Ml - Principal Software Engineer Job at Microsoft Corporation (Hyderabad)

Senior Software Engineer and Principal Software Engineer - Power Point AI Team

The PowerPoint team is embarking on an exciting new chapter - evolving a product...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
8+ years of experience in backend service engineering, including work on high-scale infrastructures
Proficiency in one or more systems programming languages such as C#, C++
1+ years of experience in software engineering, designing and developing systems (and APIs) that deploy and integrate with AI models
2+ years of experience working with rich telemetry, making data driven decisions, and carrying out rapid experimentation
2+ years of experience building software for scale, performance, and reliability
Academic or industry experience with building, finetuning, deploying or building eval-driven systems utilizing the models (any category)

Job Responsibility

Lead design and delivery of complex, scalable AI features ensuring resilience and exceptional user experience
Drive technical strategy and architecture decisions across multiple services, influencing partner teams and aligning with compliance and security requirements
Champion modern engineering practices, including AI-driven approaches, automation, and cloud-native patterns, across the full development lifecycle
Mentor and guide engineers, fostering technical excellence and continuous improvement in security, reliability, and performance
Collaborate cross-org to solve challenging technical problems, streamline processes, and reduce operational costs while improving live-site health
Design and implement scalable backend services optimized for machine learning workflows and large language model integration
Develop and maintain evaluation-driven systems that leverage text and multimodal inputs (e.g., images) to power visual-creation experiences
Build and optimize APIs and infrastructure to support high-performance model inference and experimentation at scale
Collaborate with product, ML, and design teams to integrate models into user-facing features, ensuring seamless functionality and performance
Conduct model evaluations and experiments, analyze results, and iterate on improvements to enhance accuracy and user experience

Fulltime

Principal ML Engineer, ML Platform Engineering

Xometry is seeking a Principal Machine Learning Engineer to join our core machin...

Location

United States , North Bethesda

Salary:

140000.00 - 182000.00 USD / Year

Cherry Ventures

Expiration Date

Until further notice

Requirements

At least 7 years of experience in machine learning engineering, software engineering, data science, or similar technical role
A bachelor’s degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is preferred and may substitute for some years of experience
Demonstrated experience designing and deploying cloud infrastructure (AWS preferred) to support machine learning, and machine learning models, with considerations for scale, reliability and security
Deep understanding of the machine learning lifecycle and related infrastructure needs - feature stores, a/b testing, model registration, drift detection, automated retraining, etc
Strong technical expertise. You will need to either have or demonstrate the ability ability to quickly build technical expertise in the following: Software engineering principles, including parallel and distributed computing, version control, reproducibility, and continuous integration
Machine learning techniques and algorithms, with emphasis on their impact to infrastructure implementation Including large-scale language and vision models (Transformers, GPT, VLMs, LLMs), deep learning (PyTorch, Tensorflow)
Infrastructure as Code (IaC), especially Terraform
REST API design and implementation
Object oriented and functional programming in Python
Multimodal data processing (e.g., combining text, image, and 3D data)

Job Responsibility

Hands-On Technical Leadership: Adopt a 'lead by example' approach by actively coding and troubleshooting, as well as creating documentation and technical diagrams
Teaching & Mentorship: You will serve as a mentor and guide to engineers across the organization, teaching and mentoring them to grow their skills
Code Review: You will do code review and mentor others within the organization regarding best practices in ML Engineering
Operational Excellence: Guarantee the delivery of superior infrastructure and software that not only meets but exceeds customer expectations, while aligning with the strategic business timelines
Collaborative Strategy: Forge strong partnerships with product managers, data scientists, and company leadership to promote a culture of open communication and integrated team dynamics
Guide Innovation: Champion the adoption of cutting-edge technologies, methodologies, and practices to enhance problem-solving efficiency and effectiveness across the AI/ML organization.

What we offer

401(k) match
medical, dental and vision insurance
life and disability insurance
generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave
EAP, other wellbeing resources

Fulltime

Principal Software Engineer

Modern ads platforms run on always-on, real-time data: streaming events, feature...

