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Python- Aws Sagemaker

2 weeks ago

Remote, India North Hires Full time

Roles & Responsibilities:
Developing and Implementing AI/ML Solutions:

- Prototype and deploy generative AI solutions to drive business innovation.
Managing Data Strategy and Architecture:

- Design and implement data schemas, ETL processes, and data migrations.
- Develop strategies for data governance, quality management, and support the implementation
of RAG architecture.
Collaborating with the Program Team:

- Collaborate effectively with the central program team using communication and collaboration
tools.
- Participate in regular project meetings, align objectives, and deliver on timelines.
- Facilitate knowledge transfer and competence-building among team members.
- Document technical tasks, solutions, and processes comprehensively for future reference.

**Requirements**:
Machine Learning and AI:

- Expertise in machine learning algorithms, data preparation, feature engineering, and model
evaluation.
- Proficiency in developing AI solutions and prototyping generative AI solutions.
preference for IT/Telecom expertise.
Quality Assurance and Test Automation:

- Strong background in automated quality assurance processes, including tools like Robot
Framework, JMeter.
- Experience integrating test automation into CI/CD pipelines using tools like GitLab, Jira,
XRAY.
- In-depth knowledge of non-functional, functional, and performance testing.
Cloud Platforms and Services:
pipelines.
- Familiarity with cloud-based AI/ML services such as AWS SageMaker, AWS Bedrock, and
LangChain.
Programming and Scripting:

- Strong programming skills in Python, Angular, SQL, etc.
- Experience with shell scripting for automation and orchestration.
Core Skills:
Data Strategy and Management:

- Expertise in data governance, quality management, and data lifecycle management, especially
in RAG architecture.
- Knowledge in data cataloging, metadata management, and data lineage for effective AI model
performance.
Information Retrieval Systems:

- Experience in building and optimizing search engines, semantic search, and vector-based
retrieval systems.
Knowledge Graphs and Ontologies:

- Expertise in designing knowledge graphs and ontologies to improve data structure and
retrieval.
- Familiarity with RDF, OWL, and SPARQL for knowledge graph development.
Natural Language Processing (NLP):

- Proficiency in NLP tools and techniques for text processing, entity recognition, and language
understanding.
- Experience in leveraging NLP for improving retrieval systems and generating contextually
relevant responses in RAG architecture.
Generative AI and RAG Integration:

- Deep understanding of RAG architecture, integrating retrieval systems with generative AI
models (e.g., GPT-3, T5) for enhanced query responses.
- Experience in data augmentation techniques and generating synthetic data for model training.

**Job Type**: Contractual / Temporary
Contract length: 6 months

Pay: ₹100,000.00 - ₹140,000.00 per month

Schedule:

- Day shift
- Monday to Friday

**Experience**:

- Python: 5 years (required)

Work Location: Remote