Test Automation Engineer

What You'll Do

• Lead, coach, and manage a team of 2–4 SDRs/BDRs targeting SMB and mid-market accounts in the US, UK, Canada, and Australia
• Own daily standups, outreach targets, pipeline hygiene, and performance reporting
• Execute and iterate multi-channel outbound: cold email, LinkedIn, and cold calling
• Work closely with product champions to deeply understand ICP, value props, and objection handling for Dialaxy
• Build and refine outbound playbooks — sequences, scripts, and qualification frameworks (BANT/MEDDIC-lite)
• Manage lead lists using Apollo, run email sequences via Instantly/Smartlead, and LinkedIn automation via HeyReach
• Report weekly pipeline metrics to founders with honest analysis, not spin
• Hire and onboard additional SDR/BDR profiles as the team scales

What We're Looking For

• 4+ years of B2B SaaS sales experience, with at least 1–2 years in a team lead or senior SDR/BDR capacity
• Proven track record running outbound campaigns into US, UK, or Australian markets
• Strong command of English — written and spoken, client-facing quality
• Hands-on experience with tools like Apollo, HubSpot, Instantly, Smartlead, or equivalent
• High ownership mindset — you care about the number, not just the activity
• Comfortable working in a fast-moving startup with limited process and high autonomy
• Experience in cloud telephony, HR tech, or remote workforce tools is a strong plus

Position Title: Data Scientist

Employment Type: Full-Time

Experience: 3-4 years

Preferred: Male Candidate

Interview Mode: F2F Interview

Working Days: 6 days a week (2nd and 4th Saturday half day and 1st and 3rd Saturday full day)

Job Description

We are seeking a skilled and analytical Data Scientist to join our Team. The ideal candidate will be responsible for analyzing large and complex datasets, developing predictive models, and implementing machine learning algorithms to enhance banking products and business decision-making.

The role involves designing intelligent solutions for fraud detection, automated credit scoring, customer analytics, recommendation systems, and other AI-driven financial applications.

Key Responsibilities

·        Develop, train, and optimize machine learning models for predictive analytics.

·        Perform data mining, statistical analysis, and exploratory data analysis on structured and unstructured datasets.

·        Build scalable AI and machine learning solutions for banking and financial applications.

·        Design and implement fraud detection, credit scoring, and recommendation systems.

·        Collect, process, clean, and validate data to ensure quality and accuracy.

·        Integrate internal and external data sources to improve analytical capabilities.

·        Create automated anomaly detection systems and continuously monitor their performance.

·        Design algorithms to solve business challenges in the banking and financial services domain.

·        Present analytical findings and business insights through reports and dashboards.

·        Collaborate with software developers, business analysts, and product teams to integrate AI solutions into BankSoft products.

Required Skills & Qualifications

• Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, or a related field.
• 3–4 years of experience in Data Science or Machine Learning.
• Strong knowledge of machine learning algorithms such as:
• Decision Trees & Random Forests
• Support Vector Machines (SVM)
• Naïve Bayes
• K-Nearest Neighbors (K-NN)
• Clustering and Classification techniques
• Proficiency in Python and data science libraries such as:
• NumPy
• Pandas
• Scikit-learn
• TensorFlow or PyTorch (preferred)
• Experience with SQL and relational databases.
• Knowledge of NoSQL databases such as MongoDB or Cassandra.
• Strong understanding of statistics, regression analysis, probability distributions, and hypothesis testing.
• Experience with data visualization tools such as Power BI, Tableau, Microsoft SSRS, or Matplotlib.
• Knowledge of AI concepts including predictive analytics and recommendation engines.
• Good programming and scripting skills.
• Strong analytical and problem-solving abilities.
• Excellent communication and presentation skills.

Preferred Skills

• Experience in Banking, Financial Services, or FinTech.
• Knowledge of credit risk modelling, fraud analytics, or customer behaviour analysis.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud is an added advantage.
• Understanding of MLOps and model deployment is desirable.

MUST-HAVES: 

• Machine Learning + Aws + (EKS OR ECS OR Kubernetes) + (Redshift AND Glue) + Sage maker
• Notice period - 0 to 15 days only 
• Hybrid work mode- 3 days office, 2 days at home

SKILLS: AWS, AWS CLOUD, AMAZON REDSHIFT, EKS

ADDITIONAL GUIDELINES:

• Interview process: - 2 Technical round + 1 Client round
• 3 days in office, Hybrid model. 

