AI/ML Engineer

As an AI/ML Engineer at Emblematic Tech Solutions, you will be responsible for developing and deploying AI/ML models and algorithms.

• Model Development:

  • Design, develop, and optimize machine learning models and algorithms.
  • Conduct research to solve complex problems using AI/ML techniques.
    
    

• Data Processing and Analysis:

  • Collect, preprocess, and analyze large datasets for model training and evaluation.
  • Implement data cleaning, transformation, and feature engineering techniques.
    
    

• Model Deployment:

  • Deploy machine learning models into production environments and ensure scalability and reliability.
  • Collaborate with software engineers to integrate models into applications.
    
    

• Model Evaluation and Improvement:

  • Evaluate model performance, identify areas for improvement, and iterate models based on feedback.
  • Implement techniques for model validation and testing.
    
    

• Collaboration and Documentation:

  • Collaborate with cross-functional teams to understand business needs and translate them into AI/ML solutions.
  • Prepare comprehensive documentation of AI/ML models, methodologies, and processes.

• Master’s or Ph.D. in Computer Science, Engineering, Statistics, or a related field.
• Proven experience as an AI/ML Engineer, Data Scientist, or in a similar role.
• Strong proficiency in programming languages such as Python, R, or Java.
• Solid understanding of machine learning algorithms and deep learning frameworks (e.g., TensorFlow, PyTorch).
• Experience with data processing libraries and tools (e.g., Pandas, NumPy, scikit-learn).
• Knowledge of cloud platforms (e.g., AWS, Azure, GCP) and distributed computing is a plus.
• Excellent problem-solving, analytical, and communication skills.

• Competitive salary and performance-based bonuses.
• Ongoing opportunities for professional growth and development.
• A collaborative and inclusive work environment that encourages innovative thinking.
• The chance to work on exciting, cutting-edge projects that shape the future of technology.
• Health and wellness programs to support a balanced and healthy lifestyle.
• Flexible work arrangements to promote work-life balance.