Entrepreneurs in Residence

Business Analyst (EDI Domain)

Role Summary:

Acts as the bridge between business users and the technical team, gathering requirements and ensuring alignment with migration goals.

Key Responsibilities:

• Document functional requirements for EDI migration.
• Analyze customer-specific configurations and needs.
• Facilitate workshops with SMEs and stakeholders.
• Validate technical solutions against business expectations.
• Support change management and training.

Skills Required:

• Experience in logistics and transportation EDI systems.
• Strong understanding of customer-specific EDI needs.
• Requirements gathering and documentation skills.
• Excellent stakeholder communication and facilitation skills.

Familiarity with process mapping tools.

·        Development and formulation of water-based interior and exterior waterproof decorative paints, ensuring performance, aesthetics, and regulatory compliance.

·        Testing of paint formulations to ensure they meet company quality standards and performance criteria.

·        Work closely with the production team to ensure smooth scale-up of formulations from laboratories to commercial production.

·        Stay up to date with industry trends. Provide recommendations for new product development based on market insights and consumer demand. Conduct competitive analysis to identify potential opportunities for new or improved product offerings.

·        Provide technical support to the sales team regarding product performance, application methods, and troubleshooting. Address and resolve customer query in a timely and professional manner.

·        Maintain accurate records of all product formulations and testing data. Prepare detailed technical reports on new product developments, performance testing, and quality control results.

Knowledge of paint formulations, Testing, pigments, and Emulsion

Complaint handling, root cause analysis and resolutions

About The Role

We are seeking a talented and driven SEO and Copywriting Specialist to join our small but mighty marketing team. In this role, you will be responsible for creating compelling, high-quality written content that aligns with SEO best practices, driving both organic traffic and engagement. You will work closely with the marketing team and our business leaders to optimize content for search engines while maintaining a clear and consistent brand voice across all digital platforms.

Key Responsibilities:

• SEO Strategy & Implementation:
• Conduct keyword research to identify high-traffic, relevant keywords and phrases.
• Optimize on-page SEO elements, including title tags, meta descriptions, headers, and images.
• Perform regular audits of website content to ensure it aligns with SEO best practices and make necessary updates.
• Track and analyse SEO performance metrics, including search rankings, organic traffic, and conversion rates, using tools like Google Analytics and SEMrush
• Copywriting & Content Creation:
• Write engaging, high-quality copy for website landing pages, email campaigns, social media posts, and more
• Craft compelling headlines, CTAs, and persuasive copy that enhances user experience and drives conversions.
• Contribute creative ideas for campaign development
• Ensure all content aligns with the organisation's mission and value
• Content Optimization:
• Edit and proofread copy to ensure it is grammatically correct, clear, and aligned with the brand voice.
• Implement best practices for content formatting, including keyword placement, internal linking, and content structure, to improve SEO ranking.
• Stay up to date with industry trends, search engine algorithm updates, and content marketing best practices to continuously improve content strategies.
• Reporting & Analysis:
• Prepare regular reports on SEO and content performance, analysing key metrics and identifying areas for improvement.
• Utilize A/B testing to optimize the effectiveness of content and landing pages.

Key Skills and Qualifications:

·      Proven experience (1-3 years) in SEO, copywriting, or content marketing.

• Strong understanding of SEO principles and techniques, including keyword research, on-page SEO, and technical SEO.
• Proficient in using SEO tools such as Google Analytics and SEMrush
• Excellent writing, editing, and proofreading skills with a keen eye for detail.
• Ability to write clear, concise, and engaging content tailored to different audiences.
• Familiarity with content management systems (e.g., WordPress) and basic HTML.
• Strong communication skills, both verbal and written.
• Ability to work independently and manage multiple projects simultaneously.

Job Description: 

Machine Learning / AI Engineer (with 3+ years of experience)

We are seeking a highly skilled and passionate Machine Learning / AI Engineer to join our newly established data science practice area. In this role, you will primarily focus on working with Large Language Models (LLMs) and contribute to building generative AI applications. This position offers an exciting opportunity to shape the future of AI technology while charting an interesting career path within our organization.

Responsibilities:

1. Develop and implement machine learning models: Utilize your expertise in machine learning and artificial intelligence to design, develop, and deploy cutting-edge models, with a particular emphasis on Large Language Models (LLMs). Apply your knowledge to solve complex problems and optimize performance.

2. Building generative AI applications: Collaborate with cross-functional teams to conceptualize, design, and build innovative generative AI applications. Work on projects that push the boundaries of AI technology and deliver impactful solutions to real-world problems.

3. Data preprocessing and analysis: Collect, clean, and preprocess large volumes of data for training and evaluation purposes. Conduct exploratory data analysis to gain insights and identify patterns that can enhance the performance of AI models.

4. Model training and evaluation: Develop robust training pipelines for machine learning models, incorporating best practices in model selection, feature engineering, and hyperparameter tuning. Evaluate model performance using appropriate metrics and iterate on the models to improve accuracy and efficiency.

5. Research and stay up to date: Keep abreast of the latest advancements in machine learning, natural language processing, and generative AI. Stay informed about industry trends, emerging techniques, and open-source libraries, and apply relevant findings to enhance the team's capabilities.

6. Collaborate and communicate effectively: Work closely with a multidisciplinary team of data scientists, software engineers, and domain experts to drive AI initiatives. Clearly communicate complex technical concepts and findings to both technical and non-technical stakeholders.

7. Experimentation and prototyping: Explore novel ideas, experiment with new algorithms, and prototype innovative solutions. Foster a culture of innovation and contribute to the continuous improvement of AI methodologies and practices within the organization.

Requirements:

1. Education: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Relevant certifications in machine learning, deep learning, or AI are a plus.

2. Experience: A minimum of 3+ years of professional experience as a Machine Learning / AI Engineer, with a proven track record of developing and deploying machine learning models in real-world applications.

3. Strong programming skills: Proficiency in Python and experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, pandas). Experience with cloud platforms (e.g., AWS, Azure, GCP) for model deployment is preferred.

4. Deep-learning expertise: Strong understanding of deep learning architectures (e.g., convolutional neural networks, recurrent neural networks, transformers) and familiarity with Large Language Models (LLMs) such as GPT-3, GPT-4, or equivalent.

5. Natural Language Processing (NLP) knowledge: Familiarity with NLP techniques, including tokenization, word embeddings, named entity recognition, sentiment analysis, text classification, and language generation.

6. Data manipulation and preprocessing skills: Proficiency in data manipulation using SQL and experience with data preprocessing techniques (e.g., cleaning, normalization, feature engineering). Familiarity with big data tools (e.g., Spark) is a plus.

7. Problem-solving and analytical thinking: Strong analytical and problem-solving abilities, with a keen eye for detail. Demonstrated experience in translating complex business requirements into practical machine learning solutions.

8. Communication and collaboration: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to diverse stakeholders