As the Conversational AI team we are building completely new capabilities to allow our customers to shop, by seamlessly interacting with their connected devices u sing spoken and written language. This team is part of the Emerging tech organization and will build new voice experiences both in-house and in collaboration with strategic partners. Voice as a medium for shopping is still in its infancy and as part of this team you will get to work on industry leading solutions and be at the forefront of this emerging platform.
What you will do:
Partner with key business stakeholders and be a thought leader in the Conversational AI space for driving the development and planning of POCs and production AI solutions.
Lead the design, development and deployment of complex machine learning solutions that drive business results and impact millions of customers worldwide.
Collaborate with other engineers and data scientists to integrate machine learning models into products and services.
Uphold ML engineering best practices - enforcing high standard for quality, reliability, and security in deployed machine learning solutions.
Stay up to date with the latest AI/ML technologies and trend - acting as a thought leader for ML Engineering within the organization and in the broader technical community.
Enhance current Deployment Solutions to make it cost as we'll as time efficient.
Provide technical leadership, guidance and mentorship to a small group of highly skilled and motivated engineers.
Lead innovation and efficiency through the complete problem-solving cycle, from approach to methods to development and results.
Partner and engage with associates in other regions for delivering the best services to customers around the globe.
Proactively participate in the external community to strengthen Walmarts brand and gain insights into industry practices.
Lead multiple initiatives within the platform, with focus on efficiency, innovation, and leverage.
What you will bring:
Bachelors with 10 + years or Masters with 8 + years of relevant experience. Educational qualifications should be in Computer Science or related fields
7 + year experience in deploying and scaling AI/ML systems for real-time inferencing and streaming applications.
7 + year of experience with MLE technologies: Python, TensorFlow/ Pytorch , Numpy , scikit-learn, Unix, Docker, CPU and GPU architectures, LangChain , Vector DB, etc
Have experience in design ing the pipeline s with different orchestration methods like Airflow, Kubernetes, Job Scheduler etc
3+ year experience in deep learning and generative AI technologies, with focus on optimised model deployments.
6 + year experience with big data stack and relational/no-SQL databases: BigQuery , Spark, HDFC, MySQL, Cassandra, etc
4 + years of experience working with Kafka, ActiveMQ, Caches such as Redis or memcached , Elastic Search.
4 + year of software engineering experience in developing services using Java/C++
Experience using managed servicing public cloud platforms such as Azure, GCP or AWS
Usage of Model Deployment Framework like Triton Server, Seldon Core , Vertex AI is a plus.
Extensive experience in working with large datasets and building batch data processing pipelines
Advanced knowledge of performance, scalability, and system architecture with an eye toward avoiding and reducing technical debt
Good problem-solving attitude and analytical skills
Strong communication skills with inclination to high ownership and commitment
Benefits
Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more.
Minimum Qualifications...
Minimum Qualifications:Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years experience in an analytics related field. Option 3: 6 years experience in an analytics or related field.
Job Classification
Industry: Retail Functional Area / Department: Data Science & Analytics Role Category: Data Science & Machine Learning Role: Machine Learning Engineer Employement Type: Full time