Senior Manager, Applied AI/ML Job at Universal Orlando Resort (Orlando)

Applied Scientist / Senior Applied Scientist

Do you want to help build innovative tools that empower AI Agents to achieve the...

Location

Ireland , Dublin

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND proven years of experience (e.g., statistics, predictive analytics, research)
Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND years related experience (e.g., statistics, predictive analytics, research)
Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND demonstrated years of related experience (e.g., statistics, predictive analytics, research)
equivalent experience
Proven years of experience developing and deploying AI/ML products or systems at multiple points in the product cycle from ideation to shipping
Proven years of experience with transformer-based models (e.g., GPT, Llama)
Coding and hands-on experience working with foundation models
Ability to apply research, preferring the large-scale application of new ideas over theory and prototypes
Demonstrated collaboration and communication skills, both within-team and cross-team, and experience working through problems in ambiguous environments adapting to new research challenges as technology develops
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role

Job Responsibility

Defining, leading, and helping to conduct research projects that simultaneously advance the state-of-the-art and directly benefit Microsoft’s core productivity products
Collaborating and coordinating with people in a range of roles, including researchers, engineers, product managers, designers, and other key product stakeholders
Serving as a bridge between research and product
Teaching, guiding, and tutoring colleagues without research backgrounds in state-of-the-art techniques and research best practices
Many of the things you will try should lead to unexpected outcomes
You must be comfortable learning from experience, developing new hypotheses, and iterating
Sharing your research with others via a range of means, including publication, to enable others to build on your work and to contribute to the understanding of our products as cutting-edge and science driven
Effectively communicating with product leaders (and often MSR researchers) throughout the planning and execution of applied research projects, which often involves learning and teaching complex concepts

Fulltime

Senior AI/ML Engineer - Vice President

Location

India , Chennai; Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Strong expertise with 10+ years in microservices, RESTful APIs, and distributed architectures
Experience in the following AI/ML technologies
Development: Python, FastAPI, Java, Spring AI, Async Programming
Foundational Models: Gemini, OpenAI, Claude, Llama, Local Models
Machine Learning: PyTorch, TensorFlow, Fine-tuning
AI Frameworks: Google's ADK, LangChain, LlamaIndex, Hugging Face
Orchestration: LangGraph, Multi-Agent Systems
Retrieval Augmented Generation: PostgreSQL, Vector DBs, Advanced Retrieval
Deployment: Docker, Production APIs, Monitoring
Applied Methodology: Prompt Engineering, Workflow Design, GenAI Optimization

Fulltime

Application Development Technical Lead Analyst (Senior Ai/Ml Developer)

The Applications Development Technology Lead Analyst is a senior level position ...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

6-10 years of relevant experience in Apps Development or systems analysis role
Extensive experience system analysis and in programming of software applications
Experience in managing and implementing successful projects
Subject Matter Expert (SME) in at least one area of Applications Development
Ability to adjust priorities quickly as circumstances dictate
Demonstrated leadership and project management skills
Consistently demonstrates clear and concise written and verbal communication
Bachelor's degree/University degree or equivalent experience

Job Responsibility

Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency

Fulltime

Senior Manager - Data Sciences & Artificial Intelligence

Transformative Digital Capabilities (TDC) drives Process Development (PD) and Op...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

People leadership and line management: coaching, performance management, hiring input, workload prioritization, team health, and talent development
Technical leadership and cross-functional collaboration: guiding data scientists, AI engineers, ontology specialists, product owners, business partners, and stakeholders through delivery decisions, dependencies, and tradeoffs
Product ownership and client success: defining product vision, roadmap, backlog, prioritization, release planning, stakeholder expectations, feedback loops, adoption strategy, and measurable client outcomes
Strategic problem framing: converting ambiguous business, scientific/engineering, or operational needs into actionable product, data, and AI use cases
Ontology and knowledge graph implementation: defining and implementing controlled vocabularies, taxonomies, semantic models, entity relationships, graph data models, entity resolution approaches, and semantic query patterns
Data science and data engineering fluency: applying core principles of machine learning, in silico modeling, data modeling, data quality, metadata, data lineage, and data pipelines to define the solution to complex problems
AI engineering and application delivery: building, integrating, evaluating, and operationalizing AI/ML capabilities, including retrieval-augmented generation, context engineering, agents/workflows, evaluations, guardrails, and human-centric designs
Scientific or enterprise domain translation: bridging subject-matter experts, business stakeholders, and technical teams to ensure the product solves real problems in context and with extreme agility
Learning agility and hands-on technical credibility: demonstrating leading-edge understanding and command of AI, semantic technologies, and product practices while retaining enough depth to prototype, review designs, challenge assumptions, and unblock teams
Pragmatic prioritization and tradeoff management: balancing client needs, technical debt, delivery capacity, risk, speed, and long-term product scalability

