AI Solutions Engineer

Cubet Techno Labs; Ernakulam; On-site; INR 800,000 - 1,200,000; Full time

Benefits offered by this job

Innovative Environment

Career Growth

Collaborative Culture

Competitive Compensation

Job summary

Cubet Techno Labs in Ernakulam, India is looking for an experienced AI Solutions Engineer to design, develop, and deploy scalable AI/ML solutions. This role requires bridging the gap between data science, software engineering, and business needs, effectively translating requirements into intelligent systems.

The ideal candidate will possess in-depth knowledge of machine learning and deep learning principles, proficiency in Python, and a strong background in various AI technologies. The position offers opportunities for career growth in a collaborative environment.

Qualifications

• 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).
• 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.

Responsibilities

• Design, build, and deploy AI/ML models and solutions in production environments.
• Collaborate with stakeholders to understand business requirements.
• Develop end-to-end pipelines including data ingestion, preprocessing, model training, evaluation, and deployment.
• Integrate AI capabilities into existing applications using APIs and microservices.
• 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.
• Build documentation, reusable components, and solution architectures.

Skills

Machine learning fundamentals

Deep learning proficiency

Python (TensorFlow, PyTorch, Scikit-learn)

Experience with LLMs, NLP, Computer Vision

Data engineering knowledge (ETL, SQL, Spark)

Cloud platforms expertise (Azure, AWS, GCP)

MLOps tools familiarity (MLflow, Kubeflow)

REST APIs and microservices experience

Version control (Git) and CI/CD knowledge

Education

Bachelor's degree in Computer Science, AI, Data Science

Tools

TensorFlow

PyTorch

Scikit-learn

Docker

Kubernetes

Job description

• 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