Ai/ml Solutions Architect

1 week ago

Remote, India North Hires Full time

1. **Machine Learning and AI**
- **Machine Learning Algorithms**:

- Deep understanding of various machine learning algorithms, model evaluation, and feature engineering.
- **AI Solution Development**:

- Expertise in developing and prototyping advanced AI solutions, including generative AI systems (e.g., working with models similar to GPT-3, T5).
- **AI/ML Frameworks**:

- Familiarity with common frameworks and libraries used in building AI/ML solutions, especially within IT/Telecom contexts.

2. **Quality Assurance and Test Automation**
- **Automated Testing Tools**:

- Proficiency in using tools such as Robot Framework and JMeter for automated quality assurance.
- **CI/CD Integration**:

- Experience integrating automated tests into CI/CD pipelines using tools like GitLab, Jira, and XRAY.
- **Testing Methodologies**:
3. **Cloud Platforms and Services**
- **AWS Services**:

- Experience with AWS-specific tools like AWS SageMaker and AWS Bedrock.
- **Cloud-based AI/ML Tools**:

- Familiarity with additional cloud-based services and libraries, such as LangChain for AI/ML projects.

4. **Programming and Scripting**
- **Core Programming Languages**:

- Strong skills in Python (critical for AI/ML development), Angular (for frontend development), and SQL (for database management).
- **Scripting**:

- Experience with shell scripting to automate and orchestrate processes.

5. **Data Strategy and Management**
- **Data Governance and Quality Management**:

- Expertise in designing and implementing data governance frameworks, ensuring data quality and lifecycle management.
- **Data Architecture**:

- Experience with data schemas, ETL processes, and data migrations.
- Knowledge of RAG (Retrieval-Augmented Generation) architecture, data cataloging, metadata management, and data lineage tracking.

6. **Information Retrieval Systems**
- **Search Engine Development**:

- Skills in building and optimizing search engines, including semantic search and vector-based retrieval systems.

7. **Knowledge Graphs and Ontologies**
- **Graph Modeling**:

- Proficiency in designing and developing knowledge graphs and ontologies.
- Familiarity with related technologies such as RDF, OWL, and SPARQL for effective knowledge graph implementation.

8. **Natural Language Processing (NLP)**
- **NLP Techniques**:

- Experience with text processing, entity recognition, and other NLP tools and techniques.
- **Application in Retrieval Systems**:

- Ability to integrate NLP to enhance retrieval systems and generate contextually relevant responses within a RAG architecture.

9. **Generative AI and RAG Integration**
- **RAG Architecture**:

- Deep understanding of how to integrate generative AI models with retrieval systems.
- **Synthetic Data Generation**:

- Experience in using data augmentation techniques and generating synthetic data to enhance model training.

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

Pay: ₹100,000.00 - ₹150,000.00 per month

**Benefits**:

- Work from home

Schedule:

- Day shift
- Monday to Friday
- UK shift

**Experience**:

- AI: 5 years (required)

Work Location: Remote

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