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AI Solutions Engineer

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Onsite

AI Solutions Engineer

Cubet

AI Solutions Engineer

Skills

Google Cloud PlatformSQL QueriesData EngineeringDeep LearningDockerPythonData ScienceMicroservicesPyTorchTensorFlowGitMachine LearningAIAWSKubernetesNLP / Natural Language ProcessingAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Kochi, Kerala, India

Work mode:

Onsite

Published on:

11 August 2026

What they need


Job Title: AI Solutions Engineer

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 OverviewAn 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

  • Bachelors degree in Computer Science, AI, Data Science, or related field

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