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Ubique Systems

Ubique Systems

www.ubique-systems.com

44 Jobs

296 Employees

About the Company

Ubique Systems is a fast growing multifaceted organization which offers a comprehensive array of outsourcing and consulting services for its customers, including recruitment, human resource management, vendor management, and outplacement services and software development on a global basis, with an objective to adopt the flexible global business practices that today enable companies to operate more efficiently and produce more value.

We're a global leader in business and technology services, helping our clients bring the future of work to life. Ubique is one of the world's leading organizations providing management consulting, technology and outsourcing services. Our team, selected by a rigorous process of monitoring academic excellence and work experience, is led by strong global management individuals, to fulfill demands put forward to us, and consistently deliver in adherence to our value proposition. A scientific process oriented approach helps augment the delivery and quality.

Ubique Systems commenced operations in 2000, when the IT services industry was deemed to be well established and the offshore concept was gaining ground. Today relying on their belief about collaboration and professional integrity the group has managed to grow to strength of more than 500 consultants. Now, with a multinational presence and a comprehensive range of services across diverse industries, Ubique Systems is one of the reliable consulting partners with a growth rate of more than 80 % year on year.

Listed Jobs

Company background Company brand
Company Name
Ubique Systems
Job Title
Generative AI Engineer
Job Description
Job Role: Generative AI Architect
Location: London, UK (Hybrid: 2-3 days from office in a week)
Employment Type: Contract B2B/Free Lance (Inside IR35)
Duration: 6 (Will Extend)

Roles and Responsibilities:

We are seeking a hands-on Generative AI Architect to design, implement, and optimize cutting-edge Gen AI solutions leveraging Generative AI and agentic architectures.
The ideal candidate will have deep technical expertise in using LLMs (Large Language Models) for solving business problems, cloud-based Gen AI application deployments (Google Vertex AI preferred), and designing and developing multi-agentic Gen AI applications.

Key Responsibilities:
Architect and implement Generative AI solutions for Conversational AI, automation, and enterprise applications.
Design and develop multi agentic AI applications using frameworks like Google Vertex AI agents, LangGraph, CrewAI, LlamaIndex multi agentic workflows or AutoGen.
Evaluating Gen AI & multi agentic applications for hallucination, correctness and accuracy
Troubleshooting and optimising Gen AI applications on cloud platforms preferably GCP.
Integrate Gen AI and multi agentic applications with tools, databases, and APIs for real-world use cases.
Ensure Gen AI solutions are scalable, reliable, and compliant with data privacy and security standards.
Lead the Gen AI teams to deliver value to our customers.
Lead AI research initiatives and explore state-of-the-art advancements in Generative AI.
Collaborate with engineering, product, and business teams to define Gen AI-driven strategies and roadmaps.
Required Skills & Qualifications:
10+ years of experience in AI/ML, with a focus on Generative AI and NLP for the past 2 years or so.
Should be hands on and proficient in Python and associated data science libraries like Pandas, NumPy
Expertise in using Gen AI frameworks like LangChain, LlamaIndex and multi agentic frameworks like Google Vertex AI agents, LangGraph, CrewAI, LlamaIndex multi agentic workflows or AutoGen.
Hands on expertise in building and productionizing Gen AI solutions.
Hands on expertise on RAG pattern and multi agentic patterns like workflows, hierarchical agents & agentic swarms
Hands on expertise on Gen AI application evaluation techniques and frameworks like DeepEval
Hands on experience on Gen AI application monitoring tools such as Arize Pheonix and LangSmith
Hands-on experience with cloud AI platforms (Google Vertex AI, AWS SageMaker, Azure AI).
Knowledge of GenAIOps, AI security, and responsible AI best practices.
Ability to lead AI initiatives, mentor teams, and drive innovation.
Ability to research and learn new technologies.

Preferred Skills:
Background in AI ethics, fairness, and regulatory compliance.

