Role: AI Engineer with Python
Location: London
Work mode: Hybrid
Exp: 6 yrs and above
Hiring: AI Engineer (Python) FullTime
We are looking for a talented AI Engineer with strong Python expertise to join our team and help build intelligent scalable AI solutions.
Tasks
Key Responsibilities
- Develop train and deploy ML/DL models using Python.
- Work with TensorFlow / PyTorch / Scikitlearn for model building.
- Build data pipelines and perform data preprocessing & feature engineering.
- Integrate AI models into applications via APIs (Flask/FastAPI).
- Optimize models run experiments and improve performance.
- Collaborate with data engineers product and software teams.
- Follow best practices in MLOps model versioning & monitoring.
Requirements
Required Skills
- Strong knowledge of Python and ML libraries (NumPy Pandas Scikitlearn).
- Experience with deep learning frameworks (TensorFlow or PyTorch).
- Solid understanding of ML algorithms NLP and data processing.
- Experience with cloud platforms (Azure / AWS / GCP).
- Knowledge of SQL/NoSQL databases.
Benefits
Good to Have
- Experience with LLMs / Generative AI / model finetuning.
- Understanding of MLOps tools (MLflow Kubeflow Airflow).
- Experience with Docker/Kubernetes.
Role: AI Engineer with PythonLocation: LondonWork mode: HybridExp: 6 yrs and above Hiring: AI Engineer (Python) FullTimeWe are looking for a talented AI Engineer with strong Python expertise to join our team and help build intelligent scalable AI solutions.Tasks Key ResponsibilitiesDevelop train an...
Role: AI Engineer with Python
Location: London
Work mode: Hybrid
Exp: 6 yrs and above
Hiring: AI Engineer (Python) FullTime
We are looking for a talented AI Engineer with strong Python expertise to join our team and help build intelligent scalable AI solutions.
Tasks
Key Responsibilities
- Develop train and deploy ML/DL models using Python.
- Work with TensorFlow / PyTorch / Scikitlearn for model building.
- Build data pipelines and perform data preprocessing & feature engineering.
- Integrate AI models into applications via APIs (Flask/FastAPI).
- Optimize models run experiments and improve performance.
- Collaborate with data engineers product and software teams.
- Follow best practices in MLOps model versioning & monitoring.
Requirements
Required Skills
- Strong knowledge of Python and ML libraries (NumPy Pandas Scikitlearn).
- Experience with deep learning frameworks (TensorFlow or PyTorch).
- Solid understanding of ML algorithms NLP and data processing.
- Experience with cloud platforms (Azure / AWS / GCP).
- Knowledge of SQL/NoSQL databases.
Benefits
Good to Have
- Experience with LLMs / Generative AI / model finetuning.
- Understanding of MLOps tools (MLflow Kubeflow Airflow).
- Experience with Docker/Kubernetes.
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