Qureos Mentor

Client of HR4U Consulting

Minimum 8 - 15 years of combined Teaching and hands-on Clinical experience,with at least 8-10 years of Teaching experience in a recognized nursing institution.Should be good at student interaction, coordination with various internal stakeholders.<ul><li>Proficiency in clinical training, and student management.</li><li>Knowledge of government regulations, including INC guidelines and state nursing council rules.</li><li>Hands on in curriculum delivery and prepare students for OJT and placements.</li></ul>Vacancies at various places in Madhya Pradesh (Jabalpur, Jhabua, Khandwa districts) and Jharkhand (Ranchi, Jamtara, Gumla districts).Free accommodation and Food.Stay within the Campus available.Qualification:B. Sc. or M. Sc. NursingGood communication and academic skills.Job Type: Full-timePay: &#8377;40,000.00 - &#8377;70,000.00 per monthBenefits:<ul><li>Food provided</li><li>Paid sick time</li></ul>Work Location: In person

Nursing Faculty

Job Summary:We are seeking an experienced AI Engineer with AWS expertise to design, build, and deploy scalable artificial intelligence and machine learning solutions on the AWS cloud platform. The role involves leveraging AWS AI/ML services, managing data pipelines, and ensuring high-performance model deployment in production environments.Key Responsibilities:Design, develop, and deploy AI and ML models using AWS cloud infrastructure.Utilize AWS AI/ML services such as Amazon SageMaker, AWS Lambda, AWS Glue, Comprehend, Rekognition, and Polly.Build and manage end-to-end machine learning pipelines (data ingestion, training, deployment, and monitoring).Integrate AI models with existing applications via API Gateway or Lambda functions.Implement data preprocessing, feature engineering, and model optimization for better accuracy and performance.Monitor model performance, retraining cycles, and automate ML workflows using AWS tools.Collaborate with cross-functional teams including data scientists, DevOps, and cloud engineers.Maintain best practices for security, scalability, and cost optimization on AWS.Research and recommend new AWS tools or AI frameworks to enhance solution performance.Qualifications &amp; Skills:Education: Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.Experience: 5 +years of experience in AI/ML engineering with strong exposure to AWS.Technical Skills:Proficiency in Python and experience with libraries such as TensorFlow, PyTorch, scikit-learn, and pandas.Hands-on experience with Amazon SageMaker for building, training, and deploying ML models.Strong knowledge of AWS core services, including:EC2, S3, Lambda, Glue, CloudFormation, Step Functions, and API Gateway.AWS AI/ML services: SageMaker, Rekognition, Comprehend, Lex, Polly, Bedrock (for GenAI).Understanding of MLOps on AWS, including CI/CD for ML pipelines.Experience in containerization and orchestration (Docker, ECR, ECS, or Kubernetes).Familiarity with data engineering workflows on AWS using Glue, Redshift, or Athena.Good understanding of cloud security, IAM, and cost optimization principles.Soft Skills:Strong analytical and problem-solving abilities.Excellent teamwork and communication skills.Ability to work in an agile, fast-paced environment.Continuous learning mindset for new AWS and AI technologies.Preferred Qualifications:AWS Certified Machine Learning &ndash; Specialty or AWS Certified Solutions Architect certification.Experience with Generative AI, LLMs, or AWS Bedrock.Familiarity with data versioning tools (DVC, MLflow) and monitoring solutions (CloudWatch, SageMaker Model Monitor).Experience integrating AI solutions with business applications or APIs.Key Performance Indicators (KPIs):Accuracy and performance of deployed AI models.Uptime and scalability of AI systems on AWS.Cost efficiency and resource optimization on AWS infrastructure.Speed of AI model development-to-deployment lifecycle.Job Type: Full-timePay: &#8377;1,000,000.00 - &#8377;1,500,000.00 per yearWork Location: In person

AI Engineer

Join Client of HR4U Consulting and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Client of HR4U Consulting

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Nursing Faculty

AI Engineer