AI Solution Engineer

Deadline :- 10th July 2025

Are you passionate about translating complex AI concepts into practical, impactful solutions?

We’re seeking a dynamic AI Solutions Engineer with 1-3 years of experience to bridge the gap between our cutting-edge AI models and real-world business challenges. You’ll be instrumental in designing, implementing, and deploying AI-powered solutions for our clients.

What You’ll Do: –

Work closely with clients and internal teams to understand business requirements and translate them into AI solution designs.

– Design and architect end-to-end AI solutions, leveraging various AI/ML models (e.g., NLP, computer vision, predictive analytics).

– Develop prototypes and proofs-of-concept to demonstrate the feasibility and value of AI solutions.

– Implement, integrate, and deploy AI models into production environments.

– Provide technical expertise and guidance on AI capabilities and limitations.

– Monitor the performance of deployed AI solutions and recommend improvements.

– Collaborate with data scientists, AI engineers, and software developers to ensure seamless solution delivery.

– Stay abreast of the latest AI trends, technologies, and industry best practices.

What We’re Looking For:

– 1-3 years of experience in an AI/ML engineering, solutions architecture, or similar client-facing technical role.

Candidates with 3+ years of experience are also highly encouraged to apply for senior roles.

– Strong understanding of various AI/ML concepts and algorithms.

Proficiency in Python and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).

– Experience with cloud platforms for AI development and deployment (e.g., AWS, Google Cloud, Azure).

– Ability to effectively communicate complex technical concepts to non-technical stakeholders.

– Strong problem-solving skills and a solution-oriented mindset.

– Excellent interpersonal and presentation skills.

– Ability to manage multiple projects and priorities.

Bonus Points If You Have:

– Experience with MLOps tools and practices.

– Familiarity with containerization technologies (e.g., Docker, Kubernetes).

– Experience with API development for AI model integration.

– Prior experience in consulting or client-facing roles.

If you’re a skilled problem-solver eager to bring AI solutions to life and make a tangible impact, we encourage you to apply!

Apply Online 👉 careers@ceyentra.com