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
Solid 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 #QualificationsWe'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
📌 ESI RPA Core Team 169975 (Telangana)
🏢 ADP
📍 Telangana