INDI Staffing Services

At INDI, we're passionate about empowering individuals and businesses worldwide. Our cutting-edge recruiters connect leading companies with top talent, fostering a dynamic environment where innovation thrives. Join us in shaping the future of work. Overview of the role: The Solutions Engineer will play a key role in driving enterprise adoption of an advanced data and AI platform. This position involves architecting and implementing end-to-end solutions, engaging in technical discussions with clients, and ensuring seamless integration of AI technologies to accelerate customer success. Key responsibilities: - Collaborating with customers, partners, and prospects to design tailored data and AI solutions. - Architecting machine learning pipelines from data ingestion through deployment and monitoring. - Leading technical conversations around MLOps, data science workflows, and Generative AI adoption. - Owning the technical sales process, from pre-sales to post-sales support. - Delivering technical demonstrations, proof-of-concepts, and whiteboarding sessions. - Evangelizing the platform's AI vision to both technical and business stakeholders. - Working closely with Account Executives to drive strategic growth and customer success. - Coordinating with Product, R&D, Marketing, and Customer Success teams. Requirements: - Experience: At least 5 years in a customer-facing technical role. - Education: Bachelor's degree or higher in Computer Science, Engineering, or related discipline. - AI/ML Expertise: Proven hands-on experience as an AI/ML practitioner with knowledge of MLOps pipelines. - Generative AI: Practical experience with Generative AI models and frameworks. - Communication: Ability to clearly articulate complex AI concepts to technical and non-technical audiences. - Language Proficiency: Advanced level of English. Additional skills preferred: - Frameworks & Tools: Familiarity with MLflow, Kubeflow, Airflow, and common ML libraries. - Programming: Strong Python skills and experience with Jupyter Notebooks. - Cloud & Infrastructure: Knowledge of cloud-based AI platforms, pipeline orchestration, and DevOps practices. - Generative AI: Exposure to Generative AI toolkits and development of enterprise-grade applications. - Certifications: Relevant cloud or enterprise platform certifications. - Systems Knowledge: Solid understanding of Unix/Linux environments. What to expect from us: - Compensation: Excellent salary in USD or your preferred local currency. - Work-Life Balance: Paid parental leave, vacation, and national holidays. - Environment: Innovative and multicultural workplace. - Collaboration: Work alongside the global Top 1% of talent. - Growth: Mentorship, promotions, and continuous skill development. If you are interested in being part of a team composed of the best professionals and working 100% goal-oriented in an innovative environment, do not hesitate to apply!