Senior Machine Learning Engineer focused on Foundational AI (FAI), specifically building GenAI technology with LLMs and supporting development of RL Gyms.
Compensation
The base salary range for this position is listed below... 193,300.00 - 261,500.00 USD annually
Responsibilities
Support the development of RL Gyms
assess their usefulness for frontier model advancement
build techniques to advance the state of the art with LLMs
support foundational model development in an applied research role
leage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in LLMs
Requirements
Bachelor's degree in computer science or equivalent
Nice to have: full software development life cycle
Design, build, and operate Amazon Elastic Compute Cloud (EC2) control-plane services in air-gapped regions for governments, focusing on fleet health and capacity tooling.
Compensation
USA, CO, Denver - 143,700.00 - 194,400.00 USD annually
Responsibilities
Design, build, and operate EC2 control-plane services, fleet health automation, and capacity tooling across air-gapped cloud environments.
Own features end to end: write the design, implement and test the code, deploy it through pipelines to disconnected regions, and operate it in production, including on-call.
Improve monitoring, alarming, and deployment safety for the services you own, and drive the fix when an operational issue reveals a gap.
Work with partner teams and stakeholders across the air-gapped partitions to deliver shared infrastructure.
Take part in design and code reviews, and help new engineers ramp up on the team's systems.
As a Technical Product Manager (Vice President) within the Global Capture and Control Product team, you will be responsible for contributing to the long-term strategy, roadmap, and delivery of Voice Recording, business controls, and applied artificial intelligence products.
Lead the design, development, and deployment of AI and data science solutions within the Finance function, creating prototypes, pilots, and MVPs to drive innovation and value.
Compensation
Competitive salary and annual bonus
Responsibilities
Understand and structure ambiguous business problems
Assess technical feasibility and business value of AI solutions
Design and develop prototypes, proofs of concept, pilots, and MVPs
Develop AI and data science solutions using generative AI, LLMs, AI agents
Integrate technologies, models, APIs, and data sources
Requirements
Bachelor’s degree in statistics, mathematics, computer science, artificial intelligence, machine learning or a related field
Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution.
Locations (2)
Hyderabad, Tel, India
Pune, Maharashtra, India
Responsibilities
Expected to be an SME, collaborate and manage the team to perform.
Responsible for team decisions.
Engage with multiple teams and contribute on key decisions.
Provide solutions to problems for their immediate team and across multiple teams.
Lead the development and deployment of AI models ensuring alignment with business objectives.
Strategic Product Owner role focused on driving annual/quarterly planning for Enterprise-wide AI Tooling and Digital Experience, translating strategic ambition into portfolio priorities and measurable outcomes.
Responsibilities
Drive annual and quarterly planning across Enterprise-wide AI Tooling & Digital Experience, translating strategic ambition into portfolio priorities, resource choices, measurable outcomes, and an integrated execution agenda.
Partner with the leadership team and product directors to shape portfolio direction, clarify priorities, and align roadmaps, investment, capacity, and delivery activity to the most important user and business outcomes.
Maintain an integrated view of portfolio health, opportunities, risks, dependencies, commitments, and resource constraints, anticipating emerging issues and driving timely leadership intervention where required.
Bring structure and independent judgement to prioritisation and investment discussions by framing trade-offs, sequencing choices, dependency impacts, and implications for adoption, risk, value, and delivery capacity.
Own the portfolio performance and reporting framework, connecting roadmap progress and investment to adoption, engagement, value, user sentiment, cost, effectiveness, risks, dependencies, and other relevant outcome measures.
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