Senior Associate Software Engineer

Amgen is seeking a Senior Associate Software Engineer in Hyderabad, Telangana, to join the Digital Workplace Experience (DWX) Automation & Analytics product team. This role is crucial for developing, maintaining, and optimizing machine learning models, forecasting tools, and operational dashboards that drive strategic and daily decisions for global digital workplace services. If you have hands-on experience building predictive models and analyzing large operational datasets to generate insights and deliver automation solutions, this role is for you. You will collaborate closely with product owners, engineers, and service leads to deliver tangible business value through data-driven approaches.

Roles and Responsibilities

• Design, develop, and maintain predictive models, decision support tools, and dashboards using technologies like Python, R, SQL, and Power BI.
• Collaborate with delivery teams to integrate data science outputs into business operations, focusing on enhancing efficiency, reliability, and the end-user experience for Digital Workplace services.
• Build and automate data pipelines for ingestion, cleansing, transformation, and model training, working with both structured and unstructured data.
• Monitor, maintain, and tune models to ensure ongoing accuracy, interpretability, and business impact.
• Support the operationalization of ML models through collaboration with data engineers and platform teams for integration and automation.
• Conduct thorough data exploration, hypothesis testing, and statistical analysis to identify opportunities for optimization in areas such as endpoint health, service desk operations, mobile technology, and collaboration platforms.
• Provide data-driven recommendations, both ad hoc and recurring, to enhance automation performance, service delivery, and capacity forecasting.
• Develop reusable components, templates, and frameworks to support scalable analytics and automation across the DWX.
• Work collaboratively with other data scientists, analysts, and developers to implement best practices in model development and lifecycle management.

What we expect of you

We value diverse contributions that help us serve patients. The ideal candidate will possess the following qualifications:

• Master's degree or Bachelor's degree with 5 to 9 years of experience in Data Science, Computer Science, IT, or a related field.

• Data Science & ML: Proficiency in Python (preferred) or R, with experience in libraries like scikit-learn, pandas, NumPy, XGBoost. Familiarity with TensorFlow or PyTorch is expected. Expertise in supervised/unsupervised learning, time series forecasting, feature engineering, and hyperparameter tuning is required.
• SQL & Data Engineering: Advanced SQL skills including joins, CTEs, window functions, and optimization. Experience with relational databases (PostgreSQL, SQL Server, Oracle, MySQL) and data modeling (star/snowflake schema) is essential.
• Databricks: Hands-on experience with Databricks notebooks (Python, SQL, PySpark), Delta Lake, MLflow, Unity Catalog, and Lakehouse architecture.
• Visualization: Expertise in Power BI (DAX, Power Query, data model optimization) and/or Tableau (advanced calculations, LODs, performance tuning).

• MLOps & Automation: Experience with Airflow, SageMaker, or Azure ML. Knowledge of CI/CD for ML models and automated data pipelines is a plus.
• Generative AI: Understanding of foundation models (LLMs, transformers, diffusion). Hands-on experience with APIs from OpenAI, Azure OpenAI, HuggingFace. Prompt engineering for summarization, classification, Q&A, and content generation. Experience with fine-tuning, RAG pipelines, or vector databases (FAISS, Pinecone) is advantageous.
• Cloud Platforms: Familiarity with Azure (Data Factory, Synapse, Azure ML, Azure OpenAI), AWS (S3, Redshift, SageMaker), or GCP (BigQuery, Vertex AI).
• ITSM & Agile: Exposure to ITIL practices or ITSM platforms (e.g., ServiceNow). Working knowledge of Agile/SAFe environments.

• Analytical mindset with a strong focus on detail and data integrity.
• Excellent problem-solving and critical thinking abilities.
• Capacity to work independently and drive tasks to completion.
• Strong collaboration and teamwork skills.
• Adaptability in a dynamic, fast-paced environment.
• Proficiency in clear and concise documentation.

Amgen is committed to equal opportunity. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability. Reasonable accommodations will be provided to individuals with disabilities to ensure equal participation in the application and employment process.