- Excellent Benefits
- MNC Company
- Career Growth
about the company
Randstad has partnered with a reputable MNC within the manufacturing and automation industry. Your future employers utilize modern technology to provide solutions that are reliable, safe and customer oriented.
key responsibilities:
- Advanced Analytics & Modeling: Lead complex data analysis projects, extracting actionable business intelligence from diverse datasets to support executive decision-making and product strategy.
- GenAI & LLM Integration: Design, test, and implement Generative AI and LLM-driven workflows (e.g., Retrieval-Augmented Generation (RAG), prompt engineering, text summarization, and sentiment analysis) to automate data interpretation and enhance analytical capabilities.
- Cloud Data Infrastructure: Build and manage data processing pipelines and analytical architectures utilizing Microsoft (Azure) or AWS cloud ecosystems.
- Python Development: Write robust, production-ready Python code to automate data extraction, transformation, and AI model integration.
- Cross-Functional Collaboration: Partner with data engineers, software developers, and business stakeholders to translate complex business problems into scalable, AI-enhanced data solutions.
- Mentorship & Strategy: Serve as the subject matter expert on AI trends and analytics best practices, mentoring junior analysts and guiding the organization’s data strategy.
requirements:
- Experience: 5+ years of professional experience in data analysis, data science, or a closely related analytics role.
- Programming Mastery: Advanced proficiency in Python and its primary data libraries (Pandas, NumPy, Scikit-learn, etc.) for data manipulation, statistical analysis, and scripting.
- Cloud Expertise: Hands-on experience with Microsoft Azure (e.g., Azure Synapse, Azure Data Factory, Azure OpenAI) OR AWS (e.g., Redshift, S3, SageMaker, Bedrock).
- AI/GenAI Specialization: Proven commercial experience working directly with Artificial Intelligence, specifically Generative AI and Large Language Models (LLMs). Must have familiarity with LLM APIs (OpenAI, Anthropic), open-source models (Hugging Face), and application frameworks (LangChain, LlamaIndex).
- Database Management: Expert-level SQL skills for querying, joining, and manipulating massive relational databases.
- Communication: Exceptional ability to translate highly technical AI and data concepts into clear, actionable business narratives for non-technical stakeholders.
nice to haves:
- Experience building or deploying Retrieval-Augmented Generation (RAG) architectures.
- Familiarity with data visualization tools (Tableau, PowerBI, Looker).
how to apply
Kindly click on the applicable link to apply if you are interested and suitable for this role. Alternatively, you can reach out to me via LinkedIn for a confidential discussion.
Sundar Ravindran | Randstad