Senior Product Manager

We are seeking a highly skilled Senior/Lead Data Scientist with deep expertise in AI/ML/Gen AI, including Deep Learning, Computer Vision, and NLP. The ideal candidate will bring strong hands-on experience, particularly in building, fine-tuning, and deploying models, and will work directly with customers with minimal supervision.

This role requires someone who can not only lead and execute technical projects but also actively contribute to business development through customer interaction, proposal building, and RFP responses. You will be expected to take ownership of AI project execution and team leadership, while helping Tekdi expand its AI footprint.

Key Responsibilities:

Contribute to AI business growth by working on RFPs, proposals, and solutioning activities.

• Lead the team in delivering customer requirements, ensuring quality and timely execution.

Develop and fine tune advanced AI/ML models using deep learning and generative AI techniques.

• Fine-tune and optimize Large Language Models (LLMs) such as GPT, BERT, T5, and LLaMA.
• Interact directly with customers to understand their business needs and provide AI-driven solutions.
• Work with Deep Learning architectures including CNNs, RNNs, and Transformer-based models.
• Leverage NLP techniques such as summarization, NER, sentiment analysis, and embeddings.
• Implement MLOps pipelines and deploy scalable AI solutions in cloud environments (AWS, GCP, Azure).
• Collaborate with cross-functional teams to integrate AI into business applications.
• Stay updated with AI/ML research and integrate new techniques into projects.

Required Skills & Qualifications:

• Minimum 6 years of experience in AI/ML/Gen AI, with at least 3+ years in Deep Learning/Computer Vision.
• Strong proficiency in Python and popular AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, Scikit-learn).
• Hands-on experience with LLMs and generative models (e.g., GPT, Stable Diffusion).
• Experience with data preprocessing, feature engineering, and performance evaluation.
• Exposure to containerization and cloud deployment using Docker, Kubernetes.
• Experience with vector databases and RAG-based architectures.
• Ability to lead teams and projects, and work independently with minimal guidance.
• Experience with customer-facing roles, proposals, and solutioning.

Educational Requirements:

• Bachelor’s, Master’s, or PhD in Computer Science, Artificial Intelligence, Information Technology, or related field.

Preferred Skills (Good to Have):

• Knowledge of Reinforcement Learning (e.g., RLHF), multi-modal AI, or time-series forecasting.
• Familiarity with Graph Neural Networks (GNNs).
• Exposure to Responsible AI (RAI), AI Ethics, or AutoML platforms.
• Contributions to open-source AI projects or publications in peer-reviewed journals.

Fullstack Developer:

We are looking for an onsite Fullstack Developer experienced with Fullstack technologies, Cloud and IoT solutions. For the agile development of our web, mobile, and cloud applications and IoT products, building efficient, reliable and scalable solutions. A hands-on coding role, where you will build and manage your own team.

Tasks:

·        Development of modern based applications in the back-end

·        Development, implementation and optimisation of innovative IoT products, web apps and new features

·        Technical product design, solution architecture, specifications and implementation of Livello solutions

·        Work with a cross-functional team to define, build, test, and deploy universal applications

·        Version control with Git is part of your daily work and continuous integration

·        Ensure the implementation of technical standards, quality assurance and best practices.

Requirements:

·       Bachelor's degree in Computer Science or comparable field of study

·       2-4 years’ experience in agile software development

·       Proficiency in Node.js, React js, Mongo DB, Docker along with any cloud Exp (AWS, GCP, Azure)

·       Experience with test and deployment automation (Gitlab, Fastlane, Jest).

·       Good to have Experience with GraphQL and Kubernetes as well as state management solutions (Redux, Saga)

·       Ability to work cooperatively and independently, analytical thinking, willingness to lead and take on responsibility

·       Fluent in English.

Nice to have:

·       Experienced in IoT-to-Cloud managed services, Microservices.

·       Knowledge of IoT device management and message brokers like AMQP or MQTT

Benefits

Ø A responsible position in a fast-growing and highly innovative start-up

Ø An agile and diverse team with colleagues from all over the world, working with our main office in Germany

Ø English speaking open work environment, with flat hierarchies and short decision-making paths

Ø Creative freedom for own ideas, projects and personal development.

• Experience in API development using Java will be a plus.

• Excellent knowledge and experience in writing testable, scalable, flexible, robust and efficient web applications using JavaEE 6/7 technologies, specifically, Spring core, Spring Boot Spring Data, spring batch and JPA
• Experience in successfully deploying Java-based applications in production and understanding load-balancing, authentication, and fault tolerance through Tom Cat.
• Experience in database modeling (MySQL/NoSQL databases such as Mongo DB)

• Knowledge of integrating with Ant, Maven, GIT and Shell scripting.
• Strong backend experience to develop Data Layer using at least one of the ORM frameworks like Hibernate, JPA etc.
• Strong RDBMS Skills and SQL skills. Experience in MySQL, Teradata and warehousing databases.

