AI Engineer with Python100 Remote

Job Title -AI Engineer with Python

Experience Required - 6 years

Time zone - 2pm -10PM

Work Mode -Remote

Position overview

We are seeking a skilled AI Engineer to design develop and deploy AI-ML driven solutions that enhance business capabilities automate processes and improve customer and employee experiences. The ideal candidate has a strong foundation in machine learning large language models (LLMs) data engineering and cloud platforms with the ability to productionize models at scale.

Responsibilities
- Design build and deploy machine learning and generative AI models including LLMs embeddings transformers and RAG pipelines.
- Develop scalable AI services and microservices using Python REST APIs and cloud native technologies.
Optimize models for performance accuracy and cost efficiency.
- Work with structured and unstructured datasets for feature engineering vectorization and model training.
Build data pipelines for training validation and inference.
- Collaborate with data engineering teams on data ingestion storage and governance.
- Implement CI/CD pipelines for machine learning models and MLOps workflows.
- Monitor model performance and drift and implement retraining strategies.
- Manage model lifecycle processes logging and observability.
- Integrate AI systems with enterprise applications APIs and cloud platforms such as Azure AWS and GCP.
- Build Retrieval Augmented Generation (RAG) architectures leveraging vector databases such as Pinecone FAISS Weaviate or Azure AI Search.
- Ensure solutions align with enterprise security compliance and responsible AI standards.
- Work with product engineering domain experts and business teams to translate requirements into technical solutions.
- Communicate AI capabilities and limitations to non-technical stakeholders.
- Conduct proofs of concept (POCs) demonstrations and conceptual solution design activities.

Requirements
- Strong proficiency in Python including NumPy Pandas PyTorch TensorFlow and Transformers minimum 5-6 years.
- Hands-on experience with LLMs including OpenAI Azure OpenAI Anthropic and Llama models.
- Experience with machine learning algorithms natural language processing (NLP) deep learning and vector embeddings.
- Experience with cloud platforms such as Azure AWS and GCP including serverless computing services.
- Familiarity with MLOps tools such as MLflow Kubeflow Azure Machine Learning Amazon SageMaker or Databricks.
- Experience working with vector databases including Pinecone Chroma FAISS and Azure AI Search.
- Knowledge of containerization and orchestration technologies such as Docker and Kubernetes.

Required Skills:

PythonPandasNumPyArtificial IntelligenceAzure