Qureos Mentor

Straive

<div>
 
 
 About Company-
 
 
 
 
 
 
 
 Labelbox builds the data engine that accelerates breakthrough AI. Our platform, expert services, and marketplace let teams iterate on data as nimbly as they iterate on code, enabling safer, smarter models in production. We&rsquo;re backed by SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins, and trusted by leading research labs and enterprises worldwide.
 
 
 
 
 
 
 
 What you will do-
 
 
 
 
 Evaluate your knowledge in this undergraduate-level Data Science assessment: probability &amp; statistics (distributions, inference, hypothesis testing), linear algebra/calculus basics; data wrangling and EDA (Python/R, pandas/NumPy, SQL); visualization and storytelling; supervised/unsupervised learning (regression, classification, clustering), model evaluation (cross-validation, metrics) and feature engineering; experimentation (A/B testing), reproducibility/version control, and ethics, privacy, and bias.
 
 
 
 
 
 
 
 You are good fit if -
 
 
 
 
 
 <ul>
 <li>
 
 Fluent in English, with strong written communication skills and the ability to clearly explain your skill
 
 </li>
 <li>
 
 Bachelor&rsquo;s degree (or pursuing one) in Computer Science or a related field. Master&rsquo;s or PhD preferred, but not required.
 
 </li>
 <li>
 0&ndash;2 years of experience with modern frontend frameworks, tools, or domains (e.g., Python, R ) is a plus
 </li>
 </ul>
 
 
 
 
 
 
 
 
 About Role-
 
 
 <ul>
 <li>
 
 Flexible workload &mdash; work from anywhere, on your own schedule
 
 </li>
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 High impact &mdash; your craft directly improves models used by top AI labs &amp; Fortune 500 teams
 
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 Clear ownership &mdash; know exactly what success looks like and have autonomy to deliver
 
 </li>
 <li>
 
 Growth potential &mdash; consistent high performers spearhead new programs and mentor incoming SMEs
 
 </li>
 </ul>
 
 
 
 
 
 Interview Process-
 
 
 <ul>
 <li>
 
 Click on the Apply link and sign up.
 
 </li>
 <li>
 
 Upload your resume and complete the ID verification.
 
 </li>
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 After verification, go to the Home Page.
 
 </li>
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 Click on &ldquo;Start Interview with Zara&rdquo; &ndash; the 15 min AI interview will be based on your resume.
 
 </li>
 <li>
 
 Complete the interview to proceed with onboarding.
 
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 </ul>
 
 
 
 
 
 Payout -
 
 
 <ul>
 <li>
 
 Engagement | Hourly, at‑will contractor
 
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 Schedule | Fully remote &amp; asynchronous (min. 15 hrs/week)
 
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 Pay Range (US) | $25 &ndash; $100 per hour
 
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 Start Date | Rolling &mdash; staffed as projects launch
 
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 </ul>
 
 
 
</div>

Data Analyst - Trainee

<div>
 
 
 About the Role
 
 
 
 Straive is looking for a talented and driven
 
 Consultant / Data Scientist / GenAI Engineer
 
 to join our
 
 Analytics &amp; GenAI delivery team
 
 . In this role, you will work under the guidance of the Senior Project Manager / Engagement Manager to design, develop, and deploy advanced AI/ML and Generative AI solutions for global enterprise clients. You will be part of a high-performing team, collaborating with both onshore and offshore members to build scalable, production-grade AI systems.
 
 
 
 
 
 This role is ideal for candidates from
 
 premier engineering institutes
 
 with
 
 2&ndash;3 years of relevant experience
 
 in Python development, LLM integration, and RAG workflows, along with a passion for solving complex problems in real-world business contexts.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Develop and maintain
 
 Python-based
 
 applications, AI/ML models, and data processing pipelines for GenAI projects.
 </li>
 <li>
 Implement
 
 Large Language Model (LLM)
 
 integrations, including
 
 Retrieval-Augmented Generation (RAG)
 
 pipelines and embedding-based search solutions.
 </li>
 <li>
 Build data ingestion and transformation workflows, working with structured and unstructured datasets.
 </li>
 <li>
 Optimize AI model performance through
 
 prompt engineering
 
 , fine-tuning, and evaluation techniques.
 </li>
 <li>
 Collaborate closely with senior team members to translate business requirements into technical solutions.
 </li>
 <li>
 Integrate AI solutions with
 
 vector databases
 
 (e.g., Cosmos DB, Pinecone, ChromaDB) and API-driven applications.
 </li>
 <li>
 (Optional) Contribute to
 
 cloud-native deployments
 
 and
 
 Azure architecture
 
 &ndash;based solutions, including containerization, CI/CD, and basic MLOps workflows.
 </li>
 <li>
 Document workflows, maintain code repositories, and follow Agile development practices.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 
 2&ndash;3 years
 
 of relevant experience in AI/ML development, preferably in enterprise projects.
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI/ML, or related field from a
 
 premier engineering institute
 
 .
 </li>
 <li>
 Proficiency in
 
 Python
 
 programming and familiarity with relevant libraries (e.g., LangChain, Hugging Face, Pandas, NumPy).
 </li>
 <li>
 Hands-on experience implementing
 
 RAG pipelines
 
 , embeddings, and vector search solutions.
 </li>
 <li>
 Understanding of
 
 LLM architectures
 
 and integration patterns.
 </li>
 <li>
 Working knowledge of
 
 SQL
 
 and data processing best practices.
 </li>
 <li>
 Basic knowledge of
 
 cloud DevOps concepts
 
 , preferably with
 
 Azure
 
 (AWS/GCP experience is also acceptable).
 </li>
 </ul>
 
 
 
 
 Preferred Skills
 
 
 <ul>
 <li>
 Exposure to
 
 agentic AI frameworks
 
 such as LangGraph, Semantic Kernel, or similar.
 </li>
 <li>
 Familiarity with ML model lifecycle management and deployment workflows.
 </li>
 <li>
 Prior experience working with cross-border teams and Agile environments.
 </li>
 </ul>
 
 
</div>

Data Scientist

Join Straive and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Straive

ABOUT_COMPANY

Data Analyst - Trainee

Data Scientist