M.Sc Job Vacancies in Bangalore

Key Responsibilities Model Development: Lead the design and development of quantitative data engineeringmodels, including algorithms, data pipelines, and data processing systems, to supportbusiness requirements. Data Processing: Develop and maintain data processing pipelines to ingest, clean,transform, and aggregate large volumes of data from various sources, ensuring dataquality and reliability. Algorithm Development: Design and implement algorithms for data analysis, machinelearning, and statistical modeling, using techniques such as regression analysis,clustering, and predictive modeling. Performance Optimization: Identify and implement optimizations to improve theperformance and efficiency of data processing and modeling algorithms, consideringfactors like scalability and resource utilization. Data Visualization: Create visualizations of data and model outputs to communicateinsights and findings to stakeholders. Data Quality Assurance: Implement data quality checks and validation processes toensure the accuracy, completeness, and consistency of data used in models andanalyses. Model Evaluation: Evaluate the performance of data engineering models using metricsand validation techniques, and iterate on models to improve their accuracy andeffectiveness. Collaboration: Collaborate with data scientists, analysts, and business stakeholders tounderstand requirements, develop models, and deliver insights that drive businessdecisions. Documentation: Document the design, implementation, and evaluation of dataengineering models, including assumptions, methodologies, and results, to ensurereproducibility and transparency. Continuous Learning: Stay updated with the latest trends, tools, and technologies inquantitative data engineering and data science, and continuously improve your skillsand knowledge.Desired Skills and Experience Data Engineering: Strong background in data engineering principles, including dataingestion, data processing, data transformation, and data storage, using tools andframeworks such as Apache Spark, Apache Flink, or AWS Glue. Quantitative Analysis: Proficiency in quantitative analysis techniques, includingstatistical modeling, machine learning, and data mining, with experience inimplementing algorithms for regression analysis, clustering, classification, and predictivemodeling. Programming Languages: Proficiency in programming languages commonly used fordata engineering and quantitative analysis, such as Python, R, Java, or Scala, as well asexperience with SQL for data querying and manipulation. Big Data Technologies: Familiarity with big data technologies and platforms, such asHadoop, Apache Kafka, Apache Hive, or AWS EMR, for processing and analyzing largevolumes of data. Data Visualization: Experience in data visualization techniques and tools, such asMatplotlib, Seaborn, or Tableau, for creating visualizations of data and model outputs tocommunicate insights effectively. Machine Learning Frameworks: Familiarity with machine learning frameworks andlibraries, such as PyTorch for implementing and deploying machine learning models. Cloud Computing: Experience with cloud computing platforms, such as AWS, Azure, orGoogle Cloud Platform, and proficiency in using cloud services for data engineering andmodel deployment. Software Development: Strong software development skills, including proficiency insoftware design patterns, version control systems (e.g., Git), and software testingframeworks, to develop robust and maintainable code. Problem-solving Skills: Excellent problem-solving skills, with the ability to analyzecomplex data engineering and quantitative analysis problems, identify solutions, andimplement them effectively. Communication and Collaboration: Strong communication and collaboration skills, withthe ability to work effectively with cross-functional teams, including data scientists,analysts, and business stakeholders, to understand requirements and deliver solutions. Domain Knowledge: Domain knowledge in areas such as finance, healthcare, ormarketing, depending on the industry, to understand the context and requirements ofdata engineering models in specific domains. Continuous Learning: A commitment to continuous learning and staying updated withthe latest trends, tools, and technologies in data engineering, quantitative analysis, andmachine learning.

Interview for BiologistResponsibilities:- Conducting research and experiments to study living organisms and their interactions with the environment- Collecting samples, analyzing data, and interpreting results- Writing reports and presenting findings to colleagues and stakeholders- Developing and implementing research projects to advance scientific knowledge- Collaborating with other scientists and researchers in multidisciplinary teams- Ensuring compliance with regulatory requirements and safety protocols

Urgent OpeningArea Sales Manager(Chemical Manufacturing Company)Head Office MumbaiJob Locations: Mumbai, Gujarat, Hyderabad, Bangalore. Qualifications: Bachelor's degree in business, marketing, or a related field Experience: 5+ years of experience in the chemical industry Salary: No constraint for the right candidate. Essential Duties and Responsibilities:The Area Sales Manager is responsible for the sales and marketing of API, Speciality chemicals, and excipients within a designated geographical area. The ideal candidate will have a proven track record of success in the chemical industry, as well as strong leadership skills. Develop and execute sales plans to achieve revenue targets Manage and motivate a team of sales representatives Identify and develop new customers Maintain and grow relationships with existing customers Conduct market research and analysis Represent the company at trade shows and industry events Stay up-to-date on industry trends and regulations Customer visits will be required at customer locations for meetings and providing support, and services as neededNote : Strong sales and marketing skills Excellent communication and interpersonal skills Ability to work independently and as part of a team

What You Will DoWe are looking for bright and experienced Senior DevOps Engineers who are both strong individual contributors and dynamic team leaders to join our dedicated DevOps Practice Group. As a Senior DevOps Engineer at Zemoso, you will leverage your expertise to provide DevSecOps services to our customers and internal development teams.Basic Qualifications Bachelors degree in Computer Science, Engineering, or equivalent experience. 4+ years of DevOps experience, with a strong focus on the Azure platform. Relevant Azure Certification(s).Must-Have Experience Infrastructure as Code (IaC) tools: ARM/Bicep templates, Azure DevOps. GitHub repositories and Git tools. Scripting languages: Python, PowerShell, Bash. CI/CD design and build management. Azure Policy and permissions provisioning. IT experience in design and development (Java Spring Boot) and automated testing.Nice-to-Have Experience Additional IaC tools: CloudFormation, Terraform. Build tools: Apache Maven, Jenkins. Containerization tools: Docker, Kubernetes.Additionally, Were Looking for Individuals Who: Assist in the rollout and deployment of new product features and deploy applications via automation with configuration management tools. Build applications and tools to reduce barriers, decrease friction, and accelerate product delivery. Can effectively articulate technical challenges and solutions. Have strong collaborative instincts and interpersonal skills, working well with a diverse range of stakeholders in a complex organization. Can manage individual project priorities with guidance, ensuring timely delivery of deadlines and deliverables.Benefits Competitive salary. Work from anywhere. Fast-paced learning environment with opportunities for rapid skill growth and experience.