Job Responsibility

Accountable for shaping a high-performing local team while also driving the delivery of high-impact digital capabilities for Process Development
Partner closely with an established team operating at the cutting edge of Data/Twins, AI, and Product Management, bringing the leadership judgment, technical credibility, and product mindset needed to translate complex scientific and business needs into scalable solutions
Help build a new footprint at AIN from the ground up and strengthen an industry leading capability with a track record in the digital transformation space at the intersection of science/engineering, data, modeling, and artificial intelligence

Fulltime

Senior AI/ML Engineer (Healthcare experience)

Location

United States

Salary:

Not provided

Binariks

Expiration Date

Until further notice

Requirements

8+ years of experience designing and implementing highly secure, scalable, and fault-tolerant distributed systems
Proficiency in Python with a deep understanding of async programming, streaming, and related concepts
Experience with AI driven development using GitHub Copilot is required
Hands-on experience in developing and deploying AI/ML solutions
Strong expertise in programming languages such as Python or Java
Experience working with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes)
Familiarity with life science or healthcare domain
Excellent communication, problem-solving, and collaboration skills

Job Responsibility

Design, develop, and deploy scalable AI systems to securely manage and process highly sensitive healthcare data
Stay current with emerging technologies, industry trends, and regulatory requirements in the life sciences and AI fields
Fine-tune large language models (LLMs) and implement natural language processing (NLP) solutions for complex language comprehension tasks
Collaborate with cross-functional teams to translate business requirements into efficient and effective technical solutions
Apply advanced AI/ML algorithms and techniques to solve complex challenges in life science or healthcare
Ensure reliability, scalability, and fault tolerance of AI systems in production environments
Stay updated on the latest AI/ML research and advancements in life science and healthcare technology to drive innovation within the company
Take full ownership and accountability for project deliverables in a fast-paced startup environment
Quickly learn and adapt to new tools and technologies as needed
Foster a culture of innovation, collaboration, and continuous improvement within the team

What we offer

18 days of paid annual leave
10 sick leaves
Additional days off for special occasions
Medical Care
Health check-up
Play Room
IT Cluster membership
Business Trip
Tech Talks
Training & Conferences

Digital Software Engineer Senior Manager - Vice President

The Digital S/W Engineer Sr Mgr accomplishes results through the management of p...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

11-17 years of relevant experience in an Apps Development role or senior level experience in an Enterprise Architecture role with subject matter expertise in one or more areas with at least 3+ years of deep specialization in AI/ML, NLP, or Generative AI development
Proven experience in successfully building, leading, and delivering complex technology projects from conception through to deployment and ongoing support
Proven experience in leading high performance teams spread across multiple locations
Effectively coach and give feedback to direct reports to help develop talent and support career development
2+ years of experience building and operating production-grade AI systems such as digital assistants, recommendation engines, or similar intelligent platforms
2+ years of deep, applied experience with LLM technologies (GPT-4, Claude, Gemini, or equivalent), including prompt engineering, fine-tuning, and cost optimization in production environments
Hands-on expertise in implementing Retrieval-Augmented Generation (RAG) pipelines and working with vector databases for knowledge-grounded AI applications
Demonstrable experience in designing and deploying agentic AI workflows and multi-agent systems using modern frameworks
Proficiency in NLP model development using industry-standard libraries and ML frameworks
Expert-level Python development skills with strong command of RESTful APIs, microservices architecture, and cloud platforms

