AI Solutions Engineer
cubet· Software
About this role
Job Title: AI Solutions Engineer
Job Code: CJD1228
Experience: 7+ years
Job Location: Infopark, Kochi
Why Join Us?
- Innovative Environment: Join a forward-thinking company that encourages creativity and problem-solving.
- Career Growth: Opportunities for professional development and career advancement.
- Collaborative Culture: Work in a team-oriented environment where your contributions are valued.
- Competitive Compensation: Attractive salary package and performance-based incentives.
Role Overview
An experienced and innovative AI Solutions Engineer to design, develop, and deploy scalable AI/ML solutions that address business challenges - the ideal candidate bridges the gap between data science, software engineering, and business needs, translating requirements into production-ready intelligent systems.
Key Responsibilities
- Design, build, and deploy AI/ML models and solutions in production environments
- Collaborate with stakeholders to understand business requirements and translate them into AI-driven solutions
- Develop end-to-end pipelines including data ingestion, preprocessing, model training, evaluation, and deployment
- Integrate AI capabilities into existing applications using APIs, microservices, and cloud platforms
- Optimize model performance, scalability, and cost efficiency
- Monitor deployed models, ensuring reliability, accuracy, and continuous improvement
- Work closely with data scientists, software engineers, and DevOps teams
- Stay up to date with advancements in AI/ML technologies and recommend best practices
- Build documentation, reusable components, and solution architectures
Required Skills
- Strong understanding of machine learning, deep learning, and AI concepts
- Proficiency in Python (TensorFlow, PyTorch, Scikit-learn)
- Experience with LLMs, NLP, Computer Vision, or Generative AI
- Knowledge of data engineering (ETL pipelines, SQL, Spark, etc.)
- Experience with cloud platforms (Azure, AWS, or GCP) and ML services
- Familiarity with MLOps tools (MLflow, Kubeflow, Docker, Kubernetes)
- Experience building REST APIs and microservices
- Understanding of version control (Git) and CI/CD pipelines
Soft Skills
- Excellent communication and teamwork abilities.
- Strong problem-solving and analytical skills.
- Ability to work in cross-functional teams.
- Ability to translate complex technical concepts into business value
Qualifications
- Bachelor’s degree in Computer Science, AI, Data Science, or related field
Frequently Asked Questions
Is the salary disclosed for the AI Solutions Engineer position at cubet?
The salary for this AI Solutions Engineer role at cubet is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Is the AI Solutions Engineer role at cubet full-time or part-time?
This is listed as a FULL TIME position. It is posted as a AI Solutions Engineer role in the Software department at cubet.
Which team or department does the AI Solutions Engineer at cubet belong to?
This AI Solutions Engineer position is part of the Software department at cubet. See the full job description for more information about the team structure and responsibilities.
How do I apply for the AI Solutions Engineer position at cubet?
Click the "Apply Now" button on this page. You will be redirected to cubet's official application portal hosted on keka where you can submit your application directly.
When was the AI Solutions Engineer job at cubet posted?
This AI Solutions Engineer position at cubet was posted on Jun 15, 2026. Apply as soon as possible — early applications are often reviewed first.
AI Solutions Engineer
cubet
You'll be redirected to cubet's official application page on keka.