Responsibilities:

Experience:

<ul>
<li>Overall experience of 5 years and minimum of 3 years of experience in data engineering, AI development, or a related field.</li>
</ul>

Programming:

<ul>
<li>Proficiency in Python, with experience in libraries such as Pandas, NumPy, and PyTorch/TensorFlow.</li>
</ul>

GenAI Expertise:

<ul>
<li>Hands-on experience with Azure OpenAI services and non-OpenAI LLMs.</li>
</ul>

<ul>
<li>Familiarity with LangChain, RAG applications, MCPs and prompt engineering techniques.</li>
</ul>

<ul>
<li>The ability to navigate technology hype, identify and prioritize game-changing applications for our group and execute their development in agile squads</li>
</ul>

<ul>
<li>A deep understanding of foundational and large language models and the vision and hands-on mindset to make your ideas come to life in ZEISS solutions</li>
</ul>

<ul>
<li>Experience with best practices in model development and deployment (Azure Machine Learning Service/ MLflow)</li>
</ul>

Data Engineering:

<ul>
<li>Strong knowledge of ETL/ELT processes, data pipelines, and workflow orchestration tools</li>
</ul>

<ul>
<li>Experience with connecting to enterprise systems like SAP, cloud databases, and APIs.</li>
</ul>

Cloud Platforms:

<ul>
<li>Proficiency in Azure services (e.g., Azure OpenAI, Azure Data Factory, Azure Blob Storage).</li>
</ul>

<ul>
<li>Familiarity with other cloud platforms (AWS, GCP) is a plus.</li>
</ul>

Databases:

<ul>
<li>Strong SQL skills and experience with relational (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cosmos DB).</li>
</ul>

Problem-Solving:

<ul>
<li>Strong analytical and problem-solving skills with the ability to debug complex systems.</li>
</ul>

Communication:

<ul>
<li>Ability to communicate technical concepts effectively to both technical and non-technical stakeholders.</li>
</ul>

Qualifications:

<ul>
<li>Bachelor's degree in Computer Science, Engineering, or a related field. </li>
</ul>

Senior Data Scientist

India

Responsibilities: Experience : Overall experience of 5 years and minimum of 3 years of experience in data engineering, AI development, or a related field. Programming : Proficiency in Python, with experience in libraries such as Pandas, NumPy, and PyTorch/TensorFlow. GenAI Expertise : Hands-on experience with Azure OpenAI services and non-OpenAI LLMs. Familiarity with LangChain, RAG applications, MCPs and prompt engineering techniques. The ability to navigate technology hype, identify and prioritize game-changing applications for our group and execute their development in agile squads A deep understanding of foundational and large language models and the vision and hands-on mindset to make your ideas come to life in ZEISS solutions Experience with best practices in model development and deployment (Azure Machine Learning Service/ MLflow) Data Engineering : Strong knowledge of ETL/ELT processes, data pipelines, and workflow orchestration tools Experience with connecting to enterprise systems like SAP, cloud databases, and APIs. Cloud Platforms : Proficiency in Azure services (e.g., Azure OpenAI, Azure Data Factory, Azure Blob Storage). Familiarity with other cloud platforms (AWS, GCP) is a plus. Databases : Strong SQL skills and experience with relational (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cosmos DB). Problem-Solving : Strong analytical and problem-solving skills with the ability to debug complex systems. Communication : Ability to communicate technical concepts effectively to both technical and non-technical stakeholders. Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field.

Senior Data Scientist · Bengaluru

Job highlights

Skillset required

Job Description

Job Description for Senior Data Scientist

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