Job Description

Experience : 5.00+ years Salary : INR 150909-189090 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Remote.com) (*Note: This is a requirement for one of Uplers\' client - quantaraai.com) What do you need for this opportunity Primary Skills: CI/CD, cybersecurity data analysis, Big Data, Data Modeling, Large Language Models (LLMs), Machine Learning Framework, AWS, Problem Solving Attitude, Python quantaraai.com is Looking for: Roles and Responsibilities : Our organization is at the forefront of integrating cutting-edge AI technologies to develop advanced risk analytics solutions to measure and quantify different cyber and business risks. We are looking for a Cyber focused, Data Modeling, and Generative AI Data Engineer with experience in Large Language Models (LLM) development to join our team. This pivotal role will drive the development and implementation of advanced data models, employ generative AI techniques to auto-process various cyber and business data sets, simulate cyber threats, quantify different measures, KRIS, KPIs, financial risks, ROI and utilize large language models for data analysis and cyber quantification applications in business terms. Key Responsibilities: 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. Utilize large language models (LLMs) for natural language processing tasks, enhancing data analysis and threat intelligence capabilities. Engineer scalable data pipelines to support the ingestion, processing, and analysis of large datasets relevant to cybersecurity. Develop a data model that correlates cyber data with client\'s business context, external threats and recommendations. Develop a fact calculation engine to produce different measures e.g. KRIs, KPIs, financial metrics, ROI based on different mechanisms (e.g. Monte Carlo method, Bayesian theorem, three-point estimation etc.) Develop mechanisms to generate automated risk scenarios and mitigation recommendations. Collaborate with cybersecurity experts to integrate AI and machine learning technologies into our security framework. Stay updated on the latest trends in AI, machine learning, and cybersecurity, ensuring our tools and methodologies remain at the cutting edge. Lead projects from concept through deployment, including data collection, model training, evaluation, and productionisation. Communicate complex AI and data science concepts to non-technical stakeholders, providing insights and recommendations to inform decision-making. Requirements : Required Qualifications: Bachelors or Master\'s in Computer Science, Data Science, Cybersecurity, or a related field. 5-8 years of demonstrated experience in data modeling, machine learning, and AI, specifically with generative models and large language models (LLMs). Proficiency in programming languages such as Python, and experience with AI and machine learning frameworks (e.g., TensorFlow, PyTorch). Strong background in data engineering, including experience with big data technologies (e.g., Hadoop, Spark) and database management systems (SQL, PostgreSQL, Mongo etc.) Familiarity with cybersecurity principles, data privacy, and ethical AI considerations. Exceptional analytical and problem-solving skills. Excellent communication and collaboration abilities. Experience in developing and deploying applications in a cloud environment (AWS, Google Cloud, Azure) using cloud native technologies. Preferred Qualifications: Experience with cybersecurity data analysis or working in a cybersecurity environment. Publications or contributions to the field of AI, machine learning, or cybersecurity. Certifications in data science, AI, or cybersecurity. Experience with version control systems, CI/CD pipeline systems such as Git. Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes). Engagement Type: Direct Hire with the Quantara AI Payroll and Compliance will be managed by Remote.com Job Type: Permanent Location: Remote Working time: 4 PM to 12 AM 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!

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