Ai/machine Learning Engineer Job at Synergy ECP (Annapolis Junction)

Senior AI/Machine Learning Engineer, Minecraft

The Senior AI/Machine Learning Engineer at Mojang Studios will support the strat...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience
OR equivalent experience
Experience in AI/ML principles, frameworks, and tools (e.g., PyTorch, Generative AI, RAG)
Experience with big data technologies like Spark (PySpark) and Databricks
Skilled in Python (C#/TypeScript a plus)
Familiar with modern dev practices (Agile, GitHub, Azure DevOps)
Familiar with designing, deploying, and monitoring cloud infrastructure for AI systems
Familiar with multiple data modalities and ML domains: computer vision, audio, predictive modeling, NLP, time series forecasting, graph networks, deep learning, and reinforcement learning

Job Responsibility

Design, build, and productionize AI/GenAI services and platform components for internal and player‑facing experiences across Minecraft and other titles
Create reusable AI building blocks and reference integrations to accelerate teams and drive studio‑wide AI enablement
Own cloud infrastructure & MLOps: data pipelines, training/evaluation, deployment, monitoring, and operational support
Improve reliability, performance, and cost with guardrails, fallback paths, SLOs, and actionable runbooks
Engineer for security, privacy, and compliance through secure data access patterns and threat modeling
Embed responsible AI principles (fairness, transparency, player safety) into system design and operations
Collaborate cross‑discipline to solve product problems and deliver measurable business/player impact
participate in design/code reviews and pair programming
Document and communicate: share learnings to upskill the studio and present findings/opportunities to leadership
Embody our Culture & Values

Fulltime

Software Research Engineer

AMD is looking for a senior software engineer to join our growing team. As a key...

Location

United States , Bellevue

Salary:

172000.00 - 258000.00 USD / Year

AMD

Expiration Date

Until further notice

Requirements

Expert knowledge and hands-on experience in Python, C, C++
Solid understanding of AI/machine learning algorithms and technology
Solid understanding of Software Engineering principles, Data structure, algorithms, Operating Systems concepts and multithread programming
Excellent design and code development skills, familiarity with Linux and modern software and AI tools and techniques for development
Good analytical and problem-solving skills
Master’s degree in Computer/Software Engineering, Computer Science, or related technical discipline

Job Responsibility

Develop and drive execution of comprehensive hardware/software/modeling co-design for sophisticated new technology projects
Contribute to a high-functioning research and advanced development team
Collaborate closely with multiple teams to deliver key research innovations and the technology de-risk to support them
Help contribute to the design and implementation of future architecture for a highly scalable, durable, and innovative system
Work closely with engineering teams drive research results into products

Fulltime

AI Product Manager for Trade & Working Capital Solutions

Shape your career with Citi in Dublin. By joining Citi, you will become part of ...

Location

Ireland , Dublin

Salary:

85600.00 - 128400.00 EUR / Year

Citi

Expiration Date

Until further notice

Requirements

Relevant years of experience in product management, with at least 3+ years focused on AI/Machine Learning products
Proven experience working at a VP level or equivalent in a large, complex organization, preferably in financial services
Demonstrated success in defining, launching, and scaling AI products
Strong understanding of the financial services industry preferably Trade & Working Capital products
Solid grasp of AI/ML concepts, algorithms, platforms, and their practical applications
Understanding of data governance, data pipelines, and MLOps principles
Exceptional communication, presentation, and interpersonal skills, with the ability to articulate complex technical concepts to non-technical stakeholders and senior leadership
Strong collaboration and leadership capabilities with the ability to work across cross-functional teams to drive towards shared goals
Strategic thinker with a strong analytical and problem-solving mindset

Job Responsibility

Contribute to and execute a compelling vision, strategy, and roadmap for the AI product(s), aligning with overall business objectives and technology strategies
Identify new opportunities to leverage AI or to expand the AI product, conducting market research, competitive analysis, customer needs assessments, and understanding business need
Lead the end-to-end product lifecycle for AI product(s), from ideation and requirements gathering to development, testing, launch, and post-launch optimization
Work closely with engineering, data science, design, and business teams to ensure successful product delivery
Translate complex business problems and user needs into clear, concise, and actionable product requirements and user stories for AI models and platforms
Prioritize features based on business value, technical feasibility, and strategic impact
Collaborate effectively with a diverse set of internal stakeholders, including business unit heads, technology teams, risk, compliance, and legal, to ensure alignment and secure buy-in for AI product initiatives
Possess an understanding of AI/ML techniques (e.g., natural language processing, computer vision, prompt engineering, contextual engineering, predictive analytics, reinforcement learning), their applications, and limitations
Collaborate with technical teams on model selection, data requirements, and solution design
Define key performance indicators (KPIs) and metrics for AI products, monitor performance post-launch and iterate based on data-driven insights

