The Senior Content Specialist will develop strategic and engaging content for sales and marketing, translating complex AI concepts into clear narratives while collaborating with teams.

The AI Research Scientist will drive AI advancements in generative modeling and reinforcement learning, translating insights into impactful research and real-world applications.

The PR & Media Relations Specialist will build relationships with media, increase brand visibility, secure coverage, and contribute to thought leadership in the tech sector.

The Machine Learning Engineer will collaborate with Developers, Designers, and Data Scientists to implement and test machine learning models for product integration. Responsibilities include exploring advanced machine learning research, mentoring team members, and delivering efficient production-level code, with a focus on areas like Recommender Systems and NLP.

As a MLOps Engineer, you will oversee the productionization of machine learning models, focusing on deployment, monitoring, and performance maintenance. You'll work with large language models, implement batch inferences, and manage data/model drift in production environments.

The Business Analyst will analyze business processes and gather requirements to support key project implementations. They will create documentation and facilitate System Testing and UATs, acting as a liaison between stakeholders and technical teams to improve operational efficiency.

The Commercial Planning and Analysis Manager will develop and implement business plans to drive growth and profitability. Responsibilities include analyzing customer needs, creating dashboards, designing pricing models, and collaborating with internal teams to optimize lead generation and market strategies.

The Technical Recruiter will join the HR team to source, screen, and shortlist candidates for IT roles. Responsibilities include networking to promote the employer brand, reducing time-to-hire, and building a tech talent pipeline for the company. The role also requires technical expertise to understand job requirements for various IT positions.

As a Presales Engineer, you will collaborate with account executives, support sales strategies, and communicate the value of products and services to clients. Your role includes matching client needs with solutions and providing technical insights to ensure customer satisfaction using cutting-edge technologies.

As a Project Manager, you will manage key client projects from pre-sales to delivery, ensuring timely delivery and desired results. You will maintain project documentation, manage client relationships, and coordinate with technical teams throughout the project lifecycle.

As a Senior DevOps Engineer, you will optimize technology for customers, enhance server performance, implement infrastructure solutions, and collaborate with teams for software delivery. You will maintain cloud platforms and ensure high availability and security of systems, while also troubleshooting production issues and implementing best practices in DevOps.

As a Senior Backend Developer, you will develop and maintain Python and Node.js microservices, work on a BI analytics platform, research solutions, and suggest UX improvements. You will collaborate with a talented team and utilize your skills in distributed systems, Docker, and cloud technologies.

The Customer Success Engineer at iGenius will ensure customers succeed with their products by providing exceptional service and support. Responsibilities include onboarding clients, troubleshooting technical issues, gathering feedback, and collaborating with internal teams to enhance customer experiences and maximize product usage.

As an AI Software Engineer, you will design and optimize data pipelines for AI model training, manage data ingestion processes, and ensure compliance with data regulations. You will build distributed systems for large datasets, collaborate with cross-functional teams, and evaluate new techniques to enhance dataset quality.

The Senior Business Analyst will analyze market trends and strategies, develop presentations and reports, and create effective business narratives, especially focusing on AI and emerging technologies.

The AI Engineer will implement and scale large language models, optimize AI systems for production, collaborate on AI infrastructure, and ensure robust performance and safety measures.

The AI Researcher will advance research in large language models, develop algorithms, analyze datasets, collaborate on applications, publish findings, and mentor junior researchers.

The Senior Financial AI Specialist will leverage AI in finance, collaborating with teams to develop models, ensure compliance, and drive AI adoption.

iGenius invites spontaneous applications for roles across technology, sales, design, and product, aiming to foster innovation and inclusivity.

Lead the development and deployment of AI models for financial applications, ensuring compliance and mentoring junior data scientists.