What You’ll Do:
· Hands-on Machine Learning Engineer who will release models in production.
· Develop classifiers, predictive models, and multi-variate optimization algorithms on large-scale datasets using advanced statistical modeling, machine learning, and data mining.
· Special focus on R&D that will be building predictive models for conversion optimization, Bidding algorithms for pacing & optimization, Reinforcement learning problems, and Forecasting.
· Collaborate with Product Management to bring AI-based Assistive experiences to life. Socialize what’s possible now or in the near future to inform the roadmap.
· Responsible for driving all aspects of ML product development: ML modeling, data/ML pipelines, quality evaluations, productization, and ML Ops.
· Create and instill a team culture that focuses on sound scientific processes and encourages deep engagement with our customers.
· Handle project scope and risks with data, analytics, and creative problem-solving.
What you require:
· Solid foundation in machine learning, classifiers, statistical modeling and multivariate optimization techniques
· Experience with control systems, reinforcement learning problems, and contextual bandit algos.
· Experience with DNN frameworks like TensorFlow or PyTorch on large-scale data sets.
· TensorFlow, R, scikit, pandas
· Proficient in one or more: Python, Java/Scala, SQL, Hive, Spark
· Good to have - Git, Docker, Kubernetes
. GenAI, RAG pipelines a must have technology
. Cloud based solutions is good to have
· General understanding of data structures, algorithms, multi-threaded programming, and distributed computing concepts
· Ability to be a self-starter and work closely with other data scientists and software engineers to design, test, and build production-ready ML and optimization models and distributed algorithms running on large-scale data sets.
Ideal Candidate Profile:
· A total of 10+ years of experience, including at least 5 years in technical roles involving Data Science, Machine Learning, or Statistics.
· Masters or B.Tech in Computer Science/ Statistics
· Comfort with ambiguity, adaptability to evolving priorities, and the ability to lead a team while working autonomously.
· Proven management experience with highly diverse and global teams.
· Demonstrated ability to influence technical and non-technical stakeholders.
· Proven ability to effectively manage in a high-growth, matrixed organization.
· Track record of delivering cloud-scale, data-driven products, and services that are widely adopted with large customer bases.
· An ability to think strategically, look around corners, and create a vision for the current quarter, the year, and five years down the road.
· A relentless pursuit of great customer experiences and continuous improvements to the product.