Sr. AI/ML Engineer

Job Requirements JD: AI/ML and Sr. AI/ML Engineer

Role Desscription

As the AIML/Sr. AIML Engineer you will drive the design, development, and deployment of advanced AI and machine learning solutions across the enterprise. You’ll collaborate with AI Architects, Cloud Engineers, and CRM Development Teams to deliver scalable ethical and high-impact AI systems Your expertise will span both Generative AI (GenAI) modelssuch as Gemini GPT-4 and similar large language models and traditional NLP/Deep Learning architectures.

Key Responsibilitie

Be a cirtical member of the design, development, and deployment of machine learning and GenAI models in collaboration with AI Architects, Cloud Engineers, and CRM Development Teams.

• Assit in Architecting end-to-end ML pipelines from data preparation and model training to deployment and monitoring — ensuring scalability, efficiency, and compliance.
• Evaluate and fine-tune state-of-the-art models and integrate them into enterprise systems such as Salesforce.
• Guide retraining efforts to maintain model performance, fairness, and ethical standards.
• Mentor junior engineers and provide technical leadership on best practices in ML model development, optimization, and MLOps.
• Collaborate cross-functionally with product owners, data scientists, and business stakeholders to translate business needs into AI solutions.
• Ensure AI governance and ethics by monitoring for bias, ensuring data privacy compliance, and adhering to responsible AI principles.
• Stay ahead of industry trends, tools, and research to continuously innovate and improve AI capabilities within the organization.
• Document architectures, workflows, and model lifecycles for transparency, reproducibility, and audit readiness.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Computer Engineering, or related field (advanced degree preferred).
• Proven experience in Machine Learning Engineering or AI Solution Design, with demonstrated leadership or tech lead responsibilities.
• Hands-on experience with CRM platforms like Salesforce
• Understanding of data privacy, security, and ethical AI practices
• Experience mentoring or training teams in AI/ML concepts and implementation.
• Strong project management or agile delivery experience.

DevOps & Scripting: Proficient in Python, Bash, Docker, and modern CI/CD tools.

Certifications: GCP Professional Cloud Architect credential preferred.

Work Experience 2-5Years