Gen AI and Data Engineer (Remote)

Experience: 5.00 + years Salary: INR 15,00,000-28,00,000 / year (based on experience) Expected Notice Period: 15 Days Shift: (GMT+05:30) Asia/Kolkata (IST) Opportunity Type: Remote Placement Type: Full Time Contract for 12 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - quantaraai.com)

What do you need for this opportunity?

Must have skills required: CI/CD Pipeline, Data Pipelines, Java/Scala, Artificial intelligence/machine learning, AWS native analytics (RDS/SageMaker/Bedrock), Cyber security, Data Engineer, LLM, Monte Carlo simulation/Bayesian theorem, PySpark/TensorFlow/PyTorch, Docker, PostgreSQL, Python

quantaraai.com is Looking for:

Gen AI and Data Engineer

Quantara AI is seeking a highly skilled Gen AI and Data Engineer with extensive experience in AWS native analytics technologies, machine learning (ML), custom large language models (LLMs), and AI model development. The ideal candidate will have a strong background in developing B2B SaaS solutions, preferably in cyber risk management. This role involves automating data pipelines, acquiring data from cyber and industry sources, developing and deploying CI/CD pipelines using microservice architecture, and creating risk quantification engines for generating cyber and financial metrics.

Key Responsibilities:

AI and Machine Learning Model Development:

• Design, develop, and deploy advanced ML, custom LLM, and AI models tailored for cyber security products and business needs.
• Collaborate with data scientists and other stakeholders to contextualize AI models for specific business and industry applications.
• Continuously optimize and refine models to improve performance, accuracy, and scalability using frameworks such as TensorFlow and PyTorch.

AWS Native Analytics and Data Engineering:

• Utilize AWS native analytics technologies (e.g., RDS, SageMaker, Bedrock etc.) to manage and process large datasets efficiently.
• Develop and maintain data acquisition pipelines that ingest data from various cyber security and industry sources.
• Ensure data integrity, quality, and availability across all data processing workflows.

Risk Quantification Engine Development:

• Develop risk calculation engines to produce various metrics such as KRIs, KPIs, financial metrics, and ROI.
• Implement different calculation mechanisms including Monte Carlo simulation, Bayesian theorem, and three-point estimation.
• Leverage strong mathematical and analytical skills to design and optimize these engines.

B2B SaaS Solution Development:

• Design and develop scalable B2B SaaS solutions, with a focus on cyber risk management, ensuring they meet the highest standards of reliability, security, and performance.
• Work closely with product and engineering teams to integrate AI and data solutions into Quantara AI'’s cyber risk management offerings.
• Ensure that SaaS solutions are aligned with industry best practices and regulatory requirements for cyber security.

Automation and CI/CD Pipeline Development:

• Automate data processing and ML workflows to streamline the development and deployment of AI models.
• Develop and deploy CI/CD pipelines using microservice architecture, ensuring efficient and reliable delivery of software updates.
• Implement best practices for version control, testing, and continuous integration to maintain high code quality.

Cyber Security and Business Contextualization:

• Apply knowledge of cyber security products to develop AI models that address specific industry challenges.
• Design and implement sophisticated data models to detect, analyze, and predict cybersecurity threats.
• Develop and deploy generative AI models to simulate potential cyber-attacks and vulnerabilities.
• Contextualize data and AI models to align with business objectives and deliver actionable insights to stakeholders.
• Stay informed about the latest trends and developments in cyber security and data engineering, incorporating this knowledge into your work.

Qualifications:

• Bachelor'’s degree in computer science, Data Science, Machine Learning, or a related field (Master'’s preferred).
• Minimum of 5 years of experience as an Gen AI and Data Engineer, with a focus on AWS native analytics technologies and ML/AI model development.
• Proven experience in developing custom LLMs and AI models, with applications in cyber security and business contextualization.
• Strong expertise in developing B2B SaaS solutions, preferably in cyber risk management.
• Experience in developing fact calculation engines using methods like Monte Carlo simulation, Bayesian theorem, and three-point estimation.
• Proficiency in programming languages such as Python, Java, or Scala, with experience in PySpark, PostgreSQL, RDS, EMR, ECS, ECR, EKS, TensorFlow, and PyTorch.
• Hands-on experience with data acquisition, pipeline automation, and CI/CD pipeline development.
• Strong mathematical and analytical skills with the ability to develop complex algorithms and models.

Preferred Skills:

• Familiarity with cloud-native architectures and containerization technologies (e.g., Docker, Kubernetes).
• Experience with big data technologies and distributed computing environments.
• Knowledge of AI/ML lifecycle management tools and frameworks.
• Experience working with cyber security and threat data.
• Strong problem-solving skills and the ability to work collaboratively in a fast-paced environment.

Engagement Type:

Direct Hire with the quantara AI (Direct Contract )

Job Type: Direct Contract -12 Months

Location: Remote

Working time: 1 PM to 10 PM IST

Interview Process -

Round 1 - Initial Screening

Round 2/3 - Technical Interviews

How to apply for this opportunity?

• Register or login on our portal & fill out the application form.
• Clear the given Video Screening (30 min) and Click on ‘Apply’ to get shortlisted
• Once it’s all done, your profile will be shared with the client for the Interview round.
• When selected, just meet the client and get your exciting career started!

About our Client - quantaraai.com: Quantara is an AI based cyber risk analytics company. Our vision is to build cutting edge products to empower business executives (Board of Directors, CXOs and business leaders) to use the power of AI, ML and data to gain business aligned cyber & enterprise risk insights. By near real-time and automated risk visibility, we help businesses to understand enterprise, cyber, Third-party, compliance & regulatory risks, make ROI based decisions and advance business progression with risk treatment strategies.

About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. You will also be assigned to a dedicated Talent Success Coach during the engagement.

(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don’t hesitate to apply today. We are waiting for you!