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AI Engineer – Scientist
Nightfall AIAI Engineer/Scientist building and scaling machine-learning systems for Nightfall’s data security platform in Bengaluru. Developing models, agentic workflows, and high-throughput Go microservices.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and deploying AI systems, with a strong focus on deep learning models, automation, and real-time inferencing. Proficient in Python and Go, with hands-on experience in MLOps and cloud platforms like AWS and GCP.
Highest-signal resume keywords
Deep Learning Model DevelopmentPython ProgrammingGo MicroservicesMLOps ImplementationNatural Language Processing
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Artificial IntelligenceMachine LearningData ScienceData StructuresAlgorithmsAgentic WorkflowsModel Fine-TuningStreaming InfrastructureDistributed CachingComplex Software Engineering
Soft Skills
CollaborationOperational Excellence
Tools & Technologies
PyTorchAWSGCPKafkaRedisPostgres
Certifications & Qualifications
Graduate Degree in Computer ScienceGraduate Degree in Engineering
Industry Keywords
AI SystemsModel AccuracyAutomated TrainingDeploymentOn-Call Rotation
Tech Stack
Tools & technologiesAWSGoGoogle Cloud PlatformJavaKafkaMicroservicesPostgresPythonPyTorchRedis
About the role
Key responsibilities & impact- Build and ship the AI systems that power Nightfall’s security products
- Analyze data and experiment with natural language and other model architectures
- Fine-tune models and benchmark and monitor model accuracy
- Build automation for automated training and deployment
- Implement real-time inferencing and design agentic workflows
- Build Go microservices that ingest and process data at scale using streaming infrastructure, distributed caching, and highly concurrent execution
- Collaborate across engineering and product to turn ideas into live AI features
- Participate in the team’s on-call rotation and help drive operational excellence
Requirements
What you’ll need- 5+ years of industry experience
- Graduate degree in Computer Science or Engineering with rigorous coursework in Artificial Intelligence, Machine Learning, Data Science, or a related field
- Fluency in Python and Go, or C++ or Java
- Solid understanding of data structures and algorithms
- Hands-on experience building deep learning models and taking them to production at large scale
- Complex software engineering experience delivering end-to-end AI projects
- Hands-on experience building agentic workflows
- Experience with PyTorch or other frameworks for NLP or other domains, including fine-tuning LLMs or building agentic workflows around them
- Familiarity with AWS and GCP
- Experience with Kafka, Redis, Postgres, or similar systems
- Hands-on experience with MLOps for training, inferencing, evaluation, monitoring, and deployment
- Hackathon wins, research papers, or open-source contributions are bonus points
Benefits
Comp & perks- Hybrid schedule (3 days in-office)
- Work with a tight-knit team of AI/ML builders who ship fast and mentor deeply
- Hands-on experience with cutting-edge AI systems at scale
- Immediate impact in real-world security applications
- Bonus (for applicable roles)
- Benefits & perks
- Stock options