AI Engineer Professional Services
AI Engineer Professional Services
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Job Description
About Us
Automation Anywhere is a leader in AIpowered process automation that puts AI to work across organizations. The companys Automation Success Platform is powered with specialized AI generative AI and offers process discovery RPA endtoend process orchestration document processing and analytics with a security and governancefirst approach. Automation Anywhere empowers organizations worldwide to unleash productivity gains drive innovation improve customer service and accelerate business growth. The company is guided by its vision to fuel the future of work by unleashing human potential through AIpowered automation. Learn more atwww.automationanywhere
Key Activities
Build train and finetune machine learning models tailored to project requirements.
Clean preprocess and analyze datasets to ensure quality inputs for AI agent/RAG implementation or model training.
Develop meaningful features to improve model performance and outcomes.
Package and deploy trained models into production using tools like Docker Kubernetes or cloud services.
Performance Monitoring: Track model performance in production environments and optimize for reliability and scalability.
Pipeline Automation: Develop and maintain automated workflows for data ingestion training and deployment.
Code Development: Write clean maintainable and efficient code following best practices.
Experimentation: Test various ML algorithms and architectures to find the optimal solution for specific problems.
Collaboration: Work closely with data scientists product managers and architects to align on technical objectives.
Troubleshooting: Debug and resolve issues in data pipelines model performance and production systems.
Documentation: Maintain comprehensive documentation for models workflows and codebases.
Skill Enhancement: Continuously learn new techniques and tools contributing to innovation in projects.
Skills & Qualification Criteria
58 years of handson experience in AI/ML development and deployment.
Strong understanding of machine learning concepts algorithms and workflows including supervised unsupervised and reinforcement learning.
Proficiency in Python and experience with libraries like TensorFlow PyTorch Scikitlearn or Hugging Face.
Experience with MLOps practices including model versioning CI/CD pipelines and monitoring tools (e.g. MLflow Kubeflow or SageMaker).
Expertise in data preprocessing feature engineering and working with largescale datasets using tools like Pandas NumPy Apache Spark or Hadoop.
Handson experience with AI/ML services on AWS GCP or Microsoft Azure. Have completed certifications from either of these hyper scaler providers.
Strong background on cloud services from various cloud service providers that integrates with AI/ML solutions
Strong programming skills in Python Java or other relevant languages;
Knowledge of deploying ML models in production environments using Docker Kubernetes or cloud native services.
Understanding of scalable and efficient system architectures for AI/ML pipelines.
Experience with Git and collaborative development workflows.
Problemsolving skills with a focus on developing efficient and innovative solutions.
Ability to explain technical details to peers and stakeholders clearly.
Passion for staying updated on emerging trends in AI/ML technologies.
All unsolicited resumes submitted to any @automationanywhere email address whether submitted by an individual or by an agency will not be eligible for an agency fee.
Required Experience:
Unclear Seniority
Employment Type
Full-Time