Location

India , Bangalore

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Electrical/Computer Engineering, or a related field, with 8+ years of related experience
Strong programming skills in language C++, C# or Python (at least one required)
Hands-on experience in one or more: Building and operating streaming data pipelines in production (Flink or Spark Structured Streaming), Distributed systems engineering with strong reliability and operational rigor, Messaging systems such as Kafka/Pulsar
Experience operating services with Kubernetes/containers and production readiness practices (deployments, scaling, rollbacks)
Experience with observability stacks such as OpenTelemetry, Prometheus, Grafana
Ability to debug complex production issues using logs/metrics/traces and performance profiling
Strong communication and collaboration skills, with experience working across engineering, applied science/ML, and product/business stakeholders

Job Responsibility

Design and implement real-time streaming ETL / feature pipelines (e.g., Flink or Spark Structured Streaming) that meet strict freshness and correctness constraints
Build and operate reliable messaging and ingestion with Kafka/Pulsar (partitioning strategy, retries, ordering guarantees, DLQs, backpressure handling)
Own data contracts between producers, pipelines, and consumers: schema evolution, versioning, compatibility, validation, and safe rollout
Implement production-grade backfill/replay workflows
Define and meet SLOs using OpenTelemetry/Prometheus/Grafana for metrics, tracing, dashboards, alerting, and incident response readiness
Integrate pipelines with online stores/caches and ML consumers (feature stores, embedding pipelines, LLM API calls, online/offline consistency patterns)
Partner with applied scientists on feature/embedding definitions, validation, and end-to-end quality measurement
Optimize end-to-end performance and efficiency: CPU/memory/I/O, serialization, caching, network overhead, concurrency, and pipeline compute cost
Contribute to serving/inference integrations where needed (e.g., Triton/ONNX Runtime/TensorRT) including batching and latency/cost tradeoffs
Ship safely with CI/CD, automated testing (unit/integration/data quality), and operational playbooks/runbooks

Fulltime

Principal Software Engineer

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

Location

Netherlands , Amsterdam

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, or related technical discipline AND technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
Experience building or integrating AI/ML or LLM-based solutions, prompt engineering, RAG, fine-tuning
Familiarity with deploying and operating AI systems in production environments
Understanding of model evaluation, data quality, and performance monitoring
Experience using cloud AI platforms (Azure ML, OpenAI, or similar)
OR equivalent experience.

Job Responsibility

Put security first: Build and ship solutions that meet enterprise security standards (threat modeling, secure coding, privacy, and compliance) from design through production
Translate business needs into technical solutions: Partner with stakeholders to define problem statements, success metrics, and architectural approaches that deliver measurable outcomes
Design and lead architecture: Own end-to-end system design for cloud and AI workloads, making sound tradeoffs across reliability, performance, cost, and maintainability
Deliver quickly without sacrificing quality: Use modern engineering practices (CI/CD, automated testing, observability, and progressive delivery) to iterate fast and reduce operational risk
Drive customer success and adoption: Work directly with customer engineering teams to deliver production-ready solutions, unblock delivery, and ensure outcomes are adopted at scale
Build reusable, scalable assets: Create solution accelerators, reference architectures, and code that can be reused across customers and scenarios to maximize impact
Operate effectively in ambiguity: Continuously learn and adapt as technologies and customer priorities evolve
bring clarity, structure, and momentum to complex engagements
Lead and mentor across disciplines: Provide technical direction, coach engineers, and collaborate with product, data, and security partners to deliver as one team
Lead complex delivery end-to-end: Coordinate multiple workstreams, manage dependencies, and raise the bar on reliability and operational excellence for services running in production

What we offer

Health, wellness, and financial future benefits

Fulltime

Principal Engineer Software - Developer Experience, Backend (Chronosphere)

Chronosphere, a Palo Alto Networks company, is the observability platform built ...

Location

United States , New York

Salary:

147000.00 - 237500.00 USD / Year

Palo Alto Networks

Expiration Date

Until further notice

Requirements

Strong experience in one or more backend languages (e.g., Go, Java, Python, Rust)
Experience using AI coding assistants (e.g., Cursor, Claude) as part of day-to-day software development
Experience building and operating highly available systems in production
Experience working with cloud infrastructure (AWS, GCP, Azure)
Experience designing APIs (REST, gRPC, GraphQL) for scale
Experience working effectively with cross functional partners
Experience owning and executing projects from inception to delivery
Experience working with a high degree of autonomy with good judgement on when to push forward and when to ask for help
An effective collaborative working style and willingness to build and maintain a positive and supportive environment
An ability to operate effectively in a remote first environment

Job Responsibility

Directly impact how customers leverage observability for their infrastructure and services architecture
Leverage AI infrastructure like LLMs, ML to build innovative capabilities for our customers
Design experiences and systems for contextualizing large amounts of telemetry data
Help shape the architecture of a rapidly scaling platform
Collaborate with deeply technical teammates and customers
Improve our own system observability (we use our own product heavily)
Improve performance, reliability, and cost efficiency of distributed systems
Mentor engineers and help maintain our engineering standards

What we offer

restricted stock units
bonus

Fulltime

Staff / Principal Software Engineer, Product

TL;DR: We're seeking exceptional senior engineers and technical leaders for our ...

