AI Engineer
2 weeks ago
- Backend .NET Core (C#), Web API, Entity Framework, SQL Server
- Frontend Angular, TypeScript, RxJS
- AI / ML Python, TensorFlow/PyTorch, Scikit-learn, Generative AI, LLMs, and RAG pipelines
- Cloud & DevOps Azure (ML, Functions, DevOps), containerization
- MLOps CI/CD pipelines, model validation & reranking(Nice to have)
- Architecture SOLID principles, clean code, microservices, REST APIs
- The Lead AI Engineer will spearhead the design, development, and deployment of advanced AI solutions. This role combines technical expertise in AI/ML
- with leadership responsibilities, ensuring scalable, high-performing systems that align with business objectives.
- The ideal candidate will mentor team members, set technical direction, and collaborate across departments to deliver innovative AI-driven products.
- 35+ years experience working with .NET Core and Angular in full-stack roles.
- Hands-on experience building and deploying ML/AI solutions, preferably in production.
- Proficiency in Python, TensorFlow, PyTorch, scikit-learn.
- Experience with NLP, Computer Vision, Deep Learning, and Predictive Analytics.
- Familiarity with MLOps, Docker, Cloud Platforms (AWS, Azure, GCP).
- Knowledge of high-performance computing and data engineering.
- Effective communication skills for technical and non-technical stakeholder engagement.
- Familiarity with MLOps frameworks like Kubeflow, Zenflow, Kedro or DVC.
- Experience with model Interpretability tools, bias mitigation, or AI regulatory compliance.
- Experience with microservices, Docker/Kubernetes, and event-driven messaging (Kafka, RabbitMQ).
- Exposure to vertical industries like Logistics, finance, healthcare, or enterprise SaaS.
- Experience with Generative AI, LLMs, and RAG pipelines.
- Knowledge of graph databases and neural network architectures.
#LI-KR3
TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
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