11+ Personnel security Jobs in India

Personal Assistant-Manesar, Haryana

Responsibilities:

1. Coordinate and manage the managing director’s schedule, including meetings, appointments,

and travel arrangements.

2. EXCELLENT FOLLOW UP SKILLS.

3. Manage and prioritize incoming communications, including emails, phone calls, and mail.

4. Organize and coordinate meetings and work, conferences, and events, both internally and

externally.

5. Prepare meeting agendas, materials, and follow-up on action items.

6. Track and manage expenses, ensuring accurate and timely submission of expense reports.

7. Collaborate with other administrative staff to ensure seamless office operations.

4. Ability to take notes, Strong communication skills, both written and verbal.

5. Flexibility to adapt to changing priorities and work in a fast-paced environment

Developer – Full stack

·        Full stack development experience for 1-2 years

·        Implement new application features and improvements to existing features based on defined project requirements.

·        Experience with React or Angular framework

·        Familiarity of HTML5, CSS3, and JavaScript skills.

·        Experience developing server side applications in at least Java 8.

·        Experience with Spring Boot and REST APIs.

·        Collaborate with cross-functional teams to design, develop and deploy new features and applications

·        Ability to write and optimize SQL queries and database performance tuning

·        Familiar using source control systems, preferably Git.

·        Troubleshoot and resolve application bugs

·        Passionate about developing high quality code that has been thoroughly tested.

·        Strong written and verbal communications skills.

·        Stay up-to-date with emerging trends and technologies in web development

·        Implement automated testing and continuous integration and deployment processes

·        Ability to learn quickly.

Good to have skills

·        Python, Flask, Fast API knowledge

·        Cloud knowledge – preferably AWS

·        Understanding of graph database

·        Familiarity with containerization technologies such as Docker and Kubernetes

The VP of HR for our private security agency will be responsible for leading all aspects of the human resources function within the organization except Talent Acquisition. This includes strategic planning, policy development, Behavioural training, performance management, employee relations, and nuances of culture. The ideal candidate will have extensive experience in HR management, preferably within the security industry, and possess strong leadership and interpersonal skills.

Key Responsibilities:

Strategic HR Planning:

Develop and implement HR strategies aligned with the overall objectives of the organization.

Identify and anticipate HR-related needs and challenges, and provide proactive solutions.

HR Operations:

Timely and accurate Payroll for Staff

Handling entire life-cycle of staff – Maintaining personal files, Confirmations, Exits, F&F Settlements

Compensation & Benefits – Periodical review of structure and Matrix

Employee Benefits, viz., Group Mediclaim, Group Personal Accident, Group Gratuity

Policy Development and Implementation:

Establish HR policies and procedures that comply with relevant laws and regulations.

Ensure consistent enforcement and adherence to policies throughout the organization.

Training and Development:

Design and implement behavioural training programs as and when required

Provide leadership development opportunities to support career growth and succession planning.

Performance Management:

Develop performance management system to evaluate employee performance and provide feedback.

Implement processes for goal setting, regular performance reviews, and R&R programs.

Allocate resources to meet HR objectives and priorities.

Employee Relations:

Positive approach to employee relations issues, grievances handling, and conflicts resolution.

Handling Disciplinary procedures

Promote a positive work culture and foster employee engagement and morale.

Compliance and Legal Matters:

Ensure compliance with labour laws, regulations, and industry standards.

Stay abreast of changes in legislation and update HR policies accordingly.

Reporting and Analytics:

Prepare regular reports on HR metrics and key performance indicators.

Analyse data to identify trends and areas for improvement.

Job Specification:

Bachelor's degree and in addition PG degree in HR is preferred

Proven experience of minimum 15+ years in HR management preferably within the manpower industry.

Strong knowledge of HR best practices, employment law, and regulatory compliance.

Excellent leadership, communication, and interpersonal skills.

