This role involves providing end-to-end advisory and overlaying industry insights to formulate technology-enabled solutions for clients. Responsibilities include managing assessment and business requirements gathering, reviewing functional specifications, supporting prototyping and architecture redesign, and engaging clients in workshops. The position requires developing trusted client relationships, ensuring quality assurance, and coaching project teams to maintain operational excellence. The consultant will meet clients regularly to define problem statements and develop responses to enquiries.

The AI Expert (LLMs & Generative AI) is responsible for designing, developing, and scaling AI solutions that leverage Large Language Models (LLMs), Generative AI, and modern AI platforms to solve business challenges and create measurable value. This role works closely with business stakeholders, AI Business Partners, data engineers, and solution architects to translate requirements into production-ready AI applications, including copilots, intelligent assistants, agentic workflows, knowledge management solutions, and process automation use cases. The AI Expert evaluates emerging AI technologies, establishes technical best practices, ensures responsible AI implementation, and drives the adoption of scalable AI architectures aligned with enterprise standards, security requirements, and governance frameworks. Qualification: * Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field, with 5+ years of experience in software development, machine learning, data science, or AI engineering. * Strong expertise in Large Language Models (LLMs), Generative AI, prompt engineering, Retrieval-Augmented Generation (RAG), vector databases, AI agents, and model orchestration frameworks. * Hands-on experience with leading AI platforms and cloud services such as Azure AI, Azure OpenAI, Google Vertex AI, AWS Bedrock, or equivalent technologies. * Proficiency in Python and modern AI development frameworks, with a solid understanding of machine learning concepts, API integrations, MLOps, and enterprise solution architecture. * Strong analytical, problem-solving, and communication skills, with the ability to explain complex technical concepts to both technical and business audiences. * Experience implementing responsible AI practices, model evaluation frameworks, and production-grade AI solutions is highly desirable.

Job Description * Collaborate with cross-functional teams to identify and prioritize business opportunities that can be addressed through data-driven solutions * Extract insights from large and complex datasets using a variety of tools and techniques * Develop and deploy predictive models and algorithms using statistical AI/machine learning, deep learning and generative AI modeling * Present findings and recommendations to stakeholders in a clear and compelling manner * Implement data-driven solutions in various environments, including integration with existing systems and processes * Stay up to date on the latest development in data science and bring new idea and technology to the team * Monitor the performance of deployed models together with algorithms and continuously improve model accuracy over time Qualifications * Bachelor’s or Master’s degree in data science, Computer Science, Statistics, or related field * 4+ years of experience as a Data Scientist, with a focus on industries * Descriptive Analytics * Predictive & Prescriptive Analytics (Machine learning, Forecasting, Optimization, choosing the best path) * Strong programming skills in Python and SQL along with libraries and frameworks for machine learning and statistical test, and their variation among databases * Experience with statistical and machine learning techniques * Proficiency in optimizing large, complicated SQL statements and code versioning tools such as Git, Mercurial, SVN or others * Experience with data visualization tools such as Looker Studio, Tableau, and Power BI * Strong problem-solving and communication skills * Experience with Cloud technology and databases (Cloud AWS, Azure, GCP) * Extensive knowledge of Customer relationship management, Customer experience, Next best action, Credit scoring, and Insight & pattern discovery

**Roles and Responsibilities** * Design and implement scalable, reliable, and efficient data pipelines for ingesting, processing, and storing large amounts of data from a variety of sources using cloud-based technologies, Python, and PySpark. * Build and maintain data lakes, data warehouses, and other data storage and processing systems on the cloud. * Write and maintain ETL/ELT jobs and data integration scripts to ensure smooth and accurate data flow. * Implement data security and compliance measures to protect data privacy and ensure regulatory compliance. * Collaborate with data scientists and analysts to understand their data needs and provide them with access to the required data. * Stay up-to-date on the latest developments in cloud-based data engineering, particularly in the context of Azure, AWS and GCP, and proactively bring new ideas and technologies to the team. * Monitor and optimize the performance of data pipelines and systems, identifying and resolving any issues or bottlenecks that may arise. **Qualifications** * Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field. * Minimum of 5 years of experience as a Data Engineer, with a strong focus on cloud-based data infrastructure. * Proficient programming skills in Python, Java, or a similar language, with an emphasis on Python. * Extensive experience with cloud-based data storage and processing technologies, particularly Azure, AWS and GCP. * Familiarity with ETL/ELT tools and frameworks such as Apache Beam, Apache Spark, or Apache Flink. * Knowledge of data modeling principles and experience working with SQL databases. * Strong problem-solving skills and the ability to troubleshoot and resolve issues efficiently. * Excellent communication and collaboration skills to work effectively with cross-functional teams.

