Seeking a highly skilled and experienced Senior Data Scientist with a minimum of 8 - 11 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture.
Responsibilities
Contribute to the design and implementation of state-of-the-art AI solutions.
Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI.
Collaborate with stakeholders to identify business opportunities and define AI project goals.
Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges.
Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases.
Requirements
Bachelor's degree in Computer Science, Engineering, or a related field
Master's degree in Computer Science, Engineering, or a related field
Responsible for analyzing various kinds of customers data to find the security problems, doing POC and designing the end-to-end solutions based on machine learning or other data processing automation technique in AWS/Azure.
Responsibilities
Analyzing various kinds of customers data to find security problems
Doing POC and designing end-to-end solutions based on machine learning or other data processing automation technique in AWS/Azure
Requirements
Bachelor’s degree in Computer Science or any related field
Lead engineering efforts for AI Enablement within Business Banking Technology, driving technical direction, DevSecOps practices, and delivery readiness.
Responsibilities
Lead a squad of engineers to develop and harden AI coding agents, plugins, and pipelines
Set standards for code review, testing, and verification of AI-generated output
Collaborate with AI Powered Engineering function to scale factory capabilities
Drive DevSecOps practices including CI/CD, SAST, SCA, container scanning, and incident readiness
The Bullish Treasury (BTH) Engineering team develops the foundational infrastructure that powers the secure management and rapid expansion of our digital asset ecosystem, tackling complex on-chain challenges to build automated DeFi workflows, resilient privacy structures, and transparent, real-time financial intelligence dashboards.
Compensation
The anticipated base salary for this position is $230,000 - $280,000 + discretionary annual target bonus + performance incentives/benefits.
Responsibilities
Design and develop critical internal applications using React, TypeScript, and Python.
Deploy and manage systems end-to-end on GCP and Kubernetes, driving automated CI/CD pipelines via GitHub Actions, while leveraging tools for Infrastructure-as-Code (Terraform, Config Connector).
Heavily leverage AI tooling and coding agents to accelerate full-stack development.
Raise the bar for the team through code reviews, automated testing, and technical mentorship.
Requirements
Nice to have: Managing and mentoring high-performing engineering teams
The Research Assistant will work on the development of a GenAI-powered cyber twin for power-sector critical infrastructure and the design and evaluation of mitigation strategies against cyber-physical attacks.
Responsibilities
Assist in the development of the cyber twin for the EPIC testbed, covering process data, control logic, SCADA configuration, and OT network architecture.
Support the definition and measurement of fidelity and sufficiency metrics by running paired experiments on both the cyber twin and the physical testbed.
Develop automated capabilities that propose candidate mitigation strategies based on observed attack outcomes on the cyber twin.
Develop automated capabilities that deploy, evaluate, and iteratively refine candidate strategies until they meet a defined confirmation criterion.
Support the proof of concept demonstrating the cyber twin's readiness for use in international cyber range exercises.
Requirements
Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Cybersecurity, or a related discipline
Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Cybersecurity, or a related discipline
Senior Technical Lead - Automation - Functional Testing at Incedo, responsible for designing and executing test cases and scripts to ensure the functionality of software products and applications.
Responsibilities
Design and develop automation functional testing solutions using tools such as Selenium and Appium
Collaborate with stakeholders to gather and analyze requirements and design solutions that meet business needs
Configure and deploy automation functional testing solutions, and troubleshoot technical issues as needed
Develop and maintain documentation, including user guides and training materials
Foster a collaborative and supportive work environment, promoting open communication and teamwork
Requirements
B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred