Bridge Labs IT Jobs in Accra
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As a Senior Data Scientist, you'll be instrumental in driving our technical strategy and building advanced AI solutions across computer vision and natural language processing domains. You'll help oversee complex R&D efforts, mentor technical talent, and work closely with our executive team to expand our suite of impactful AI products.
Responsibilities:
- Develop and Optimize NLP Models: Build and fine-tune GPT-based models to improve language understanding and generation for specific use cases.
- API & Backend Development: Create and maintain RESTful APIs, integrating the OpenAI API and develop backend infrastructure using Python and frameworks like Django or Flask.
- Cloud Deployment & DevOps: Deploy and manage AI applications on AWS, using Docker and Kubernetes, and maintain CI/CD pipelines for efficient updates.
- Data Management: Prepare and handle data for model training and inference, working with SQL/NoSQL databases to optimize data access and storage.
- Model Deployment & Maintenance: Deploy, monitor, and maintain AI models in production to ensure reliability and high performance in real-time.
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Technical Skills
- 35 years in AI, data science, or software engineering with leadership experience
- Strong expertise in:
- Python, Java, and C/C++ for core development
- TensorFlow, PyTorch, and scikit-learn for machine learning
- Cloud platforms (AWS, GCP, Azure) for deployment
- Docker and Kubernetes for containerization
- Experience with data pipelines and big data technologies (Spark, Kafka)
- Knowledge of NLP, transformer models, and large language models
- Experience with MLOps, CI/CD pipelines, and software development lifecycle
- Proven ability to manage technical projects, with a track record of delivering complex solutions
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 Senior Data Scientist, you'll be instrumental in driving our technical strategy and building advanced AI solutions across computer vision and natural language processing domains. You'll help oversee complex R&D efforts, mentor technical talent, and work closely with our executive team to expand our suite of impactful AI products.
Responsibilities:
- Develop and Optimize NLP Models: Build and fine-tune GPT-based models to improve language understanding and generation for specific use cases.
- API & Backend Development: Create and maintain RESTful APIs, integrating the OpenAI API and develop backend infrastructure using Python and frameworks like Django or Flask.
- Cloud Deployment & DevOps: Deploy and manage AI applications on AWS, using Docker and Kubernetes, and maintain CI/CD pipelines for efficient updates.
- Data Management: Prepare and handle data for model training and inference, working with SQL/NoSQL databases to optimize data access and storage.
- Model Deployment & Maintenance: Deploy, monitor, and maintain AI models in production to ensure reliability and high performance in real-time.
ADVERTISEMENT - CONTINUE READING BELOW ↓
Technical Skills
- 35 years in AI, data science, or software engineering with leadership experience
- Strong expertise in:
- Python, Java, and C/C++ for core development
- TensorFlow, PyTorch, and scikit-learn for machine learning
- Cloud platforms (AWS, GCP, Azure) for deployment
- Docker and Kubernetes for containerization
- Experience with data pipelines and big data technologies (Spark, Kafka)
- Knowledge of NLP, transformer models, and large language models
- Experience with MLOps, CI/CD pipelines, and software development lifecycle
- Proven ability to manage technical projects, with a track record of delivering complex solutions
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