Description The Generative AI Platform project leverages cutting-edge AI and ML technologies to develop and deploy cloud-agnostic Gen AI applications on demand and enable users to create custom solutions for Sales, Marketing, Software Engineering, and Customer Service use cases. Fully managed RAG workflow including ingestion, retrieval, and augmentation of data, securely connected to many types of information consolidated and aggregated from multiple sources. The Platform’s ultimate goal is to deliver the user-friendly LLM as a Service Model (LLMaaS) trained on internal company resources, which contributes to the adoption of AI among multiple consumers across the business. Requirements TechStack: Proficiency in Python for data analysis and model development. Extensive experience with machine learning frameworks such as TensorFlow and PyTorch, with a focus on building and optimizing models. Experience with data visualization tools (e.g., Matplotlib, Seaborn) and data manipulation libraries (e.g., Pandas, NumPy). Familiarity with cloud services, preferably Azure, for deploying and managing machine learning models. Experience with: Developing and implementing machine learning algorithms. Working with large datasets and experience in data cleaning, preprocessing, and feature engineering. Applying modern NLP techniques and understanding of LLM (Large Language Models), including prompt engineering and fine-tuning strategies. Soft-skills: Strong communication skills, with the ability to present complex data insights clearly and understandably. Ability to work independently and as part of a collaborative team. Demonstrating ownership of projects and tasks, with a proactive approach to problem-solving. Mentorship qualities, able to guide and support junior colleagues in their professional development. Initiative in identifying issues and proposing innovative solutions. Project stack/skills: Experience with project management and collaboration tools such as Jira and Confluence, understanding their relevance and proper usage. Proficiency in using GitHub for version control and peer review. Ability to create and maintain documentation in Confluence that is accessible and understandable to both technical and non-technical stakeholders. Job Responsibilities Conduct research on various issues related to Large Language Models (LLM) and their applications. Fine-tune LLMs Work collaboratively with team members to deliver high-quality results. Take ownership of assigned tasks and ensure timely completion. Communicate effectively with team members and stakeholders. Create clear and concise documentation using Confluence for the layman to understand the research and findings. We Offer Empowering Projects: With 500+ clients spanning diverse industries and domains, we provide an exciting opportunity to contribute to groundbreaking projects that leverage cutting-edge technologies. As a team, we engineer digital products that positively impact people’s lives. Empowering Growth: We foster a culture of continuous learning and professional development. Our dedication is to provide timely and comprehensive assistance for every consultant through our dedicated Learning & Development team, ensuring their continuous growth and success. DE&I Matters: At GlobalLogic, we deeply value and embrace diversity . We are dedicated to providing equal opportunities for all individuals, fostering an inclusive and empowering work environment. Career Development: Our corporate culture places a strong emphasis on career development, offering abundant opportunities for growth. Regular interactions with our teams ensure their engagement, motivation, and recognition. We empower our team members to pursue their career goals with confidence and enthusiasm. Comprehensive Benefits: In addition to equitable compensation, we provide a comprehensive benefits package that prioritizes the overall well-being of our consultants. We genuinely care about their health and strive to create a positive work environment. Flexible Opportunities: At GlobalLogic, we prioritize work-life balance by offering flexible opportunities tailored to your lifestyle. Explore relocation and rotation options for diverse cultural and professional experiences in different countries with our company.
