Highlights
Flexibility, global opportunities, inclusive work environment, competitive benefits package.
Description
Job Summary
pThe role of an Associate Engineer is pivotal in enhancing operational efficiency and digital innovation within our engineering ecosystem. You will collaborate with cross-functional teams to identify business problems, design and develop AI/ML solutions for real-world challenges, and ensure the deployment of scalable, production-ready AI applications.
Responsibilities
- Collaborate with cross-functional teams to define use cases and perform root cause analysis.
- Develop end-to-end data and AI pipelines using Azure Databricks.
- Create LLM-powered applications such as copilots and intelligent assistants.
- Ensure quality, reliability, and performance of production-grade AI solutions.
Required Skills
- Azure Databricks expertise
- Prompt engineering knowledge
- MLflow experience
- Data pipeline development skills
- Python programming proficiency
Required Skills Explained
- Strong Python programming skills for data processing, APIs, and machine learning development.
- Demonstrated experience developing AI/ML models, including LLM-based solutions for real-world applications.
- Hands-on experience with Azure Databricks, including PySpark, Delta Lake, and pipeline development.
- Familiarity with SQL and solid understanding of data engineering concepts (ETL, big data processing, pipelines).
- Working knowledge of Azure services such as ADLS, Azure ML, Azure Functions, and API integrations.
- Experience in developing scalable Python-based data processing and AI services, including API integrations for enterprise applications.
- Demonstrated ability to work with complex datasets and deliver scalable, production-ready AI solutions.
Who is this for
pThis role is ideal for individuals with a strong background in AI, data science, or mechanical engineering who are passionate about digital innovation and automation. You should thrive in a fast-paced environment where problem-solving and collaboration are key.
Why This Job is a Good Opportunity
ulliPotential to contribute significantly to the advancement of AI-driven solutions within an innovative company like Danfoss.liOpportunity to collaborate across multiple departments and work on diverse projects that impact operational efficiency.liDedicated support for personal and professional growth, including mentoring and training programs.liFlexible working environment with a focus on maintaining a healthy work-life balance.liPromising career development within the organization due to internal promotion opportunities.liA supportive inclusive culture that values all employees regardless of background or identity.
Interview Preparation Tips
- Familiarize yourself with Azure Databricks and its components like PySpark, Delta Lake, and pipeline development.
- Prepare examples of AI/ML projects you have worked on, especially those involving LLM-based solutions.
- Demonstrate your proficiency in Python programming by providing code samples related to data processing and machine learning tasks.
- Showcase your understanding of SQL and ETL processes through relevant project experiences or case studies.
- Discuss your experience with Azure services such as ADLS, Azure ML, and API integrations.
- Prepare questions about the company's AI initiatives and digitalization efforts to show your interest in the role.
Career Growth in This Role
pThis role provides a strong foundation for career growth within Danfoss’s AI, Automation & Digitalization team. As an Associate Engineer, you will have opportunities to lead projects and take on more responsibilities as you develop your skills. The company promotes from within, offering mentoring, training, and global opportunities. You can expect to advance in roles that require increasingly complex problem-solving and leadership skills.pThe continuous development of digital solutions and the integration of AI technologies present numerous avenues for professional growth. Engaging with cross-functional teams will help you build a network across different business units, which is crucial for career advancement within the organization. Additionally, staying at the forefront of technological advancements through internal training programs can further enhance your expertise.
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Skills
Frequently Asked Questions
What is the expected level of experience?Candidates should have 1-3 years of hands-on experience in AI, Data Engineering, Automation, or Digitalization roles.
Is Azure Databricks expertise required?Yes, strong proficiency in Azure Databricks including PySpark and Delta Lake is essential.
What are the benefits package details?Benefits include 13th salary, annual bonus, paid vacation, pension plans, and personal insurance.
