Principal Open Source AI/ML Solutions Engineer Job at AMD (Bangalore)

Principal AI/ML & Innovation Engineer

We are seeking Principal AI/ML & Innovation Engineer who will be leading initiat...

Location

Puerto Rico , Aguadilla

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's or master’s degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline
Typically, 10-15 years’ experience
Solid understanding of fundamental AI and machine learning concepts, including supervised and unsupervised learning, deep learning, reinforcement learning, natural language processing, computer vision, and statistical modeling
Proficient in implementing and deploying various machine learning algorithms, such as decision trees, random forests, support vector machines, and neural networks
Knowledge of popular machine learning frameworks and libraries like TensorFlow, PyTorch, or sci-kit
Strong understanding of GitHub CoPilot, Cursor, N8N, vibe coding, Windsurf, and similar technologies
Experience in Cloud Infrastructure (AWS, Azure, etc)
Knowledge of Open Source, Linux, etc
Understanding of Devops, SRE
Expertise in deep learning techniques, architectures, and frameworks (e.g., convolutional neural networks (CNN), recurrent neural networks (RNN), generative adversarial networks (GAN), etc.)

Job Responsibility

Designing, developing, and deploying advanced machine learning models and algorithms
Leading research initiatives to explore novel approaches and technologies
Designing the architecture of AI systems and ensuring scalability, performance, and reliability
Collaborating with other teams, such as data scientists, software engineers, and product managers
Providing technical leadership and mentorship to junior engineers
Overseeing and guiding multiple design review sessions across different projects
Partnering with the engineering manager and team lead to establish long-term design and implementation strategies
Leading efforts to incorporate feedback loops and continuous improvement processes
Leading meetings, ensuring efficient progress tracking, issue resolution, and team coordination
Creating and delivering high-level presentations and reports to executive stakeholders

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Principal Software Engineer - Azure Core

We are seeking experienced engineers to help build cloud‑native, open‑source AI ...

Location

United States , Multiple Locations

Salary:

163000.00 - 296400.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, or Python
OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check
Master's Degree in Computer Science or related technical field AND 12+ years technical engineering experience
OR Bachelor's Degree in Computer Science or related technical field AND 15+ years technical engineering experience
OR equivalent experience
Hands‑on experience building or operating AI/ML training, fine-tuning, and inference platforms in cloud‑native environments
Proficiency with Go and/or Python for building platform components, Kubernetes operators/controllers, and integrations in production environments
Demonstrated experience contributing to or maintaining open‑source software, especially in the Kubernetes, AI/ML, or cloud‑native ecosystem

Job Responsibility

Design, implement, and maintain Kubernetes operators and controllers for AI/ML workloads
Partner with product managers, business stakeholders, and users to understand user pain points deeply and create innovative solutions that delight your customers in an agile development environment
Contribute to applicable upstream open-source projects
Write technical design documents and participate in architecture reviews
Mentor team members and external contributors through code reviews
Debug and optimize distributed AI systems running at scale
Strive for excellence in everything you do: culture, collaboration, process, tools, design, engineering practices, customer experience, performance, security etc.

Fulltime

Principal Applied AI Engineer

Security represents the most critical priorities for our customers in a world aw...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Data Science or related technical field
Minimum 9+ Years of total Experience
5+ years technical engineering experience with coding in languages including C#, Java AND Python
Should have 5+ years in Data Science experience
3 years of experience with LLMs and open-source GenAI frameworks, such as LangChain, LlamaIndex, Haystack, or equivalents (e.g., Transformers, AutoGen, DSPy), including agent-based orchestration, prompt engineering, retrieval-augmented generation (RAG), and fine-tuning and evaluation
Proficiency in writing production-quality software code in one or more modern programming languages (Python, C#)
3+ years experience developing software systems end-to-end, from design to implementation
2+ years experience in shipping at least 2 large scale ML/AI-based services or applications on cloud platforms (Azure, AWS, GCP, etc.)

Job Responsibility

Design, develop, and deploy end-to-end AI/ML systems, including data ingestion, model training, evaluation, and integration into production environments
Build and optimize applications leveraging LLMs and open-source GenAI frameworks such as LangChain, LlamaIndex, Haystack, Transformers, AutoGen, and DSPy
Implement advanced GenAI techniques including agent-based orchestration, prompt engineering, retrieval-augmented generation (RAG), and model fine-tuning
Write production-grade software in Python and C# or Java, ensuring maintainability, scalability, and performance
Collaborate with cross-functional teams to translate business requirements into technical solutions
Ship and maintain large-scale AI applications, with a focus on performance monitoring and continuous improvement
Conduct rigorous evaluation of AI models using appropriate metrics and benchmarks
Optimize models for latency, throughput, and accuracy in real-world scenarios
Work closely with data scientists, product managers, and other engineers to drive AI initiatives
Stay current with the latest advancements in GenAI, LLMs, and AI frameworks

