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Urgent! Software Development Engineer II - Machine Learning Models Job Opening In Bengaluru – Now Hiring HyreSnap

Software Development Engineer II Machine Learning Models



Job description

<p><b>Description :</b><br/><br/>As an SDE II - Machine Learning, you will be a core contributor in designing, building, and scaling ML-driven systems that power our real-time ad platforms.

You'll be responsible for full-stack ML development from data engineering and model development to scalable deployment, working closely with product, data science, and engineering teams.<br/><br/><b>Responsibilities :</b><br/><br/>- Build and deploy machine learning models for ranking, bid optimization, and click-through rate prediction.<br/><br/></p><p><br/>- Design scalable and fault-tolerant data pipelines and services that serve real-time and batch ML workloads.<br/><br/></p><p><br/>- Work with large volumes of structured and unstructured data to extract meaningful patterns.<br/><br/></p><p><br/>- Collaborate with data scientists to convert prototypes into production-ready systems.<br/><br/></p><p><br/>- Build systems to intelligently target ads and content by combining contextual and behavioral signals.<br/><br/></p><p><br/>- Use LLM learning to improve ad relevance, page understanding, and user targeting.<br/><br/></p><p><br/>- Continuously experiment and optimize models based on user feedback and system performance.<br/><br/><b>Some Interesting Challenges You'll Solve :</b><br/><br/>- Predicting CTRs and revenue across millions of unique URLs and topics in real-time.<br/><br/></p><p><br/>- Solving cold-start problems with sparse data using explore-exploit frameworks.<br/><br/></p><p><br/>- Matching contextual and behavioral data for enhanced user targeting.<br/><br/></p><p><br/>- Designing real-time bidding systems that optimize for revenue and win rate.<br/><br/></p><p><br/>- Leveraging LLMs/NLP to extract intent and context from web content.<br/><br/><b>Requirments :</b><br/><br/>- 3-6 years of hands-on experience in software development and ML engineering.<br/><br/></p><p><br/>- Strong programming and debugging skills, preferably in Python and Java.<br/><br/></p><p><br/>- Experience building and deploying ML models in production environments.<br/><br/></p><p><br/>- Solid understanding of ML algorithms (e.

g., decision trees, gradient boosting, deep learning).<br/><br/></p><p><br/>- Hands-on experience with large-scale data processing tools (e.

g., Spark, Hadoop).<br/><br/></p><p><br/>- Ability to design low-latency, high-throughput systems.<br/><br/></p><p><br/>- Strong problem-solving and analytical skills.<br/><br/><b>Tech Stack :</b><br/><br/>- Languages: Python, Java, Node.js .<br/><br/></p><p><br/>- ML/Big Data: Apache Spark, Hadoop, TensorFlow/PyTorch, Kafka.<br/><br/></p><p><br/>- Databases: SQL, MongoDB, Redis, and Elasticsearch.<br/><br/></p><p><br/>- Cloud: GCP or similar.<br/><br/><b>Bonus Points :</b><br/><br/>- Prior experience with ad tech, recommender systems, or real-time bidding.<br/><br/></p><p><br/>- Publications or contributions to ML research or open-source projects.<br/><br/></p><p><br/>- Experience with NLP, LLMs, or Information Retrieval.<br/><br/></p><p><br/>- Exposure to auction theory or game-theoretic modeling.</p> (ref:hirist.tech)


Required Skill Profession

Computer Occupations



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