Your day-to-day
As the Senior Engineering manager, you will be managing the roadmap & priorities for AI/ML Products and our Recommendation Engine. You will be on point for all technical issues and decisions, while managing stakeholders and partners across the organization.
- Provide technical leadership & manage a high-performing engineering team to build and scale our next generation recommendation engine.
- Hire and directly lead a diverse team of top-tier ML and software engineers, taking charge of all facets of AI Products
- Ensure high code quality, performance, and reliability through rigorous testing, code reviews, and adherence to software development bestpractices.
- Drive innovation by researching andincorporating state-of-the-art machinelearning techniques, tools, and frameworks into theplatform.
- Effective communication, listening, interpersonal, influencing, and alignment driving skills; able to convey important messages in a clear and compelling manner
- Collaborate with cross-functional teams including product managers, data scientists, and software engineers and stakeholders to define platform requirements andpriorities.
- Develop and evolve engineering processes and collaboration models to optimize team efficiency and collaboration
- Mentor teammembers, provide technicalguidance, and foster a culture of collaboration, innovation, and continuouslearning.
- Stay up to date with the latest advancements in AI/ML technology and industry trendsand leverage thisknowledge to enhance the platform's capabilities
What do you need to bring
Qualifications:
- Proven experience in leading or managing machine learning/AI teams, with a track record of building successful AI solutions and productizing ML Models, Features Stores
- Solid track record of over-achieving engineering and platform delivery and scaling targets in high volume, innovative and fast-paced high-pressure environment; proven results in delivery on platformproducts.
- Masters / bachelor’s in computer science, Computer engineering, Machine Learning, Data Mining, Information Systems, or related disciplines, withtechnical expertise inone or more of the above-mentioned areas or equivalent practicalexperience.
- Strong proficiency inmachine learning concepts, algorithms, and techniques, with hands-on experience in developing and deploying machine learning models.
- Proficiency in multipleProgramming/scriptinglanguages, i.e. Unix/Linux Shell Scripting, Python, Java, Scala.
- Expertise in building data pipelines with Big Data technologies such as Hadoop, Spark, HBase, Kafka.
- Proficiency in SQL, ETL, database design
- Good understanding of NoSQL database like HBase, Redis, Aerospike.
- Good understanding of distributed systems, data streaming, complex event Processing, NoSQL solutions for creating and managing data integration pipelines for batch and Real Time data needs.
- Experience with machine learning libraries/frameworks such asTensorFlow, PyTorch,scikit-learn, etc.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker,Kubernetes). Experiencein Azure is a plus
- Strong communication, listening, interpersonal, influencing, and alignment driving skills; able to convey important messages in a clear and compelling manner
- Demonstrated leadership abilities, including the ability to inspire, mentor, and empower team members to achieve their full potential.
Travel Percent:
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .
The U.S. national annual pay range for this role is
Our Benefits:
Any general requests for consideration of your skills, please