Wonderful Career

AIMLEngineer

Position: AI/ML Engineer

Experience Level: Minimum 1 year

Location: Hyderabad

Employment Type: Full-time

Skill Set: Python,  ML libraries such as TensorFlow, PyTorch, or Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, AWS, Google Cloud, or Azure, deep learning and neural network architectures, SQL and database management.

Job Summary:

As an AI/ML Engineer, you will develop, implement, and optimize machine learning models and algorithms. You will work closely with data scientists, software engineers, and domain experts to build intelligent systems that solve real-world problems, natural language processing (NLP)

Key Responsibilities:

• Develop and implement machine learning models and algorithms for various applications.
• Analyze large datasets to extract meaningful insights and identify patterns.
• Collaborate with cross-functional teams to integrate ML models into production systems.
• Optimize models for performance, scalability, and robustness.
• Stay current with the latest research and advancements in AI and machine learning.
• Conduct experiments and evaluate model performance using appropriate metrics.
• Prepare technical documentation and present findings to stakeholders.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
• Minimum 1 year of experience in AI/ML, data science, or a related area.
• Strong programming skills in Python, including experience with ML libraries such as TensorFlow, PyTorch, or Scikit-learn.
• Solid understanding of machine learning concepts, algorithms, and techniques.
• Experience with data preprocessing, feature engineering, and model evaluation.
• Proficient in data analysis and visualization tools (e.g., Pandas, NumPy, Matplotlib, Seaborn).
• Excellent problem-solving skills and attention to detail.
• Strong communication and teamwork abilities.

Preferred Qualifications:

• Experience with cloud platforms such as AWS, Google Cloud, or Azure.
• Familiarity with deep learning and neural network architectures.
• Knowledge of natural language processing (NLP) and computer vision.
• Experience with software development best practices, including version control (e.g., Git) and agile methodologies.
• Familiarity with SQL and database management.