As a Nurse, your responsibilities will include providing direct patient care, administering medication, performing medical procedures, collaborating with physicians and other healthcare professionals, monitoring patient progress, and educating patients and their families about healthcare management. You will be expected to assess patient conditions, develop care plans, and ensure the delivery of high-quality patient care.To excel in this role, you must have strong communication and interpersonal skills, be detail-oriented, and have the ability to work effectively in a team environment.

A Pharmacist is responsible for dispensing medications to patients and providing information on their proper use and potential side effects. They must also ensure that prescriptions are filled accurately and that patients understand how to take their medications correctly. In addition to these duties, Pharmacists are often required to compound medications, conduct health and wellness screenings, and provide immunizations.Key Responsibilities:1. Dispensing medications to patients accurately and safely2. Providing information on proper medication use and potential side effects

Medical Coding is the Fastest-growing Profession in the Healthcare Industry Today. It is a Niche Specialization and the Demand for Trained and Certified Medical Coders is Increasing Exponentially and Bound to Increase in Upcoming Years, Especially in India.you have At Least a Diploma/degree in Any Field.this Role is Open to Fresh Graduates with Excellent English Communication Skills.you Pay Strong Attention to Details and are Capable of Delivering Top-quality Workyou are Goal-oriented and Thrive in Fast-paced Environmentsmaintains a Working Knowledge of Cpt-4, Icd-10-cm, and Icd-10-pcs Coding Principles, Governmental Regulations, Uhdds (uniform Hospital Discharge Data Set) Guidelines, Aha Coding Clinic Updates, and Third-party Requirements Regarding Coding and Documentation Guidelinesct Us:hr Shanmuga Priya8072891550

Key Responsibilities Analyst Workflows: Design and development of company integrated content publishing platform using a proprietary 3rd party editorial and publishing platform for integrated digital publishing. Designing and Developing APIs: Design and development of robust, scalable, and secure APIs on AWS, considering factors like performance, reliability, and cost-efficiency. AWS Service Integration: Integrate APIs with various AWS services such as AWS Lambda, Amazon API Gateway, Amazon SQS, Amazon SNS, AWS Glue, and others, to build comprehensive and efficient solutions. Performance Optimization: Identify and implement optimizations to improve performance, scalability, and efficiency, leveraging AWS services and tools. Security and Compliance: Ensure APIs are developed following best security practices, including authentication, authorization, encryption, and compliance with relevant standards and regulations. Monitoring and Logging: Implement monitoring and logging solutions for APIs using AWS CloudWatch, AWS X-Ray, or similar tools, to ensure availability, performance, and reliability. Continuous Integration and Deployment (CI/CD): Establish and maintain CI/CD pipelines for API development, automating testing, deployment, and monitoring processes on AWS. Documentation and Training: Create and maintain comprehensive documentation for internal and external users, and provide training and support to developers and stakeholders. Team Collaboration: Collaborate effectively with cross-functional teams, including product managers, designers, and other developers, to deliver high-quality solutions that meet business requirements. Problem Solving: troubleshooting efforts, identifying root causes and implementing solutions to ensure system stability and performance. Stay Updated: Stay updated with the latest trends, tools, and technologies related to development on AWS, and continuously improve your skills and knowledge. Desired Skills and Experience Development: 5+ years of extensive experience in designing, developing, and deploying using modern technologies, with a focus on scalability, performance, and security. AWS Services: proficiency in using AWS services such as AWS Lambda, Amazon API Gateway, Amazon SQS, Amazon SNS, Amazon SES, Amazon RDS, Amazon DynamoDB, and others, to build and deploy API solutions. Programming Languages: Proficiency in programming languages commonly used for development, such as Python, Node.js, or others, as well as experience with serverless frameworks like AWS. Architecture Design: Ability to design scalable and resilient API architectures using microservices, serverless, or other modern architectural patterns, considering factors like performance, reliability, and cost-efficiency. Security: Strong understanding of security principles and best practices, including authentication, authorization, encryption, and compliance with standards like OAuth, OpenID Connect, and AWS IAM. DevOps Practices: Familiarity with DevOps practices and tools, including CI/CD pipelines, infrastructure as code (IaC), and automated testing, to ensure efficient and reliable deployment on AWS. Problem-solving Skills: Excellent problem-solving skills, with the ability to troubleshoot complex issues, identify root causes, and implement effective solutions to ensure the stability and performance. Communication Skills: Strong communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical stakeholders, and collaborate with crossfunctional teams. Agile Methodologies: Experience working in Agile development environments, following practices like Scrum or Kanban, and ability to adapt to changing requirements and priorities. Continuous Learning: A commitment to continuous learning and staying updated with the latest trends, tools, and technologies related to development and AWS services. Bachelor's Degree: A bachelor's degree in Computer Science, Software Engineering, or a related field is often preferred, although equivalent experience and certifications can also be valuable.