• Experience in Analytics frameworks and visualization products.

• Excellent knowledge and experience of Maven, Continuous Integration, and Continuous Delivery with Jenkins.
  • Experience with JavaScript frameworks, especially Angular is a definite plus.

Java 8, J2EE , Spring Boot, Microservices, Apache Spark, DevOps, Advanced SQL, preferably with

expertise in Data engineering/Data analytics,

ELK(Elastic Search, Logstash , Kibana) stack, Teradata, any No SQL database, Hands on experience in

maintaining products on Cloud Technologies like PCF, Azure, Docker, Kubernetes, etc, NodeJS,

Angular 2x, GitLab with CI/CD, Hands on experience in Unix server, Shell scripting, Large data

processing, Performance tuning, Experience in working in various Test Automation frameworks like

Selenium, Test NG, Python, Cucumber, Karma, Karate/ Jasmine, etc

Experience in using Eclipse, Spring tool suite, Project building tools - Maven, Gradle, etc, JIRA for ALM.

Skills

About us

The YUG Metaverse is a virtual reality technology and development firm that specializes in creating immersive, interactive experiences within virtual worlds. Our team is dedicated to pushing the boundaries of what is possible within the metaverse and providing our users with engaging and innovative content. We have created a platform that allows users to interact with each other and explore virtual worlds in a way that feels real and natural. From socializing and gaming to business meetings and events, the YUG Metaverse offers endless possibilities for exploration and connection.

What we are seeking

We are seeking a talented Godot Game Developer to join our team. The Godot Game Developer will be responsible for creating and implementing high-quality game mechanics and features using the Godot game engine. The ideal candidate will have a strong understanding of programming concepts and a passion for creating immersive and engaging game experiences.

Key Responsibilities:

• Design and implement game mechanics and features using the Godot engine
• Collaborate with the game design team to develop and iterate on gameplay ideas
• Work with the art team to integrate and optimize 3D assets and animations
• Write clean, efficient, and well-documented code
• Debug and troubleshoot issues as they arise
• Contribute to the development of the overall project roadmap and schedule

Requirements:

• 3-5 years Experience with game development using Godot
• Proficiency with GDScript programming and the Godot engine
• Strong problem-solving and debugging skills
• Ability to work well in a team environment
• Excellent communication skills
• A portfolio of game development work is a plus

ML Engineer-Analyst/ Senior Analyst

Job purpose:

To design and develop machine learning and deep learning systems. Run machine learning tests andexperiments and implementing appropriate ML algorithms. Works cross-functionally with the Data Scientists, Software application developers and business groups for the development of innovative ML models. Use Agile experience to work collaboratively with other Managers/Owners in geographically distributed teams.

Accountabilities:

• Work with Data Scientists and Business Analysts to frame problems in a business context. Assist all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.

• Understand business objectives and developing models that help to achieve them, along with metrics to track their progress.

• Explore and visualize data to gain an understanding of it, then identify differences in data distribution that could affect performance when deploying the model in the real world.

• Define validation strategies, preprocess or feature engineering to be done on a given dataset and data augmentation pipelines.

• Analyze the errors of the model and design strategies to overcome them.
• Collaborate with data engineers to build data and model pipelines, manage the infrastructure and data pipelines needed to bring code to production and demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created.

Qualifications & Specifications

• Bachelor's degree in Engineering /Computer Science/ Math/ Statistics or equivalent. Master's degree in relevant specification will be first preference

• Experience of machine learning algorithms and libraries
• Understanding of data structures, data modeling and software architecture.
• Deep knowledge of math, probability, statistics and algorithms
• Experience with machine learning platforms such as Microsoft Azure, Google Cloud, IBM Watson, and Amazon

• Big data environment: Hadoop, Spark
• Programming languages: Python, R, PySpark
• Supervised & Unsupervised machine learning: linear regression, logistic regression, k-means

clustering, ensemble models, random forest, svm, gradient boosting

• Sampling data: bagging & boosting, bootstrapping
• Neural networks: ANN, CNN, RNN related topics
• Deep learning: Keras, Tensorflow
• Experience with AWS Sagemaker deployment and agile methodology

Our growing company is in need of an experienced and resourceful Business Development Executive to develop and implement growth opportunities in existing and new markets. 

We're searching for professionals that have a solid track record of creating long-term value for organizations. 

- First and foremost, we- re looking for a leader who understands how to leverage real data and capitalize on business trends and opportunities. 

- Candidates should have strong communication and leadership skills, as well as the ability to manage a diverse team in an evolving industry landscape. Successful applicants should also be willing to travel.

- Oversee the sales process to attract new clients.

- Work with senior team members to identify and manage risks.

- Maintain fruitful relationships with clients and address their needs effectively.

- Research and identify new market opportunities.

- Prepare and deliver pitches to potential clients.