Digital Marketer

Key Responsibilities:

Design, develop, and optimize scalable data pipelines and ETL processes.

Work with large datasets using GCP services like BigQuery, Dataflow, and Cloud Storage.

Implement real-time data streaming and processing solutions using Pub/Sub and Dataproc.

Collaborate with cross-functional teams to ensure data quality and governance.

Technical Requirements:

4+ years of experience in Data Engineering.

Strong expertise in GCP services like Workflow,tensorflow, Dataproc, and Cloud Storage.

Proficiency in SQL and programming languages such as Python or Java

.Experience in designing and implementing data pipelines

and working with real-time data processing.

Familiarity with CI/CD pipelines and cloud security best practices.

Duties

About Us:

We are a UK-based conveyancing firm dedicated to transforming property transactions through cutting-edge artificial intelligence. We are seeking a talented Machine Learning Engineer with 1–2 years of experience to join our growing AI team. This role offers a unique opportunity to work on scalable ML systems and Generative AI applications in a dynamic and impactful environment.

Responsibilities:

Design, Build, and Deploy Scalable ML Models

You will be responsible for end-to-end development of machine learning and deep learning models that can be scaled to handle real-world data and use cases. This includes training, testing, validating, and deploying models efficiently in production environments.

Develop NLP-Based Automation Solutions

You'll create natural language processing pipelines that automate tasks such as document understanding, text classification, and summarisation, enabling intelligent handling of property-related documents.

Prototype and Implement Generative AI Tools

Work closely with AI researchers and developers to experiment with and implement Generative AI techniques for tasks like content generation, intelligent suggestions, and workflow automation.

Integrate ML Models with APIs and Tools

Integrate machine learning models with external APIs and internal systems to support business operations and enhance customer service workflows.

Maintain CI/CD for ML Features

Collaborate with DevOps teams to manage CI/CD pipelines that automate testing, validation, and deployment of ML features and updates.

Review, Debug, and Optimise Models

Participate in thorough code reviews and model debugging sessions. Continuously monitor and fine-tune deployed models to improve their performance and reliability.

Cross-Team Communication

Communicate technical concepts effectively across teams, translating complex ML ideas into actionable business value.

·      Design, build, and deploy scalable ML and deep learning models for real-world applications.

·      Develop NLP-based and Gen AI based solutions for automating document understanding, classification, and summarisation.

·      Collaborate with AI researchers and developers to prototype and implement Generative AI tools.

·      Integrate ML and Gen AI models with APIs and internal tools to support business operations.

·      Work with CI/CD pipelines to ensure continuous delivery of ML features and updates.

·      Participate in code reviews, debugging, and performance optimisation of deployed models.

·      Communicate technical concepts effectively across cross-functional teams.

Essentials From Day 1:

Security and Compliance:

         • Ensure ML systems are built with GDPR compliance in mind.

         • Adhere to RBAC policies and maintain secure handling of personal and property         data.

Sandboxing and Risk Management:

         • Use sandboxed environments for testing new ML features.

         • Conduct basic risk analysis for model performance and data bias.

         • Use sandboxed environments for testing and development.

         • Evaluate and mitigate potential risks in model behavior and data pipelines

Qualifications:

·      1–2 years of professional experience in Machine Learning and Deep Learning projects.

·      Proficient in Python, Object-Oriented Programming (OOPs), and Data Structures & Algorithms (DSA).

·      Strong understanding of NLP and its real-world applications.

·      Exposure to building scalable ML systems and deploying models into production.

·      Basic working knowledge of Generative AI techniques and frameworks.

·      Familiarity with CI/CD tools and experience with API-based integration.

·      Excellent analytical thinking and debugging capabilities.

·      Strong interpersonal and communication skills for effective team collaboration.

Qualifications

• someone has IT/technical background to improve the IT operations
• Account Management and Sales skills
• Experience in Sales Management
• Digital Media and Digital Marketing skills
• Excellent communication and interpersonal skills
• Ability to build and maintain relationships with clients
• Knowledge of e-commerce and online marketing
• Strong analytical and problem-solving skills

Role Description:

This is a full-time on-site role for a Digital Sales Manager at Bigpage. The Digital Sales Manager will be responsible for selling software, website design, Facebook marketing, SEO, PPC, Social media, digital media, and digital marketing.

The role involves day-to-day tasks such as creating and implementing sales strategies, maintaining client relationships, and utilizing digital marketing techniques to drive sales.

• Prepare sales proposal with quality and concise information
• Follow up the prospects on a regular basis to increase the sales
• Build a strong communication process for team and clients
• Weekly or Biweekly training and coaching to improve communication, sales and after sales
• Build a 30, 90 and 180 days plan to improve the new sales pipelines and renewals
• Report to management with actionable insights (i.e: Critical business issues, opportunities, key actions need to be taken, etc.) on regularly basis

Greetings from colan infotech!!!

Sale company products to customers over phone, email etc

Qualififcation - any graduate

• Prepare, rewrite and edit copy to improve readability, or supervise others who do this work.
• Read copy or proof to detect and correct errors in spelling, punctuation, and syntax
• Plan the contents of publications according to the publication's style, editorial policy, and publishing requirements.
• Verify facts, dates, and statistics, using standard reference sources.
• Review and approve proofs submitted by composing room prior to publication production.
• Read, evaluate and edit manuscripts or other materials submitted for publication and confer with authors regarding changes in content, style or organization, or publication.
• Make manuscript acceptance or revision recommendations to the publisher.

Experience

• Able to perform edit/proofread independently and make the work done by the team members delivery ready
• Graduation / Post Graduation (Bsc/Msc) especially English savvy candidates with English, journalism. Excellent written communication skills Ability to structure sentences well.
• Postgraduate in any field of science/humanities; good command over the English language; an eye for detail; exposure to various style guides; readiness to meet daily/monthly productivity targets; and maintaining the expected quality norms

Desirable

• Good communication skills; team player; problem-solving skills; proactive and innovative
• Mandatorily must have experience in Language Editing, Level-2, Medical Journal, and also knowledge about QC.