Senior Ai Engineer
10 hours ago
**AKILA**:
This is Akila - A digital twin platform designed for the ESG era
- Company type
- IT Product
- Company industry
- Media, Advertising and Entertainment
- Company size
- 51-150 employees
- Country
- Singapore
- Working days
- Monday - Friday
- Overtime policy
- No OT
- At office
- Skills:
- Python
English
**Top 3 reasons to join us**:
- We are a green team not a mean team
- Attractive package
- Flexible working time
**Job description**:
- Design, develop, and deploy advanced machine learning models and generative AI to enhance product features and capabilities.
- Implement scalable and efficient ML pipelines for processing data from data lake and/or data warehouse.
- Conduct thorough data analysis to extract meaningful insights and patterns from related datasets.
- Continuously monitor and evaluate model performance, making necessary adjustments and improvements.
- Collaborate closely with team members within the organization (i.e. AI scientists, Product, QA, Backend Engineer, Leadership, etc.).
- Implement agile, hands-on approaches in project execution, ensuring flexibility and responsiveness to evolving business needs.
- Communicate technical concepts and project progress effectively to both technical and non-technical stakeholders, ensuring transparency and alignment.
- Solve technical issues and help shape an overarching strategy.
- Stay up-to-date with the latest advancements in ML/AI, and ESG technologies.
- Contribute to the team's knowledge sharing, fostering an environment that values innovative thinking and the exploration of new ideas in Machine Learning.
**Your skills and experience**:
- Bachelor’s or above in Computer Science, Electrical Engineering, Data Science, or related field.
- Minimum 5 years of experience in Machine Learning, Data Science, and Software Engineering.
- Experience in applied ML with a proven record of successful ML projects with vital individual contribution.
- Deep understanding of data structure, performance optimization, and algorithms.
- Proficiency in Python, and familiarity with Linux.
- Experience of MLOps and platform building experience is preferred.
- Strong background in some popular ML/AI frameworks and Python libraries.
- Hands-on experience with optimization frameworks (e.g., RayTune, Optuna or Hyperopt).
- Experience with containerized environments and microservices (Docker, Kubernetes).
- Proven Experience with SQL/NoSQL DBs, Celery, Kafka, Elasticsearch and other Big Data technologies.
- Strong communication, collaboration, problem-solving, and analytical skills.
- Team oriented, details oriented. Adaptable, resilient, and positive attitude.
- Good English communication.
**Why you'll love working here**:
- We are a green team not a mean team
- Attractive package
- Flexible working time (Hybrid work can be applied)
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