We are seeking talented and motivated AI Engineers to join our consulting team. As an AI Engineer at Ofi Services, you will work with our clients to develop and implement advanced AI-based solutions that bring real value to their businesses
Responsibilities
Develop, test, and deploy machine learning and AI models to solve complex problems.
Collaborate with multidisciplinary teams to understand client requirements and design customized solutions.
Implement data engineering techniques to integrate, preprocess, and analyze large volumes of data.
Optimize and scale AI models for production environments.
Contribute to the creation of AI frameworks, models, and systems for deployment in cloud or on-premises environments.
Use version control systems to manage code and ensure efficient collaboration within the team.
Ensure efficient performance of AI models, including hyperparameter tuning and optimization.
Requirements
Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
Minimum of 2+ years of experience in AI/ML development or related areas.
Strong problem-solving skills and ability to work independently and as part of a team.
Excellent communication skills and ability to collaborate with clients and internal teams.
Practical experience in one or more of the following areas:
Programming and Scripting:
Python, R, Java, or C++
Machine Learning and Deep Learning:
Supervised learning (regression, classification), unsupervised learning (clustering, dimensionality reduction)
Deep learning frameworks (TensorFlow, Keras, PyTorch)
Neural networks (CNNs, RNNs) and reinforcement learning
Data Engineering and Preprocessing:
Data cleaning and preprocessing
Experience with ETL processes and big data tools (Hadoop, Spark, Kafka)
Cloud Computing and Infrastructure:
AWS, Azure, or Google Cloud for AI solutions
Containerization with Docker/Kubernetes
Experience with serverless architectures
AI Tools and Frameworks:
Scikit-learn, NLTK, SpaCy, Hugging Face, OpenCV
Data visualization tools (D3.js, Matplotlib, Seaborn)
Version Control:
Proficiency in Git
Model Deployment and Integration:
Model deployment tools (TensorFlow Serving, Flask, FastAPI)
Experience with CI/CD (Jenkins, GitLab CI, Azure DevOps)
Performance Optimization:
Hyperparameter tuning (GridSearchCV, RandomSearch)
Parallelization and optimization for model training (GPU, distributed computing)
Benefits
Work with a dynamic and talented team of AI experts.
Participate in innovative projects across various industries.
Opportunities for growth and professional development in an expanding sector.
A collaborative environment that fosters continuous learning and development.