Must have good knowledge of GST Act and expertise in excel and tally

Should have experience in dealing with GST department

Should have experience in handling GST audit

Preparation of data for filing of GSTR 1 & GSTR 3B

Role: Taxation Executive

Industry Type: Accounting / Auditing

Department: Finance & Accounting

Employment Type: Full Time, Permanent

Role Category: Accounting & Taxation

We are looking for a Java developer responsible for building Java applications. This includes anything between complex groups of back-end services and their client-end (desktop and mobile) counterparts. Your primary responsibility will be to design and develop these applications, and to coordinate with the rest of the team working on different layers of the infrastructure. Thus, a commitment to collaborative problem solving, sophisticated design, and product quality is essential.

Backend (Mandatory/Must to have skills) :

1. Core Java/Java8,
2. Spring boot,
3. Spring Security,
4. Hibernate or any other ORM (Object Relational Mapping) framework.
5. SQL/PL-SQL (Oracle or Mysql or postgresql) but mostly Oracle
6. Restful webservices
7. Git

Backend (Good to have skills) :

1. Knowledge of SOAP based webservices
2. Struts framework
3. Microservices

Backend (Not absolutely necessary but plus point if candidate has knowledge about ) :

1. Docker
2. Apache Kafka/ any other messaging queue tool like RabbitMQ, ActiveMQ etc.,)
3. Cloud experience AWS/Azure

Responsibilities:

• Contribute in all phases of the development lifecycle
• Write well designed, testable, efficient code
• Ensure designs are in compliance with specifications
• Prepare and produce releases of software components
• Translate application storyboards and use cases into functional applications
• Design, build, and maintain efficient, reusable, and reliable Java code
• Ensure the best possible performance, quality, and responsiveness of the applications
• Identify bottlenecks and bugs, and devise solutions to these problems
• Help maintain code quality, organization and automatization

• 3-5  years of experience in development of Java based Web software solutions
•  
• Expertise in Full Stack Java development using Java frameworks and libraries such as Spring, Spring Boot, Hibernate and Maven with Oracle database
• Have knowledge and experience with at least one of the following frontend technologies: ReactJS or Angular 2+
• Knowledge of JavaScript, HTML5, CSS3
• Have good written and verbal English language communication skills with an ability to work effectively in an international environment 

ML Engineer-Analyst/ Senior Analyst

Job purpose:

To design and develop machine learning and deep learning systems. Run machine learning tests andexperiments and implementing appropriate ML algorithms. Works cross-functionally with the Data Scientists, Software application developers and business groups for the development of innovative ML models. Use Agile experience to work collaboratively with other Managers/Owners in geographically distributed teams.

Accountabilities:

• Work with Data Scientists and Business Analysts to frame problems in a business context. Assist all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.

• Understand business objectives and developing models that help to achieve them, along with metrics to track their progress.

• Explore and visualize data to gain an understanding of it, then identify differences in data distribution that could affect performance when deploying the model in the real world.

• Define validation strategies, preprocess or feature engineering to be done on a given dataset and data augmentation pipelines.

• Analyze the errors of the model and design strategies to overcome them.
• Collaborate with data engineers to build data and model pipelines, manage the infrastructure and data pipelines needed to bring code to production and demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created.

Qualifications & Specifications

• Bachelor's degree in Engineering /Computer Science/ Math/ Statistics or equivalent. Master's degree in relevant specification will be first preference

• Experience of machine learning algorithms and libraries
• Understanding of data structures, data modeling and software architecture.
• Deep knowledge of math, probability, statistics and algorithms
• Experience with machine learning platforms such as Microsoft Azure, Google Cloud, IBM Watson, and Amazon

• Big data environment: Hadoop, Spark
• Programming languages: Python, R, PySpark
• Supervised & Unsupervised machine learning: linear regression, logistic regression, k-means

clustering, ensemble models, random forest, svm, gradient boosting

• Sampling data: bagging & boosting, bootstrapping
• Neural networks: ANN, CNN, RNN related topics
• Deep learning: Keras, Tensorflow
• Experience with AWS Sagemaker deployment and agile methodology