1 day ago
Sarajevo, Bosnia and Herzegovina +3 moreMid Level / Senior
Responsibilities
- Clarify business needs, expected outcomes, success measures, AI-specific data requirements, risks, and ownership with stakeholders and Data Analysts.
- Assess whether AI, analytics, automation, or conventional solutions best address business needs and recommend implementations using approved architecture patterns.
- Develop and validate AI components, proofs of concept, prototypes, minimum viable solutions, and production-ready applications using Python, SQL, Azure, and Snowflake.
- Build AI applications and services involving orchestration, retrieval, RAG, agent logic, APIs, evaluation, integrations, prompts, agent instructions, datasets, notebooks, workflows, tests, and deployment assets.
- Use SAP and Salesforce enterprise data to develop predictive models, generative AI applications, AI agents, and other AI/ML solutions.
- Apply Snowflake AI/ML capabilities, including Snowpark ML, Cortex AI, Cortex Search, Cortex Analyst, and AI Functions.
- Evaluate solutions for grounding, answer quality, model and agent behavior, business value, safety, cost, reliability, data quality, and operational readiness.
- Apply responsible AI, information security, privacy, access-control, and IT compliance requirements.
- Contribute to version control, CI/CD, production readiness, handover, monitoring design, incident analysis, problem analysis, and solution documentation.
- Collaborate with multidisciplinary delivery teams and explain technical options, limitations, and trade-offs to stakeholders.
Requirements
- At least 2 years of relevant experience delivering AI, ML, or advanced analytics solutions, including at least one solution taken from requirements through implementation.
- 4–6 years of professional experience in Data Science, AI/ML Engineering, BI analytics, or a similar data-focused role.
- Master's degree in a technical discipline or equivalent practical experience.
- Fluent spoken and written English at a minimum C1 level.
- Hands-on proficiency in Python and SQL for data preparation, API integration, testing, and solution development.
- Practical understanding of generative AI application patterns, including RAG, embeddings, vector search, prompt/context engineering, and evaluation.
- Experience with at least one enterprise AI development platform, preferably Azure AI Foundry, Azure Machine Learning, Snowflake Cortex, or Snowflake Intelligence.
- General understanding of classical machine learning concepts and relevant hands-on experience where appropriate.
- Working experience with version control and testing, preferably GitHub or Azure DevOps.
- Exposure to CI/CD, deployment processes, AI solution documentation, and data quality concepts.
- Experience working in an Agile or similar delivery setup and collaborating with analysts, customers, stakeholders, and multidisciplinary teams.
- Preferred qualifications include Azure AI Engineer Associate, Azure Data Scientist Associate, Azure AI Apps and Agents Developer Associate, SnowPro Core or GenAI certifications, and Fabric Data Engineer Associate certification.
- Preferred experience includes Snowflake AI/ML capabilities, Azure DevOps for work planning and reporting, and using SAP and Salesforce data in AI/ML solutions.
Benefits
- Hybrid work model.
- Opportunity to work on global industrial automation, digital, AI, and sustainability solutions at ABB.
Categories
About ABB
ABB builds electrification, robotics, motion, and process automation hardware and software for industrial, utility, transportation, and infrastructure customers. Its portfolio spans motors and drives, robots, PLCs, switchgear, and EV charging, sold as equipment, systems, and services under the ABB Ability platform. Formed in 1988 and headquartered in Zurich, it is a public company traded on the SIX Swiss Exchange and NYSE.