AI/ML Engineer (3-5 Years Experience)

YMinds.AI; Bengaluru Urban; On-site; INR 800,000 - 1,500,000; Full time

Job summary

YMinds.AI is seeking a skilled AI/ML Engineer located in Bengaluru Urban, Karnataka, with 3–5 years of hands-on experience in building machine learning models. The role involves designing, developing, and deploying machine learning models while collaborating with various teams.

The ideal candidate should possess strong programming skills in Python, experience with ML frameworks like TensorFlow and PyTorch, and a solid understanding of data processing and model optimization. Applicants should be prepared for a fast-paced, agile environment.

Qualifications

• 3–5 years of experience in machine learning or AI engineering roles.
• Strong programming skills in Python.
• Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Familiarity with SQL and working with structured/unstructured data.

Responsibilities

• Design, develop, and deploy machine learning and deep learning models.
• Work with large datasets to perform data cleaning and preprocessing.
• Collaborate with data scientists and software engineers.
• Monitor model performance and implement retraining pipelines.

Skills

Data processing

Model building

Productionizing AI solutions

Collaboration with teams

Education

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

Tools

Python

TensorFlow

PyTorch

Scikit-learn

Pandas

NumPy

REST APIs

Docker

AWS

Azure

Google Cloud

Spark

Hadoop

Job description

Our client is looking for a skilled AI/ML Engineer with 3–5 years of hands‑on experience in designing, developing, and deploying machine learning models. The ideal candidate will have strong expertise in data processing, model building, and productionizing AI solutions, along with a solid understanding of modern ML frameworks and tools.

Key Responsibilities

• Design, develop, and deploy machine learning and deep learning models for real‑world applications
• Work with large datasets to perform data cleaning, feature engineering, and preprocessing
• Build and optimize models for performance, scalability, and accuracy
• Collaborate with data scientists, software engineers, and product teams to deliver AI‑driven solutions
• Deploy models into production using APIs, microservices, or cloud platforms
• Monitor model performance and implement retraining pipelines
• Conduct experimentation and A/B testing to improve model outcomes
• Stay up to date with the latest advancements in AI/ML technologies

Required Skills & Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field
• 3–5 years of experience in machine learning or AI engineering roles
• Strong programming skills in Python (mandatory)
• Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Solid understanding of:
• Supervised & unsupervised learning
• Deep learning concepts
• Experience with data manipulation tools like Pandas, NumPy
• Familiarity with SQL and working with structured/unstructured data
• Experience in deploying models using REST APIs, Docker, or cloud services

Preferred Qualifications

• Experience with cloud platforms like AWS, Azure, or Google Cloud
• Knowledge of MLOps tools (MLflow, Kubeflow, Airflow, etc.)
• Experience with NLP, Computer Vision, or Generative AI use cases
• Familiarity with big data tools like Spark or Hadoop
• Understanding of CI/CD pipelines for ML systems

Soft Skills

• Strong problem‑solving and analytical thinking
• Good communication and collaboration skills
• Ability to work in a fast‑paced, agile environment

About YMinds.AI

YMinds.AI is a premier talent solutions company specializing in sourcing and delivering elite developers with expertise in cutting‑edge technologies. We help global enterprises and fast‑growing startups accelerate their product development by connecting them with engineers who excel in building intelligent, scalable, and future‑ready systems. Our clients are at the forefront of innovation, and we enable their success by providing exceptional talent that drives technological advancement.