Senior Machine Learning Engineer

About Us

At Core. Intels, 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 Tensor.

Flow, Py. Torch, or Scikit-learn Experience with data processing tools like Pandas, Num. Py, 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