What we offer

Business casual workplace with a hybrid working model (up to 2 days working at home per week)
Competitive base salary (which is annually reviewed)
Additional benefits that support you (and your family) to be well, live well and save well

Fulltime

Senior Python Application Developer

We are seeking an exceptionally skilled and driven Lead Python Application Devel...

Location

India , Pune; Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

8+ years of progressive experience in application development and systems architecture, with a laser focus on Python-centric solutions
Demonstrable expertise in end-to-end software development lifecycle (SDLC) leadership, from strategic planning and solution architecture to deployment and post-production optimization
Proven capability to lead and inspire cross-functional engineering teams, foster a culture of technical excellence, and enforce rigorous code quality standards through comprehensive code reviews and design critiques
Act as a Subject Matter Expert (SME) in advanced Python paradigms, including asynchronous programming (asyncio), concurrency, and parallel processing, alongside profound knowledge of modern frameworks such as FastAPI, Django REST Framework, and Flask
Mastery of enterprise-grade software architecture patterns, including Microservices, Event-Driven Architectures (Kafka, RabbitMQ), Domain-Driven Design (DDD), and GraphQL
Deep understanding of Object-Oriented Programming (OOP) and Functional Programming principles, applying them to construct highly modular, extensible, and maintainable codebases
Expert-level proficiency in Python 3.x, with extensive experience in developing high-throughput, low-latency, and fault-tolerant applications leveraging its comprehensive standard library and vibrant third-party ecosystem
Comprehensive hands-on experience with diverse database technologies, including advanced SQL optimization for relational databases (e.g., PostgreSQL, Oracle, SQL Server) and schema design for NoSQL solutions (e.g., MongoDB, Cassandra, Elasticsearch, Redis)
Architectural and implementation expertise in designing, securing (OAuth2, JWT), and optimizing RESTful and gRPC APIs, focusing on idempotency, rate limiting, and robust error handling
Mandatory hands-on experience with enterprise CI/CD pipelines (e.g., Jenkins, GitLab CI, GitHub Actions, Azure DevOps) to implement fully automated testing, build, and deployment strategies (GitOps principles)

Job Responsibility

Architect, develop, and deliver mission-critical enterprise applications within a high-performance Python ecosystem
Shape our technical roadmap
Mentor engineering teams
Ensure the robust, secure, and efficient execution of strategic initiatives

Fulltime

Data Science & AI Engineer

・Develop and execute data and AI-driven strategies to drive business transformat...

Location

Japan , 東京23区

Salary:

8000000.00 - 13000000.00 JPY / Year

Randstad

Expiration Date

April 05, 2027

Requirements

5+ years of hands-on experience, including data analysis and machine learning model development using Python and SQL
Proven ability to define business problems and drive end-to-end solutions leveraging data
Experience in designing data integration across disparate systems (including global systems) and building overall data architecture
Knowledge of the latest AI/machine learning algorithms and cloud platforms (AWS, GCP, Snowflake), along with stakeholder management and project management experience

Job Responsibility

Develop and execute data and AI-driven strategies to drive business transformation across the entire value chain (e.g., automation, forecasting, optimization)
Build and operate data platforms in collaboration with infrastructure teams, while establishing and managing internal data environments and governance frameworks
Lead Data/AI projects by gathering requirements from various departments and collaborating with both internal stakeholders and global teams
Manage small teams or act as a project leader, fostering a data-driven culture across the organization

What we offer

健康保険
厚生年金保険
雇用保険
土曜日
日曜日
祝日
賞与

Fulltime

AI/ML Engineer

Noora Health India Private Limited is a key partner in Noora Health’s mission is...

