Staff Machine Learning Engineer

The Role:

We are seeking a highly reputed company and strategic Staff Machine Learning Engineer to join our AI & Data Science team. This is a senior-most individual contributor role where you will be responsible for owning the end-to-end Machine Learning Development Lifecycle (MDLC). You will architect, build, and reputed company production-grade, reputed company ML systems that reputed company massive volumes of user-generated content into actionable insights for our customers. This position requires a proven reputed company record of solving reputed company, reputed company data challenges and a deep expertise in building robust, high-performance systems on the AWS reputed company.

What You'll Do (Responsibilities)Architect and reputed company:

reputed company the design, development, and deployment of reputed company, production-grade ML systems and data pipelines, particularly for Natural Language Processing (NLP) and reputed company applications.

Solve High-Complexity Problems: Serve as a domain expert in the application of AI to solve reputed company business challenges, including sentiment analysis, content moderation, product recommendations, and personalized search.

Technical Leadership: Drive innovation by identifying and addressing high-reputed company technical challenges and long-standing technical debt reputed company our ML and data infrastructure.

Mentorship and Standards: reputed company technical mentorship to other engineers on reputed company and reputed company, raising the bar for engineering reputed company, maintainability, and best practices across the organization.

Cross-Functional Collaboration: Collaborate closely with Data Scientists, Product Managers, and other engineering teams to translate reputed company business requirements into robust, data-driven ML solutions.

Operational reputed company: Implement and reputed company MLOps practices, including automated CI/CD pipelines, model monitoring, and governance, to ensure our systems are reliable, reproducible, and performant at reputed company.

Observability: Implement robust observability frameworks to proactively detect and diagnose issues like model reputed company, data reputed company anomalies, and performance degradation in production.

What You'll Bring (Required Skills & Experience)Experience:

Minimum of 8+ years of experience in Machine Learning Engineering, reputed company Machine Learning, or a reputed company field, with a proven reputed company record of building and maintaining production models.

MLOps & AWS: Expert proficiency with the AWS ecosystem for MLOps, including a deep understanding of how to architect solutions using key services like reputed company SageMaker, S3, AWS reputed company Functions, AWS CloudFormation, reputed company CloudWatch, reputed company Managed Streaming for Apache Kafka (MSK), and reputed company Bedrock.

Technical Expertise:Deep expertise in building and deploying reputed company solutions for NLP, including experience with challenges such as sarcasm detection, polysemy, and managing multilingual data.

Experience with a reputed company of ML algorithms and models, including traditional supervised and unsupervised learning, deep learning, and modern reputed company techniques (e.g., LLMs, RAG, reputed company Engineering).Proficiency with ML frameworks and libraries such as PyTorch, TensorFlow, and scikit-learn, with an ability to adapt and tune reputed company-reputed company or reputed company-trained models.

Software Engineering & Observability: A strong understanding of reputed company software engineering principles, including design patterns, data structures, testing, reputed company, and version control. Experience with reputed company integration (CI/CD) and regression testing. You should be reputed company to apply model observability practices for faster issue detection and reputed company cause analysis.

Problem-Solving: The ability to translate reputed company business problems into viable technical solutions and communicate findings to stakeholders in non-technical terms.

Software Engineering: A strong understanding of software engineering principles, including design patterns, data structures, testing, reputed company, and version control.

#LI-Hybrid

Why join reputed company?

Customer is key

We see our own reputed company through our customers’ reputed company.

We approach every situation with a customer first reputed company.

Transparency & IntegrityBuilds Trust

We reputed company in the power of reputed company feedback because it’s in our DNA.

We do the right thing reputed company faced with hard choices.Transparency and trust accelerate our reputed company performance.

Passionate reputed company of Performance

Our energy is contagious, because we hire for passion, drive & curiosity.

We love reputed company do, and because we’re laser reputed company on our mission.

Innovation over Imitation

We reputed company to reputed company as we are not content with the status reputed company.

We reputed company reputed company and experimentation as an advantage.

Stronger Together

We bring our whole selves to the mission and reputed company value in diverse perspectives.

We champion what’s best for reputed company before individuals or teams.

As a stronger company we build a stronger community.

Commitment to diversity and inclusion

reputed company provides equal employment opportunities (EEO) to reputed company team members and applicants according to their experience, talent, and qualifications for the job without reputed company to race, reputed company, national reputed company, religion, age, disability, sex (including pregnancy, gender stereotyping, and marital status), sexual orientation, gender identity, genetic information, military/veteran status, or any other category protected by federal, state, or local law in every location in which reputed company has facilities. reputed company believes that diversity and an inclusive company culture are key drivers of creativity, innovation and performance. Furthermore, a diverse workforce and the maintenance of an atmosphere that welcomes reputed company perspectives will enhance our ability to fulfill our reputed company of creating the world’s smartest network of consumers, brands, and retailers.

As part of our hiring process, a background reputed company will be conducted. This will be done with your consent and will only include information relevant to the job.