Average salary: Rs923,948 /yearly
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- ...budget. Responsibilities include overall project planning, direction, prioritization, change management, delivery, and post-delivery evaluation. Ensures project scope, planning, and implementation align with expectations and business needs. Ensures alignment between multiple...SuggestedFlexible hours
Amazon Robotics
Nalgonda2 days ago - ...Industry: Medical Salary: ₹5LPM to 7LPM Work Experience: 0-1 year Responsibilities: Perform comprehensive patient evaluations, including detailed medical history, physical examinations, and interpretation of diagnostic tests. Conduct and interpret...SuggestedFull timeInternship
Rs 6 - 8.5 lakhs p.a.
...impact on business success. Key Responsibilities: Lead and manage end-to-end recruitment for US IT positions. Source, screen, and evaluate candidates on C2C, W2, and 1099 employment types. Collaborate with hiring managers to understand hiring needs and build effective...SuggestedSita Corp India Private Limited
Nalgonda24 days ago- ...Provide direct patient care ensuring adherence to the highest standards of medical practice and patient safety. Supervise mentor and evaluate nursing staff fostering a collaborative and supportive team environment. Develop and implement departmental policies procedures...SuggestedPermanent employmentFull time
Randstad India
Nalgonda18 days ago - ...assurance standards and support scalable manufacturing.• Oversee documentation and compliance with industrial standards and certifications.• Evaluate and implement improvements to enhance reliability and production efficiency.• Manage project timelines and deliverables related to...Suggested
Rs 2.4 - 3 lakhs p.a.
...ensure their understanding and progress 4. Creating interactive projects and activities to enhance student learning and retention 5. Evaluating student performance and providing constructive feedback for improvement 6. Collaborating with fellow teachers and staff to...SuggestedImmediate startRs 20 lakh p.a.
...data pipelines to production deployment ~ Design and implement production ML pipelines: ingestion, feature engineering, training, evaluation, deployment, monitoring, retraining (MLOps) ~ Build and mentor AI/ML engineering team (3–5 engineers): code reviews,...SuggestedFull time
