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Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
The AI Engineer role involves prototyping AI solutions on the Now Platform, collaborating with various teams, building demos, and mentoring peers.
Top Skills:
App EngineAWSAzure OpenaiCloud Platforms (AzureFlow DesignerGcp)IntegrationhubJavaScriptNow AssistOpenaiServicenow PlatformVertex
Pharmaceutical
The Senior Power Platform Engineer will implement AI solutions, integrate Microsoft Copilot, and develop low-code applications to enhance business processes and productivity.
Top Skills:
Azure AiAzure Bot ServicesAzure Cognitive ServicesAzure Machine LearningCo Pilot StudioMicrosoft Power PlatformMs SharepointPower AppsPower AutomatePower BIPower Pages
Artificial Intelligence • Information Technology • Machine Learning • Software • Virtual Reality • Analytics
The Senior Staff Engineer will develop AI applications, design technical solutions, integrate systems, and ensure best practices in a dynamic Agile environment.
Top Skills:
.NetApi DesignAWSCloud-Native ApplicationsGenerative AiLlm FrameworksReactVector Databases
We are seeking a highly skilled and experienced Senior AI Engineer to lead the design, development, and deployment of cutting-edge AI/ML solutions across our products and platforms. As a senior member of the team, you will be responsible for solving complex problems using AI technologies, mentoring junior engineers, and collaborating cross-functionally with product, data, and engineering teams to deliver scalable and impactful AI-driven features.
Key Responsibilities:- Design and develop advanced machine learning models and deep learning architectures for real-world problems.
- Lead AI/ML system design, including data pipelines, model training workflows, evaluation strategies, and deployment frameworks.
- Conduct research and experimentation with new algorithms, tools, and technologies to enhance the company’s AI capabilities.
- Collaborate with product managers, data scientists, and software engineers to translate business requirements into AI solutions.
- Mentor and guide junior AI engineers and data scientists, fostering best practices in coding, experimentation, and model deployment.
- Optimize and monitor model performance in production, including addressing issues of bias, drift, and latency.
- Stay current with AI research, tools, and industry trends, and bring innovative ideas into the team.
- Contribute to technical strategy and help define the roadmap for AI initiatives.
- Bachelor's or Master’s degree in Computer Science, Engineering, Mathematics, or a related field (Ph.D. preferred).
- 5+ years of experience in AI/ML engineering with a strong portfolio of production-level projects.
- Deep knowledge of machine learning and deep learning algorithms (e.g., CNNs, RNNs, Transformers, LLMs).
- Proficient in Python and libraries such as TensorFlow, PyTorch, Scikit-learn, and Hugging Face.
- Strong experience with MLOps tools (e.g., MLflow, Kubeflow, Airflow) and cloud platforms (e.g., AWS, GCP, Azure).
- Experience in deploying and maintaining models in production at scale.
- Strong understanding of data structures, algorithms, and software engineering principles.
- Excellent problem-solving skills and communication abilities.
What you need to know about the Delhi Tech Scene
Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.
