Build What’s Next with GICinno
Join a team that is turning complex data, emerging technologies and bold ideas into practical progress. At GICinno, you will work on challenging problems, develop in high-growth fields and help organizations build a smarter future.
View Open Roles
Submit Your Profile
Why Join GICinno?
Do work that matters.
Help organizations make better decisions, improve critical operations, create more meaningful customer experiences and use AI responsibly.
Grow with emerging technology.
Work across data engineering, analytics, artificial intelligence, machine learning, deep learning, cloud, automation and next-generation computing.
Learn from diverse expertise.
Collaborate with strategists, engineers, data scientists, domain specialists and client leaders across industries.
Own your development.
Build your capabilities through real-world projects, mentorship, learning resources and opportunities to explore new domains.
Bring your whole perspective.
We value thoughtful debate, fresh thinking and the unique experience every person brings to the team.
Areas of Opportunity
- AI & Generative AI
- Data Science & Machine Learning
- Deep Learning & Computer Vision
- Reinforcement Learning & Cognitive AI
- Data Engineering & Cloud Platforms
- Business Intelligence & Data Visualization
- Application Development & Integration
- Cybersecurity, Governance & Responsible AI
- Industry Consulting & Digital Strategy
- Product, Project & Delivery Management
Open Role
Quantum Deep Learning Specialist
Join our cutting-edge team at GICinno
Are you a visionary quantum computing expert with a passion for pushing the boundaries of artificial intelligence? We’re seeking a highly skilled Quantum Deep Learning Specialist to join our dynamic research and development team.
Job Profile
As a Quantum Deep Learning Specialist, you will play a pivotal role in:
Developing and implementing innovative and novel quantum machine learning and deep learning algorithms
Exploring the applications of quantum computing in diverse fields, such as drug discovery, materials science, cognitive science, education, and finance
Collaborating with interdisciplinary teams to solve complex problems using quantum-inspired techniques and develop novel, simplified mechanisms of innovative complexities by employing quantum entanglement, quantum cryptography, etc.
Job Requirements
Bachelor/Master/Doctoral degree with specialization in any sub field of Quantum Physics, Computer Science, or a related field
Proven experience in invention or innovation of original/novel quantum algorithm development and implementation with in-depth mechanisms
Strong proficiency in quantum programming languages (e.g., Qiskit, Cirq) in addition to hands-on C++, Python, R, Java, Mathematica, MATLAB, and Fortran.
Deep understanding of machine learning and deep learning concepts, like strong mathematical and physical essense – internals (NOT blackbox) and techniques with highly optimised and benchmarked sound mechanisms
Excellent problem-solving and analytical skills with all scientific and industrial temperament
Ability to work independently and as part of a collaborative team with leading thoughts and novel ideas
Job Responsibilities
Conduct industrial research on the latest advancements in quantum machine learning and quantum deep learning
Develop and optimize novel quantum algorithms for specific applications and assigned purposes
Collaborate with domain experts to identify and address industrial research challenges
Mentor junior team members and foster a culture of innovation, invention, and discovery
Benefits
Competitive salary and benefits package
Opportunities for professional growth and development
State-of-the-art industrial research facilities
Collaborative and supportive work environment
Flexible work arrangements in addition to, remote and online workings
If you’re a passionate and talented quantum deep learning specialist ready to make a significant impact, we invite you to apply. Please submit your resume and cover letter to email@gicinno.com
Cognitive Reinforcement Learning Expert
Job Description
We are seeking a highly motivated and skilled Cognitive Reinforcement Learning Expert to join our innovative research and development team. The ideal candidate will have a strong background in reinforcement learning, artificial intelligence, and cognitive science, in addition to machine learning, deep learning. This role will involve developing and implementing cutting-edge, novel reinforcement learning algorithms to advance our understanding of human cognition and behavior, human and system feedbacks, and so on.
Job Profile
As a Cognitive Reinforcement Learning Expert, you will:
Design and conduct projects to investigate cognitive processes using reinforcement learning models for novelty.
Develop and implement novel reinforcement learning algorithms inspired by human cognition with dynamic mechanisms.
Collaborate with interdisciplinary teams of researchers, developers to invent reinforcement learning outcomes in various domains.
Analyze and interpret evolved data to draw meaningful conclusions based on in-depth and sound knowledge and understanding.
