AI/ML Engineer

17 hours ago

Delhi, India Optum Full time
Key Responsibilities:
Design, develop, test, document, and deploy Salesforce solutions based on business needs.
Develop and deploy AI/ML models for real-time decision-making and automation.
Integrate AI/ML solutions into Salesforce CRM to enable intelligent data retrieval, personalized recommendations, workflow automation, forecasting, scoring, and opportunity insights.
Enhance Salesforce applications with advanced AI features using both native (Einstein/Einstein GPT) and external technologies ( Python-based models or Azure/AWS ML services ).
Build and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases and Large Language Models (LLMs) for improved contextual understanding within Salesforce workflows.
Extend platform functionality using Apex (Triggers/Classes), LWC, Aura Framework, Visualforce Pages, Apex APIs and web services.
Create custom AI-powered automation solutions including Einstein Bots and bespoke bots for sales/service processes.
Manage CI/CD processes with Git to ensure efficient deployment of updates.
Collaborate with product managers, engineers, and data teams to identify opportunities for impactful AI-driven enhancements in the Salesforce ecosystem.
Ensure scalability, security/compliance (especially regarding sensitive customer data), reliability and performance of deployed models in production environments.
Monitor model accuracy and relevance; continuously improve user experience through feedback loops.
Stay current with advancements in generative AI (including transformers), enterprise-grade integrations/platforms/tools; evaluate applicability to organizational needs.
Required Qualifications:
Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or a related field.
4-6 years of hands-on experience in Salesforce development and AI/ML engineering, with a focus on NLP and generative models.
Strong proficiency in
Python and ML frameworks
(e.g., PyTorch, TensorFlow, Hugging Face).
Proven experience with RAG architectures, vector databases (e.g., FAISS, Pinecone), and large language models (LLMs) such as GPT or LLaMA.
Demonstrated ability to integrate AI systems with Salesforce CRM using APIs, Apex, or MuleSoft.
Salesforce ADM 201 and PD1 certifications are required.
Solid background in Agile methodologies; experience working with distributed/offshore teams is a plus.
Familiarity with MLOps tools and practices (e.g., MLflow, Docker, Kubernetes).
Experience establishing and supporting Salesforce Communities (Customer Community).
Excellent communication skills; strong problem-solving abilities; ability to work both independently and collaboratively within multidisciplinary teams.
Preferred Qualifications:
Experience with cloud platforms (AWS, Azure, GCP) and scalable AI deployments.
Knowledge of Salesforce data models, workflows, and automation tools.
Salesforce App Builder, Salesforce PD2 certification.
Experience in enterprise domains such as healthcare, finance, or customer service.
Understanding of data privacy, compliance, and ethical AI principles.

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