Cyber Security Engineer

Job description:

Job Description: UK Payroll Executive

Overview

We are looking for a skilled UK Payroll Executive to manage payroll operations for our international clients.

This is a work-from-home (WFH) opportunity with a competitive salary and fixed shift timings. The ideal candidate will have prior experience in UK payroll processing and a strong understanding of compliance requirements.

Job Details

• Position: UK Payroll Executive
• Experience Required: 3-5+ years in UK payroll
• Work Mode: Work from Home (WFH)
• Shift Timings: 1:00 PM – 10:00 PM

Key Responsibilities

• End-to-end processing of UK payroll
• Ensuring compliance with HMRC and other statutory bodies
• Managing payroll queries and generating reports
• Coordinating with clients and internal teams for smooth payroll operations

Requirements

• 3-5 years of experience in UK payroll
• Knowledge of UK tax laws, NI, P45/P60, etc.
• Strong attention to detail
• Excellent communication skills

Job Types: Full-time, Permanent

Benefits:

• Commuter assistance
• Flexible schedule
• Paid sick time
• Provident Fund
• Work from home

Work Location: Remote

Job Title: Senior AI/ML Engineer/Team Lead

Location: Gurugram, Haryana

Employment Type: Full-Time

Experience: 4-9 Years

CTC: Up to 15LPA

About Aaizel Tech

Aaizel Tech is a pioneering tech startup at the intersection of cybersecurity, AI, geospatial solutions, and more. We drive innovation by delivering transformative technology solutions across industries. As a growing startup, we are looking for passionate and versatile professionals eager to work on cutting-edge projects in a dynamic environment.

Role Overview

As a Senior AI/ML Engineer at Aaizel Tech, you will lead the design, development, and deployment of advanced Machine Learning models and AI solutions. You will work on projects ranging from predictive analytics and NLP to computer vision and anomaly detection. You will also mentor a team of AI/ML professionals, collaborate with cross-functional teams, and drive innovation by integrating state-of-the-art research with scalable production systems.

Key Responsibilities

1. Model Development & Optimization

Design & Implementation:

• Architect and develop end-to-end ML solutions for applications such as predictive analytics, anomaly detection, computer vision, and NLP.
• Utilize advanced techniques including deep learning (CNNs, RNNs), reinforcement learning, and generative models (GANs) to address complex challenges.

Optimization:

• Fine-tune model parameters using techniques such as hyperparameter tuning (Grid Search, Bayesian Optimization, Neural Architecture Search).
• Optimize models for both accuracy and inference speed to meet real-time processing requirements.

2. Advanced Data Engineering & Integration

Data Pipeline Development:

• Build robust ETL pipelines using libraries like Pandas, NumPy, and PySpark to process large-scale datasets from satellite imagery, IoT sensors, and real-time streams.
• Integrate data from diverse sources (APIs, databases, big data platforms like Hadoop and Apache Kafka) to support real-time analytics.

Data Quality & Preprocessing:

• Implement data cleansing, feature engineering, and transformation pipelines to ensure high-quality inputs for ML models.

3. Research & Innovation

Algorithm Research:

• Conduct research on state-of-the-art ML techniques including Transfer Learning, Transformer models, and AutoML to enhance model performance.
• Innovate new algorithms for specialized tasks such as geospatial analysis, environmental modeling, or cybersecurity threat detection.

Prototyping & Experimentation:

• Develop proof-of-concept models and prototypes to validate new approaches before production deployment.

4. Deployment, MLOps & Performance Monitoring

Model Deployment:

• Deploy models using containerization (Docker) and orchestration tools (Kubernetes) to ensure scalable and efficient production environments.
• Work with cloud platforms (AWS, Azure, GCP) and model serving solutions (TensorFlow Serving, ONNX, TorchServe) for high-throughput inference.

MLOps & Lifecycle Management:

• Implement CI/CD pipelines for ML models, ensuring seamless updates and versioning.
• Develop monitoring dashboards (using Prometheus, Grafana) to track model performance and trigger retraining based on real-time feedback.

5. Collaboration & Leadership

Cross-Functional Teamwork:

• Collaborate closely with data engineers, software developers, domain experts, and product managers to integrate AI solutions into end-to-end products.

Mentorship & Code Quality:

• Provide technical leadership and mentorship to junior AI/ML engineers, ensuring adherence to coding standards and best practices.
• Participate in code reviews, maintain detailed documentation, and foster a culture of continuous learning.

Recommended Technology Stack

Backend Framework:

• Python (Django/FastAPI): Ideal for API integration, leveraging Python’s rich AI/ML ecosystem.

AI/ML Frameworks:

• PyTorch + Hugging Face Transformers + scikit-learn: For flexibility in research, multilingual NLP tasks, and classical ML pipelines.

Data Engineering:

• Apache Kafka + Apache Spark + Apache NiFi: To handle both real-time data streaming and batch processing.

Database & Storage:

• PostgreSQL with TimescaleDB extension: For structured and time-series data storage.

