Solutions Engineer

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!