Location

India , Bengaluru

Salary:

2500000.00 - 3500000.00 INR / Year

Helpcare AI

Expiration Date

Until further notice

Requirements

4+ years of experience in AI/Machine Learning
Bachelor’s or Master’s in Computer Science, AI, Machine Learning, or related field, or equivalent demonstrated experience through projects
Empirical approach to problem-solving
Proficient in Python and solid machine learning fundamentals
Built and shipped at least one deep learning project (computer vision, NLP, or RL) from dataset curation through model/pipeline building, evaluation, deployment and continuous improvements through iterations
Experience with cloud platforms (GCP, AWS, or Azure) and databases (SQL, NoSQL)
Clear communicator who balances theoretical knowledge with practical constraints
You are a builder at heart, obsess about the user problem and solutions you work on, and are innately curious to learn more and get better at what you do

Job Responsibility

Build AI systems end-to-end: curate data, preprocess, prototype, deploy, and monitor performance in production
Define success metrics for each model or pipeline and iterate to improve accuracy, relevance, and efficiency
Integrate AI features into existing product infrastructure with attention to performance and scalability
Provide guidance on best practices and encourage the adoption of cutting-edge AI/ML techniques
Document research findings and share knowledge across teams
Collaborate with engineers, product managers, designers, and clinical experts to identify where AI can improve user experience and care delivery

Fulltime

Data Scientist II

At Seismic, we believe that AI, particularly Generative AI, will empower and tra...

Location

United States; Canada , Remote; Toronto

Salary:

78600.00 - 135600.00 USD / Year

Seismic

Expiration Date

Until further notice

Requirements

Bachelor’s, Master’s, or higher degree in Computer Science, Engineering, or related fields
2–4 years of industry experience in data science, machine learning, or applied AI (or 1–2 years with an advanced degree), with experience contributing to production systems or product features
Strong knowledge of Python is a must
Ideally comfortable with LangChain, pandas and other GenAI related python libraries
Strong hands-on skills in AI & ML service development, end-to-end product engineering, and data analytics
Experience with GenAI and cloud technologies
Ability to translate business and customer problems into technical solutions, and to iterate based on user feedback and data
Exceptional communication skills, with the ability to collaborate with cross-functional teams
Strong problem-solving and decision-making abilities, with a strategic mindset and a passion for driving product vision and business outcomes through technology
Experience thriving in dynamic, fast-paced environments, preferably within SaaS or technology-driven companies focused on customer and product innovation

Job Responsibility

Contribute to the development of AI-powered product features, from prototyping and experimentation through production delivery, deployment and iteration
Build and improve AI/machine learning, especially LLM-based systems (e.g., copilots, conversational workflows, or agent-style experiences) using established frameworks and internal platforms
Work with product and design teams to understand user needs and translate them into practical AI-driven solutions
Partner with engineers, designers, and other data scientists to build, test, and refine AI features, balancing model performance, system reliability, and user experience
Help define and analyze metrics to evaluate model performance, product usage, and customer impact, and use data to guide improvements

Fulltime

Sr. Power Hardware Engineer

Microsoft Silicon, Cloud Hardware, and Infrastructure Engineering (SCHIE) is the...

Location

Taiwan , Taipei

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 5+ years technical engineering experience
OR Master’s Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 3+ years technical engineering experience
OR equivalent experience
3 - 5 years of working experience in datacenter and xPU power delivery design
Experience designing and optimizing high‑efficiency DC‑DC power converters for server or data‑center applications
Proven track record of designing multi-phase buck/buck-boost regulators, digital PWM controllers, bus converters, LDOs, PMICs, charge pumps, ADCs & DACs, etc.
Experience with Data Center 48V power conversion systems
Good knowledge of control theory, closed loop compensation, stability analysis, phase margin, etc.
Strong knowledge of high frequency magnetics design for power electronics
Experience designing printed circuit boards using schematic captures and layout tools such as Cadence

Job Responsibility

Support the architect and design of state-of-the-art xPU power conversion/delivery systems serving a broad range of applications such as AI/machine learning, Data Center general purpose computing, and storage
Participate in Power delivery solution space analysis to drive team insights and architecture forward into most optimal end to end power system implementation
Collaborate with suppliers, industry partners, project managers managers, and cross-functional engineering teams to define power system requirements, specifications, and solutions
Perform simulations, modeling, and validation of power conversion/delivery systems using tools such as SIMPLIS and SPICE
Support project execution from concept through production, including technical documentation and troubleshooting
Support creation of product specifications
Support testing/test planning of all solutions in all stages of development

Fulltime

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