Senior Ai Engineer
hace 2 meses
Location
Barcelona
Discipline:
Technology
Job type:
Permanent
Job ref:
AS - Senior AI Engineer
Published:
about 1 hour ago
Expiry date:
23 May 2024 23:59
My client, a prominent and acclaimed organization in the life science field, is presently seeking an adept Senior AI Engineer to join their team. In this role, you'll be an integral part of a dynamic team, contributing significantly to the design, implementation, and testing of state-of-the-art Machine Learning frameworks. You'll engage in rapid iterative prototyping, collaborating closely with experts in computer vision, machine learning, platform engineering, and research.
**Responsibilities**:
- Design, develop, and deploy tailored AI models for specific project needs, encompassing techniques such as NLP, Computer Vision, Speech & Conversational AI.
- Deliver and maintain end-to-end Machine Learning solutions in production, from data preparation to model update, utilizing MLOps methodologies.
- Collaborate with data scientists, ML engineers, and stakeholders to transition prototypes into production.
- Optimize algorithms to enhance performance and functionality.
- Integrate AI solutions into cloud platforms like AWS, Azure, or GCP.
- Stay abreast of the latest AI, LLMs, MLOps, and machine learning trends and best practices.
- Ensure the robustness, scalability, and reliability of AI solutions.
- Implement CI/CD pipelines using Azure DevOps/TFS.
- Provide technical leadership and mentorship in AI to team members.
- Work closely with cross-functional teams to integrate AI solutions into products and services.
**Requirements**:
- Minimum of 6+ years of experience in AI & ML.
- Expertise in biology, chemistry, engineering, data science, or machine learning.
- Proven experience in AI, ML, MLOps, Text Analytics, and Generative AI.
- Proficiency in programming languages like Python.
- Experience with machine learning frameworks such as TensorFlow, PyTorch, Keras, or Scikit-learn.
- Hands-on experience with cloud platforms such as AWS, Azure, or GCP.
- Familiarity with Machine Learning and Neural Network architectures like Ensemble Models, SVM, CNN, RNN, Transformers, etc.
- Proficiency in Natural Language Processing (NLP) tools like NLTK, Spacy, and Gensim.
- Familiarity with MLOps tools such as Kubeflow, MLflow, or Azure ML.
- Experience with SQL and NoSQL databases like MongoDB, Postgres, Neo4j, etc.
- Proficiency in RestAPI python frameworks such as Fast API/Flask/Django.
- Excellent problem-solving skills and a collaborative mindset.
- Strong communication skills to collaborate effectively with diverse teams.
- Ideally a Master's or PhD in Statistics, Mathematics, Computer Science, or another quantitative field.
- Knowledge and experience in statistical and data mining techniques such as GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
- Experience in creating and utilizing advanced machine learning algorithms and statistics, including regression, simulation, scenario analysis, modelling, clustering, decision trees, neural networks, etc.
- Experience in querying databases and using statistical computer languages like R, Python, etc.
- Published research or contributions to open-source AI/ML projects.
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