DevOps & Monitoring:

• Docker, Kubernetes, GitLab CI/CD, Prometheus/Grafana: For containerized deployments, continuous integration, and comprehensive monitoring.

Media Processing:

• OpenCV, FFmpeg, Tesseract OCR, Wav2Vec2: To support image, video, and speech-to-text processing where needed.

Required Skills & Qualifications

Technical Expertise:

• Experience:
• 4+ years in Machine Learning, AI research, or a related field with a proven track record of delivering production-level AI solutions.
• Programming & Frameworks:
• Expertise in Python and hands-on experience with frameworks like PyTorch, TensorFlow, and scikit-learn.
• Experience with Hugging Face Transformers for NLP applications.
• Data Engineering:
• Proficiency in building data pipelines using Pandas, NumPy, PySpark, and integrating data from diverse sources.
• Familiarity with big data platforms and real-time data processing frameworks.
• Model Deployment & MLOps:
• Hands-on experience with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for ML models.
• Experience with cloud deployment and model serving solutions.
• Research & Innovation:
• Demonstrated ability to apply advanced ML techniques (deep learning, transfer learning, reinforcement learning) to solve real-world problems.
• Testing & Optimization:
• Strong background in model evaluation, hyperparameter tuning, and performance optimization.

Soft Skills:

• Exceptional problem-solving and analytical abilities.
• Strong communication skills, with the ability to present complex technical concepts to diverse stakeholders.
• Leadership and mentoring experience, with a collaborative approach to working in cross-functional teams.
• Ability to thrive in a fast-paced, dynamic environment and drive continuous innovation.

Educational Background:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field from a reputed institution.

What We Offer

• Innovative Projects: Engage in cutting-edge AI/ML projects that influence product strategy and technological innovation.
• Professional Growth: Opportunities for continuous learning, mentorship, and career advancement.
• Collaborative Culture: Work within a diverse team of experts passionate about pushing the boundaries of technology.
• Impactful Work: Play a key role in shaping AI-driven solutions and driving real-world impact.

Join Aaizel Tech as a Senior AI/ML Engineer and lead the development of innovative, scalable AI solutions that transform industries and drive digital excellence!

We are looking for an experienced Media and PR Specialist who can help us elevate our brand presence and manage our media relations. The ideal candidate should have a proven track record in the B2B events industry and possess a deep understanding of media strategy and public relations.

Responsibilities & Scope of Work:

1. Media Strategy: Develop and execute a comprehensive media strategy to enhance our brand visibility and reputation within the industry.

2. Press Releases: Draft compelling press releases and news articles to announce company milestones, event launches, and other newsworthy developments.

3. Media Relations: Build and maintain strong relationships with key media outlets, journalists, and industry influencers.

4. Content Creation: Create engaging and informative content for various media channels, including social media, newsletters, and the company blog.

5. Event Promotion: Collaborate with the marketing team to promote our events through media channels, securing coverage and partnerships.

6. Analytics: Monitor and report on media coverage and PR efforts, providing insights and recommendations for continuous improvement.

Requirements and Qualifications

• Bachelor's degree in Communications, Public Relations, or a related field.
• 2+ years of experience in media relations and PR, preferably in the B2B events industry.
• Proven success in securing media coverage and building media relationships.
• Exceptional written and verbal communication skills.
• Strong organizational and project management abilities.
• Proficiency in PR software and analytics tools.
• Creative thinking and the ability to generate innovative PR ideas.

Job Type:

1. Full time & On-site

2. 5 day work week

Location: Bangalore/Mangalore

Link to apply - https://tally.so/r/mDMO5p

Role Overview:

We are looking for a highly motivated and dynamic B2B Sales Executive with experience in the fashion/textile industry. This role involves managing end-to-end sales processes, from lead generation to deal closure and You will work on identifying business needs, conducting sales calls, performing client research, and driving sales growth. A passion for sustainability and knowledge of sustainable practices in the fashion/textile industry is crucial for success in this role.

Key Responsibilities:

B2B Sales & Lead Generation:

• Identify and prospect potential business clients in the fashion/textile industry through lead generation techniques such as cold calling, email outreach, and networking.
• Conduct client research to understand business needs, challenges, and offer tailored solutions.
• Use CRM tools to track, manage, and update sales leads and opportunities.

Sales:

• Conduct sales calls with prospective clients to identify their pain points, needs, and determine the best solutions.
• Define and identify the ideal customer profile (ICP) to ensure targeted outreach and maximize sales opportunities.
• Provide platform demos to showcase our solutions, particularly focusing on sustainability features.

Negotiation & Deal Closure:

• Lead negotiations with clients, managing pricing, contract terms, and implementation timelines.
• Finalize contracts with internal teams, ensuring smooth deal closures and meeting sales targets consistently.

Sustainability Knowledge:

• Leverage knowledge of sustainability practices to educate clients and align solutions with their environmental goals.
• Promote the sustainability features of our products, helping clients reduce their environmental footprint.

