Sr. Data Engineer, AI

India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Life Sciences, Diagnostics, BiotechnologyIndustries

Requirements

Candidates must have a Bachelor's degree with 5 years of experience or a Master's degree with 3 years of experience in Computer Science, Information Technology, Engineering, or a related field. Strong hands-on experience in AI agent and AI system development, including LLMs, autonomous agents, RAG, and memory architectures, is essential. Proficiency with data pipeline design using cloud tools like Snowflake, Azure, or AWS, and programming languages such as Scala, Java, or Python is required. Familiarity with BI tools like Power BI is also necessary. Experience with OR/ML model deployment and knowledge of supply chain business processes are considered a plus.

Responsibilities

The Senior Data Engineer, AI will architect and maintain scalable data pipelines and systems for AI applications. They will build and optimize data architectures for AI/ML/OR model training, evaluation, and deployment. This role involves integrating with LLM orchestration frameworks, supporting modular data access, and monitoring data workflows. Additionally, the engineer will collaborate with stakeholders to understand data needs and translate business requirements into technical solutions.

Skills

Data Pipelines

Data Architecture

AI/ML/OR Model Development

LLM Orchestration

LangChain

Semantic Kernel

Data Workflows

Supply Chain Optimization

Agentic AI

Danaher Corporation

Water quality, diagnostics, and identification solutions

About Danaher Corporation

Danaher Corporation operates in key markets such as water quality, product identification, and diagnostics. The company provides precision instruments and advanced purification technologies for analyzing and managing water, ensuring its safety in various environments. In product identification, Danaher specializes in laser marking, coding, and packaging solutions that help maintain product freshness and accurate labeling throughout the supply chain. In the diagnostics sector, Danaher offers tools and software that enhance diagnostic confidence, enabling healthcare providers to deliver effective care. What sets Danaher apart from competitors is its unique Danaher Business System, which focuses on continuous improvement and empowers employees to drive change. The company's goal is to consistently deliver high-performance products and solutions while maintaining leadership in its markets.

Washington, District of ColumbiaHeadquarters

1969Year Founded

IPOCompany Stage

Industrial & Manufacturing, Healthcare, Consumer GoodsIndustries

10,001+Employees

Risks

Increased competition from Roche and Abbott in AI-driven diagnostics.

Potential regulatory challenges in the EU for water quality sector.

Supply chain vulnerabilities affecting precision instruments sourcing.

Differentiation

Danaher's Danaher Business System drives continuous improvement and superior financial performance.

The acquisition of Cytiva enhances Danaher's capabilities in the biopharmaceutical sector.

Danaher's advanced purification technologies meet increasing demands for sustainable water management.

Upsides

Danaher's investment in AI-driven healthcare solutions boosts its diagnostics capabilities.

Cytiva acquisition expands Danaher's market share in the biopharmaceutical sector.

Point-of-care testing demand drives growth for Danaher's diagnostic tools and software.

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