Applied AI Engineer @ SOCOTEC | Jobright.ai
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SOCOTEC · 3 days ago

Applied AI Engineer

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Responsibilities

Developing AI Models: Design and implement machine learning models tailored to natural language processing (NLP) and other AI applications within our chatbot and enterprise systems.
Collaborating with Cross-Functional Teams: Work closely with product managers, data scientists, and software engineers to translate business requirements into intelligent AI-driven solutions.
Building and Maintaining AI Pipelines: Create and optimize end-to-end machine learning pipelines, from data preprocessing to model deployment, ensuring scalability and performance.
Optimizing Model Performance: Continuously fine-tune and improve the accuracy, speed, and robustness of AI models, leveraging techniques like hyperparameter tuning and model optimization.
Implementing Best Practices in AI/ML Development: Ensure the reliability and quality of AI models by following best practices for training, testing, and model evaluation.
Integrating AI Solutions: Work closely with backend engineers to integrate AI models into production environments using tools like LangChain and cloud services.
Staying Updated with AI/ML Trends: Keep up with the latest developments in AI, machine learning, and natural language processing, applying new techniques to improve our technology stack.
Documentation: Provide detailed documentation of AI workflows, models, and algorithms to facilitate collaboration and ensure long-term maintainability.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

PythonNatural Language ProcessingAI Model DevelopmentModel OptimizationScikit-learnTensorFlowPyTorchHugging FaceData PreprocessingModel TrainingModel EvaluationModel DeploymentAWSGCPAzureLangChainDockerJupyter NotebookGitGitHubAgile DevelopmentReinforcement LearningTransfer LearningModel MonitoringA/B Testing

Required

Proficiency in Python and experience with AI/ML libraries such as Scikit-learn, TensorFlow, PyTorch, and Hugging Face.
Strong understanding of natural language processing (NLP) and experience building chatbot or conversational AI systems.
Hands-on experience with AI model development, including data preprocessing, model training, evaluation, and deployment.
Familiarity with AI/ML tools like Jupyter Notebook and cloud platforms such as AWS, GCP, or Azure.
Experience with version control systems (e.g., Git, GitHub) and agile development methodologies.
Ability to optimize model performance and scale AI solutions for production use.
Experience with frameworks like LangChain for building conversational AI workflows.

Preferred

Familiarity with reinforcement learning, transfer learning, or other advanced AI techniques.
Knowledge of model monitoring, A/B testing, and continuous improvement strategies for AI systems.
Experience with containerization tools like Docker for deploying AI solutions.
Passion for exploring and implementing the latest advancements in AI technology.

Benefits

Competitive salary and benefits
Mentorship
Training
Social activities

Company

SOCOTEC is a global provider of services to businesses.

H1B Sponsorship

SOCOTEC has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (1)
2022 (3)

Funding

Current Stage
Late Stage
Total Funding
$589.84M
Key Investors
CD&R LLP
2019-09-26Secondary Market· $589.84M
2013-02-21Series Unknown
2013-02-08Acquired

Leadership Team

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Hervé François Marie Montjotin
Chief executive officer and President
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Ian Sparks
Chief executive officer of environmental scientifics group
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Company data provided by crunchbase
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