Machine Learning Engineer

1 week ago

Downtown Core, Singapore Searce Inc Full time

**Who we are**:
Searce is a modern tech consulting firm that empowers clients to futurify their businesses, leveraging Cloud, AI & Analytics.
- **We are a category-defining niche’ cloud-native technology consulting company, specializing in modernizing (improve, automate & transform) the full-scope of infra, app, process & work.**:

- **We partner with clients in their ‘beyond x’ journey to drive intelligent, impactful & futuristic business outcomes.**:

- **We are the most preferred tech partner of choice when it comes to ‘solving for better’ for the new-age tech startups & digital enterprises, leading disruption in their industries.**

**What are we looking for?**

As an ML Engineer, you will help develop and enhance the algorithms and technology that powers our unique system. This role covers a wide range of challenges, from developing new models using pre-existing components to enable current systems to be more intelligent.

**Responsibilities**:

- Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress.
- Managing available resources such as hardware, data, and personnel so that deadlines are met.
- Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability.
- Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world.
- Verifying data quality, and/or ensuring it via data cleaning.
- Supervising the data acquisition process if more data is needed.
- Finding available datasets online that could be used for training.
- Defining validation strategies.
- Defining the preprocessing or feature engineering to be done on a given dataset.
- Defining data augmentation pipelines.
- Training models and tuning their hyperparameters.
- Analyzing the errors of the model and designing strategies to overcome them.
- Deploying models to production.
- Knowledge and understanding of GCP Ecosystem.

**Qualification**
- BE/B.Tech/Masters in a quantitative field such as CS, EE, Information sciences, Statistics, Mathematics, Economics, Operations Research, or related, with focus on applied and foundational Machine Learning, AI, NLP and/or / data-driven statistical analysis & modelling.
- Strong, proven programming skills and with machine learning and deep learning and Big data frameworks including TensorFlow, Caffe, Spark, Hadoop.
- Experience with writing complex programs and implementing custom algorithms in these and other environments.
- Experience beyond using open source tools as-is, and writing custom code on top of, or in addition to, existing open source frameworks.
- Proven capability in demonstrating successful advanced technology solutions (either prototypes, POCs, well-cited research publications, and/or products) using ML/AI/NLP/data science in one or more domains.
- Research and implement novel machine learning and statistical approaches.
- Experience in data management, data analytics middleware, platforms and infrastructure, cloud and fog computing is a plus.
- Excellent communication skills (oral and written) to explain complex algorithms, solutions to stakeholders across multiple disciplines, and ability to work in a diverse team.

Pay: $70,000.00 - $140,000.00 per year

**Benefits**:

- Health insurance

Schedule:

- Day shift

Supplemental Pay:

- Yearly bonus

Work Location: In person

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