CORE RESPONSIBILITIES:

• The MLE will design, build, test, and deploy scalable machine learning systems, optimizing model accuracy and efficiency
• Model Development: Algorithms and architectures span traditional statistical methods to deep learning along with employing LLMs in modern frameworks.
• Data Preparation: Prepare, cleanse, and transform data for model training and evaluation.
• Algorithm Implementation: Implement and optimize machine learning algorithms and statistical models.
• System Integration: Integrate models into existing systems and workflows.
• Model Deployment: Deploy models to production environments and monitor performance.
• Collaboration: Work closely with data scientists, software engineers, and other stakeholders.
• Continuous Improvement: Identify areas for improvement in model performance and systems.

SKILLS:

• Programming and Software Engineering: Knowledge of software engineering best practices (version control, testing, CI/CD).
• Data Engineering: Ability to handle data pipelines, data cleaning, and feature engineering. Proficiency in SQL for data manipulation + Kafka, Chaos search logs, etc. for troubleshooting; Other tech touch points are Scylla DB (like BigTable), OpenSearch, Neo4J graph
• Model Deployment and Monitoring: MLOps Experience in deploying ML models to production environments.
• Knowledge of model monitoring and performance evaluation.

REQUIRED EXPERIENCE:

• Amazon SageMaker: Deep understanding of SageMaker's capabilities for building, training, and deploying ML models; understanding of the Sage maker pipeline with ability to analyze gaps and recommend/implement improvements
• AWS Cloud Infrastructure: Familiarity with S3, EC2, Lambda and using these services in ML workflows
• AWS data: Redshift, Glue
• Containerization and Orchestration: Understanding of Docker and Kubernetes, and their implementation within AWS (EKS, ECS)

Company information:

At LogixHealth, we're making intelligence matter throughout healthcare. LogixHealth has over two decades of experience providing full service coding, billing and revenue cycle solutions for emergency departments, hospitals and physician practices for millions of visits annually. LogixHealth provides ongoing coding, claims management and the latest business intelligence analytics for clients in over 40 states. For more information.

Role overview

Knowledge and Skill Sets:

·         Office 365 Administration: Expertise in managing Office 365 services, including Exchange Online, SharePoint Online, Teams, and OneDrive.

·         Intune Administration: Proficiency in Microsoft Intune, including device management, policy enforcement, and application deployment.

·         Experience with virtualization platforms (Citrix, Nutanix, VMware, Hyper-V, etc.).

·         Should have exposure to IaC and Terraform/Ansible

·         Data Center Operations (DCO) and NOC Support: Experience in supporting DCO and NOC operations, with the ability to troubleshoot and resolve issues in a 24/7 environment.

·         PowerShell and Scripting: Ability to create and use PowerShell scripts and other tools to automate tasks within Office 365 and Intune environments.

·         Automation and IaC: Knowledge related to ansible, terraform and devops framework

·         Security and Compliance: In-depth knowledge of security features in Office 365 and Intune, including MFA, DLP, and compliance tools.

·         Backup and Recovery: Understanding of backup solutions for Office 365 data and disaster recovery planning.

·         Monitoring Tools: Familiarity with monitoring tools for tracking the health and performance of Office 365 and Intune services.

·         Communication: Strong communication skills for providing technical support and collaborating with IT teams.

·         Documentation: Ability to create detailed documentation and training resources.

·         24/7 Availability: Commitment to providing round-the-clock support for critical Office 365 and Intune services.

What would you do here

Job Purpose:

The Collaboration tools Administrator is responsible for managing and maintaining the organization's Office 365, MS teams, Intune, SharePoint, Defender, MDM and IAM environments while supporting Data Center Operations (DCO) activities. The position requires 24/7 availability to support critical operations and respond promptly to incidents.

Role Description:

·         Office 365 Administration: Manage and maintain Office 365 services, including user accounts, licenses, permissions, and configurations for Exchange Online, SharePoint Online, Teams, and OneDrive.

·         Intune Administration: Oversee the administration of Microsoft Intune, including device enrollment, configuration policies, application deployment, and mobile device management (MDM) to ensure secure access to corporate resources.

·         Security and Compliance: Implement and manage security measures within Office 365 and Intune, including multi-factor authentication (MFA), Data Loss Prevention (DLP), and compliance policies to protect data and meet regulatory requirements.

·         Incident Response: Provide 24/7 on-call support for Office 365 and Intune-related incidents, ensuring quick resolution to minimize downtime and disruption.

·         User Support: Offer technical support and troubleshooting for end-users, addressing issues related to Office 365, Intune, and other integrated services.

