AI/ML DeveloperCozzera • gurugram, India
No longer accepting applications
AI / ML Developer
Cozzera • gurugram, India
1 day ago
Job descriptionDevelop, train, and deploy AI / ML models for predictions, automation, scoring, and forecasting. Integrate AI / ML models into Salesforce using Einstein / Einstein GPT and external services (Python models, AWS / Azure ML services). Design and optimize RAG pipelines leveraging LLMs and vector databases. Build Einstein Bots and custom GenAI-driven conversational bots. Manage CI / CD processes using Git and modern deployment tools. Ensure scalability, reliability, and performance of AI / ML pipelines. Implement best practices for data governance, security, and compliance. Monitor model performance, conduct fine-tuning, and maintain feedback loops. Work with product, engineering, and data teams to identify AI-driven optimization opportunities. Stay updated with emerging Generative AI technologies (LLMs, transformers, enterprise AI tools). Bachelor’s degree in CS, IT, Statistics, or related field. 5–7 years of experience in AI / ML development and Salesforce custom development. Strong experience with Einstein, Einstein GPT , Python-based ML models, and cloud AI services (Azure / AWS). Solid understanding of LLMs, transformers, RAG, and vector databases . Hands-on expertise with Apex, LWC, Aura, Salesforce APIs , and automation frameworks. Strong analytical, problem-solving, and cross-functional collaboration skills. Salesforce Certifications : AI Associate, Admin, Platform Developer. Knowledge of MLOps tools (SageMaker, Azure ML, GCP AI Platform). Experience with DevOps tools : Copado, Azure DevOps, GitLab, Jenkins . Experience building conversational AI or multi-agent workflow pipelines
Job Title : AI / ML Builder – Salesforce + Generative AI
Experience : 5–7 Years
Location : Remote
Work Timings : 11 : 00 AM – 9 : 00 PM IST
Employment Type : Full-Time
Job Summary :
We are seeking a highly skilled AI / ML Builder with strong expertise in Salesforce and Generative AI technologies. The ideal candidate will design and implement intelligent, secure, and scalable AI-driven solutions using Einstein, Einstein GPT, LLMs, vector databases, and external AI / ML services . This role involves building advanced workflows, personalized recommendations, intelligent automation, RAG pipelines, and custom GenAI-powered bots within the Salesforce ecosystem.
Key Responsibilities :
Salesforce Development & Customization
- Design, develop, test, and deploy scalable Salesforce solutions.
- Extend Salesforce functionality using Apex (triggers / classes), LWC, Aura, Visualforce, and Salesforce APIs .
- Build high-performance and secure applications with robust documentation.
AI / ML Development & Integration
Architecture, DevOps & Performance
Collaboration & Innovation
Must-Have Skills :
Good to Have :
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Developer • gurugram, India
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