Tekdi Technologies Pvt. Ltd.

We are looking for a highly skilled AI/ML/Gen AI Data Scientist with expertise in Generative AI, Machine Learning, Deep Learning, and Natural Language Processing (NLP). The ideal candidate should have a strong foundation in Python-based AI frameworks and experience in developing, deploying, and optimizing AI models for real-world applications.

Key Responsibilities:

Develop and implement AI/ML models.

Work with Deep Learning architectures like Transformers (BERT, GPT, LLaMA) and CNNs/RNNs.

Fine-tune and optimize Large Language Models (LLMs) for various applications.

Design and train custom Machine Learning models using structured and unstructured data.

Leverage NLP techniques such as text summarization, Named Entity Recognition (NER).

Implement ML pipelines and deploy models in cloud environments (AWS/GCP/Azure).

Collaborate with cross-functional teams to integrate AI-driven solutions into business applications.

Stay updated with latest AI advancements and apply innovative techniques to improve model performance.

Required Skills & Qualifications:

1 to 3 years of experience in AI/ML, Deep Learning, and Generative AI.

 Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, Hugging Face, Scikit-learn.

 Hands-on experience with NLP models, including BERT, GPT, T5, LLaMA, and Stable Diffusion.

 Expertise in data preprocessing, feature engineering, and model evaluation.

 Experience with MLOps, cloud-based AI deployment, and containerization (Docker, Kubernetes).

 Knowledge of vector databases and retrieval-augmented generation (RAG) techniques.

 Ability to fine-tune LLMs and work with prompt engineering.

 Strong problem-solving skills and ability to work in agile environments.

Educational Requirements:

Bachelor's, Master's, or PhD in Computer Science/Artificial Intelligence/Information Technology

Preferred Skills (Good to Have):

Experience with Reinforcement Learning (RLHF) and multi-modal AI.

Familiarity with AutoML, Responsible AI (RAI), and AI Ethics.

Exposure to Graph Neural Networks (GNNs) and time-series forecasting.

Contributions to open-source AI projects or research papers.

Job Summary:

We are looking for an experienced Full Stack Developer with expertise in Angular 15+, PHP, Node.js and SQL databases. As a key member of our engineering team, you will design, develop, and maintain both the front-end and back-end of our applications. If you are passionate about building scalable, high-performance web solutions and have experience with cloud technologies, we encourage you to apply.

Key Responsibilities:

• Front-End Development:
• Develop responsive, high-performance web applications using Angular 15+.
• Ensure a seamless and engaging user experience by collaborating closely with UX/UI designers.
• Implement modern web technologies and best practices for building dynamic, scalable applications.
• Back-End Development:
• Build and maintain PHP-based server-side applications, ensuring reliability, security, and scalability.
• Work on backend systems using Node.js and PHP maintaining seamless integration, performance, and security across multiple services.
• Develop and integrate RESTful APIs to support front-end functionality.
• Design and optimize database schemas and queries for SQL databases (e.g., MySQL, PostgreSQL).
• Cloud and Infrastructure Integration:
• Integrate and manage cloud services, including AWS Lambda, AWS SQS, Firebase, and Google Cloud Tasks.
• Work with the team to ensure efficient cloud-based deployments and architecture optimization.
• Collaboration and Code Quality:
• Collaborate with cross-functional teams to define and implement software requirements.
• Ensure code quality and maintainability by conducting code reviews and following industry best practices.
• Write unit and integration tests to ensure software reliability and robustness.
• Continuous Improvement:
• Stay up to date with emerging technologies and trends in web development and cloud services.
• Identify and resolve performance bottlenecks and improve application performance.

Required Skills and Qualifications:

• 4-5 years of professional experience in full-stack web development.
• Proficiency in Angular 15+, PHP, Node.js and SQL databases (MySQL, PostgreSQL, etc.).
• Strong understanding of web application architecture, APIs, and cloud integration.
• Experience with version control tools like Git.
• Solid understanding of front-end build tools and optimization techniques.

Preferred Skills:

• Experience with Joomla 3+ and its framework.
• Familiarity with cloud platforms such as AWS Lambda, Firebase, and Google Cloud Tasks.
• Knowledge of other cloud services and serverless architectures.
• Experience with Cypress for end-to-end testing and test automation.

Education:

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

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.

The test Engineer will assess software quality through manual and automated testing. He/She will be responsible for finding and reporting bugs and glitches. Ultimately, he/she will ensure that our products, applications, and systems work correctly when implemented.

Duties And Responsibilities

• Review and analyze system specifications
• Collaborate to develop effective strategies and test plans
• Execute test cases (manual or automated) and analyze results
• Create logs to document testing phases and defects
• Report bugs and errors to development teams
• Help troubleshoot issues
• Conduct post-release/ post-implementation testing
• Work with cross-functional teams to ensure quality throughout the software development lifecycle
• To complete testing in line with agreed timeframes and by following the documented business processes using the appropriate test management and automation tools.
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Skills / Attributes Required

• Strong domain experience
• Proven 3+ years experience as a QA tester
• Experience in QA methodology
• Familiarity with Agile frameworks and regression testing is a plus
• Ability to document and troubleshoot errors
• Working knowledge of test management software
• Excellent communication (verbal & written) skills
• Attention to detail
• Analytical mind and problem-solving aptitude
• Strong organisational skills
• Proven ability to work under pressure

Skills:- Manual testing, Automation, Agile/Scrum, and TMS

• To support and maintain existing Java code base, debug the application 
• To analyse user and business requirements and design and implement appropriate solutions 
• To design and code programs following in-house standards and good design principles 
• To ensure that all programs are documented to the company standards 
• To create unit test plans and perform unit testing of the programs
• To provide advice and guidance to other members of the team

• Hands on experience in designing and developing applications using Java EE platforms 
• Object Oriented analysis and design using common design patterns 
• Good knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hibernate) 
• Experience in the Spring Framework 
• Experience in developing web applications using at least one popular web framework (JSF, Wicket, GWT, Spring MVC) 
• Experience in RESTFul webservices
• Experience with test-driven development 
• Exposure to portal/mobility development - Desired
• Exposure to any of middleware solutions like MQ, Oracle fusion middleware(WebLogic), WebSphere, Open Source