Data Enginering with AI
2 weeks ago
Company: US3 Consulting
About Company: US3 Consulting is a leading European IT recruitment agency dedicated to connecting top tech talent with innovative companies across the continent. With decades of experience and a fresh approach, we specialize in rapid, cost-effective candidate sourcing across all tech industry sectors. Our expert consultants are committed to building strong, productive relationships, ensuring the perfect fit between candidates and employers.
Job Title: Data Engineering with AI
Total Experience Required: 6+ years in Information Technology/Computers/Software
Relevant Experience Required: 4+ years in data engineering with a strong foundation in AI and machine learning integration.
Contract Duration: A minimum duration of 6 months, with the possibility of extension up to 18 months or beyond, depending on project requirements.
Workplace Type: Hybrid (at least 3 times a week at office)
Languages Required: English
Visa/Work Authorization Status: Candidates must hold a valid work permit or visa to work in Sweden
Work Location: Stockholm, Sweden
- Must be currently based in Sweden or
- Willing to relocate to Sweden from anywhere within Europe or the UK
- Candidates outside Europe/UK unfortunately cannot be considered
About Client: Client offers a dynamic environment where innovation and professional growth are at the forefront. With a strong emphasis on continuous learning, the company provides employees access to extensive training programs, including LinkedIn Learning and an Education Assistance Program.
The company champions a balanced work-life culture, promoting flexible work hours and a supportive atmosphere that values diversity and inclusion. As a part of the esteemed group, it combines global opportunities with a commitment to employee well-being, making it an ideal workplace for those seeking both professional excellence and personal fulfillment.
Key Responsibilities:
- Design, build, and manage scalable data pipelines and architectures to support AI/ML solutions.
- Develop and implement data models, warehouses, and lakes for analytics and business intelligence.
- Collaborate with data scientists to create high-quality datasets for AI model training, deployment, and monitoring.
- Ensure data integrity, quality, and performance across all systems.
- Work closely with cross-functional teams to define and deliver effective data-driven solutions.
- Stay up to date with emerging technologies in AI, LLMs, and data engineering.
Essential Skills:
- Proven expertise in ETL/ELT, data warehousing, and data lake design.
- Hands-on experience with Big Data technologies such as Spark and Hadoop.
- Proficiency in Python for data engineering and AI/ML applications.
- Strong understanding of AI/ML concepts, MLOps, and experience with LLMs (OpenAI API, Claude, LLaMA, Mistral, etc.).
- Experience with data tools including Databricks, Kafka, LangChain, and LlamaIndex.
- Knowledge of fine-tuning techniques such as LoRA and PEFT.
Optional Skills:
- Familiarity with cloud platforms (AWS, Azure, Google Cloud).
- Exposure to AI-driven data analytics or business intelligence frameworks.
Interested? Apply Now
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