Senior Machine Learning Engineer

About Dilectus

Dilectus is expanding its Artificial Intelligence and Machine Learning talent network to connect skilled professionals with companies developing intelligent, data-driven applications.

We are inviting Machine Learning Engineers to register with Dilectus and showcase their experience in machine learning model development, data processing, experimentation and production deployment.

This category is suitable for professionals who enjoy solving real-world problems using machine learning, statistical methods and modern AI technologies.

Who Should Register?

We welcome professionals with experience in:

• Machine learning model development.

• Data preprocessing and feature engineering.

• Supervised and unsupervised learning.

• Model training and evaluation.

• Predictive analytics.

• Machine learning deployment and monitoring.

Technical Skills

Programming & Data Science

• Strong proficiency in Python.

• Experience with NumPy and Pandas.

• Knowledge of data preprocessing and feature engineering.

• Understanding of statistics and probability.

• Experience with exploratory data analysis.

Machine Learning Frameworks

• Scikit-learn.

• TensorFlow or PyTorch.

• XGBoost or LightGBM.

• Model training and hyperparameter tuning.

• Model evaluation and validation.

Machine Learning Concepts

• Regression and classification.

• Clustering and dimensionality reduction.

• Decision trees and ensemble methods.

• Feature selection.

• Cross-validation.

• Model performance optimization.

Deployment & MLOps

• REST API development.

• Docker and containerization.

• ML model deployment.

• Model monitoring and versioning.

• Cloud platforms such as AWS, Azure or GCP.

• Git and CI/CD fundamentals.

Preferred Additional Skills

• Deep learning.

• Natural Language Processing (NLP).

• Computer Vision.

• Generative AI and LLM fundamentals.

• MLflow.

• Kubeflow.

• Feature stores.

• MLOps architecture.

• Distributed model training.

What Can You Expect from Dilectus?

• Consideration for future Machine Learning and AI engineering opportunities.

• Exposure to organizations developing AI-powered applications.

• Profile evaluation based on technical expertise and practical project experience.

• Communication when relevant opportunities arise.

• Opportunities to connect with AI and data science teams.

How Does Registration Work?

1. Submit your updated resume through Dilectus.

2. Our recruitment team reviews your machine learning experience and technical background.

3. Your profile is categorized within our Machine Learning talent pool.

4. When a relevant client requirement becomes available, we may contact you to confirm your interest and availability.

5. With your consent, your resume and professional profile will be shared with the relevant hiring client.

Important Information

• This is a talent network registration opportunity, not a confirmed job vacancy.

• Registration does not guarantee an interview or employment.

• Registration is completely free.

• Your resume will only be shared with a relevant hiring client after obtaining your consent.

• Final hiring decisions are made by the respective client.

Build intelligent solutions. Showcase your machine learning expertise.

Register with Dilectus – Connecting Talent with Companies.