Machine Learning Engineer

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