Business Development Executive

• Building user-friendly IOS and Android apps on React Native Platfrom.
• proficient in Coding debugging.
• Collaborate with cross - functional terms to define and design new features .
• Work on bug fixing and improving applications performance.
• Hands on experience in optimizing code for application performance.
• Ability to deliver projects on time by satisfying clients needs .
• Wiriting modular , resuable, maintainable , well documented and fully tested code.

Job Title: Mid-Level Backend Engineer

Location: Remote

Type: Full-time or Project Basis

About Us:

At Tese, we are committed to advancing sustainability through innovative technology. Our platform helps SMEs and financial institutions manage their Environmental, Social, and Governance (ESG) goals using AI, IoT, and data-driven insights. We are looking for a skilled Backend Engineer with mid-level experience to join our dynamic team and contribute to building scalable, robust backend systems.

Role Overview:

As a Mid-Level Backend Engineer, you will be responsible for developing and maintaining backend services that power our core platform. You will work closely with our frontend developers, product team, and data scientists to implement solutions that are scalable, secure, and efficient. You will focus on building APIs, managing databases, and optimizing the performance of our services.

Key Responsibilities:

• API Development:
• Design, develop, and maintain RESTful APIs that serve our frontend applications and third-party integrations.
• Ensure high-performance and responsiveness of APIs, while following best practices for security and scalability.
• Database Management:
• Work with both NoSQL (MongoDB) , SQL (PostgreSQL, MySQL) and databases, ensuring efficient data storage and retrieval.
• Optimize database queries and manage migrations, ensuring data integrity and consistency across the platform.
• Microservices and Cloud Infrastructure:
• Develop microservices architecture using Docker and Kubernetes, ensuring that services are scalable and maintainable (Good to have).
• Work with cloud platforms (AWS, GCP, Azure) to deploy and manage backend services, ensuring high availability and fault tolerance.
• Collaboration and Documentation:
• Collaborate with frontend developers, data scientists, and product managers to gather requirements and develop backend solutions.
• Write clear, maintainable code with proper documentation, including technical designs, API specifications, and test cases.
• Performance and Security:
• Monitor backend services to ensure optimal performance, identifying bottlenecks and implementing improvements.
• Implement security best practices for APIs, databases, and backend systems, including authentication, authorization, and data encryption.

Qualifications:

• Education: Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Experience: 3-5 years of experience in backend development, with a strong focus on building scalable and efficient systems.
• Technical Skills:
• Proficiency in backend programming languages such as Node.js, Python.
• Strong understanding of RESTful APIs.
• Hands-on experience with SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB) databases.
• Familiarity with cloud platforms such as AWS, Google Cloud.
• Knowledge of CI/CD pipelines and version control (e.g., Git).
• Soft Skills:
• Strong problem-solving abilities and the capacity to work independently as well as in a collaborative environment.
• Excellent communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders.
• A strong passion for sustainability and a desire to contribute to impactful projects that drive positive environmental change.

Preferred Qualifications:

The following qualifications are bonus, but not strictly necessary:

• Experience with Docker and Kubernetes for containerisation and orchestration (Good to have).
• Experience working with microservices architecture.
• Knowledge of ESG (Environmental, Social, and Governance) metrics and sustainability (Good to have).
• Familiarity with serverless architectures and API gateways.

Benefits:

• Competitive salary and benefits package and performance bonuses.
• Flexible working hours and remote work options.
• Opportunity to work on cutting-edge technology with a focus on sustainability.
• Professional development opportunities, including access to conferences and training.

How to Apply:

Interested candidates should submit their CV and a cover letter detailing their experience and passion for backend development and sustainability here.

Join Us:

Be a part of a forward-thinking team that is making a real difference in the world. At Tese, you'll have the opportunity to innovate, grow, and contribute to a more sustainable future through technology.

