KPI Partners
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PythonAbout the Role:
We are looking for a talented and motivated Data Engineer with expertise in Azure, Python, Pandas, and SQL to join our growing team. The ideal candidate will have experience in building and managing data pipelines, processing large datasets, and leveraging cloud-based tools for data analytics and transformation.
Required Skills & Qualifications:
- Strong experience with Azure
- Strong experience in SQL
- Proficiency in Python and Pandas for data processing.
- Hands-on experience with Databricks for large-scale data processing.
- Experience with building and managing data pipelines.
- Strong problem-solving skills and attention to detail.
About the Role
We are seeking an experienced Data Modeler with over 6 years of expertise in designing, implementing, and maintaining data models that ensure data quality, performance, and scalability. In this role, you will collaborate with data analysts, data architects, and business stakeholders to align data models with business needs.
Role requirements -
- More than 3 years of experience in data modeling – designing, implementing, and maintaining data models to support data quality, performance, and scalability.
- Proven experience as a Data Modeler and worked with data analysts, data architects, and business stakeholders to ensure data models are aligned to business requirements.
- Expertise in Azure, Databricks, Data warehousing, ERStudio, and Supply chain background is preferred.
- Strong knowledge of data modeling principles and techniques (e.g., ERD, UML)
- Proficiency with data modeling tools (e.g., ER/Studio, Hackolade).
- Experience with relational databases (e.g., Teradata, SQL Server, Oracle, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra).
- Solid understanding of data warehousing, ETL processes, and data integration.
- Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work effectively in a collaborative, fast-paced environment.
We are seeking a Senior Data Scientist with hands-on experience in Generative AI (GenAI) and Large Language Models (LLM). The ideal candidate will have expertise in building, fine-tuning, and deploying LLMs, as well as managing the lifecycle of AI models through LLMOps practices. You will play a key role in driving AI innovation, developing advanced algorithms, and optimizing model performance for various business applications.
Key Responsibilities:
- Develop, fine-tune, and deploy Large Language Models (LLM) for various business use cases.
- Implement and manage the operationalization of LLMs using LLMOps best practices.
- Collaborate with cross-functional teams to integrate AI models into production environments.
- Optimize and troubleshoot model performance to ensure high accuracy and scalability.
- Stay updated with the latest advancements in Generative AI and LLM technologies.
Required Skills and Qualifications:
- Strong hands-on experience with Generative AI, LLMs, and NLP techniques.
- Proven expertise in LLMOps, including model deployment, monitoring, and maintenance.
- Proficiency in programming languages like Python and frameworks such as TensorFlow, PyTorch, or Hugging Face.
- Solid understanding of AI/ML algorithms and model optimization.
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