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Machine Learning Engineer
4 weeks ago
Key Responsibilities:
- Design and implement machine learning models, information extraction techniques, and probabilistic matching algorithms
- Develop scalable and innovative AI-driven solutions to complex business challenges
- Apply the latest advancements in NLP, data science, and machine learning to enhance existing products and develop new ones
- Optimize and scale machine learning algorithms to support high-volume data processing
- Collaborate with Product Management, Engineering, and Data Science teams to drive AI-based innovation
- Actively contribute to the future roadmap of AI and data-driven solutions
- Work in a fast-paced, agile environment, delivering high-impact solutions
Required Experience & Qualifications:
- 7+ years of industry experience in AI/ML development
- PhD/MS/BTech in Computer Science, Information Systems, or a related technical field
- Strong foundation in mathematics, statistics, and data analytics
- Expertise in Machine Learning, NLP algorithms, and Deep Learning
- Proficiency in Python, Java, and Scala
- Experience in building and deploying end-to-end AI/ML solutions
- Knowledge of big data processing frameworks such as Hadoop, Spark, and Kafka
About the Client:
A product engineering company specializing in Human & AI collaboration across AR/VR/MR technologies. They focus on AI-driven turnkey solutions to modernize existing products and develop next-generation applications. Their expertise spans:
- RPA, Machine Learning, Deep Learning, Generative AI, Low-Code/No-Code applications, and CloudOps
- Enterprise services in Oracle, SAP, Salesforce, and ServiceNow