AI/ML Builder

5 - 7 years

8 - 10 Lacs

Posted:1 day ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Part Time

Job Description

AI/ML Builders
Experience: 5–7 Years
Job Type : Contractual
Work Mode : Hybrid
Location: Noida, Pune, Chennai, Hyderabad, Bangalore
Shift: 11:00 AM – 9:00 PM

Job Summary :
We are seeking a skilled AI/ML Builder with strong experience in Salesforce development and AI-driven solutions. The role focuses on building intelligent, scalable Salesforce applications using Einstein / Einstein GPT, machine learning models, Generative AI, and RAG-based LLM pipelines. This position requires hands-on Salesforce engineering combined with modern AI/ML and cloud integration expertise.

Key Responsibilities :

  • Design, develop, and deploy scalable Salesforce solutions using Apex, LWC, Aura, Visualforce, and APIs
  • Build and integrate AI/ML models for automation, predictions, recommendations, and forecasting
  • Implement Einstein, Einstein GPT, and external ML services (Python, Azure/AWS ML)
  • Develop Generative AI and RAG pipelines using LLMs and vector databases
  • Create AI-powered automation, Einstein Bots, and intelligent assistants
  • Build secure integrations between Salesforce and external systems
  • Manage deployments using CI/CD pipelines (Git, GitHub, Azure DevOps)
  • Ensure security, scalability, and compliance of AI-driven solutions
  • Collaborate with cross-functional teams to deliver AI-enabled enhancements

Must-Have Skills :

  • Bachelor’s degree in Computer Science or related field
  • 5–7 years of hands-on Salesforce development experience
  • Strong experience with AI/ML model development and deployment
  • Expertise in Einstein / Einstein GPT and Salesforce AI integrations
  • Solid understanding of LLMs, transformers, vector databases, and RAG architectures
  • Proficiency in Apex, LWC, Aura, APIs, and Salesforce development tools
  • Experience with CI/CD, Git, and DevOps practices

Good-to-Have Skills :

  • Salesforce certifications (Platform Developer, Einstein, AI Specialist)
  • Experience with MLOps and ML lifecycle management
  • Knowledge of cloud platforms (Azure, AWS, GCP)
  • Exposure to event-driven architectures and microservices

Job Type: Contractual / Temporary
Contract length: 6-12 months

Pay: ₹70,000.00 - ₹90,000.00 per month

Experience:

  • Python: 5 years (Required)
  • Salesforce: 5 years (Required)

Work Location: In person

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