Fulltime

Principal Applied AI Engineer

Security represents the most critical priorities for our customers in a world aw...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Data Science or related technical field
Minimum 9+ Years of total Experience
5+ years technical engineering experience with coding in languages including C#, Java AND Python
Should have 5+ years in Data Science experience
3 years of experience with LLMs and open-source GenAI frameworks, such as LangChain, LlamaIndex, Haystack, or equivalents (e.g., Transformers, AutoGen, DSPy), including agent-based orchestration, prompt engineering, retrieval-augmented generation (RAG), and fine-tuning and evaluation
Proficiency in writing production-quality software code in one or more modern programming languages (Python, C#)
3+ years experience developing software systems end-to-end, from design to implementation
2+ years experience in shipping at least 2 large scale ML/AI-based services or applications on cloud platforms (Azure, AWS, GCP, etc.)

Job Responsibility

Design, develop, and deploy end-to-end AI/ML systems, including data ingestion, model training, evaluation, and integration into production environments
Build and optimize applications leveraging LLMs and open-source GenAI frameworks such as LangChain, LlamaIndex, Haystack, Transformers, AutoGen, and DSPy
Implement advanced GenAI techniques including agent-based orchestration, prompt engineering, retrieval-augmented generation (RAG), and model fine-tuning
Write production-grade software in Python and C# or Java, ensuring maintainability, scalability, and performance
Collaborate with cross-functional teams to translate business requirements into technical solutions
Ship and maintain large-scale AI applications, with a focus on performance monitoring and continuous improvement
Conduct rigorous evaluation of AI models using appropriate metrics and benchmarks
Optimize models for latency, throughput, and accuracy in real-world scenarios
Work closely with data scientists, product managers, and other engineers to drive AI initiatives
Stay current with the latest advancements in GenAI, LLMs, and AI frameworks

Fulltime

Principal Technical Program Manager - Forward Deployed Engineering

The Industry Solutions Engineering (ISE) team is a global engineering organizati...

Location

Netherlands , Amsterdam

Salary:

99800.00 - 166900.00 EUR / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree AND demonstrated years experience in engineering, product/technical program management, data analysis, or product development
Or equivalent experience
Years of experience managing cross-functional and/or cross-team projects
Experience in customer-facing technical roles (e.g., consulting, solutions engineering, field engineering, or similar)
Experience with AI/ML technologies, cloud architecture, or data engineering

Job Responsibility

Embed with strategic customers to lead complex technical programs with high autonomy, aligning business needs with engineering solutions across AI, cloud, and data
Take ownership of the customer journey end-to-end, from problem definition through co-engineering delivery to measurable business outcomes
Apply AI assisted engineering practices as a daily operating mode
Operate fluently in engineering tooling as primary work surfaces for planning, documentation, and technical program leadership
Navigate ambiguity in customer environments with self-direction and high ownership
Champion and cultivate reusable solution patterns, open-source assets, and engineering playbooks that scale impact beyond individual engagements
Partner with multi-disciplinary engineering teams to evaluate, design, and deliver AI-powered cloud solutions side-by-side with customer engineers

Fulltime

Artificial Intelligence Security Specialist EMEA

Citi, the leading global bank, has approximately 200 million customer accounts a...

Location

United Kingdom , London; Belfast

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

5-7+ years for Assistant Vice President (C12 Mid - Senior Level)
8-10+ years for Vice President (C13 Senior - Lead/Staff Level)
10+ years for Senior Vice President (C14 Lead/Staff - Principal Level)
Depth in at least one of AI/ML engineering, offensive security, detection engineering, software engineering, or security research
Hands-on LLM API experience (context management, tool use, evaluation, failure modes) for AI/ML Engineering
Agentic systems design
AI safety at the infrastructure level
Vulnerability research, exploit development, or pen testing with real depth for Cyber Security
Detection engineering for novel attack patterns
Threat modelling (STRIDE, ATT&CK)

Job Responsibility

Depends on team: Offensive Security & Vulnerability Management — AI-assisted pen testing at a scale previously impossible
Automated exploit validation
Bridge the gap from 'AI found a vulnerability' to 'the application team has a PR to fix it'
AI & Emerging Technology Security — Define how the bank deploys AI safely
Security architecture and assurance for new implementations
Building the next generation of AI-powered tools for CISO colleagues
Test new models at the cutting edge of creation and influence
Cyber Security AI Services — Own the AI products CISO depends on in production — security assurance, cyber security operations, governance and controls, vulnerability assessment
Keep them reliable, evolve them fast
Cyber Security Operations — Detection, triage, and response for a world where adversaries use AI to find and exploit vulnerabilities faster than traditional detection can keep up

What we offer

Business casual workplace
Hybrid working model (up to 2 days working at home per week)
Competitive base salary (annually reviewed)
27 days annual leave (plus bank holidays)
Discretional annual performance related bonus
Private Medical Care & Life Insurance
Employee Assistance Program
Pension Plan
Paid Parental Leave
Special discounts for employees, family, and friends

Fulltime

Artificial Intelligence Security Specialist EMEA

Job Overview Why Citi Citi, the leading global bank, has approximately 200 mil...