Skill : 4-10 years of experience in development of automation framework using Python

• Experience in GUI development using HTML/CSS/JS/Angular JS/Django are preferred
• Having good understanding of REST is desired
• Excellent Troubleshooting and Analytical Skills are desired
• Good Communications and interpersonal skill are desired

About the Role

We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing, building, and deploying machine learning models and AI solutions to solve real-world business challenges. You will collaborate with cross-functional teams to create and integrate AI/ML models into end-to-end applications, ensuring models are accessible through APIs or product interfaces for real-time usage.

Responsibilities

• Lead the design, development, and deployment of machine learning models for various use cases such as recommendation systems, computer vision, natural language processing (NLP), and predictive analytics.

• Work with large datasets to build, train, and optimize models using techniques such as classification, regression, clustering, and neural networks.

• Fine-tune pre-trained models and develop custom models based on specific business needs.

• Collaborate with data engineers to build scalable data pipelines and ensure the smooth integration of models into production.

• Collaborate with frontend/backend engineers to build AI-driven features into products or platforms.

• Build proof-of-concept or production-grade AI applications and tools with intuitive UIs or workflows.

• Ensure scalability and performance of deployed AI solutions within the full application stack.

• Implement model monitoring and maintenance strategies to ensure performance, accuracy, and continuous improvement of deployed models.

• Design and implement APIs or services that expose machine learning models to frontend or other systems

• Utilize cloud platforms (AWS, GCP, Azure) to deploy, manage, and scale AI/ML solutions.

• Stay up-to-date with the latest advancements in AI/ML research, and apply innovative techniques to improve existing systems.

• Communicate effectively with stakeholders to understand business requirements and translate them into AI/ML-driven solutions.

• Document processes, methodologies, and results for future reference and reproducibility.

Required Skills & Qualifications

• Experience: 3-5+ years of experience in AI/ML engineering roles, with a proven track record of successfully delivering machine learning projects.

• AI/ML Expertise: Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning) and AI techniques, including NLP, computer vision, and recommendation systems.

• Programming Languages: Proficient in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras.

• Data Manipulation: Experience with data manipulation libraries such as Pandas, NumPy, and SQL for managing and processing large datasets.

• Model Development: Expertise in building, training, deploying, and fine-tuning machine learning models in production environments.

• Cloud Platforms: Experience with cloud platforms such as AWS, GCP, or Azure for the deployment and scaling of AI/ML models.

• MLOps: Knowledge of MLOps practices for model versioning, automation, and monitoring.

• Data Preprocessing: Proficient in data cleaning, feature engineering, and preparing datasets for model training.

• Strong experience building and deploying end-to-end AI-powered applications— not just models but full system integration.

• Hands-on experience with Flask, FastAPI, Django, or similar for building REST APIs for model serving.

• Understanding of system design and software architecture for integrating AI into production environments.

• Experience with frontend/backend integration (basic React/Next.js knowledge is a plus).

• Demonstrated projects where AI models were part of deployed user-facing applications.

• NLP & Computer Vision: Hands-on experience with natural language processing or computer vision projects.

• Big Data: Familiarity with big data tools and frameworks (e.g., Apache Spark, Hadoop) is an advantage.

• Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on delivering practical AI/ML solutions.

Nice to Have

• Experience with deep learning architectures (CNNs, RNNs, GANs, etc.) and techniques.

• Knowledge of deployment strategies for AI models using APIs, Docker, or Kubernetes.

• Experience building full-stack applications powered by AI (e.g., chatbots, recommendation dashboards, AI assistants, etc.).

• Experience deploying AI/ML models in real-time environments using API gateways, microservices, or orchestration tools like Docker and Kubernetes.

• Solid understanding of statistics and probability.

• Experience working in Agile development environments.

What You'll Gain

• Be part of a forward-thinking team working on cutting-edge AI/ML technologies.

• Collaborate with a diverse, highly skilled team in a fast-paced environment.

• Opportunity to work on impactful projects with real-world applications.

• Competitive salary and career growth opportunities