Contribute to the succinct documentations, publications of industrial research findings in industrial and corporate communities.
Job Requirements
Bachelor/Master/Doctoral degree in Computer Science, Artificial Intelligence, Cognitive Science, or a related field.
In-depth understanding of mathematical mechanisms and internal physical essence (NOT blackbox) of machine and deep learning, reinforcement learning
Established expertise in C++, R, Python, Mathematica, Java, Python and relevant libraries, in addition to thorough cognitive services knowledge
Experience with complex conceptualbehavioral design and data analysis innovative techniques
Excellent problem-solving and analytical skills with an aptitude of inventions and discoveries
Strong communication and interpersonal skills to resolve conflicts and creative brainstorming, ideas
A passion for research and development for mindset of innovations, inventions, and discoveries
Job Skills
Develop novel/original Reinforcement learning algorithms like, Q-learning, policy gradient methods, deep Q-networks
Thorough understanding and workings of Cognitive modeling and computational neuroscience
Proficient in advanced conceptual and behavioral design, along with innovative data analysis methods
Expert in C++, R, Python, Mathematica, Java, and relevant libraries, along with extensive knowledge of cognitive services
Collaborate with interdisciplinary teams of researchers and developers to create RL solutions across diverse domains
Contribute in the clear documentation and influential publications of industrial research findings for corporate and industry audiences
Job Responsibilities
Develop and implement original reinforcement learning models inspired by human cognition.
Design and conduct industrial projects to test hypotheses about cognitive processes and metacognitions
Analyze and interpret evolved data to draw meaningful conclusions as novel outcomes under the cognitive influences
Collaborate with developers, researchers from other disciplines to create reinforcement learning cognitive solutions
Contribute to the publication of research findings in top-tier academic journals and conferences.
Stay up-to-date with the latest advancements in reinforcement learning and cognitive science.
Job Benefits
Competitive salary and benefits package
Opportunities for professional development and growth
Collaborative and supportive work environment for innovative thinking and inventiveness
Access to state-of-the-art industrial research facilities.
Flexible work arrangements including remote settings and online workings
To Apply
Please submit your resume and covering letter highlighting your relevant experience and passionate exposure to email@gicinno.com
AI / Generative AI Consultant
Location: [City / Hybrid / Remote]
Employment Type: Full-time
Experience: [X–Y years]
Role Overview
We are looking for an AI / Generative AI Consultant who can translate business challenges into practical, secure and scalable AI solutions. You will work with cross-functional teams to design, build and deploy AI-powered experiences using modern machine-learning and large-language-model technologies.
What You Will Do
- Identify, assess and prioritize high-value AI and GenAI use cases.
- Design solutions using LLMs, RAG, AI agents, NLP and machine-learning techniques.
- Develop proof of concepts and support enterprise-scale production deployments.
- Work with data engineers and business stakeholders to prepare trusted data for AI use.
- Establish model evaluation, safety controls, monitoring and documentation.
- Communicate technical concepts clearly to client and business audiences.
- Contribute to reusable accelerators, research and thought leadership.
What You Bring
- Experience in AI, machine learning, data science, software engineering or related fields.
- Working knowledge of Python, SQL and modern AI/ML frameworks.
- Familiarity with cloud-based data or AI platforms.
- Strong analytical, problem-solving and communication skills.
- A practical mindset that balances innovation, governance and business value.
Featured Role Template: Data Scientist / Machine Learning Engineer
Role Overview
As a Data Scientist or Machine Learning Engineer, you will develop models, data products and decision-support solutions that help clients predict, optimize and act with confidence.
What You Will Do
- Build, test and deploy predictive and classification models.
- Analyze structured and unstructured data to identify actionable insights.
- Develop feature pipelines, evaluation methods and model-monitoring processes.
- Partner with engineers to productionize AI and ML solutions through MLOps practices.
- Present findings through clear narratives, dashboards and decision-ready recommendations.
- Support responsible AI practices, including performance, bias and explainability evaluation.
Equal Opportunity Statement
GICinno is an equal opportunity employer. We make employment decisions based on qualifications, merit, business needs and potential, without discrimination based on characteristics protected by applicable law. We are committed to accessible recruitment practices and encourage candidates with disabilities to apply.
Careers
Do not see the right role?
We are always interested in meeting curious, capable people who want to shape the future of technology.