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Description:
We are seeking highly skilled Machine Learning/AI Engineers to contribute to cutting-edge projects for clients.
You will design, develop, and implement advanced AI/ML solutions in a remote, collaborative environment.
Responsibilities include designing, developing, and implementing machine learning models and AI algorithms tailored to client needs.
You will work on a variety of projects spanning commercial, governmental, and academic domains.
Collaborate closely with clients to understand their requirements and translate them into technical solutions.
Develop and maintain robust and scalable machine learning pipelines.
Conduct thorough experimentation and evaluation of different models and techniques.
Stay up-to-date with the latest advancements in Machine Learning and AI.
Communicate complex technical concepts clearly and effectively to both technical and non-technical audiences.
Potentially integrate and deploy machine learning solutions into client environments.
Contribute to the technical direction and strategy of projects.
Requirements:
A minimum Master's degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related quantitative field is required; a PhD is preferred.
Proven industry experience of 2+ years in applying Machine Learning and AI techniques is preferred.
A strong theoretical understanding of machine learning algorithms, including deep learning, NLP, computer vision, and reinforcement learning is necessary.
Excellent programming skills in Python and relevant ML libraries such as TensorFlow, PyTorch, and scikit-learn are required.
Experience with data manipulation and analysis using tools like Pandas and NumPy is essential.
Familiarity with cloud computing platforms such as AWS, Azure, or GCP is a plus.
Strong problem-solving and analytical skills are required.
Excellent communication and collaboration abilities are necessary.
The ability to work independently and manage time effectively in a remote setting is essential.
Fluency in English is required.
Benefits:
This is a full-time position.
The role is remote, allowing for flexibility in work location.
The position operates in the UK Timezone.
Salary is flexible and will depend on experience.
Apply now
Please, let Bamboo Works know you found this job
on RemoteYeah
.
This helps us grow 🌱.