3 Model Customization Jobs

The role requires you to lead the collaboration with ML Engineers and DevOps Engineers to formulate AI designs that can be built, tested, and deployed through the Route to Live and into Production using continuous integration/deployment. In this role, you will be responsible for Model Development & Deployment, including model fine-tuning using open-source libraries like DeepSpeed, Hugging Face Transformers, JAX, PyTorch, and TensorFlow to enhance model performance. You will also work on deploying and managing Large Language Models (LLMs) on cloud platforms, training and refining LLMs, and scaling LLMs up and down while ensuring blue/green deployments and roll back bad releases. Your tasks will also involve Data Management & Pipeline Operations, such as curating and preparing training data, monitoring data quality, transforming and aggregating data, building vector databases, and making data visible and shareable across teams. Monitoring & Evaluation will be a crucial part of your role, where you will track LLM performance, identify errors, optimize models, and create model and data monitoring pipelines with alerts for model drift and malicious user behavior. Infrastructure & DevOps tasks will include continuous integration and delivery (CI/CD), managing infrastructure for distributed model training using tools like SageMaker, Ray, Kubernetes, and deploying ML models using containerization technologies like Docker. Required Technical Skills for the role include proficiency in programming languages like Python, frameworks like PyTorch and TensorFlow, expertise in cloud platforms like AWS, Azure, or GCP, experience with containerization technologies, and familiarity with LLM-Specific Technologies such as vector databases, prompt engineering, and fine-tuning techniques. The position is located at DGS India in Pune, Baner, and falls under the Brand Merkle. It is a Full-Time role with a Permanent contract.,

Wipro Limited is a leading technology services and consulting company that focuses on creating innovative solutions to meet the complex digital transformation needs of clients. With a vast portfolio of capabilities in consulting, design, engineering, and operations, Wipro helps clients achieve their bold ambitions and build sustainable businesses. The company, with over 230,000 employees and business partners in 65 countries, is committed to assisting customers, colleagues, and communities in thriving in a rapidly evolving world. To learn more, visit www.wipro.com. Role: Data Science GenAI Architect Title: Data Science Architect Location: Gurgaon / Noida Key Responsibilities: - Develop working proof of concepts (POC) and prototypes quickly. - Create and integrate AI-driven solutions to address identified opportunities and challenges. - Lead cross-functional teams to identify and prioritize key business areas where AI solutions can deliver benefits. - Present proposals to executives and business leaders on various technology strategies, standards, and governance for AI. - Collaborate with engineering and business leaders on functional design, process design, prototyping, testing, and defining support models. - Document and articulate solutions architecture and lessons learned from each exploration and accelerated incubation. Relevant IT Experience: - Minimum of 10 years of relevant IT experience in the specified technology. Competencies: - Client Centricity - Passion for Results - Execution Excellence - Problem Solving & Decision Making - Effective Communication Mandatory Skills: Technology (Alight IT) Experience: 8-10 Years At Wipro, we are shaping a modern organization focused on end-to-end digital transformation. We are seeking individuals who are inspired by reinvention - of themselves, their careers, and their skills. Join us in our journey to constantly evolve our business and industry. At Wipro, we embrace change and empower you to design your own reinvention. Realize your ambitions with us. We welcome applications from individuals with disabilities.,

As a Senior / Lead Data Scientist specializing in Generative AI and NLP, you will be at the forefront of AI innovation. Your role will involve designing and deploying sophisticated models, including large language models (LLMs), to solve complex business problems. You will work closely with cross-functional teams to create scalable, data-driven solutions that bring AI-driven creativity and intelligence to life across various industries. Generative AI & NLP Development : Design, develop, and deploy advanced applications and solutions using Generative AI models (e.g., GPT, LLaMA, Mistral) and NLP algorithms to solve business challenges and unlock new opportunities for our clients. Model Customization & Fine-Tuning : Apply state-of-the-art techniques like LoRA, PEFT, and fine-tuning of large language models to adapt solutions to specific use cases, ensuring high relevance and impact. Innovative Problem Solving: Leverage advanced AI methodologies to tackle real-world business problems, providing creative and scalable AI-powered solutions that drive measurable results. • Data-Driven Insights: Conduct deep analysis of large datasets, uncovering insights and trends that guide decisionmaking, improve operational efficiencies, and fuel innovation. Cross-Functional Collaboration: Work closely with Consulting, Engineering, and other teams to integrate AI solutions into broader business strategies, ensuring the seamless deployment of AI-powered applications. • Client Engagement: Collaborate with clients to understand their unique business needs, provide tailored AI solutions, and educate them on the potential of Generative AI to drive business transformation. Role & responsibilities Generative AI & NLP Expertise: Extensive experience in developing and deploying Generative AI applications and NLP frameworks, with hands-on knowledge of LLM fine-tuning, model customization, and AI-powered automation. Hands-On Data Science Experience: 6+ years of experience in data science, with a proven ability to build and operationalize machine learning and NLP models in real-world environments. AI Innovation: Deep knowledge of the latest developments in Generative AI and NLP, with a passion for experimenting with cutting-edge research and incorporating it into practical solutions. Problem-Solving Mindset: Strong analytical skills and a solution-oriented approach to applying data science techniques to complex business problems. Communication Skills: Exceptional ability to translate technical AI concepts into business insights and recommendations for non-technical stakeholders.