16 Drift Detection Jobs

As a Data Scientist and LLM Operations Specialist, your role will involve utilizing your expertise in data science to manage structured and unstructured data effectively. Below are the key responsibilities for this position: - Proven experience in data science, with a strong background in statistical techniques, predictive analytics, and the ability to effectively report results. - Experience in applied science in fields such as Natural Language Processing (NLP), Machine Learning (ML), Deep Learning (DL), or Multimodal Analysis. - Proficiency in software development, data modeling, and data engineering, with a deep understanding of building and scaling ML models, specifically LLMs. - Familia...

You have a minimum of 5+ years of experience in developing scalable and reliable generative AI solutions. Your responsibilities will include: - Scope, develop, expand, operate, and maintain scalable, reliable, and safe generative AI solutions. - Design and execute prompt engineering experiments to optimize Large Language Models (LLMs) for various use cases. - Collaborate with Subject Matter Experts (SMEs) to evaluate prompt effectiveness and align AI solutions with business needs. - Understand and apply offline and online evaluation metrics for LLMs, ensuring continuous model improvements. - Evaluate production models using live data in the absence of ground metrics, implementing robust moni...

LOCATION: Hyderabad, Bengaluru, Mumbai, Gurugram Role & Responsibilities Our client is hiring a Senior Data Scientist with strong expertise in AI, machine learning engineering (MLE), and generative AI. You will play a leading role in designing, deploying, and scaling production-grade ML systems including large language model (LLM)-based pipelines, AI copilots, and agentic workflows. This role is ideal for someone who thrives on balancing cutting-edge research with production rigor and loves mentoring while building impact-first AI applications. Responsibilities: Own the full ML lifecycle: model design, training, evaluation, deployment Design production-ready ML pipelines with CI/CD, testing,...

Role & Responsibilities AuxoAI is hiring a Senior Data Scientist with strong expertise in AI, machine learning engineering (MLE), and generative AI. You will play a leading role in designing, deploying, and scaling production-grade ML systems including large language model (LLM)-based pipelines, AI copilots, and agentic workflows. This role is ideal for someone who thrives on balancing cutting-edge research with production rigor and loves mentoring while building impact-first AI applications. Responsibilities Own the full ML lifecycle: model design, training, evaluation, deployment Design production-ready ML pipelines with CI/CD, testing, monitoring, and drift detection Fine-tune LLMs and im...

About This Role About the role The? Lead Data Quality and Reliability Engineering ?will architect and build the infrastructure, processes, technology and collaboration model that embeds?rigorous data quality and reliability practices?to ensure that data across all systems from ingestion through consumption is?accurate, consistent, and trustworthy. They will spearhead the development of our next-generation? data ecosystem ?with a quality-first mindset, helping? shape a platform that is not only scalable and innovative, but also delivers trusted data for critical financial and analytical use cases . As a leader, this position demands a balance of? hands-on execution, strategic direction, and t...

At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they arewith the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to actionenabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this o...

Job Description Design and implement LLM-based solutions with RAG, prompts, and context frameworks. Build and deploy AI Agents for orchestration and automation. Develop APIs/microservices in Java and Python to serve GenAI workflows. Ensure production readiness: deployment, monitoring, drift detection, resiliency. Collaborate with product and engineering teams, mentor juniors. Qualifications Career Level - IC3 About Us As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sectorand continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts wh...

Architecting the Future: Agentic AI & Enterprise Transformation Join us in shaping the next wave of enterprise innovation through Generative and Agentic AI. We are seeking a pragmatic futurist and business-savvy technologist to redefine how enterprises operate in the AI-first era . You will lead the design, adoption, and scaling of Generative and Agentic AI ecosystems for our most strategic clients. This role blends advisory, hands-on solutioning, and practice-building leadership to ensure AI delivers tangible, industry-specific business outcomes . Core Responsibilities Architect & Implement Enterprise AI Ecosystems Design and implement modular, scalable AI platforms that integrate Large Lan...

