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Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformPythonPyTorchTensorflow
About the role
Key responsibilities & impact- Architect, train, and deploy generative AI models, including large language models (LLMs) and transformer-based systems.
- Develop robust predictive and optimization models using structured and unstructured data sources.
- Implement and deploy machine learning models using AWS SageMaker for scalable and efficient performance in a cloud environment.
- Partner with cross-functional teams to translate business requirements into scalable AI solutions.
- Drive model lifecycle management from research and experimentation through deployment and monitoring.
- Maintain high standards for model governance, explainability, performance, and ethical AI.
- Stay at the forefront of GenAI advancements and proactively evaluate new tools, methods, and frameworks.
Requirements
What you’ll need- 4–6 years of hands-on experience in Data Science or Machine Learning roles.
- Expertise in GenAI, LLMs, NLP, and deep learning architectures.
- Strong foundation in Generative AI, with experience in LLM fine-tuning, embeddings, or workflow orchestration.
- Experience with GenAI frameworks and libraries (e.g., LangChain, Hugging Face Transformers, PyTorch, TensorFlow).
- Strong command of Python, ML frameworks (TensorFlow, PyTorch).
- Proven experience building and deploying models into production environments.
- Exceptional analytical thinking, storytelling, and stakeholder communication skills.
- Degree (Bachelor's / Master’s / PhD preferred) in Computer Science, Data Science, AI, Statistics, or related field.
- Additional Skills : Experience with A/B testing, econometrics, or other statistical experimentation methods.
- Familiarity with other cloud computing platforms (e.g., Azure, GCP).
- Experience working in cross-functional teams and client-facing roles.
Benefits
Comp & perks- Impactful Technical Work: Be at the forefront of AI innovation, designing and implementing cutting-edge technical solutions for leading companies and making a tangible impact on their businesses.
- Growth Opportunities: Thrive in a company and innovative team committed to growth, providing a platform for your technical and professional development.
- Collaborative Culture: Work alongside a team of world-class experts in data science, AI, and technology, fostering an environment of learning, sharing, and mutual support on complex technical challenges.
- Bold Vision: Join a company that is brave, goes the extra mile to innovate, and delivers bold visions for the future of AI.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
generative AIlarge language modelstransformer-based systemspredictive modelsoptimization modelsmachine learningLLM fine-tuningembeddingsA/B testingstatistical experimentation
Soft Skills
analytical thinkingstorytellingstakeholder communication
Certifications
Bachelor's degreeMaster's degreePhD