ML Engineer

Cubet Techno Labs; Ernakulam; On-site; INR 700,000 - 1,200,000; Full time

Benefits offered by this job

Innovative Environment

Career Growth

Collaborative Culture

Competitive Compensation

Job summary

Cubet Techno Labs is seeking a skilled Machine Learning Engineer based in Ernakulam, Kerala. In this role, you will design, build, and deploy machine learning models, collaborating closely with data scientists and software engineers to transform data into actionable insights.

Your responsibilities include developing end-to-end ML workflows, optimizing model performance, and implementing Generative AI solutions. Candidates should have a strong background in machine learning algorithms, Python, and experience with cloud platforms.

Qualifications

• Strong understanding of machine learning algorithms and statistical modeling.
• Proficiency in Python and ML libraries such as Scikit-learn, TensorFlow, and PyTorch.
• Experience with data structures, algorithms, and software engineering principles.

Responsibilities

• Design, develop, and deploy scalable machine learning models and pipelines.
• Build and maintain end-to-end ML workflows.
• Collaborate with data scientists to operationalize models into production environments.

Skills

Machine learning algorithms understanding

Proficiency in Python

Experience with ML libraries

Data structures and algorithms knowledge

SQL and databases experience

Cloud platforms familiarity

CI/CD pipelines experience

Containerization knowledge

Education

Bachelor’s degree in Computer Science, Data Science, or related field

Tools

Scikit-learn

TensorFlow

PyTorch

MLflow

Kubeflow

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

We are seeking a skilled Machine Learning Engineer to design, build, and deploy machine learning models and systems at scale. The role involves working closely with data scientists, software engineers, and business teams to transform data into actionable insights and production-ready ML solutions.

Key Responsibilities

• Design, develop, and deploy scalable machine learning models and pipelines
• Build and maintain end-to-end ML workflows (data collection, preprocessing, training, evaluation, deployment)
• Collaborate with data scientists to operationalize models into production environments
• Optimize model performance, accuracy, and latency
• Implement data validation, monitoring, and model retraining strategies
• Develop APIs and microservices to serve ML models
• Work with large datasets using distributed systems and big data tools
• Ensure reliability, scalability, and performance of ML systems
• Maintain proper documentation and version control for models and pipelines
• Design and implement Generative AI solutions using Large Language Models (LLMs).
• Develop and optimize Retrieval-Augmented Generation (RAG) pipelines.
• Build AI agents and workflow automation using modern AI frameworks.

Required Skills

• Strong understanding of machine learning algorithms and statistical modeling
• Proficiency in Python and ML libraries (Scikit-learn, TensorFlow, PyTorch)
• Experience with data structures, algorithms, and software engineering principles
• Knowledge of data preprocessing and feature engineering techniques
• Experience with SQL and databases
• Familiarity with cloud platforms (AWS, Azure, or GCP)
• Experience managing ML lifecycle using tools such as MLflow, Weights & Biases, Kubeflow, or similar platforms.
• Experience with CI/CD pipelines and version control (Git)
• Familiarity with ETL/ELT workflows and data orchestration platforms.

Preferred Skills

• Experience with big data tools (Spark, Hadoop)
• Knowledge of deep learning, NLP, or computer vision
• Experience deploying models using REST APIs or microservices frameworks (FastAPI, Flask)
• Familiarity with containerization and orchestration tools (Docker, Kubernetes)
• Experience with LLM frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, or similar.
• Experience in model monitoring and drift detection

Soft Skills

• Excellent communication and teamwork abilities.
• Strong problem-solving and analytical skills.
• Attention to detail and quality
• Ability to work in cross-functional teams.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or related field.