The job in short
Building AI solutions for clients.
MicroservicesData science
Details
- Found
- 21 d ago · posted 2026-06-15
- Role
- Machine Learning / AI Engineer
- Source
- The company’s own careers site
Full description
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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