As a seasoned AI Architect and Engineering Leader, you will be responsible for driving the AI technology strategy, leading execution, and managing a team of AI engineers and architects. Your role will blend hands-on Technical Leadership with Strategic Delivery ownership, ensuring innovation, scalability, and client confidence across a growing portfolio of AI initiatives. It goes beyond building models; it's about anchoring BOTs AI practice, scaling talent, and ensuring enterprise-grade outcomes from design to production. **Key Responsibilities:** - Define, design, and validate scalable, secure, and high-performance AI architectures aligned with business goals using AWS Bedrock, SageMaker, La...

About Us Neuralcraft builds intelligent systems that bring human understanding to AI-driven workflows. From healthcare, insurance to e-commerce and citizen services, we design and deploy AI agents that reason, act, and explain their decisions enabling organizations to automate complex operations while keeping humans in the loop. Our products power personalized recommendations, automated decision support, and intent-driven experiences that connect people, products, and services with precision and empathy. Teams use Neuralcraft to turn raw data and business rules into adaptive intelligence layers that understand context, reduce manual work, and improve outcomes. We're a growing team of enginee...

Job Summary: Our client is building an AI Center of Excellence to standardize and scale AI/ML adoption across the enterprise. The Technical Capability Owner will define AI/ML architectures, tools, guardrails and persona-approved toolsets across AWS and Databricks to ship reliable ML and GenAI solutions. This role bridges AI, enterprise architecture, data science, security, and business teams - driving consistency, governance, and developer enablement. The successful candidate will shape the technical roadmap, establish reusable frameworks, guide platform adoption, and communicate effectively to audiences from engineering guilds to executives. Experience: 812+ years in data/ML platform engine...

AuxoAI is hiring a Senior Data Scientist with strong expertise in AI, machine learning engineering (MLE), and generative AI. You will play a leading role in designing, deploying, and scaling production-grade ML systems including large language model (LLM)-based pipelines, AI copilots, and agentic workflows. This role is ideal for someone who thrives on balancing cutting-edge research with production rigor and loves mentoring while building impact-first AI applications. Location: Mumbai/Bengaluru/Hyderabad/ Gurgaon (Hybrid) Responsibilities: * Own the full ML lifecycle: model design, training, evaluation, deployment Design production-ready ML pipelines with CI/CD, testing, monitoring, and dri...

Job Description: As a candidate for this role, you will be responsible for the following key responsibilities: - Scope, develop, expand, operate, and maintain scalable, reliable, and safe generative AI solutions. - Design and execute prompt engineering experiments to optimize Large Language Models (LLMs) for various use cases. - Collaborate with Subject Matter Experts (SMEs) to evaluate prompt effectiveness and align AI solutions with business needs. - Understand and apply offline and online evaluation metrics for LLMs, ensuring continuous model improvements. - Evaluate production models using live data in the absence of ground metrics, implementing robust monitoring systems. - Monitor LLM a...

You should have at least 5+ years of experience for this role. As a key member of the team, your responsibilities will include scoping, developing, expanding, operating, and maintaining scalable, reliable, and safe generative AI solutions. Your expertise will be crucial in designing and executing engineering experiments to optimize Large Language Models (LLMs) for various use cases. Collaborating with Subject Matter Experts (SMEs) to evaluate prompt effectiveness and align AI solutions with business needs will be an essential part of your role. You will need to understand and apply offline and online evaluation metrics for LLMs to ensure continuous model improvements. Additionally, you will ...

As a Data Scientist and LLM Operations Specialist, you will need to have a minimum of 5+ years of experience in the field. Your primary responsibilities will include managing both structured and unstructured data with expertise in statistical techniques, predictive analytics, and reporting results. Additionally, you will be required to apply your skills in Natural Language Processing (NLP), Machine Learning (ML), Deep Learning (DL), and Multimodal Analysis. Your background should demonstrate a strong foundation in software development, data modeling, and data engineering. You must possess a deep understanding of building and scaling ML models, specifically LLMs, and be familiar with open-sou...

You are a highly experienced Senior Python & AI Engineer who will lead the development of innovative AI/ML solutions. Your strong background in Python programming, deep learning, machine learning, and proven leadership skills will drive the team towards delivering high-quality AI systems. You will architect solutions, define technical strategies, mentor team members, and ensure timely project deliveries. In the technical realm, you will be responsible for designing and implementing scalable AI/ML systems and backend services using Python. Your role includes overseeing the development of machine learning pipelines, APIs, and model deployment workflows. Reviewing code, establishing best practi...