Job Description

We're looking for an experienced Data Scientist with GenAI expertise to build and deploy machine learning solutions that drive business impact.

Key Responsibilities

Design and deploy predictive models and Generative AI solutions in production

Conduct data analysis to identify business insights and trends

Build real-time ML systems with MLOps best practices

Implement LLMs, prompt engineering, and RAG systems

Mentor junior team members and collaborate with stakeholders

Create visualizations and reports for technical and business audiences

Required Skills

Technical Requirements

Experience: 5+ years in data science with production ML deployment

Programming: Expert Python, SQL, and data libraries (Pandas, NumPy, Scikit-learn)

Databases: MongoDB and other NoSQL databases

Big Data: Apache Spark, Databricks

MLOps: Model deployment, monitoring, CI/CD pipelines

GenAI: LLMs, fine-tuning, prompt engineering, multimodal AI

Frameworks: TensorFlow, PyTorch

Education

Master's degree in Data Science, Computer Science, Statistics, or related field

Nice to Have

Cloud platforms (AWS, Google Cloud, Azure)

Document Processing & OCR: Experience with document AI, OCR technologies (Tesseract, AWS Textract, Google Document AI), and automated document understanding

Vector databases and embedding systems

Containerization (Docker, Kubernetes)

Data visualization tools (Tableau, Power BI)

What You'll Bring

Strong analytical and problem-solving skills

Excellent communication abilities

Collaborative mindset and mentoring experience

Ability to work in fast-paced environments

Passion for staying current with AI/ML trends

##LI-DNI

Qualifications

We're looking for an experienced Data Scientist with GenAI expertise to build and deploy machine learning solutions that drive business impact.

Key Responsibilities

Design and deploy predictive models and Generative AI solutions in production

Conduct data analysis to identify business insights and trends

Build real-time ML systems with MLOps best practices

Implement LLMs, prompt engineering, and RAG systems

Mentor junior team members and collaborate with stakeholders

Create visualizations and reports for technical and business audiences

Required Skills

Technical Requirements

Experience: 5+ years in data science with production ML deployment

Programming: Expert Python, SQL, and data libraries (Pandas, NumPy, Scikit-learn)

Databases: MongoDB and other NoSQL databases

Big Data: Apache Spark, Databricks

MLOps: Model deployment, monitoring, CI/CD pipelines

GenAI: LLMs, fine-tuning, prompt engineering, multimodal AI

Frameworks: TensorFlow, PyTorch

Education

Master's degree in Data Science, Computer Science, Statistics, or related field

Nice to Have

Cloud platforms (AWS, Google Cloud, Azure)

Document Processing & OCR: Experience with document AI, OCR technologies (Tesseract, AWS Textract, Google Document AI), and automated document understanding

Vector databases and embedding systems

Containerization (Docker, Kubernetes)

Data visualization tools (Tableau, Power BI)

What You'll Bring

Strong analytical and problem-solving skills

Excellent communication abilities

Collaborative mindset and mentoring experience

Ability to work in fast-paced environments

Passion for staying current with AI/ML trends