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As Senior Machine Learning Engineer, youll work with top notch engineers and data scientists from the team on bringing it to the next level and enabling optimal user experience. The work will focus on building, deploying and serving GenAI capabilities (Agents, Tools and the orchestration between them) using the most advanced technologies and models.
Key Job Responsibilities and Duties:
Deploying machine learning models: Design, develop and deploy in collaboration with scientists, scalable machine learning models and algorithms that provide content related insights and generative AI applications, ensuring scalability, efficiency, and accuracy.
Evaluating possible architecture solutions by taking into account cost, business requirements, emerging technologies, and technology requirements, like latency, throughput, and scale.
Generative AI Development: Contribute to the development of generative models such as GPT (Generative Pre-trained Transformer) variants or similar architectures for creative content generation, Q&A, translation or other innovative applications.
Deployment and integration: Work closely with software engineers to integrate machine learning models into production systems. Ensure seamless deployment and efficient model inference in real-time environments. Collaborate with DevOps to implement effective monitoring and maintenance strategies.
Owning a service end to end by actively monitoring application health and performance, setting and monitoring relevant metrics and acting accordingly when violated.
Maintain clean, scalable code, ensuring reproducibility and easy integration of models into production environments, including CI/CD.
Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions.

As an Engineering Manager working on the AI Application Platform, you will work at the intersection of scalable backend systems and cutting-edge AI. You will have the opportunity to lead a team building AI Applications and developing our Content Intelligence Platform that enables AI-powered experiences for millions of people. You will tackle complex performance and scaling challenges, and collaborate closely with ML Managers, Engineering Managers and Product Managers to bring intelligent systems into production at scale.
For more insights about the different business units and the scope of their projects and goals, please visit this page.
Key Job Responsibilities and Duties
The Engineering Manager plays a central role in managing, coaching, and fostering the growth of an engineering team. Their primary focus is to ensure that the development of both individual team members and the team as a whole aligns seamlessly with organizational objectives and direction.
Important aspects of the job can include:
Lead and develop a high performing engineering team, fostering a culture of excellence, collaboration, and innovation.
Partner with stakeholders to define, own, and deliver the teams roadmap, aligning technical goals with business priorities.
Drive technical quality and scalability through effective architectural decisions, best practices, and continuous improvement.
Oversee execution and delivery to ensure timely, high quality outcomes with optimized throughput.
Stay ahead of technology trends, guiding the team in adopting tools and methods that enhance productivity and product impact.

We are looking for a Enterprise Account Manager.
Responsibilities:
Build and maintain strong client relationships by understanding their unique needs and objectives, managing overall partnerships, and addressing escalations with internal teams to ensure SLAs are met.
Drive revenue growth by identifying opportunities for upselling and cross-selling within client accounts. Collaborate with the Regional lead and internal teams to develop and execute amendments supporting new solutions.
Ensure exceptional service delivery by meeting and exceeding client expectations, promptly addressing and resolving issues, and conducting regular partnership calls to understand clients' business needs and future.
Collaborate with the Regional lead and stakeholders to support RFPs and RFIs, contributing to the development of compelling proposals showcasing the company's value proposition, and participating in RFP interviews with the Sales team.
Strive to achieve individual and team KPIs as defined by the Organization, continuously monitor progress, and take corrective actions when necessary. Ensure alignment with the Service Delivery team and address issues proactively.
Optimize client interactions and sales strategies by utilizing playbooks and processes. Provide valuable feedback and suggestions for process improvements based on real-world client experiences.