Location

Sweden , Stockholm

Salary:

Not provided

Lovable

Expiration Date

Until further notice

Requirements

10+ years of experience designing, building, and shipping production products, with a track record operating at senior engineering levels
Deep experience across the full stack, or strong backend depth - fluent in modern frontend (React/TypeScript) and/or backend (Golang, Rust) development
Solid understanding of systems design, performance tradeoffs, and scalable architecture for products serving millions of users
Strong product sense and the ability to make well-reasoned technical decisions - knowing when to prioritise speed and when to invest in foundational work
You own systems end-to-end: architecture, implementation, deployment, monitoring, and iteration
You're comfortable navigating ambiguity and driving clarity at an organisational level, not just technically
You're based in Stockholm or ready to relocate — this is an on-site, 5-days-a-week role

Job Responsibility

Build and scale the systems that power Lovable products, ensuring they're fast, reliable, and ready to support millions of users
Implement and maintain features across the stack - frontend, backend, and infrastructure - owning them from architecture through to production
Design, implement, and maintain backend services, APIs, and infrastructure components built for scale
Collaborate closely with ML, design, and product teams to translate capabilities into intuitive, mind-blowing user experiences
Drive the full development lifecycle, from technical planning to production launch and post-release iteration
Contribute to shaping our technical direction, engineering culture, and product strategy

Fulltime

Principal, Software Engineer – GenAI Initiative

Walmart Global Tech is at the forefront of AI innovation, leveraging cutting-edg...

Location

United States , Sunnyvale

Salary:

143000.00 - 286000.00 USD / Year

Walmart

Expiration Date

Until further notice

Requirements

Overall 12+ years of experience in machine learning / software engineering, with 2+ years in Generative AI or LLMs
Strong experience with RAG frameworks, vector search technologies and knowledge grounding techniques
Expertise in Python, ML frameworks (PyTorch, TensorFlow), and libraries like Hugging Face Transformers
Proficiency in distributed computing, cloud platforms (GCP, Azure), and scalable architectures
Familiarity with disaster recovery principles and building resilient, fault-tolerant systems
Experience with multi-modal models (text, image, video) and advanced optimization techniques (e.g., quantization, distillation)
Experience with Generative AI models (e.g., GPT, Gemini) and their fine-tuning
Contributions to open-source projects or publications in Generative AI, RAG, or agentic frameworks
Strong understanding of system design, non-functional requirements, and design patterns
Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 5 years' experience in software engineering or related area

Job Responsibility

Design, fine-tune, and deploy Generative AI models with a focus on RAG frameworks to enhance information retrieval and generation
Develop and optimize LLM-based agents for tasks like knowledge grounding, multi-step reasoning, and decision-making
Integrate external data sources (e.g., vector databases) with LLMs to build dynamic, context-aware systems
Architect scalable, distributed AI systems with a focus on performance, fault tolerance, and disaster recovery
Develop detailed design specifications, including modular, extensible, and functional components
Build MVPs to validate requirements and refine designs iteratively
Partner with product teams to integrate AI into customer-facing applications
Work cross-functionally to design solutions that address both functional and non-functional requirements
Drive technical direction for large-scale AI initiatives and mentor junior engineers
Establish best practices for building and maintaining AI-driven systems

What we offer

Performance-based bonus awards
Medical, vision and dental coverage
401(k), stock purchase and company-paid life insurance
PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting
Short-term and long-term disability
Company discounts
Military Leave Pay
Adoption and surrogacy expense reimbursement
Live Better U education benefit program
Annual or quarterly performance bonuses

Fulltime

Principal Software Engineer

The Windows team is building a Centre of Excellence in Microsoft India, with a b...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.
Master's Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. OR equivalent experience.
6+ years of total experience designing, building and shipping distributed software services for Web applications and cloud services at scale.
Experience building products across the full stack using distributed services with modern tech stacks like React, Redis, Kubernetes, Azure or similar.
Solid design, coding, debugging, teamwork, partnership, and communication skills.
Excellent Technical skills in Driving Design, Architecture with cross product and services dependencies.
Ability to Drive Innovation with customer obsession.
Expertise in ML concepts and algorithms, along with a deep understanding of LLM usage patterns and agentic frameworks, is required.
You must be self-driven, curious to learn, proactive, and result oriented.

Job Responsibility

Lead teams of high-caliber Software Engineers, ensuring project and development excellence and technical leadership.
Influence and align the product vision by collaborating with customers, partners, product management, and engineering teams.
Drive the adoption and practical application of AI across both product features and engineering productivity.
Deliver high quality results with full ownership and take the product to the next level.
Foster a solid culture of engineering excellence, customer focus, collaboration, and diversity and inclusion.
Hire and develop the best.

Fulltime

Select Country

Ml - Principal Software Engineer

Job Description

Job Responsibility

Requirements

Nice to have

Looking for more opportunities?