Careers

Your Key Responsibilities

• Design, develop, and optimise NLP models for applications like chatbots, virtual assistants, and text analytics.
• Develop and implement Generative AI models and algorithms using advanced techniques such as GPT, Variational Autoencoders (VAE), and Generative Adversarial Networks (GANs).
• Conduct research to stay current with the latest advancements in Generative AI, Machine Learning (ML), and Deep Learning (DL) and identify opportunities to integrate them into our products and services.
• Fine-tune and deploy pre-trained models (e.g., GPT, BERT, T5) for specific tasks.
• Build and maintain data pipelines for preprocessing, feature extraction, and model evaluation.
• Develop clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.
• Collaborate with cross-functional teams to design AI-driven solutions that meet business objectives.
• Contribute to the establishment of best practices and standards for generative AI development within the organisation.
• Provide technical mentorship and guidance to junior team members.
• Ensure scalability and robustness of deployed models in production environments.

Requirements

Technical Skills

• Expertise in Machine Learning (ML), Deep Learning (DL), and Natural Language Processing (NLP).
• Proficiency in developing and implementing Generative AI techniques such as RAGs, GPT, VAE, and GANs.
• Strong programming skills in Python, with experience in frameworks like PyTorch or TensorFlow.
• Familiarity with NLP libraries (Hugging Face, SpaCy, NLTK) and GenAI tools.
• Knowledge of cloud platforms (AWS, Azure, GCP) and MLOps practices.
• Experience with vector databases like FAISS or Pinecone.
• Strong understanding of algorithms, data structures, and optimization techniques.

Soft Skills

• Expertise in Machine Learning (ML), Deep Learning (DL), and Natural Language Processing (NLP).
• Proficiency in developing and implementing Generative AI techniques such as RAGs, GPT, VAE, and GANs.
• Strong programming skills in Python, with experience in frameworks like PyTorch or TensorFlow.
• Familiarity with NLP libraries (Hugging Face, SpaCy, NLTK) and GenAI tools.
• Knowledge of cloud platforms (AWS, Azure, GCP) and MLOps practices.
• Experience with vector databases like FAISS or Pinecone.
• Strong understanding of algorithms, data structures, and optimization techniques.

Educational Background

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

Preferred Qualifications

• Hands-on experience with large-scale language models, fine-tuning, and prompt engineering.
• Familiarity with MLOps tools such as Docker, Kubernetes, and CI/CD pipelines.
• Exposure to real-time NLP applications like voice assistants and TTS systems.
• Proven track record of developing innovative AI solutions in production environments.

Why Join Us?

• Be part of a team at the forefront of NLP and Generative AI innovation.
• Competitive salary and benefits package.
• Opportunities for professional growth and technical mentorship.
• Flexibility in working arrangements and the chance to impact real-world AI solutions.

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Key Responsibilities

1. Optimization Problem-Solving:

• Develop and implement mathematical models/ Genetic Computational Models/ Reinforcement Algorithms for space optimization problems.
• Apply optimization techniques to maximise space utilisation while adhering to specific constraints (e.g., weight, dimension, arrangement rules).

2. Constraint Management:

• Identify and incorporate constraints such as safety standards, weight distribution, and accessibility into optimization solutions.
• Design solutions to minimise risks (e.g., damage, inefficiencies) while adhering to constraints.

3. Mathematical Modelling:

• Use advanced mathematical techniques to design, test, and refine optimization algorithms.
• Analyse problem statements and propose efficient, scalable solutions.

4. Data-Driven Insights:

• Analyse spatial data to identify optimization opportunities.
• Generate meaningful insights from simulations and real-world tests.

5. Collaboration and Reporting:

• Collaborate with cross-functional teams to gather requirements and deliver optimised layouts and plans.
• Prepare clear and concise reports or visualisations to communicate results and methodologies to stakeholders.

Qualifications and Skills

Required:

• Bachelor’s degree in Computer Science, or a related field.
• Strong understanding of optimization techniques such as heuristic algorithms, Genetic Algorithms, or Reinforcement Algorithms.
• Proficiency in mathematical tools Python.
• Solid grasp of spatial reasoning and geometric principles.
• Ability to solve complex problems using structured and logical approaches.

Preferred:

• Basic knowledge of data science concepts such as data preprocessing, statistical analysis., Machine Learning Algorithms, Deep-learning, Reinforcement Learning
• Experience with tools like Pandas, NumPy, scikit-learn, or TensorFlow.
• Familiarity with container packing, or related optimization scenarios.
• Strong communication skills to articulate technical solutions to non-technical stakeholders.

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Key Responsibilities

• Develop, test, and maintain web applications with clean and scalable code.
• Work on both front-end (React, Angular, or Vue.js) and back-end (Node.js, Python, or Java) development.
• Integrate and manage cloud services using AWS, including deployment and monitoring.
• Collaborate with designers and other team members to implement UI/UX designs effectively.
• Design and optimize databases (SQL/NoSQL) for application requirements.
• Participate in troubleshooting, debugging, and optimizing performance issues.
• Document processes and contribute to best practices for development and deployment.

