirements, and implementing state-of-the-art techniques for AI and large language models. You’ll also be responsible for continuously improving the product and suggesting new ideas and features that align with customer needs.

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What qualifications do I need to apply for the Machine Learning Scientist position at Qarik?

To be considered for the Machine Learning Scientist role at Qarik, you should possess a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Hands-on experience with designing and implementing applications using Large Language Models is essential. Proficiency in Python and familiarity with tools like Google VertexAI, TensorFlow, or PyTorch is also required.

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Do I need specific skills in AI and ML frameworks to work as a Machine Learning Scientist at Qarik?

Absolutely! A Machine Learning Scientist at Qarik should have a strong background in classic machine learning frameworks, including the development, training, tuning, and serving of neural net models. Skills in MLOps, especially on GCP, as well as experience with SQL for data engineering, will give you an edge in this role.

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What is the work culture like for Machine Learning Scientists at Qarik?

Qarik fosters a collaborative and respectful work environment, where teamwork and mutual success are paramount. Employees often share that this is the best team they've ever worked with. You’ll enjoy the benefits of a flexible work-life balance with the freedom to work remotely while being part of a team dedicated to pushing the boundaries of AI technology.

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How can I grow my career as a Machine Learning Scientist at Qarik?

At Qarik, continuous learning and professional development are emphasized. As a Machine Learning Scientist, you'll work with cutting-edge technologies and have opportunities to experiment and implement novel methods. This environment encourages you to be curious and always improve your craft, paving the way for career advancement as you contribute to significant projects.

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Common Interview Questions for Machine Learning Scientist
Can you describe your experience with Large Language Models as a Machine Learning Scientist?

When answering this question, highlight specific projects where you designed or implemented applications using LLMs. Provide details on the challenges you faced, the technical decisions you made, and how your contributions positively impacted the project's outcome.

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What programming languages and tools are you proficient in for machine learning tasks?

Focus on discussing your proficiency in Python, as it’s widely used for ML tasks. You might also mention your experience with libraries and frameworks like TensorFlow, PyTorch, or Google VertexAI, and provide examples of how you've used these tools in previous projects.

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How do you approach debugging machine learning models?

Describe your systematic approach to debugging models, starting from gathering logs and error messages to analyzing data quality and feature relevance. Mention any specific tools or methods you use to diagnose issues effectively.

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Can you explain a machine learning project that you successfully led from start to finish?

Share a detailed description of a specific project where you took the lead. Highlight your role in problem identification, your strategies for developing solutions, the technologies you used, and the project’s positive outcome.

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How do you stay current with emerging technologies and trends in machine learning?

Talk about the resources, communities, and platforms you engage with to keep up with the latest advancements in machine learning and AI—whether it's attending workshops, participating in webinars, or following relevant journals and blogs.

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What is your experience with deploying machine learning models in production environments?

Discuss your knowledge of deployment strategies, tools you’ve used (like Docker, Kubernetes, or cloud solutions), and any challenges you faced while maintaining model performance post-deployment.

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How do you prioritize tasks when working on multiple machine learning projects?

Explain your method for prioritizing tasks based on project deadlines, the complexity of the tasks, and the impact on the overall objectives. You might mention how you utilize project management tools to keep everything organized.

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What role does data preprocessing play in your machine learning pipeline?

Emphasize the importance of data preprocessing in your workflow. Detail your steps in handling missing values, normalization, and feature selection, and discuss how these affect model accuracy and performance.

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Have you ever worked with clients to develop machine learning solutions? What was that experience like?

Share your experiences collaborating with clients, emphasizing effective communication and understanding their needs. Describe how you translated client requirements into technical specifications.

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What do you see as the future of machine learning in business applications?

Discuss your vision for the future of machine learning, touching on trends like automation, enhanced data-driven decision-making, and the integration of AI in everyday business processes. Mention how being part of an innovative company like Qarik aligns with this future.

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Go further, faster — A Digital Transformation Specialist with expertise, experience & insight. www.qarik.com

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Full-time, remote
DATE POSTED
December 14, 2024

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