About the job :
We are seeking a highly skilled Senior Machine Learning Engineer to design, develop, and deploy cutting-edge ML and deep learning solutions powering consumer-focused applications.
The role involves building high-impact models for use cases such as predictive safety, content personalization, search optimization, virtual assistants, and time series forecasting.
Core Responsibilities :
- Architect, develop, and implement ML / DL models to solve complex business problems across domains like multilingual text classification, language modeling, and multi-modal learning.
- Design and execute robust evaluation frameworks including A / B testing and performance metrics for both offline and online model assessment.
- Process and analyze large-scale structured and unstructured data using modern big data and streaming technologies to derive actionable insights.
- Write clean, efficient, and reusable code using Python, Scala, or Java, following best practices.
- Collaborate closely with cross-functional teams-including data scientists, software engineers, product managers, and business stakeholders-to align model development with business needs.
- Lead the architecture, development, and delivery of scalable machine learning services that support real-time consumer interactions.
Leadership Responsibilities :
Guide and mentor a high-performing engineering team, fostering a culture of innovation, collaboration, and engineering excellence.Define technical strategy and roadmap in alignment with business goals.Drive engineering best practices, process improvements, and operational excellence using Agile / Scrum methodologies.Required Qualifications :
Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, Data Science, or a related field.5+ years of hands-on experience designing and deploying ML / DL solutions in a production environment.Expertise in Python for ML development (e., scikit-learn, TensorFlow, PyTorch, Hugging Face Transformers).Proficiency with big data tools and platforms (e., Spark, Hadoop, Kafka, Airflow).Strong understanding of ML concepts including supervised / unsupervised learning, deep learning, NLP, and model interpretability.Experience in writing and optimizing SQL queries for data analysis.Demonstrated ability to apply statistical thinking and data-driven decision-making.Familiarity with software engineering best practices including version control (Git), testing, and CI / CD pipelines.Preferred (Good to Have) :
SQLData AnalysisKnowledge of Gaming Industry(ref : hirist.tech)