Join Our IT Talent Pool – Machine Learning/ AI Engineers

Are you a consultant with strong experience in Machine Learning/ AI Engineering, residing in Romania, with at least 5 years of professional experience in IT-related projects? A partnership with emagine might be of interest to you.

emagine is a high-end consultancy firm headquartered in Copenhagen, recognized for delivering tailored services through a network of expert consultants worldwide.

As a freelance consultant, you can engage in assignments as an expert advisor, as part of an emagine team, or as a trusted consultant working within client organizations.

In Romania, we have a growing office in Bucharest, complemented by over 5,000 consultants across Europe working on various projects.

Sign up for our database for the chance to work with some of the industry's most innovative companies.

Benefits of joining our consultant database:

• Access to a wide range of projects with international companies, allowing you to apply your skills and expertise to meaningful assignments.

• Assignments that match your skills, ensuring alignment with your strengths.

• Opportunities to expand your project portfolio and advance your career.

As a consultant with Machine Learning/ AI Engineering expertise, you should have experience in:

• Programming Languages: Python, R, Java, C++.

• Machine Learning Libraries: TensorFlow, PyTorch, scikit-learn, Keras.

• Data Processing Tools: Pandas, NumPy, Apache Spark.

• Visualization Tools: Matplotlib, Seaborn, Plotly.

• Version Control: Git, GitHub, GitLab.

• Cloud Platforms: AWS, Azure, Google Cloud Platform.

• Model Deployment Tools: Docker, Kubernetes, TensorFlow Serving.

• Mathematics and Statistics: Understanding of linear algebra, calculus, probability, and statistics.

• Machine Learning Algorithms: Knowledge of supervised, unsupervised, and reinforcement learning algorithms.

• Data Preprocessing and Cleaning: Skills in handling data for analysis.

• Model Evaluation and Tuning: Expertise in evaluating model performance and tuning hyperparameters.

• Deep Learning: Experience with neural networks and frameworks.

• Problem-Solving and Analytical Thinking: Ability to solve complex problems and analyze data effectively.

• Communication Skills: Ability to explain complex concepts to non-technical stakeholders.

• Ethics and Bias Mitigation: Understanding of ethical considerations in AI models.

• Big Data Technologies: Hadoop, Apache Spark.

• Data Storage Solutions: SQL, NoSQL databases, Data Lakes.

• Visualization Tools: Tableau, Power BI.

Would you like to learn more? Sign up today and explore new career opportunities with emagine!