AI and BI Solutions Developer
Eightfold
AirflowAmazon RedshiftApacheAWSAzureBigQueryCloudETLGoogle Cloud PlatformKafkaPythonSpark+2 more
AI Solution Architect
RSM US LLP
full-time
Posted on:
Location Type: Office
Location: Hyderabad • 🇮🇳 India
Visit company websiteJob Level
SeniorLead
Tech Stack
AWSAzureCloudPythonPyTorchScikit-LearnTensorflow
About the role
- Architect end-to-end AI/ML pipelines, including data ingestion, preprocessing, model training, deployment, and monitoring, ensuring scalability and performance
- Evaluate and select appropriate AI frameworks, tools, and cloud services (e.g., AWS SageMaker, Azure AI, Google Cloud AI) based on project requirements
- Design solutions using large language models (LLMs) and RAG architectures for applications like content generation, customer engagement, or product design
- Work with data scientists, engineers, product managers, and executives to translate business needs into technical solutions, acting as a trusted advisor
- Implement responsible AI practices, addressing bias, security, and compliance in AI systems
- Establish CI/CD pipelines, model versioning, and monitoring frameworks to operationalize AI solutions
- Advocate for AI-driven innovation, mentor teams, and communicate technical concepts to non-technical stakeholders
- Ensure AI solutions meet latency, cost, and quality requirements, optimizing for production environments
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field
- 8+ years of experience in ML engineering, data science, or software architecture, with 3+ years in AI/ML solution design
- Proficiency in Python, R, or Julia for AI/ML development
- Expertise in ML frameworks like TensorFlow, PyTorch, Hugging Face, or Scikit-learn
- Experience with cloud platforms (AWS, Azure, Google Cloud) and AI services like Amazon Bedrock or Azure AI Foundry
- Knowledge of MLOps tools (e.g., Kubeflow, MLflow) and CI/CD pipelines
- Familiarity with generative AI techniques, including prompt engineering, fine-tuning, and RAG
- Strong communication to bridge technical and business teams
- Analytical thinking for evaluating trade-offs and designing optimal solutions
- Leadership and mentorship to guide cross-functional teams
- Experience in industries like healthcare, finance, or technology, with an understanding of relevant use cases (e.g., drug discovery, personalized marketing)
- Certifications: AWS Certified Machine Learning – Specialty, Microsoft Azure AI Engineer Associate, Google Cloud Professional Machine Learning Engineer, Coursera or Edureka AI/ML certifications (e.g., DeepLearning.AI’s Generative AI Specialization), ITIL or TOGAF for enterprise architecture alignment (optional)
Benefits
- Health insurance
- Flexible work arrangements
- Professional development opportunities
- Competitive benefits and compensation package
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AI/ML pipelinesdata ingestionmodel trainingmodel deploymentPythonRJuliaTensorFlowPyTorchMLOps
Soft skills
communicationanalytical thinkingleadershipmentorshiptrusted advisor
Certifications
AWS Certified Machine Learning – SpecialtyMicrosoft Azure AI Engineer AssociateGoogle Cloud Professional Machine Learning EngineerDeepLearning.AI’s Generative AI SpecializationITILTOGAF