AI/ML Engineer

eazygurus; Hyderabad; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

eazygurus in Hyderabad is seeking an AI/ML Engineer to design, develop, and deploy ML solutions. You will work with data scientists, product teams, and engineers to build scalable AI models that solve real-world problems.

The ideal candidate has 2–5 years of AI/ML experience, strong Python, hands-on with TensorFlow, PyTorch, and Scikit-learn, and a solid grasp of ML algorithms and statistics. Proficiency with Pandas, NumPy, and SQL, plus experience deploying ML models into production, is

Qualifications

• 2–5 years of experience in AI/ML engineering or related roles.
• Strong programming skills in Python.
• Hands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Solid understanding of machine learning algorithms and statistics.
• Experience with data processing libraries (Pandas, NumPy).
• Knowledge of SQL and data handling techniques.
• Experience deploying ML models in production environments.

Responsibilities

• Design, develop, and deploy machine learning models and AI solutions
• Build and optimize data pipelines for model training and inference
• Work on supervised and unsupervised learning, NLP, or computer vision use cases
• Evaluate, tune, and improve model performance
• Deploy models into production and collaborate with MLOps teams
• Monitor model performance and retrain models as needed
• Collaborate with cross-functional teams to translate business needs into AI solutions
• Document models, experiments, and processes

Skills

Python

TensorFlow

PyTorch

Scikit-learn

Pandas

NumPy

SQL

Model deployment

Tools

TensorFlow

PyTorch

Scikit-learn

Job description

Location: Hyderabad

Experience: 2–5 Years

Employment Type: Full-time

About the Role

We are looking for a skilled AI/ML Engineer to design, develop, and deploy machine learning and AI solutions. You will work closely with data scientists, product teams, and engineers to build scalable, high-performance AI models that solve real-world problems.

Key Responsibilities

• Design, develop, and deploy machine learning models and AI solutions
• Build and optimize data pipelines for model training and inference
• Work on supervised and unsupervised learning, NLP, or computer vision use cases
• Evaluate, tune, and improve model performance
• Deploy models into production and collaborate with MLOps teams
• Monitor model performance and retrain models as needed
• Collaborate with cross-functional teams to translate business needs into AI solutions
• Document models, experiments, and processes

Required Skills & Qualifications

• 2–5 years of experience in AI/ML engineering or related roles
• Strong programming skills in Python
• Hands‑on experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn)
• Solid understanding of machine learning algorithms and statistics
• Experience with data processing libraries (Pandas, NumPy)
• Knowledge of SQL and data handling techniques
• Experience deploying ML models in production environments

Good to Have

• Experience with NLP, Computer Vision, or Generative AI
• Familiarity with cloud platforms (AWS, Azure, or GCP)
• Exposure to MLOps tools and practices
• Experience with APIs, microservices, and containerization

What We Offer

• Opportunity to work on cutting-edge AI and ML projects
• Collaborative and innovation-driven work environment
• Career growth and learning opportunities