Afriwork (Freelance Ethiopia)

Job Title: Senior Machine Learning Engineer

Job Type: On-site - Permanent (Full-time)

Job Sector: #Software_design_and_Development

Work Location: Addis Ababa, Ethiopia

Education Qualification: Bachelor's Degree

Experience Level: Senior

Vacancies: 2

Salary/Compensation: Monthly

Deadline: September 30th, 2024

Description:
We are an AI consultant firm working in collaboration with AI research, development and innovation institutions, and international NGOs like USAID and JSI with special focus in African digital health.

Roles and Responsibilities
1. Algorithm Development: Design, develop, and implement deep learning algorithms and models to solve complex business problems.
2. Data Analysis: Analyze large datasets to extract meaningful insights and identify patterns relevant to the problem domain.
3. Model Training and Evaluation: Train, validate, and optimize deep learning models using techniques like cross-validation and hyperparameter tuning.
4. Deployment and Integration: Deploy machine learning models into production systems and integrate them with existing/new software infrastructure.
5. Performance Monitoring: Monitor model performance over time, diagnose issues, and implement improvements as needed.
6. Collaboration: Collaborate with cross-functional teams including data scientists, software engineers, and business stakeholders to translate requirements into technical solutions.
7. Research and Innovation: Stay updated with the latest advancements in machine learning and propose innovative solutions to enhance product capabilities.

Skills:
1. Strong Programming Skills: Proficiency in languages such as Python, along with experience with relevant libraries and frameworks like TensorFlow, PyTorch, or scikit-learn.
2. Statistical Analysis: Solid understanding of statistical concepts and techniques for data analysis and modeling.
3. Machine Learning Expertise: Deep understanding of various deep learning algorithms, including LSTM, LLM and GenAI.
4. Data Engineering: Experience with data preprocessing, feature engineering, and handling large-scale datasets using tools like SQL and Spark.
5. Software Development Practices: Familiarity with software engineering principles, version control systems (e.g., Git), microservices architecture, and agile methodologies.
6. Problem-Solving Skills: Ability to identify business problems, formulate them into machine learning tasks, and develop effective solutions.
7. Communication Skills: Strong verbal and written communication skills for effectively conveying technical concepts to both technical and non-technical stakeholders.

Behavioural Competencies:
1. Analytical Thinking: Ability to break down complex problems into smaller components and apply analytical thinking to devise efficient solutions.
2. Adaptability: Willingness to adapt to changing project requirements, technologies, and methodologies in a dynamic environment.
3. Collaboration: Aptitude for working collaboratively in a team environment, sharing knowledge, and contributing to team success.
4. Attention to Detail: Meticulousness in ensuring the accuracy and quality of data, code, and model outputs.
5. Innovation: Proactiveness in exploring new ideas, experimenting with novel techniques, and driving innovation within the team.
6. Time Management: Capability to prioritize tasks effectively, manage time efficiently, and meet project deadlines consistently.

__________________

Private Client

1 Jobs Posted

From: @freelance_ethio | @freelanceethbot

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www.tg-me.com/us/Freelance Ethiopia Afriwork/com.freelance_ethio/67594

7.6K viewsMay 16 at 11:56

Job Title: Senior Machine Learning Engineer

Job Type: On-site - Permanent (Full-time)

Job Sector: #Software_design_and_Development

Work Location: Addis Ababa, Ethiopia

Education Qualification: Bachelor's Degree

Experience Level: Senior

Vacancies: 2

Salary/Compensation: Monthly

Deadline: September 30th, 2024

Description:
We are an AI consultant firm working in collaboration with AI research, development and innovation institutions, and international NGOs like USAID and JSI with special focus in African digital health.

Roles and Responsibilities
1. Algorithm Development: Design, develop, and implement deep learning algorithms and models to solve complex business problems.
2. Data Analysis: Analyze large datasets to extract meaningful insights and identify patterns relevant to the problem domain.
3. Model Training and Evaluation: Train, validate, and optimize deep learning models using techniques like cross-validation and hyperparameter tuning.
4. Deployment and Integration: Deploy machine learning models into production systems and integrate them with existing/new software infrastructure.
5. Performance Monitoring: Monitor model performance over time, diagnose issues, and implement improvements as needed.
6. Collaboration: Collaborate with cross-functional teams including data scientists, software engineers, and business stakeholders to translate requirements into technical solutions.
7. Research and Innovation: Stay updated with the latest advancements in machine learning and propose innovative solutions to enhance product capabilities.

Skills:
1. Strong Programming Skills: Proficiency in languages such as Python, along with experience with relevant libraries and frameworks like TensorFlow, PyTorch, or scikit-learn.
2. Statistical Analysis: Solid understanding of statistical concepts and techniques for data analysis and modeling.
3. Machine Learning Expertise: Deep understanding of various deep learning algorithms, including LSTM, LLM and GenAI.
4. Data Engineering: Experience with data preprocessing, feature engineering, and handling large-scale datasets using tools like SQL and Spark.
5. Software Development Practices: Familiarity with software engineering principles, version control systems (e.g., Git), microservices architecture, and agile methodologies.
6. Problem-Solving Skills: Ability to identify business problems, formulate them into machine learning tasks, and develop effective solutions.
7. Communication Skills: Strong verbal and written communication skills for effectively conveying technical concepts to both technical and non-technical stakeholders.

Behavioural Competencies:
1. Analytical Thinking: Ability to break down complex problems into smaller components and apply analytical thinking to devise efficient solutions.
2. Adaptability: Willingness to adapt to changing project requirements, technologies, and methodologies in a dynamic environment.
3. Collaboration: Aptitude for working collaboratively in a team environment, sharing knowledge, and contributing to team success.
4. Attention to Detail: Meticulousness in ensuring the accuracy and quality of data, code, and model outputs.
5. Innovation: Proactiveness in exploring new ideas, experimenting with novel techniques, and driving innovation within the team.
6. Time Management: Capability to prioritize tasks effectively, manage time efficiently, and meet project deadlines consistently.

__________________

Private Client

1 Jobs Posted

From: @freelance_ethio | @freelanceethbot

For our Amharic Channel, Join @afriworkamharic

BY Afriwork (Freelance Ethiopia)