Solutions Engineer
3 weeks ago
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
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