Location
In office
Seniority
Senior · 7+ years exp
Employment
Full-Time
Confirmed on the employer's own hiring board on Sep 29, 2026. First seen by Alion on Jun 15, 2026.
Overview
Company
Impact
Profile match
Cubet is a leading digital transformation company, offering Custom Software Development and AI Solutions, ensuring exceptional experiences on mobile, cloud, and web platforms.
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
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