Required Skills & Qualifications:

• Experience: 2-4 years of experience in B2B sales within the fashion/textile industry or SaaS sales.
• Sales Skills: Proven experience in end-to-end sales, from lead generation to deal closure.
• Negotiation Skills: Strong ability to negotiate and close deals.
• CRM Tools: Proficiency in CRM platforms to manage leads, contacts, and sales pipelines.
• Sustainability Knowledge: Understanding of sustainability principles, especially as they relate to the fashion/textile sector.
• Client Management: Demonstrated success in client onboarding, relationship management, and customer servicing.
• Communication: Excellent communication, presentation, and negotiation skills.
• Problem-Solving: Ability to handle objections and create solutions that align with client goals.

Preferred Qualifications:

• Education: Bachelor’s degree in Business, Marketing, or a related field.

Industry Knowledge: Experience in selling fashion/textile industry solutions or working with fashion/textile businesses focused on sustainable

Job Description:

• Proficient in software Design and development and familiar with technologies - Java, Java-J2EE, Spring Boot, Ajax, REST API, Micro services etc.
• Working knowledge of any SQL database (MySQL, Oracle etc)
• Working knowledge of No-SQL database (Mongo or Dynamo DB)
• Experience in unit testing using Junit or Mockito
• Experience in designing and architecting systems with high scalability and performance requirements.
• Ability to design infrastructure for performance evaluation and reporting of cloud-based services, namely AWS
• In depth knowledge of key AWS services like EC2, S3, Lambda, CloudWatch etc..
• Certification on AWS architecture desirable
• Excellent communication skills
• Ability to effectively articulate technical challenges and solutions
• Skilled in interfacing with internal and external technical resources
• Good in debugging problems and mentoring teams on technical front

Roles and Responsibilities:

• Participate and contribute in platform requirements/story development.
• Contribute to the design, coding for the requirements/stories and also participate in code and design reviews.
• Develop use cases and do unit test cases and execute them part of continuous integration pipeline.
• 
  

We are a 20-year old IT Services company from Kolkata working in India and abroad. We primarily work as SSP(Software Solutions Partner) and serve some of the leading business houses in the country in various software project implementations specially on  SAP and Oracle platform and also working on Govt & Semi Govt projects as outsourcing partner all over PAN India.

Can be anywhere in India ( Mumbai ,Pune and Kolkata is

preferable)

Machine Learning/Deep Learning experience above 3

years

• Clear and structured thinking and communication

Keywords: Machine Learning, Deep Learning, AI,

Regression, Classification, Clustering, NLP, CNN, RNN,

LSTM, AutoML, k-NN, Naive Bayes, SVM, Decision

Forests

• Understand granular requirement, underlying business

problem and convert to low level design

• Develop analytic process chain with pre-processing,

training, testing, boosting etc.

• Develop the technical deliverable in mcube

(Python/Spark ML/R, H2O/Tensorflow) as per design

• Ensure quality of deliverable (coding standards, data

quality, data reconciliation)

• Proactively reach out for risks to Technical Lead
• Machine Learning, Deep Learning, Regression,

Classification, Clustering, NLP,CNN, RNN

• Expertise in data analysis and analytic programming

(Python/R/ SparkML/Tensorflow)

• Experience in multiple data processing technology

(preferably Pentaho or Spark)

• Basic knowledge in effort estimation, Clear and

structured thinking and communication

• Expertise in testing accuracy of deliverables (model)
• Exposure to Data Modelling and Analysis
• Exposure to information delivery (model outcome

communication)

M.S. / M.Tech/ B.Tech / B.E. (in this order of preference)

• Masters course in Data Science after technical (engineering/

science) degree

DESIRED SKILLS AND EXPERIENCE

 Strong analytical and problem-solving skills

 Ability to work independently, learn quickly and be proactive

 3-5 years overall and at least 1-2 years of hands-on experience in designing and managing DevOps Cloud infrastructure

 Experience must include a combination of:

o Experience working with configuration management tools – Ansible, Chef, Puppet, SaltStack (expertise in at least one tool is a must)

o Ability to write and maintain code in at least one scripting language (Python preferred)

o Practical knowledge of shell scripting

o Cloud knowledge – AWS, VMware vSphere o Good understanding and familiarity with Linux

o Networking knowledge – Firewalls, VPNs, Load Balancers

o Web/Application servers, Nginx, JVM environments

o Virtualization and containers - Xen, KVM, Qemu, Docker, Kubernetes, etc.

o Familiarity with logging systems - Logstash, Elasticsearch, Kibana

o Git, Jenkins, Jira

Technical skills:

1. Working experience in using the any of the design principles MVVM or MVP
2. Experience in using Web Services and SQLite data base
3. Experience in Multithreading  concepts – Rx JAVA
4. Experience in using version control systems like SVN, GIT Hub, Bitbucket etc
5. Experience in using Dependency injection principles in android
6. Experience in using design patterns
7. Experience integration with 3rd party API’s like Facebook, gmail, retrofit, Picasso & 3rd party libraries
8. Experience/Knowledge in using google Flutter