Data Scientist

IT Compliance Manager – Web3 & Digital Assets

📍 Location: Dubai, UAE

💼 Employment Type: Full-Time

🏢 Department: Technology / Compliance

📊 Experience: 5+ Years

🌐 Industry: FinTech / Web3 / Digital Assets

About the Role

We are looking for an experienced IT Compliance Manager – Web3 & Digital Assets to lead technology compliance, IT governance, risk management, and cybersecurity controls within a regulated FinTech and digital-asset environment.

The ideal candidate will have strong experience in IT GRC, technology risk, cybersecurity governance, Web3/blockchain, digital assets, and regulatory compliance, with UAE regulatory experience being highly preferred.

Key Responsibilities

• Manage IT governance, compliance frameworks, policies, procedures, and technology risk assessments.
• Support compliance with UAE virtual asset and financial-services regulations, including VARA, DFSA, FSRA, and UAE Central Bank requirements, where applicable.
• Assess technology risks across blockchain infrastructure, crypto wallets, custody, APIs, cloud platforms, databases, smart contracts, and dApps.
• Review controls related to crypto deposits, withdrawals, transfers, wallet operations, and transaction monitoring.
• Develop and monitor controls aligned with ISO 27001, SOC 2, NIST, PCI DSS, and relevant regulatory requirements.
• Coordinate IT audits, regulatory audits, compliance assessments, evidence collection, and remediation activities.
• Maintain technology risk registers, control assessments, compliance reports, and management dashboards.
• Partner with Engineering, Product, Security, Legal, Risk, AML/KYC, Finance, and Operations teams.
• Embed compliance and technology-risk requirements into product development, system changes, and technology architecture.
• Support regulatory licensing, assessments, and ongoing compliance requirements for digital-asset services.

Requirements

• Bachelor's degree in IT, Computer Science, Cybersecurity, Finance, Risk Management, or a related discipline.
• 5+ years of experience in IT Compliance, IT GRC, Technology Risk, Cybersecurity Governance, or a related field.
• Experience in FinTech, banking, payments, cryptocurrency, blockchain, digital assets, or financial services.
• Strong understanding of Web3, blockchain networks, crypto wallets, digital-asset transactions, custody, and smart-contract risks.
• Hands-on experience with IT governance, risk assessments, control testing, audits, and compliance frameworks.
• Strong knowledge of ISO 27001, SOC 2, NIST, PCI DSS, ITGC, or similar frameworks.
• Experience working with auditors, regulators, and cross-functional technology teams.
• Strong analytical, documentation, communication, and stakeholder-management skills.

UAE / Web3 Experience – Preferred

• Experience with VARA, DFSA, FSRA, UAE Central Bank, or other UAE financial regulators.
• Experience supporting VASP licensing or regulatory approvals.
• Previous experience in crypto exchanges, digital-asset platforms, blockchain companies, Web3 startups, or FinTech organizations.
• Understanding of AML/KYC, transaction monitoring, custody, wallet security, and digital-asset controls.

Preferred Certifications

• CISA
• CISM
• CISSP
• CRISC
• ISO 27001 Lead Auditor / Lead Implementer
• CAMS

Key Skills

IT GRC | IT Compliance | Technology Risk | Web3 Governance | Blockchain Risk | Digital Asset Compliance | VASP Licensing | UAE Regulatory Compliance | ITGC | Cybersecurity Governance | ISO 27001 | SOC 2 | NIST | PCI DSS | IT Audit | Risk Assessment | Crypto Transaction Monitoring | Stakeholder Management

Marketing Manager

Job Overview:

We are looking for an experienced, proactive, and self-driven Marketing Manager who can independently

manage and execute the overall marketing function. This role requires a strong understanding of both

traditional and digital marketing, combined with the ability to plan, implement, and monitor marketing

activities end-to-end.

The ideal candidate will take full ownership of marketing initiatives, coordinate with internal teams, and

drive brand visibility, lead generation, and marketing performance with minimal supervision.

Key Responsibilities:

1. Marketing Strategy & Execution (Core Responsibility)

• Develop and execute quarterly and annual marketing plans.

• Plan and implement campaigns for product promotion, lead generation, and brand building.

