AI/ML Engineer Jobs in Hyderabad

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AI/ML Engineer Jobs in Hyderabad

AI/ML Engineer Jobs in Hyderabad

Job Category: Artificial Intelligence & Machine Learning
Job Title: AI/ML Engineer
Experience: Freshers to Senior Professionals
Location: Hyderabad, Telangana, India
Employment Type: Full-Time
Work Mode: On-Site, Hybrid, or Remote depending on employer requirements

Job Overview

Explore AI/ML Engineer jobs in Hyderabad for professionals working across artificial intelligence, machine learning, deep learning, Generative AI, NLP, computer vision, and data-driven applications.

These opportunities may suit fresh graduates as well as experienced engineers who can build, evaluate, deploy, and maintain machine learning models and AI-powered software applications.

Key Responsibilities

  • Develop, train, test, and optimize machine learning models.
  • Analyze and prepare structured and unstructured datasets.
  • Build AI-powered applications and intelligent automation solutions.
  • Perform feature engineering, model evaluation, and hyperparameter tuning.
  • Develop data and ML pipelines for production applications.
  • Integrate machine learning models with software applications and APIs.
  • Deploy models using cloud and containerized environments.
  • Monitor model performance and improve production systems.
  • Collaborate with software engineers, data scientists, product teams, and business stakeholders.
  • Write maintainable, scalable, and well-tested code.
  • Participate in code reviews, technical discussions, and Agile development.

Machine Learning Skills

Depending on the position, employers may require experience with:

  • Supervised and unsupervised learning
  • Classification and regression
  • Clustering
  • Feature engineering
  • Model validation and evaluation
  • Hyperparameter optimization
  • Scikit-learn
  • XGBoost
  • TensorFlow
  • PyTorch

AI & Generative AI Skills

Candidates may work with modern AI technologies such as:

  • Deep learning
  • Natural Language Processing (NLP)
  • Computer Vision
  • Large Language Models (LLMs)
  • Generative AI
  • Retrieval-Augmented Generation (RAG)
  • Prompt engineering
  • Embeddings
  • Vector databases
  • AI APIs
  • Model fine-tuning
  • AI agents and intelligent applications

Programming & Data Technologies

Common technical requirements include:

  • Python
  • Object-oriented programming
  • Data structures and algorithms
  • SQL
  • Pandas
  • NumPy
  • REST APIs
  • Git
  • Data preprocessing
  • Data pipelines
  • Apache Spark

Knowledge of Java, C++, or other programming languages can be useful for certain AI/ML engineering roles.

Cloud & MLOps

Experience with cloud and production ML technologies may include:

  • AWS
  • Microsoft Azure
  • Google Cloud Platform
  • Docker
  • Kubernetes
  • CI/CD
  • MLflow
  • Model deployment
  • Model monitoring
  • Cloud-based data platforms

Experience Levels

AI/ML Engineer – Fresher

Fresh graduates and entry-level candidates may be considered with:

  • Strong Python fundamentals
  • Basic machine learning knowledge
  • Understanding of statistics and model evaluation
  • Academic or personal AI/ML projects
  • SQL and data handling skills
  • Familiarity with Git
  • Good programming and problem-solving skills

Mid-Level AI/ML Engineer

Mid-level roles may involve:

  • Developing production machine learning models
  • Building ML pipelines and APIs
  • Working with large datasets
  • Deploying models to cloud environments
  • Improving model performance
  • Working with software and data engineering teams
  • Troubleshooting production AI/ML systems

Senior AI/ML Engineer

Senior positions may involve:

  • Designing scalable AI/ML architectures
  • Developing production-grade ML solutions
  • Building LLM and Generative AI applications
  • Implementing MLOps and model monitoring
  • Reviewing technical designs and code
  • Leading AI/ML development initiatives
  • Mentoring junior engineers
  • Collaborating with product and engineering stakeholders

Education & Qualifications

Typical educational backgrounds include:

  • B.Tech / B.E.
  • M.Tech
  • MCA
  • M.Sc.
  • M.E.
  • Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Mathematics, Statistics, or related fields.

Relevant internships, certifications, research work, GitHub projects, and practical AI/ML experience can also be valuable.

Job Opportunities in Hyderabad

AI/ML Engineer opportunities in Hyderabad may be available across:

  • Artificial Intelligence
  • Machine Learning
  • Generative AI
  • Data Science
  • NLP
  • Computer Vision
  • Deep Learning
  • MLOps
  • Data Engineering
  • Cloud AI
  • Applied AI
  • AI Software Engineering

How to Apply

Candidates interested in AI/ML Engineer jobs in Hyderabad can submit an updated resume highlighting their Python, machine learning, AI, Generative AI, data, cloud, and software development skills. Include relevant projects, certifications, internships, and professional experience where applicable.

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