- Develop enterprise-level GenAI applications using LLM frameworks such as Langchain, Autogen, and Hugging Face.
- Design and develop intelligent pipelines using PySpark, TensorFlow, and PyTorch within Databricks and AWS environments.
- Implement embedding models andmanage VectorStores for retrieval-augmented generation (RAG) solutions.
- Integrate and leverage MDM platforms like Informatica and Reltio to supply high-quality structured data to ML systems.
- Utilize SQL and Python for data engineering, data wrangling, and pipeline automation.
- Build scalable APIs and services to serve GenAI models in production.
- Lead cross-functional collaboration with data scientists, engineers, and product teams to scope, design, and deploy AI-powered systems.
- Ensure model governance, version control, and auditability aligned with regulatory and compliance expectations.
- Masters degree with 4 - 6 years of experience in Business, Engineering, IT or related field OR
- Bachelors degree with 6 - 9 years of experience in Business, Engineering, IT or related field OR
- Diploma with years of experience in Business, Engineering, IT or related field
- 6+ years of experience working in AI/ML or Data Science roles, including designing and implementing GenAI solutions.
- Extensive hands-on experience with LLM frameworks and tools such as Langchain, Autogen, Hugging Face, OpenAI APIs, and embedding models.
- Strong programming background with Python, PySpark, and experience in building scalable solutions using TensorFlow, PyTorch, and SK-Learn.
- Proven track record of building and deploying AI/ML applications in cloud environments such as AWS.
- Expertise in developing APIs, automation pipelines, and serving GenAI models using frameworks like Django, FastAPI, and DataBricks.
- Solid experience integrating and managing MDM tools (Informatica/Reltio) and applying data governance best practices.
- Guide the team on development activities and lead the solution discussions
- Must have core technical capabilities in GenAI, Data Science space
- Any ETL certification (e.g. Informatica)
- Any Data Analysis certification (SQL)
- Any cloud certification (AWS or AZURE)
- Data Science and ML Certification
- Strong analytical abilities to assess and improve master data processes and solutions.
- Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholders.
- Effective problem-solving skills to address data-related issues and implement scalable solutions.
- Ability to work effectively with global, virtual teams.
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MDM Data Scientist - Hyderabad / Secunderabad, Telangana - Amgen Technology Private Limited
Description
Role Description:
We are seeking an accomplished and visionary Data Scientist/ GenAIdeveloper to join Amgens Enterprise Data Management team. As part of MDM team, you will be responsible for designing, developing, and deploying Generative AI and ML models to power data-driven decisions across business domains. This role is ideal for an AI practitioner who thrives in a collaborative environment and brings a strategic mindset to applying advanced AI techniques to solve real-world problems.
To succeed in this role, the candidate must have strong AI/ML, Data Science, GenAI experience along with MDM knowledge, hence the candidates having only MDM experience are not eligible for this role. Candidate must have AI/ML, data science and GenAI experience on technologies like (PySpark/PyTorch, TensorFlow, LLM, Autogen, Hugging FaceVectorDB,Embeddings, RAGsetc), along with knowledge of MDM (Master Data Management)
Roles & Responsibilities:
Basic Qualifications and Experience:
Functional Skills:
Must-Have Skills:
Professional Certifications:
Soft Skills:
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