If this position interests you, please revert with an updated resume.
London, United Kingdom
Hybrid
02-04-2025
Company background Company brand
Company Name
Ubique Systems
Job Title
Senior Security Analyst - UT0304
Job Description
Reinforcement of systems in the areas of Patching & Vulnerability Management and Incident Management: the following elements: governance, monitoring, controls, investigation, and evaluation of infrastructure security performance
Manage vulnerabilities on both Internal Vulnerability (IVS) and External Vulnerability (EVS) and establish close monitoring
Ensure that patching has been carried out and ensure close monitoring.
Analyze patching and vulnerability reports and transmit remedial actions to the teams concerned as well as adhoc controls to verify compliance
Strengthen control systems for patching and vulnerability management and remediation
Propose or implement actions to contain the threat as well as improve the level of security.
Carry out the assessment of infrastructure security performance, write the assessment report
Be able to manage security incidents
Bordeaux, France
On site
03-04-2025
Company background Company brand
Company Name
Ubique Systems
Job Title
Data Protection Analyst
Job Description
Job Title
Data Privacy & Protection Expert

Competencies
Compliance : Data Privacy, Data Protection with Quality Assurance

Location
FR-Paris

Experience Range
6-8 Years

Salary Bill Rate
400-450 euros /day

Non English Language Dependency
English

Remote Working Yes/No
Onsite

Contract duration
6-12 Months (B2B/ Freelance contract)

JD
Support Client (Corporate Center) in various subjects related to data protection:
- Improvement of Processing Registers.
- Support on the realization of Privacy by Design analysis.
- Support on recurring activities on data protection as needed (data leak / remediation / process ....)

Several types of subjects:
- Project to improve Client Processing Registers (at the global level).
- Realization of Privacy by Design Project analysis.
- Support of local data protection experts.
- Various tasks related to data protection as needed.
Paris, France
On site
03-04-2025
Company background Company brand
Company Name
Ubique Systems
Job Title
Kafka Developer
Job Description
Job Description:-
Summary:
We are seeking a highly experienced and skilled Senior Kafka Engineer to join our team. The ideal candidate will have a proven track record of designing, implementing, and maintaining large-scale Kafka deployments, with specific experience upgrading Kafka clusters. This role requires a deep understanding of Kafka's architecture, internals, and best practices. The candidate must be comfortable working independently and collaboratively within a fast-paced environment.

Responsibilities:
Design, implement, and maintain high-throughput, low-latency Kafka clusters.
Lead the upgrade of existing Kafka clusters from version 3.3.1 to the latest supported version, ensuring minimal downtime and data integrity.
Experience in confluent migration .
Develop and implement monitoring and alerting systems for Kafka.
Troubleshoot and resolve Kafka-related issues.
Participate in on-call rotation to ensure 24/7 system availability.
Collaborate with other engineers to integrate Kafka into existing systems.
Design and implement Kafka security best practices.
Contribute to the improvement of our Kafka infrastructure.
Mentor junior engineers and share expertise.
Stay current with the latest Kafka technologies and best practices.

Qualifications:
8+ years of experience working with Apache Kafka.
Proven experience upgrading Kafka clusters, specifically from version 3.3.1 to a current supported version. Detail of the specific versions involved is highly desirable.
Strong understanding of Kafka architecture, including topics, partitions, consumers, and producers.
Experience with Kafka Connect.
Experience with Kafka Zookeeper, Kafka.
Experience working in Confluent Kafka.
Experience in deploying the Kafka image in Kubernetes.
Experience in setting up Stretched Kafka Cluster.
Experience with Kafka Streams or ksqlDB a plus.
Proficiency in at least one scripting language (e.g., Python, Shell).
Experience with cloud-based Kafka deployments (AWS, Azure, GCP) is highly preferred.
Experience with Kafka monitoring and alerting tools.
Excellent problem-solving and troubleshooting skills.
Strong communication and collaboration skills.
Sheffield, United Kingdom
Hybrid
04-04-2025