1 day ago
Remote, BelgiumSenior
Base Salary
$66k - $102k/yr
Responsibilities
- Build and deploy Python applications and scripts that automate IT operations, manage data, and address enterprise technology needs.
- Acquire, clean, preprocess, transform, and analyze large-scale datasets.
- Implement and deploy cloud applications and Python solutions in production environments using cloud services and containerization tools.
- Use Databricks for large-scale data engineering, analytics, machine learning, and cloud-based data processing.
- Apply software engineering practices including version control, code reviews, testable code, and CI/CD pipelines.
- Develop data pipelines, perform feature engineering, and create machine learning and generative AI solutions.
- Build MCP servers and integrate them with agentic AI workflows.
- Develop APIs, integrate systems, and query and manage SQL and NoSQL data stores.
- Create proof-of-concepts, technical diagrams, architecture documents, presentations, reports, and management briefings.
- Research emerging tools and packages, recommend production technologies, and collaborate with architecture, governance, and cross-functional AI/ML teams.
- Apply ethical data science and secure coding practices, including attention to bias and data privacy.
- Troubleshoot software and technical implementations in large-scale enterprise environments.
Requirements
- A bachelor's degree or foreign equivalent from an accredited institution, or three years of progressive relevant work experience in place of every year of education.
- A master's degree is strongly preferred.
- Demonstrable experience building and deploying Python applications or scripts for IT operations, automation, or data management.
- Experience with data acquisition, cleaning, preprocessing, transformation, data pipelining, feature engineering, and machine learning models.
- Hands-on experience with Databricks and cloud-based data engineering, analytics, machine learning, and data processing.
- Experience deploying Python applications in AWS, Azure, or GCP production environments, potentially using Docker or Kubernetes.
- Knowledge of software engineering best practices, data science practices, managed cloud AI/ML services, ethical guidelines, data privacy, and secure coding.
- Preferred experience with MCP servers, agentic AI workflows, generative AI, and prompt engineering.
- Experience with API development and integration, SQL and NoSQL databases, proof-of-concept development, technical documentation, and scalable design patterns.
- Proficiency with Microsoft Visio or Draw.io, Microsoft Word, Microsoft PowerPoint, Microsoft Excel, and Power BI.
- Ability to communicate technical concepts to technical and executive stakeholders and prepare technical recommendations, reports, and presentations.
- Ability to troubleshoot enterprise implementations, collaborate cross-functionally, adapt continuously, and work with governance and architecture teams.
Benefits
- Full-time employment with medical, dental, vision, and life insurance.
- Long-term and short-term disability coverage.
- Health and dependent care reimbursement accounts.
- Accident, critical illness, hospital indemnity, and legal insurance.
- 401(k) plan with contributions dependent on salary level.
- Paid holidays and paid time off.
- The role requires extended computer work, communication by telephone, email, or face-to-face, and may require travel.
Tech Stack
Categories
Data EngineeringML Engineering
About Infosys
Infosys is a public IT services and consulting company that builds and runs software systems for large enterprises across industries. It provides consulting, systems integration, cloud and AI services, engineering, and business process outsourcing, and sells platforms such as EdgeVerve's Finacle core banking suite. Founded in 1981 and headquartered in Bangalore, it serves clients in 50+ countries and is listed on the NSE, BSE, and NYSE.