·         Monitoring and Reporting: Continuously monitor the performance, security, and compliance of Office 365 and Intune services, generating regular reports on system health and usage.

·         Automation and Scripting: Utilize PowerShell and other scripting tools to automate administrative tasks and improve operational efficiency within Office 365 and Intune environments.

·         Backup and Recovery: Manage backup solutions for Office 365 data and participate in disaster recovery planning and execution to ensure business continuity.

·         Documentation and Training: Develop and maintain detailed documentation of configurations, procedures, and best practices, and provide training to IT staff and end-users.

Key Deliverables:

·         Reliable and secure operation of Office 365 and Intune services as part of the overall IT infrastructure.

·         Effective integration of Office 365 and Intune with DCO and NOC operations.

·         Timely incident response and resolution to ensure 24/7 availability of critical services.

·         Efficient management of user accounts, licenses, and security settings within Office 365 and Intune.

·         Regular monitoring, reporting, and auditing of Office 365 and Intune performance and security.

·         Comprehensive documentation and training materials for internal use.

Thanks!

Job Description

As an IT Sales Intern, you will be an integral part of our sales team, focusing on field

sales activities. This internship is designed to provide you with hands-on experience in

IT sales, client engagement, and sales strategy. You will have the

opportunity to learn from experienced professionals and contribute to our growth in a

dynamic industry.

Responsibilities

• Identify potential clients through research, networking, and market analysis to
• create a pipeline of leads.
• Develop and maintain relationships with prospective and existing clients by
• providing information on services.
• Develop a deep understanding of our cybersecurity services to effectively
• communicate their value propositions to clients.
• Prepare and deliver compelling sales presentations to showcase our IT solutions
• and address client needs.
• Assist in preparing sales proposals, quotes, and contracts while collaborating
• with the sales team.
• Perform various tasks, such as organizing sales documents, maintaining sales
• records, and scheduling appointments.
• Analyze sales data to identify trends, opportunities, and areas for improvement.
• This may involve creating reports and presentations to share insights with the
• sales team.
• Actively participate in training sessions and workshops to enhance your
• knowledge of IT services.

Candidate Skills

• Strong communication and interpersonal skills.
• Eagerness to learn and adapt in a fast-paced environment.
• Ability to work independently and as part of a team.
• Basic understanding of IT concepts and technology trends (preferred).
• Previous sales or customer service experience (preferred)..

Qualifications

• Candidate must have a degree in the field of business administration.
• Any vendor natural business development training and certification will be preferred.

Benefits

• Hands-on experience in the cybersecurity industry.
• Training and mentorship from experienced professionals.
• Opportunity to develop valuable sales and business development skills

Salary Package: Performance based

Job Type: Full time (In office)

Start Date: Immediate

Documents Requirement: Previous Internship Experience Letter (if any), ID Proof, Internship job offer letter (if any), Updated CV, Last qualification certificate.

We are hiring Front End Developers 2+ years Experience- Mid to Senior Level at Displaysweet (www.Displaysweet.com)

Technical Qualities Required:

Experience working on web applications based on Vue.js or Angular or React 

Solid knowledge of fundamental web technologies such as REST, HTML, CSS and JavaScript (ES2015+)

Interest in using Vue.js and its associated concepts to build a scalable web application

Great working knowledge of Git

A team-player, willing to help others through code review and pair programming

Open minded and always willing to further your own learnings

Quality oriented, a solid eye for detail, and good knowledge of data structures & algorithms

Bonus skills :

Experience with Hybrid/Native App development, NativeScript/React Native, Cloud Services (Firestore, AWS)

Excellent communicator

About the Company

DisplaySweet (www.displaysweet.com) is an innovative PropTech company creating world-class interactive experiences and sales software for the off the plan property industry.

Our core software is a content-rich sales presentation system designed specifically for property developers, agents and buyers.

Over the past 7 years, we have led the industry, transforming it to a digital platform, recently winning an industry award for the best property technology company in Australia. Our portfolio of clients includes some of the largest developers across Australia. 

“Key skills”

“Key skills”

• Who has a good command in English?
• Should be a Good Team Player with a High Learning Attitude
• Want to learn new things and advance level of SEO.

“Responsibilities and Duties”

• Handling ON job SEO tasks.
• Improve a company's projects organic search results.
• Place keywords appropriately to gain the most search engine traffic.
• Handle multiple social media platforms.

• Who has a good command in English?
• Should be a Good Team Player with a High Learning Attitude
• Want to learn new things and advance level of SEO.