Job Summary:
We are seeking an Applied Artificial Intelligence (AI) Engineer to design develop and deploy AI-driven solutions that transform digital processes and enhance decision-making capabilities. The ideal candidate combines strong AI/ML engineering expertise with practical application experience in real-world digital transformation scenarios.
Key Responsibilities:
-
Design develop and implement AI/ML models and algorithms for business applications.
-
Apply AI techniques such as machine learning deep learning natural language processing (NLP) computer vision and generative AI to solve practical problems.
-
Collaborate with cross-functional teams (data scientists software engineers and product managers) to integrate AI capabilities into digital platforms and enterprise systems.
-
Develop and optimize data pipelines model training workflows and deployment strategies using MLOps best practices.
-
Evaluate emerging AI technologies and frameworks for potential adoption in digital transformation projects.
-
Conduct performance analysis fine-tuning and model interpretability testing.
-
Document design and implementation details to ensure maintainability and compliance.
-
Work closely with cloud and DevOps teams to operationalize AI models at scale.
Technical Skills:
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Languages: Python Java or C
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Frameworks/Libraries: TensorFlow PyTorch Keras Scikit-learn Hugging Face Transformers
-
MLOps Tools: MLflow Kubeflow AWS Sagemaker Azure ML or GCP Vertex AI
-
Data Handling: SQL NoSQL Spark Pandas NumPy
-
Cloud Platforms: AWS / Azure / Google Cloud (AI & Data Services)
-
Version Control: Git GitHub/GitLab
-
Optional (nice-to-have): LangChain LlamaIndex RAG pipelines Generative AI (LLMs Diffusion Models)
Soft Skills:
-
Strong analytical and problem-solving abilities
-
Ability to translate business requirements into technical AI solutions
-
Excellent communication and collaboration skills
-
Passion for continuous learning and emerging AI technologies
Job Summary: We are seeking an Applied Artificial Intelligence (AI) Engineer to design develop and deploy AI-driven solutions that transform digital processes and enhance decision-making capabilities. The ideal candidate combines strong AI/ML engineering expertise with practical application experien...
Job Summary:
We are seeking an Applied Artificial Intelligence (AI) Engineer to design develop and deploy AI-driven solutions that transform digital processes and enhance decision-making capabilities. The ideal candidate combines strong AI/ML engineering expertise with practical application experience in real-world digital transformation scenarios.
Key Responsibilities:
-
Design develop and implement AI/ML models and algorithms for business applications.
-
Apply AI techniques such as machine learning deep learning natural language processing (NLP) computer vision and generative AI to solve practical problems.
-
Collaborate with cross-functional teams (data scientists software engineers and product managers) to integrate AI capabilities into digital platforms and enterprise systems.
-
Develop and optimize data pipelines model training workflows and deployment strategies using MLOps best practices.
-
Evaluate emerging AI technologies and frameworks for potential adoption in digital transformation projects.
-
Conduct performance analysis fine-tuning and model interpretability testing.
-
Document design and implementation details to ensure maintainability and compliance.
-
Work closely with cloud and DevOps teams to operationalize AI models at scale.
Technical Skills:
-
Languages: Python Java or C
-
Frameworks/Libraries: TensorFlow PyTorch Keras Scikit-learn Hugging Face Transformers
-
MLOps Tools: MLflow Kubeflow AWS Sagemaker Azure ML or GCP Vertex AI
-
Data Handling: SQL NoSQL Spark Pandas NumPy
-
Cloud Platforms: AWS / Azure / Google Cloud (AI & Data Services)
-
Version Control: Git GitHub/GitLab
-
Optional (nice-to-have): LangChain LlamaIndex RAG pipelines Generative AI (LLMs Diffusion Models)
Soft Skills:
-
Strong analytical and problem-solving abilities
-
Ability to translate business requirements into technical AI solutions
-
Excellent communication and collaboration skills
-
Passion for continuous learning and emerging AI technologies
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