Qureos Mentor

AppZen

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  <strong>
   Role: Data Scientist
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  <strong>
   <u>
    About Us:
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  </strong>
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  AppZen is the leader in autonomous spend-to-pay software. Its patented artificial intelligence accurately and efficiently processes information from thousands of data sources so that organizations can better understand enterprise spend at scale to make smarter business decisions. It seamlessly integrates with existing accounts payable, expense, and card workflows to read, understand, and make real-time decisions based on your unique spend profile, leading to faster processing times and fewer instances of fraud or wasteful spend. Global enterprises, including one-third of the Fortune 500, use AppZen&rsquo;s invoice, expense, and card transaction solutions to replace manual finance processes and accelerate the speed and agility of their businesses. To learn more, visit us at
  <u>
   www.appzen.com
  </u>
  .
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  <strong>
   <u>
    About the role:
   </u>
  </strong>
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  We are
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  looking for experienced Data Scientists with strong Python expertise to join our growing AI/ML team. You&rsquo;ll collaborate with a world-class group of machine learning engineers and scientists working on cutting-edge NLP, document understanding, and enterprise automation use cases.
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    Key Responsibilities
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   Design, build, and evaluate models for NLP, document extraction, classification, and generative tasks.
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   Develop end-to-end ML pipelines from data preprocessing to model inference and monitoring.
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   Work on productionizing models including model packaging, API integration, and deployment using Docker/Kubernetes.
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   Analyze model behavior, debug Python code and optimize performance in large-scale environments.
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   Translate prototypes into scalable, production-grade ML services, with a focus on reliability and performance.
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   Contribute to model and system monitoring, logging, and performance optimization.
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   Collaborate with product managers and engineering teams to turn business requirements into ML-driven product features.
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   Stay current with research and advancements in transformer-based architectures, LLMs (e.g., GPT, BERT), and generative AI techniques.
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  <strong>
   <u>
    Must-Have Qualifications
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   :
  </strong>
 </p>
 <ul>
  <li>
   3&ndash;5 years of professional experience in Python, with strong debugging, profiling, and performance optimization skills.
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   Solid understanding of python data structures, algorithms, and software engineering best practices in ML development.
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   Hands-on experience with NLP and modern ML frameworks like PyTorch, TensorFlow, or HuggingFace Transformers.
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   Applied experience with transformer models, LLMs, or generative AI in real-world scenarios.
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   Experience with model evaluation, including designing meaningful metrics, tracking model drift, and optimizing performance in production.
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   Ability to manage multiple priorities in a fast-paced and collaborative environment.
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   B.E./B.Tech or higher in Computer Science, Engineering, or a related technical field.
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 </p>
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  <strong>
   <u>
    Nice-to-Haves:
   </u>
  </strong>
 </p>
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  <li>
   Experience building and deploying containerized ML services with Docker and CI/CD pipelines.
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   Skilled in designing and consuming RESTful Python APIs (e.g., FastAPI, Flask).
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   Experience with cloud services, particularly AWS (S3, SQS, etc.).
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   Familiarity with databases such as PostgreSQL and Redis
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   Strong grasp of classical ML algorithms such as Logistic Regression, Random Forests, and XGBoost.
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  Ability to choose between heuristic, rule-based, and model-driven solutions pragmatically (e.g., regex vs ML).
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</div>


Data Scientist

<div><div><div>AppZen is the leader in autonomous spend-to-pay software. Its patented artificial intelligence accurately and efficiently processes information from thousands of data sources so that organizations can better understand enterprise spend at scale to make smarter business decisions. It seamlessly integrates with existing accounts payable, expense, and card workflows to read, understand, and make real-time decisions based on your unique spend profile, leading to faster processing times and fewer instances of fraud or wasteful spend. Global enterprises, including one-third of the Fortune 500, use AppZen&rsquo;s invoice, expense, and card transaction solutions to replace manual finance processes and accelerate the speed and agility of their businesses. To learn more, visit us at www.appzen.com.</div></div>
<div><div><h3 class="jobSectionHeader"><b>About Role:</b></h3><ul><li><ul><li>
We are looking for a Sr. Executive &ndash; Legal with 4&ndash;6 years of experience in reviewing, drafting, and negotiating global customer and vendor contracts, particularly within the IT/software industry. The role involves providing legal advice, handling data privacy matters (GDPR, DPDPA), participating in negotiations, and maintaining contract templates and playbooks. Strong expertise in SaaS contracts, data privacy, and commercial agreements is essential.</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader"><b>Job Responsibilities:
</b></h3><ul><li><ul><li>Contract reviews and negotiations across US, UK, and EU jurisdictions, mainly customer and vendor contracts such as MSAs, DPAs, order forms, SOWs, marketing and event agreements, partner agreements, and related commercial contracts (SaaS and Non-SaaS).</li><li>
Providing legal advice on contractual obligations and commercial terms.</li><li>
Attending customer and vendor negotiation calls with the team / independently.</li><li>
Handling data privacy matters including legal research, drafting privacy-related clauses in various contracts, and staying current with global regulatory developments.
</li><li>Must possess thorough knowledge of GDPR, DPDPA (India) and other privacy laws.</li><li>
Reviewing contracts, internal documents, and policies specific to the India jurisdiction.</li><li>
Drafting and maintaining standard contract templates and playbooks (customer and vendor) to streamline the contracting process.</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader"><b>Job Requirements:
</b></h3><ul><li><ul><li>Law graduate with approximately 4-6 years of experience, including at least 3 years in the IT / software industry.</li><li>
Strong expertise in redlining and negotiating IT / software industry-specific contracts such as NDAs, MSAs, vendor agreements, and DPAs.</li><li>
In-depth knowledge of data privacy laws, including GDPR, and experience with related documentation is a must have.</li><li>
Knowledge about SaaS contracts is an added advantage.</li><li>
Experience with legal technology tools and AI-powered legal platforms is an advantage.</li><li>
Understanding of legal aspects related to employment contracts and related matters in India is an added advantage.</li></ul></li></ul></div></div></div>

Senior Executive - Legal

Join AppZen 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.

AppZen

ABOUT_COMPANY

Data Scientist

Senior Executive - Legal