• Ensure consistent branding and messaging across all channels.

• Collaborate with sales, product, and leadership teams to align marketing initiatives with business

goals.

2. Digital Marketing (Part of the Role)

PPC & Lead Generation

• Plan, manage, and optimise Google Ads and other paid campaigns.

• Track performance metrics (CTR, CPC, CPA, conversions, ROI) and refine campaigns.

• Develop effective ad copies and assist with landing page enhancements.

SEO & Website Management

• Implement on-page/off-page SEO strategies to improve organic search visibility.

• Conduct keyword research, optimise content, and review analytics.

• Coordinate with design/content teams to ensure SEO standards are met.

3. Brand, Content & Communication

• Oversee the creation of marketing content — blogs, emails, social posts, brochures, case studies,

videos, and presentations.

• Maintain brand guidelines and ensure cohesive communication across the organisation.

• Work with internal and external creative teams for design and content execution.

4. Exhibitions, Events & Offline Marketing

• Lead planning and execution of marketing for exhibitions and trade shows.

• Support stall layout planning, branding materials, and event promotions.

• Manage lead handling and coordination before, during, and after events.

5. Lead Management & CRM Collaboration

• Ensure prompt assignment of incoming leads to the respective territory managers.

• Track lead flow, progress, and campaign effectiveness.

• Work closely with the sales team to improve follow-up quality and conversion tracking.

6. Market Research & Data Management

• Conduct competitive research, pricing insights, and industry analysis.

• Prepare scraping data and market intelligence reports.

• Support management with MIS and performance dashboards.

7. Performance Analysis & Reporting

• Monitor marketing KPIs across both digital and offline activities.

• Prepare regular performance reports with insights and improvement suggestions.

• Conduct A/B tests and track results for continuous optimisation.

Requirements:

• Excellent communication, planning, and coordination skills.

• 10+ years of experience in a marketing role (preferably B2B).

• Strong understanding of digital marketing (PPC, SEO, analytics).

• Ability to independently manage marketing activities with high ownership.

• Proficiency in tools: Google Ads, Analytics, Search Console, MS Office, CRM systems.

• Understanding of website platforms (WordPress, CMS tools).

• Ability to manage multiple projects and meet deadlines.

Desirable Skills:

• Experience with LinkedIn, Facebook, and Instagram marketing.

• Knowledge of email marketing tools or automation platforms.

• Creative thinking and copywriting ability.

• Google certifications are an added advantage.

Qualifications:

• Degree in Marketing, Business, Communications, IT, or a related field.

We are looking for an experienced, proactive, and self-driven Marketing Manager who can independently

manage and execute the overall marketing function. This role requires a strong understanding of both

traditional and digital marketing, combined with the ability to plan, implement, and monitor marketing

activities end-to-end.

The ideal candidate will take full ownership of marketing initiatives, coordinate with internal teams, and

drive brand visibility, lead generation, and marketing performance with minimal supervision.

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 Name : LMES Academy Private Limited

Website : https://lmes.in/

Linkedin : https://www.linkedin.com/company/lmes-academy/mycompany/

Role : Machine Learning Engineer

Experience: 2 Year to 4 Years

Location: Urapakkam, Chennai, Tamil Nadu.

Job Overview:

We are looking for a Machine Learning Engineer to join our team and help us advance our AI capabilities.

Requirements 

• Model Training and Fine-Tuning: Utilize and refine large language models using techniques such as distillation and supervised fine-tuning to enhance performance and efficiency.

• Retrieval-Augmented Generation (RAG): Good understanding on RAG systems to improve the quality and relevance of generated content.

• Vector Databases: Familiar with vector databases to support fast and accurate similarity searches and other ML-driven functionalities.

• API Integration: Good in REST APIs and integrate third-party APIs, including Open AI, Google Vertex, and Cloudflare Workers AI, to extend our AI capabilities.

• Generative AI: Experience with generative AI applications, including text-to-image, speech recognition, and text-to-speech systems.

• Collaboration: Work collaboratively with cross-functional teams, including data scientists, developers, and product managers, to deliver innovative AI solutions.

