Appruve IT Jobs in Accra
1. Patiently scroll down and read the job description below.
2. Scroll down and find how to apply or mode of application for this job after the job description.
3. Carefully follow the instructions on how to apply.
4. Always apply for a job by attaching CV with a Cover Letter / Application Letter.
As a Machine Learning Engineer, you will assist in the development, implementation and management of Appruve’s financial data and compliance automation infrastructure to help meet our clients’ needs.
What You’ll do:
You will report directly to the Chief Technology Officer. Your duties and responsibilities as a Machine Learning Engineer include:
- Design machine learning systems
- Research and implement appropriate ML algorithms and tools
]ad]
- Develop machine learning applications according to requirements
- Select appropriate datasets and data representation methods
- Run machine learning tests and experiments
- Perform statistical analysis and fine-tuning using test results
- Train and retrain systems when necessary
- Extend existing ML libraries and frameworks
- Keep abreast of developments in the field
We’re looking for someone with:
- Proven experience as a Machine Learning Engineer or similar role
- Understanding of data structures, data modeling and software architecture
- Deep knowledge of math, probability, statistics and algorithms
- Ability to write robust code
- Excellent communication skills
- Ability to work in a team
- Outstanding analytical and problem-solving skills
- You have hands on experience with the following:
- with document security features, public key infrastructure (PKI), document imaging, and optical character recognition (OCR)
- engineering solutions to optimize, monitor, and measure performance of operational biometric systems
- conducting (and/or leading) research and development of biometric, identity management, and fraud prevention solutions
- developing alternate concepts of operation to improve biometric sample and image quality, including automated image quality assessment, image enhancement, device calibration
- developing software algorithms to assess and improve image quality
- conducting research and assessment to develop technical contributions/guidance for national and international biometrics standards, proposed standards, laws and policies
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- You desire to work in an agile and cross functional team environment, understand team goals and generate appropriate, innovative analytical insights to drive process and experience improvement
- You challenge the status quo, are hungry to explore, evaluate, and understand new technologies, and wish to share insights and mentor your peers
- You possess the ability to qualify for a security clearance
- BS in Computer Science, Mathematics or similar field; Master’s degree/PHD is a plus
Benefits
- Be part of an international, ambitious and successful team
- Be part of a pioneering innovation
- Support to attend international dev conferences related to your work and that of Appruve
- Global / regional network / exposure in FinTech and RegTech
- Diverse career growth opportunities
- Kind and caring team mates
- Competitive pay during the internship period with the possibility of being retained full time.
1. Patiently scroll down and read the job description below.
2. Scroll down and find how to apply or mode of application for this job after the job description.
3. Carefully follow the instructions on how to apply.
4. Always apply for a job by attaching CV with a Cover Letter / Application Letter.
As a Machine Learning Engineer, you will assist in the development, implementation and management of Appruve’s financial data and compliance automation infrastructure to help meet our clients’ needs.
What You’ll do:
You will report directly to the Chief Technology Officer. Your duties and responsibilities as a Machine Learning Engineer include:
- Design machine learning systems
- Research and implement appropriate ML algorithms and tools
]ad]
- Develop machine learning applications according to requirements
- Select appropriate datasets and data representation methods
- Run machine learning tests and experiments
- Perform statistical analysis and fine-tuning using test results
- Train and retrain systems when necessary
- Extend existing ML libraries and frameworks
- Keep abreast of developments in the field
We’re looking for someone with:
- Proven experience as a Machine Learning Engineer or similar role
- Understanding of data structures, data modeling and software architecture
- Deep knowledge of math, probability, statistics and algorithms
- Ability to write robust code
- Excellent communication skills
- Ability to work in a team
- Outstanding analytical and problem-solving skills
- You have hands on experience with the following:
- with document security features, public key infrastructure (PKI), document imaging, and optical character recognition (OCR)
- engineering solutions to optimize, monitor, and measure performance of operational biometric systems
- conducting (and/or leading) research and development of biometric, identity management, and fraud prevention solutions
- developing alternate concepts of operation to improve biometric sample and image quality, including automated image quality assessment, image enhancement, device calibration
- developing software algorithms to assess and improve image quality
- conducting research and assessment to develop technical contributions/guidance for national and international biometrics standards, proposed standards, laws and policies
ADVERTISEMENT - CONTINUE READING BELOW
- You desire to work in an agile and cross functional team environment, understand team goals and generate appropriate, innovative analytical insights to drive process and experience improvement
- You challenge the status quo, are hungry to explore, evaluate, and understand new technologies, and wish to share insights and mentor your peers
- You possess the ability to qualify for a security clearance
- BS in Computer Science, Mathematics or similar field; Master’s degree/PHD is a plus
Benefits
- Be part of an international, ambitious and successful team
- Be part of a pioneering innovation
- Support to attend international dev conferences related to your work and that of Appruve
- Global / regional network / exposure in FinTech and RegTech
- Diverse career growth opportunities
- Kind and caring team mates
- Competitive pay during the internship period with the possibility of being retained full time.
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