The People.AI team is seeking a highly skilled and experienced Staff Software Engineer (Machine Learning Engineer) . In this individual contributor role , you need to possess outstanding python development experience and a deep passion for AI/ML driven product development. This role involves leading the development of innovative ML systems on an enterprise scale, implementing cutting-edge Generative AI technologies, and collaborating with a diverse, yet highly synergized, team. Also, you will play a pivotal role in shaping the technical direction of our products and systems with responsibilities including leading the creation and maintenance of technical architecture, aligning it with business goals and scalability requirements, and architecting complex software systems to ensure performance, security, and scalability needs are met. Additionally, the role involves providing hands-on technical guidance and mentorship to software engineers, collaborating closely with cross-functional teams, and establishing and enforcing coding standards through thorough code reviews
What you'll do:
This is a vital role with significant growth prospects . You will have work to do from day one and you will be counted on to create opportunities that align with the overall organization goals.
Some of this role key responsibilities are but not limited to:
Work in an Agile environment as part of a scrum team
Design end-to-end system architecture for data-intensive applications
Develop and deploy production-grade real-time/batch machine learning services
Collaborate with applied researchers and data scientists to iteratively improve our ML models and refine MLOps practice
Support produ ction operati ons by participating in on-call rotations
Technical Proficiency: Skilled in technologies like API Design, scalable apps, distributed systems, Python (ML, APIs, workflows), Azure, GCP, Kubernetes, Kafka, Airflow, SQL.
Software Engineering Fundamentals: Strong software engineering and API design skills.
Intellectual Curiosity: Passion for GenAI, MLOps , cloud tech, staying updated with industry advancements.
What you ll bring:
You have 9 + years experience in design, development and maintenance of highly scalable, secure and user-centric products and platforms
You have a bachelors/masters degree in computer science, information technology, or related area
You are excited about building distributed machine learning systems at scale in production
You are thorough and detail oriented
You believe in the importance of establishing work standards and leveraging automations
You have a history of collaboration, openness, honesty, timely decision making, and clear communication in both verbal and written forms
You embrace lifelong learning - always learning new technologies and techniques. You are also engaged in the open-source communities to both find answers and help others
Must-have experiences:
Exceptional at writing high-performing production-quality code in Python . Mastery of Python, with some JavaScript use.
Code Quality Leadership: Conduct code reviews and uphold high standards .
Architectural Design Experience: Lead architecture design efforts.
ML Pipeline Expertise: Expert in building scalable machine learning pipelines.
Hands-on experience designing and building end-to-end Machine Learning applications
Familiar with version control using Git in collaboration settings
Good understanding of common families of models, feature engineering, feature selection and other practical machine learning issues, such as data drift
Comfortable working with Linux and containers
Supplemental skills:
Experience developing end-to-end CI/CD pipelines
Experience with Kubernetes
Experience building and maintaining large-scale data pipelines in online advertising, recommender system, e-commerce, or relevant areas
Flexible, hybrid work
We use a hybrid way of working with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team , be more flexible in our personal lives.
Benefits
Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include many best-in-class benefits like maternity and parental leave, PTO, health benefits, and more.
Minimum Qualifications...
Minimum Qualifications:Option 1: Bachelors degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years experience in software engineering or related area.Option 2: 6 years experience in software engineering or related area.
Preferred Qualifications...
Master s degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 2 years experience in software engineering or related area
Job Classification
Industry: Retail Functional Area / Department: Engineering - Software & QA, Role Category: Software Development Role: Software Development - Other Employement Type: Full time