Senior Machine Learning Engineer

About Us:

At CoreIntels, we’re building AI-powered solutions that transform data into real business value. As a growing tech company with a focus on innovation, we're looking for a Machine Learning Engineer to join our dynamic team and help drive the development of intelligent systems across our platform.

Job Summary:

As a Machine Learning Engineer, you will be responsible for designing, developing, and deploying machine learning models that power our AI-driven applications. You’ll collaborate closely with data scientists, software engineers, and product teams to create scalable solutions that improve performance, automation, and customer experience.

Responsibilities:

• Design and implement machine learning models for real-world use cases

• Collaborate with cross-functional teams to collect and prepare data

• Optimize ML models for accuracy, performance, and scalability

• Build and maintain pipelines for model training, testing, and deployment

• Monitor and evaluate model performance in production

• Stay up to date with the latest advancements in ML and GenAI

• Write clean, maintainable code and documentation for reproducibility

Requirements:

• Bachelor's or Master's degree in Computer Science, Data Science, or related field

• 5+ years of experience in machine learning or data science roles

• Proficiency in Python and ML libraries such as TensorFlow, PyTorch, or Scikit-learn

• Experience with data processing tools like Pandas, NumPy, Spark, or Hadoop

• Strong knowledge of supervised and unsupervised learning techniques

• Familiarity with model deployment using Docker, Flask/FastAPI, or cloud platforms (AWS, GCP, Azure)

• Excellent problem-solving skills and ability to work in a fast-paced environment

Preferred Qualifications:

• Experience with GenAI or LLM-based applications

• Knowledge of MLOps, CI/CD for ML models, and tools like MLflow or Kubeflow

• Experience with SQL and data visualization tools (e.g., Power BI, Tableau)

What We Offer:

• Competitive salary and performance bonuses

• Flexible work hours and remote opportunities

• Opportunity to work on cutting-edge AI/ML projects

• A collaborative and supportive work environment