Location

Poland , Warsaw

Salary:

165020.00 PLN / Year

Citi

Expiration Date

Until further notice

Requirements

AI/ML Engineering — Hands-on LLM API experience (context management, tool use, evaluation, failure modes). Agentic systems design. AI safety at the infrastructure level, not just the prompt level.
Cyber Security — Vulnerability research, exploit development, or pen testing with real depth. Detection engineering for novel attack patterns. Threat modelling (STRIDE, ATT&CK). Security architecture.
Software Engineering — You've built and operated production systems, not just prototypes. Strong Python and/or systems programming. Bonus if you're comfortable reading disassembly or tracing through kernel code.
Research & Communication — Can digest dense technical research and turn it into actionable security recommendations. Published research, conference talks, or open-source contributions.
Mindset - You love to engineer solutions to problems vs purchasing tools, and you see problems as opportunities
At any level: genuinely curious, comfortable with ambiguity, biased toward building, able to work across disciplines.
Assistant Vice President (C12 Mid - Senior Level): 5-7+ years. Own workstreams end-to-end with real autonomy. You'll go deep on problems that most organizations don't even know they have yet.
Vice President (C13 Senior - Lead/Staff Level): 8-10+ years. Define technical approach, make architectural decisions, mentor others. The scope here is wider than most senior IC roles — you're not optimizing an existing system
you're designing ones that don't exist yet.
Senior Vice President (C14 Lead/Staff - Principal Level): 10+ years. Set technical direction for a function and influence the firm's approach to AI security. If you've hit a ceiling elsewhere because the problem space isn't big enough, it's big enough here.

What we offer

Private Medical Care Program
Life Insurance Program
Pension Plan contribution (PPE Program)
Employee Assistance Program
Paid Parental Leave Program (maternity and paternity leave)
Sport Card
Holidays Allowance
Sport and team recreation activities
Special offers and discounts for employees
Access to an array of learning and development resources

Fulltime

Principal Generative AI Scientist

We are hiring a Data Scientist Specialist! Role: Data Scientist Specialist (Prin...

Location

United States , McLean

Salary:

80.00 - 95.73 USD / Hour

Apex Systems

Expiration Date

Until further notice

Requirements

PhD in AI, Data Science, or a closely related field (required)
10+ years of AI/ML experience, including 3+ years in applied Generative AI or LLM-based solutions
Strong experience with AWS cloud-native AI development, including SageMaker, Bedrock, and MLflow on EKS
Deep hands-on expertise with GenAI system design, RAG, agents, prompt engineering, and vector databases
Advanced Python skills with extensive use of Jupyter notebooks
Experience with Transformers, LangChain, or similar GenAI frameworks
Strong understanding of GenAI architectural patterns and best practices
GitHub repository link required demonstrating hands-on technical work

Job Responsibility

Architect and implement AI agents, agentic workflows, and full-scale GenAI applications
Develop, fine-tune, and evaluate LLMs, including Claude, Azure OpenAI models, and open-source alternatives
Design and deploy Retrieval-Augmented Generation (RAG) and Graph RAG solutions using vector databases and knowledge bases
Implement Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication patterns
Build and maintain Jupyter-based workflows using SageMaker, MLflow, Kubeflow, and Kubernetes (EKS)
Collaborate with UI, microservices, product, and data engineering teams to deliver end-to-end GenAI experiences
Integrate GenAI services via API-driven enterprise integration patterns
Establish evaluation frameworks, safety guardrails, bias mitigation, and validation processes for production deployment
Design and own data ingestion pipelines (extracting, chunking, enriching, anonymizing, and embedding data)
Orchestrate multimodal ETL/ELT pipelines and scalable ingestion workflows

What we offer

Medical
dental
vision
life
disability
other insurance plans
ESPP (employee stock purchase program)
401K program
HSA (Health Savings Account on the HDHP plan)
SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions

Fulltime

Select Country

Principal Open Source AI/ML Solutions Engineer

Job Description

Job Responsibility

Requirements

Nice to have

Looking for more opportunities?