• Adaptability: Thrive in a fast-paced environment with loosely defined tasks and competing priorities, ensuring timely delivery of high-quality results.

Strong sales executive profile

Mandatory (Experience 1): Must have 7+ years of hands-on B2B sales experience, preferably selling SaaS products or platforms

Mandatory (Experience 2): Must have experience in doing end to end Hunting / New Business Acquisition, including prospecting, pitching, negotiation, and deal closure

Mandatory (Experience 3): Must have experience of managing the complete sales cycle independently — research, outreach, client meetings, solution pitching, proposal handling, and closing.

Mandatory (Experience 4): Strong communication, presentation, negotiation, and objection-handling skills with experience engaging with mid to senior-level stakeholders

Mandatory (Experience 5): Experience in pipeline building & CRM usage, maintaining accurate forecasts, sales funnel tracking, and performance reporting.

Mandatory (Company): B2B SaaS Product comPreferred Companies

Salesforce, Oracle, Zoho CRM, Keka, Zaggle, Pine Labs (non-prepaid card roles only), Advantage Club, Reward Gatewaypanies

Salesforce DevOps/Release Engineer

Resource type - Salesforce DevOps/Release Engineer

Experience - 5 to 8 years

Norms - PF & UAN mandatory

Resource Availability - Immediate or Joining time in less than 15 days

Job - Remote

Shift timings - UK timing (1pm to 10 pm or 2pm to 11pm)

Required Experience:

• 5–6 years of hands-on experience in Salesforce DevOps, release engineering, or deployment management.
• Strong expertise in Salesforce deployment processes, including CI/CD pipelines.
• Significant hands-on experience with at least two of the following tools: Gearset, Copado,Flosum.
• Solid understanding of Salesforce architecture, metadata, and development lifecycle.
• Familiarity with version control systems (e.g., Git) and agile methodologies

Key Responsibilities:

• Design, implement, and manage CI/CD pipelines for Salesforce deployments using Gearset, Copado, or Flosum.
• Automate and optimize deployment processes to ensure efficient, reliable, and repeatable releases across Salesforce environments.
• Collaborate with development, QA, and operations teams to gather requirements and ensurealignment of deployment strategies.
• Monitor, troubleshoot, and resolve deployment and release issues.
• Maintain documentation for deployment processes and provide training on best practices.
• Stay updated on the latest Salesforce DevOps tools, features, and best practices.

Technical Skills:

• Deployment ToolsHands-on with Gearset, Copado, Flosum for Salesforce deployments
• CI/CDBuilding and maintaining pipelines, automation, and release management
• Version ControlProficiency with Git and related workflows
• Salesforce PlatformUnderstanding of metadata, SFDX, and environment management
• Scripting
• Familiarity with scripting (e.g., Shell, Python) for automation (preferred)
• Communication
• Strong written and verbal communication skills

Preferred Qualifications:

Bachelor’s degree in Computer Science, Information Technology, or related field.

Certifications:

Salesforce certifications (e.g., Salesforce Administrator, Platform Developer I/II) are a plus.

Experience with additional DevOps tools (Jenkins, GitLab, Azure DevOps) is beneficial.

Experience with Salesforce DX and deployment strategies for large-scale orgs. 

• Candidate should have good Platform experience on Azure with Terraform.
• The devops engineer  needs to help developers, create the Pipelines and K8s Deployment Manifests.
• Good to have experience on migrating data from (AWS) to Azure. 
• To manage/automate infrastructure automatically using Terraforms. Jenkins is the key CI/CD tool which we uses and it will be used to run these Terraforms.
• VMs to be provisioned on Azure Cloud and managed.
• Good hands on experience of Networking on Cloud is required.
• Ability to setup Database on VM as well as managed DB and Proper set up of cloud hosted microservices needs to be done to communicate with the db services.
• Kubernetes, Storage, KeyValult, Networking(load balancing and routing) and VMs are the key infrastructure expertise which are essential. 
• Requirement is  to administer Kubernetes cluster end to end. (Application deployment, managing namespaces, load balancing, policy setup, using blue-green/canary deployment models etc).
• The experience in AWS is desirable 
• Python experience is optional however Power shell is mandatory
• Know-how on the use of GitHub