Al Engineer

**SoftGrid**:
Embrace Digitalization and IoT for a Smart & Safe Future
- Company type
- IT Service and IT Consulting
- Company industry
- IT Services and IT Consulting
- Company size
- 1-50 employees
- Country
- Singapore
- Working days
- Monday - Friday
- Overtime policy
- No OT
- At office
- Skills:

- AI

Python

AWS

**Job description**:
**Responsibilities**
- Collaborate with data & Al architect, product managers and fellow developers, define Al project requirements and objectives, create software architectures and implement for Al solutions.
- Utilize AWS Services: Leverage AWS services such as Bedrock, Neptune, SageMaker, Lambda, EC2, S3, and others to build scalable and efficient Al solutions.
- Participating in daily standup, sprint planning, retrospective meetings during project implementation phase.
- Design and Development: Design, develop, and implement Al and machine learning models on the AWS platform. Implement coding to interface relevant SDK according to established practices.
- Data Handling: Perform data preprocessing, feature engineering, and model evaluation to ensure high-performance Al models.
- Deployment and Maintenance: Deploy and maintain Al models in production environments, ensuring their reliability and scalability.
- Monitoring and Optimization: Monitor and optimize the performance of Al models and AWS resources.
- Stay Current: Stay up-to-date with the latest trends and advancements in Al and AWS technologies.
- Documentation and Reporting: Document Al solutions and processes and communicate findings and recommendations to stakeholders.

**Your skills and experience**:
**Skills**
- Proven experience (3+ years) as an Al Engineer, with a focus on AWS cloud technologies, and experience and knowledge on Microsoft Azure Al technology is a plus.
- Extensive hands-on experience with AWS services such as Amazon Bedrock, Amazon SageMaker, Amazon Redshift, Amazon EMR, Amazon Kinesis, AWS Glue, etc
- Proficiency in programming languages such as Python, R, or Java, node.js, and experience with data manipulation and transformation
- Strong understanding of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Knowledge of data preprocessing, feature engineering, and model evaluation techniques. - Experience in graph database query interface (e.g. Neo4J, Apache Gremlin)
- Experience in implement projects with Gen Al Foundation Models, ML Ops, RAG, Vector Database
- Knowledge of Graph RAG, LLMOps Lifecycle, vector database maintenance is a plus Knowledge of LLM Engineering (e.g. chunking, embedding, prompt management, Observability, debugging)
- Good understanding of data modeling, ETL processes, data warehousing, and data governance principles.
- Familiarity with DevOps practices and tools for CI/CD in AWS environments.
- Excellent problem-solving skills with the ability to design and implement creative solutions for complex data challenges.
- Knowledge of data governance and compliance standards.
- Strong communication skills to effectively collaborate with technical and non-technical teams.

**Education and Certification**
- Bachelors or associate degree in IT discipline
- Certification in **AWS Certified: Al Practitioner** or **AWS Certified: Machine Learning Engineer** is added advantage.

**What we need to see from you**
- Report to development team lead.
- Confident in communicating with teammates from diverse backgrounds in English.
- Assist developers)/project team in analyzing and resolving technical issues.
- Assist in preparing manuals, specification and other technical documentations.
- Package and support deployment releases.

Assisting in the collection and documentation of user's requirements, development of user stories, and estimates

**Why you'll love working here**:

- Competitive and attractive salary, commensurate with skills and experience.
- Work in a dynamic, professional, and friendly environment.
- Participate in training courses to enhance professional skills.
- Opportunities for career advancement and development.
- Participate in team-building activities and annual vacation trips.