AI Solution Development
- Lead the design, development, and implementation of end-to-end, scalable AI solutions.
- Build, train, and optimize Machine Learning and Deep Learning models.
- Continuously improve model performance, accuracy, and operational cost efficiency.
- Develop and integrate backend and frontend components for AI-powered applications.
- Design scalable, secure, and high-performance software architectures.
- Ensure code quality through testing, code reviews, and software development best practices.
- Analyze large datasets to identify patterns and develop predictive models.
- Implement data preparation, cleansing, and transformation pipelines.
- Develop advanced analytics solutions to solve complex business challenges.
- Build and deploy AI solutions using Machine Learning services on AWS, Google Cloud Platform (GCP), or Microsoft Azure.
- Integrate AI models into scalable cloud infrastructures.
- Optimize model deployment, monitoring, maintenance, and lifecycle management in production environments.
- Provide technical leadership for strategic Artificial Intelligence initiatives.
- Mentor and guide engineers across the team, promoting technical excellence and best practices.
- Research emerging AI technologies, tools, and industry trends to drive continuous innovation.
- Document system architectures, technical processes, and design decisions.
- Communicate project progress, technical findings, and business impact effectively to both technical teams and business stakeholders.
RequisitosRequirements
Required Qualifications
6-7 years of professional experience as a Full Stack Engineer.
Advanced proficiency in Python.
Strong experience with Java or Scala.
Extensive experience designing and developing Artificial Intelligence solutions.
Hands-on expertise with Machine Learning frameworks, including:
TensorFlow
PyTorch
Experience using:
pandas
scikit-learn
Experience working with cloud platforms, including:
Amazon Web Services (AWS)
Google Cloud Platform (GCP)
Microsoft Azure
Knowledge of cloud-based Machine Learning services.
Proven experience building advanced predictive models.
Strong understanding of:
Software architecture
Scalable systems design
Data structures
Algorithms
Proven experience developing Full Stack applications.
Skills Required
- 6-7 years professional experience as a Full Stack Engineer.
- Advanced proficiency in Python.
- Strong experience with Java or Scala.
- Extensive experience designing and developing Artificial Intelligence solutions.
- Hands-on expertise with TensorFlow.
- Hands-on expertise with PyTorch.
- Experience using pandas.
- Experience using scikit-learn.
- Experience working with AWS.
- Experience working with Google Cloud Platform (GCP).
- Experience working with Microsoft Azure.
- Knowledge of cloud-based Machine Learning services.
- Proven experience building advanced predictive models.
- Strong understanding of software architecture.
- Strong understanding of scalable systems design.
- Strong understanding of data structures and algorithms.
- Proven experience developing Full Stack applications.
What We Do
The company provides automation and process optimization, UX innovation, software designing and testing, big data, artificial intelligence, and machine learning. They are involved in the development of computer systems and IT consulting.