This role involves providing end-to-end advisory services and overlaying industry insights onto research and analyses to formulate innovative technology-enabled solutions. You will manage assessment and business requirements gathering processes, review functional specifications, and support solutions prototyping and architecture redesign. The position requires engaging with clients through discussions, presentations, and workshops to validate technology solutions and perform work product walkthroughs. You will also develop trusted client relationships, ensure quality assurance and timely delivery, and actively coach project teams to maintain operational excellence. Additionally, you will meet clients regularly to define problem statements, analyze key priorities, and develop responses to client enquiries.

You will provide end-to-end advisory services by overlaying industry insights and research analyses to formulate innovative technology-enabled solutions that address client business needs. You will manage the assessment and business requirements gathering processes, review functional specifications against problem statements, and support solutions prototyping and architecture redesign. You will engage with clients through discussions, presentations, and workshops to validate technology solutions and perform work product walkthroughs. You will develop trusted relationships with clients and gain recognition for technical and advisory capabilities. Additionally, you will provide quality assurance to ensure timely delivery of work products and actively coach project teams to maintain operational excellence. You will meet clients regularly to define problem statements, analyze key priorities, and collaborate with senior team members to develop responses to client enquiries and formulate proposals.

You will be responsible for designing, developing, and maintaining the infrastructure, cloud platforms, and deployment pipelines for Qonnect's Industrial IoT, AI, and software applications. You will collaborate with software developers, data/AI engineers, and project managers to ensure systems are deployed rapidly, securely, and stably to support real-world industrial customer usage. Your role involves managing cloud environments, automating deployment processes, and ensuring high availability and reliability of the platform.

We are looking for an Offensive Security Engineer to proactively identify, validate, and prioritize security vulnerabilities across applications, infrastructure, and cloud environments. This role requires a deep understanding of red teaming, penetration testing, and threat-informed analysis. You will leverage modern automation and AI-assisted security techniques to enhance detection and remediation outcomes. The position involves hands-on work with web, API, network, cloud, mobile, and LLM environments to ensure robust security posture. You will utilize security tools such as Burp Suite, Nmap, Metasploit, Nessus/Qualys, and cloud security tools to perform manual exploitation beyond automated scanning. The role demands strong knowledge of OWASP Top 10, MITRE ATT&CK, and modern application architectures to understand common attack techniques and vulnerability chaining. You will assess and prioritize security risks based on technical severity and business impact, communicating findings effectively to engineering teams and executives.

You will provide end-to-end advisory services by overlaying industry insights and research analyses to formulate innovative technology-enabled solutions that address client business needs. You will manage the assessment and business requirements gathering processes, review functional specifications against problem statements, and support solutions prototyping and architecture redesign. You will engage clients through discussions, presentations, and workshops to validate technology solutions and perform walk-throughs of deliverables. You will develop trusted relationships with clients and gain recognition for technical and advisory capabilities. You will provide quality assurance to ensure timely delivery of work products and actively coach project teams to maintain operational excellence. You will meet clients regularly to define problem statements, analyze key priorities, and work with senior team members to develop responses to client enquiries and formulate proposals.

Lead large, transformational deals from origination through delivery stabilization as a customer-facing executive. You will manage cross-functional teams, drive deal structuring, and ensure customer value and Microsoft profitability. This role involves leading Strategic Deal pursuit, negotiation, and close phases, as well as overseeing delivery stabilization and financial performance. You will act as the main counterpart for the customer and work closely with executive sponsors to shape business outcomes. The position requires leveraging the full breadth of Microsoft resources to deliver differentiated solutions and manage escalations effectively. You will be accountable for the financial performance of the deal, including Azure Consumed Revenue (ACR), ISD revenue and margins, and approve key deal levers. You will manage escalations and conflict resolution, ensuring open dialogue and win-win solutions. Collaboration across internal leaders and sharing knowledge are essential to achieve common objectives. The role demands adaptability and resilience in the face of uncertainty, with a focus on continuous learning and innovation.