Senior AI/ML Engineer

5 days ago

Hyderabad, India Corpxcel Consulting Full time

Location : HiTech City,HyderabadWorking days : 5days from officeYears of exp is 5+yrsNotice Period : immediate joiners onlyPh.D is an added advantage.Were looking for a Senior AI/ML Engineer with a strong foundation in geometric reasoning, hands-on Python and SQL expertise, and a flair for creative problem-solving. This role is ideal for someone who thrives on building innovative, agent-driven solutions and can independently devise new frameworks or approaches to solve complex problems.Roles & Responsibilities : - Develop, optimize, and deploy end-to-end ML models with strong Python and SQL expertise.- Apply linear algebra, calculus, probability, and statistics to solve real-world ML problems.- Design and implement ML algorithms such as Linear/Logistic Regression, Trees, XGBoost, Clustering, and Anomaly Detection.- Build scalable, agent-driven AI solutions with a focus on innovation and independent problem-solving.- Strong experience in geometric concept application and hands-on coding over theoretical research.- Implement Time Series Forecasting and advanced ML frameworks in production-ready systems.- Practice Test-Driven Development with exposure to AWS cloud deployment.- Collaborate cross-functionally as a senior developer, driving creative and practical AI/ML engineering solutions.Required Skills : - Proven experience as a hands-on Senior Developer or AI/ML Engineer (Ph.D. not mandatory, but strong experience and creativity are key).- Strong background in Python programming and SQL.- Demonstrated ability to creatively solve problems and think beyond standard solutions.- Experience designing or implementing agent-driven architectures or frameworks.- Ability to work independently and drive innovation.- Familiarity with test-driven development (TDD) practices.- Experience with AWS cloud platforms is a plus.- Exposure to geometric computation, simulations, or 3D spatial reasoning is a strong advantage.Nice to Have : - Experience with reinforcement learning or autonomous agents.- Familiarity with modern ML Ops practices.- Previous work in a research-heavy or innovation-focused environment. (ref:hirist.tech)

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