Job Responsibility

Accountable for executing and driving enterprise grade application design and development efforts to completion, serving as a development lead
Proficient at operating with considerable autonomy and significantly influence the way an application is designed and developed by providing subject specific expertise and an advanced level of understanding of application programming principles
Participate in design discussions as a Development Lead and play the part of a key decision maker in driving design decisions
Partner with industry vendors that provide technology or user experience design components that support our Digital architecture and work with vendors on our implementation plans and roadmaps identifying partnership opportunities to increase our development velocity and our learnings
Directly impact the business by influencing strategic functional decisions through advice, counsel or provided services
This will require persuading and influencing others through strong and comprehensive communication and diplomacy skills
Communicate progress, anticipate bottlenecks, provide escalation management, identify, assess, track and mitigate issues/risks at multiple levels
Regularly review metrics and proactively seek out new and improved mechanisms for visibility ensuring your program stays aligned with organization objectives
Share knowledge with the team in various forums (brown bags, engineering forums etc.) and demonstrate a higher level of knowledge through industry certifications
Integrate LLMs for conversational understanding and response generation

Fulltime

Senior Applied AI Engineer

We are seeking a highly experienced and technically proficient Sr Applied AI Eng...

Location

Canada , Mississauga

Salary:

145100.00 - 217700.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

10+ years of experience in software engineering, with at least 5+ years specializing in Applied AI/ML engineering or related roles
Significant proven data science / AI engineering experience, with multiple years leading tech implementations in financial services or enterprise environments
Demonstrated success building AI applications in investment banking, asset management, or capital markets domains
Deep expertise in ML, NLP, LLMs, retrieval-augmented generation (RAG), embeddings, and modern MLOps practices
Strong experience working with both structured financial datasets and unstructured data sources (e.g., filings, call transcripts, research)
Familiarity with front-office workflows in ECM, DCM, M&A, and investment research
Experience deploying AI solutions in secure, high-compliance environments (on-premise, hybrid cloud, or private cloud)
Strong communication and stakeholder management skills

Job Responsibility

AI/ML Solution Design & Implementation: Lead the end-to-end design, architecture, and hands-on implementation of advanced AI/ML solutions and platforms supporting Investment Banking workflows in ECM, DCM, and M&A. This includes leveraging existing models and adapting them to specific business needs
Subject Matter Expertise: Act as the primary subject matter expert in Investment Banking products (ECM, DCM, M&A), collaborating closely with business stakeholders to understand their needs and identify high-impact AI opportunities
Technical Leadership & Mentorship: Provide technical leadership and guidance to engineering teams, fostering best practices in AI/ML solution implementation and scalable system design. Mentor less experienced engineers through code reviews, technical discussions, and collaborative problem-solving
Strategic Vision & Innovation: Contribute to the strategic vision for AI in Investment Banking, researching and evaluating new AI technologies, methodologies, and tools to maintain a competitive edge
Data Strategy & Engineering: Work closely with data engineers to define data requirements, ensure data quality, and optimize data pipelines for AI solution integration and deployment
Model Deployment & Monitoring: Oversee the deployment, scaling, monitoring, and ongoing maintenance of AI/ML solutions in production environments, ensuring reliability and performance
Performance Optimization: Identify and implement performance optimizations for AI solutions and underlying infrastructure to ensure efficient resource utilization and rapid inference
Collaboration: Partner with cross-functional teams, including product managers, data scientists, quantitative analysts, and other engineering leads, to deliver integrated solutions
Documentation: Create comprehensive technical documentation, including design specifications, architecture diagrams, and operational guides

Fulltime

Senior Applied Scientist (Bing Places)

Do you have a keen interest in leveraging cutting-edge AI technologies to solve ...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
OR equivalent experience.

Job Responsibility

Develop and deploy solutions leveraging LLMs, SLMs, and RAG models to solve complex data challenges and enhance the Bing Places platform
Stay informed about the latest advancements in AI/ML research, evaluate their applicability, and integrate them into scalable systems
Collaborate across multidisciplinary teams, including engineers, data scientists, and product managers, to translate research insights into actionable solutions
Create robust pipelines for data processing, training, and inferencing to optimize model performance and scalability
Mentor junior team members, foster knowledge sharing, and support recruiting efforts to build a world-class research team
Uphold ethical principles in AI, ensuring solutions are fair, unbiased, and aligned with Microsoft's privacy standards.

Fulltime

Select Country

Senior Manager, Applied AI/ML

Job Description

Job Responsibility

Requirements

Looking for more opportunities?