Requirements

Technical Skills:

• Knowledge of front-end frameworks like React, Angular, or Vue.js.
• Basic understanding of back-end frameworks such as Node.js, Python Flask/Django, or Java Spring Boot.
• Familiarity with AWS services like EC2, S3, Lambda, and RDS.
• Understanding of RESTful APIs and microservices architecture.
• Proficiency in version control systems (e.g., Git).
• Knowledge of database management systems (e.g., MySQL, MongoDB, or PostgreSQL).

Soft Skills:

• Strong problem-solving skills and a keen eye for detail.
• Willingness to learn new technologies and adapt to project requirements.
• Ability to communicate effectively with team members.

Educational Background:

• Bachelor’s degree in Computer Science, Engineering, or a related field.

Preferred Qualifications:

• Exposure to CI/CD pipelines and deployment tools like Jenkins, Docker, or Kubernetes.
• Basic knowledge of cloud-native architectures and serverless computing.
• Experience with Agile methodologies and project management tools like Jira.
• Personal or academic projects showcasing full-stack development and AWS integration.

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Key Responsibilities

• Develop and implement responsive, high-performance web interfaces using modern frameworks and technologies.
• Collaborate with designers and back-end developers to ensure seamless integration of APIs and UI/UX designs.
• Optimize applications for maximum speed, scalability, and cross-browser compatibility.
• Write clean, reusable, and maintainable code following best practices.
• Troubleshoot and debug issues to ensure smooth user experiences.
• Stay up-to-date with the latest frontend trends, technologies, and tools.

Requirements:

Technical Skills:

• Proficiency in HTML5, CSS3, and JavaScript/TypeScript.
• Hands-on experience with frontend frameworks like React, Vue.js, or Angular.
• Strong understanding of responsive design and cross-browser compatibility.
• Experience with version control systems like Git.
• Familiarity with CSS pre-processors (e.g., SASS, LESS) and frontend build tools (e.g., Webpack, Vite).
• Basic knowledge of RESTful APIs and integrating with back-end services.

Soft Skills:

• Strong problem-solving skills and attention to detail.
• Ability to work collaboratively in a team environment.
• Effective communication skills to understand and implement requirements.

Educational Background:

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.

Preferred Qualifications:

• Familiarity with state management libraries like Redux, Pinia, or MobX.
• Experience with UI libraries like Material-UI, Chakra UI, or Bootstrap.
• Basic knowledge of SEO principles and performance optimization techniques.
• Exposure to deployment processes and CI/CD pipelines.
• Portfolio showcasing personal or academic projects demonstrating frontend skills.

Why Join Us?

• Work on exciting projects with a talented and motivated team.
• Opportunities for professional growth and skill development.
• Flexible work environment with competitive compensation.
• Make an impact by contributing to innovative solutions.

Apply Now

Key Responsibilities

• Develop predictive maintenance models using time series analysis and advanced forecasting techniques.
• Work with ML and DL algorithms to detect anomalies and predict failures in equipment.
• Design and implement computational sequence modelling techniques for pattern recognition.
• Analyse large datasets from sensors, logs, and other IoT devices to extract actionable insights.
• Evaluate and fine-tune forecasting algorithms such as ARIMA, Prophet, LSTMs, and Transformers.
• Collaborate with cross-functional teams to define requirements and deploy predictive maintenance solutions.
• Build and maintain data pipelines for cleaning, preprocessing, and feature engineering.
• Ensure model scalability, reliability, and robustness for production deployment.
• Document technical processes, results, and methodologies for internal and client use.

Requirements:

Technical Skills:

• Strong foundation in time series analysis, forecasting algorithms (e.g., ARIMA, Prophet, SARIMA), and sequence modelling.
• Hands-on experience with machine learning and deep learning frameworks like scikit-learn, TensorFlow, or PyTorch.
• Proficiency in Python and libraries like Pandas, NumPy, and Matplotlib/Seaborn for data analysis and visualisation.
• Knowledge of DL models for sequence data such as LSTMs, GRUs, or Transformers.
• Experience with anomaly detection techniques and clustering methods.
• Familiarity with data engineering workflows and tools (e.g., Apache Kafka, Spark, or Airflow).
• Understanding of cloud platforms (AWS, Azure, or GCP) for model deployment and scaling.

Soft Skills:

• Strong problem-solving and critical-thinking skills.
• Ability to communicate technical concepts effectively to non-technical stakeholders.
• A collaborative mindset and the ability to work in a team-oriented environment.

Educational Background:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or a related field.

Preferred Qualifications:

• Hands-on experience with IoT data and predictive maintenance in industrial settings.
• Knowledge of advanced sequence modeling techniques like attention mechanisms and hybrid models.
• Exposure to containerization and deployment using Docker and Kubernetes.
• Familiarity with database technologies (SQL and NoSQL).
• Experience with model explainability techniques such as SHAP or LIME.

Why Join Us?

• Opportunity to work on cutting-edge predictive maintenance solutions.
• Be part of a team solving real-world challenges in industrial AI.
• Competitive salary and benefits package.
• Opportunities for learning and professional growth.

Apply Now