AI / ML Engineer (Remote)

Codvo.ai; Pune District; Remote; INR 1,200,000 - 1,800,000; Full time

Job summary

Codvo.ai is seeking an experienced AI/ML Engineer to design, develop, and deploy scalable machine learning and deep learning solutions. The ideal candidate will possess over 5 years of experience, strong skills in Python and PyTorch, and experience with computer vision and MLOps. Responsibilities include optimizing ML models on AWS, collaborating with cross-functional teams, and ensuring high quality in production-ready AI systems. This position offers a dynamic work environment and the opportunity to create impactful AI solutions.

Qualifications

• 5+ years of experience in AI/ML, with strong proficiency in Python.
• Hands-on experience with PyTorch for model development.
• Solid understanding of deep learning architectures like CNNs.

Responsibilities

• Design and develop scalable machine learning and deep learning models.
• Build and deploy computer vision solutions.
• Implement and maintain MLOps workflows and CI/CD.

Skills

Python

PyTorch

Deep Learning Architectures

Computer Vision

AWS Services

Databricks

MLOps Tools

Software Engineering Principles

Tools

Docker

Kubernetes

Job description

Job Title: AI/ML Engineer

Job Summary We are seeking a highly skilled AI/ML Engineer to design, develop, and deploy scalable machine learning and deep learning solutions. The ideal candidate will have strong experience in computer vision, deep learning frameworks, and cloud-based ML deployment, along with solid software engineering and MLOps practices. You will work closely with cross-functional teams to build production-ready AI systems that deliver real business impact.

Experience: 5+ Years

Location: Bangalore

Timings: 2:30 to 11:30 PM IST

Key Responsibilities

• Design, develop, and optimize machine learning and deep learning models using PyTorch.
• Build and deploy computer vision solutions for real-world use cases.
• Develop end-to-end ML pipelines, including data ingestion, preprocessing, training, validation, and deployment.
• Implement and maintain MLOps workflows for model versioning, monitoring, CI/CD, and retraining.
• Deploy and scale ML models on AWS cloud infrastructure.
• Work with large-scale datasets using Databricks and distributed computing frameworks.
• Collaborate with data scientists, product managers, and software engineers to translate business requirements into AI solutions.
• Ensure high code quality by following software engineering best practices (modular design, testing, documentation).
• Monitor model performance in production and continuously improve accuracy, efficiency, and reliability.

Required Skills & Qualifications

• Strong proficiency in Python for machine learning and software development.
• Hands‑on experience with PyTorch for deep learning model development.
• Solid understanding of deep learning architectures (CNNs, transfer learning, etc.).
• Practical experience in computer vision applications.
• Experience working with Databricks and large-scale data processing.
• Strong knowledge of AWS services for ML deployment (EC2, S3, SageMaker, etc.).
• Experience with MLOps tools and practices (model deployment, monitoring, CI/CD).
• Good understanding of software engineering principles and production‑grade system design.

Preferred Qualifications

• Experience deploying ML models in production environments.
• Familiarity with containerization tools such as Docker and orchestration platforms like Kubernetes.
• Exposure to real‑time or batch inference systems.
• Experience working in agile or fast‑paced development environments.

Nice to Have

• Experience with optimization and performance tuning of ML models.
• Knowledge of data security and compliance in cloud environments.
• Experience with monitoring tools for ML model performance and drift detection.