12 Model Versioning Jobs

As a Principal/Lead AI Engineer at Simpplr, you will play a crucial role in transforming the platform from AI-enabled to AI-native. Your responsibilities will include designing, coding, and leading the development of Simpplr's AI-native platform with a focus on explainability, traceability, observability, and auditing. You will deliver enterprise-scale AI capabilities using advanced technologies such as MCP, RAG, multimodal processing, LLMs, SLMs, and custom ML models. Additionally, you will define technical strategies, align with product and engineering leaders, and champion Responsible AI principles to ensure compliance with security and governance standards. Key Responsibilities: - Design...

Enterpret is a cutting-edge company specializing in AI-native applications that harness the potential of customer feedback to benefit businesses. By consolidating feedback from various sources, Enterpret transforms it into actionable insights that drive customer-centric decisions for teams at renowned companies such as Perplexity, Notion, Canva, and Figma. With the support of notable investors like Kleiner Perkins and Peak XV, Enterpret is revolutionizing how businesses comprehend and respond to the voice of their customers. As the LLMOps Architect at Enterpret, you will play a pivotal role in fine-tuning LLM models, managing prompts, conducting evaluations, optimizing for cost efficiency, a...

You should have an understanding of the ML model lifecycle, including training, evaluation, deployment, and monitoring. Experience in operationalizing ML models in production is required. You should possess knowledge of model drift and data drift detection techniques, as well as experience in model versioning and monitoring. Proficiency in AWS SageMaker for training, deploying, and hosting ML models, as well as AWS ECS (Elastic Container Service) for running containerized services, is essential. Additionally, Python programming skills are necessary for ML, pipelines, and scripting. As part of your job responsibilities, you will be expected to apply your understanding of the ML model lifecycl...

You have a great opportunity with Infosys for the position of Python AI/ML with GEN AI. This is a contract role based in either Chennai or Pune (Onsite). You should have a minimum of 4 years of experience in AI/ML, specifically in GenAI, along with a total of 5+ years of industry experience. Your responsibilities will include demonstrating proficiency in Python, ML, NLP, and text data analysis. You should have hands-on experience in API creation, RAG, Vector databases, LLM prompt engineering, and LLM evaluation. It is important to be familiar with MLOps tools and practices, such as monitoring and evaluation tools like LangSmith, LLM deployment libraries like LiteLLM and LLM Guardrails, CI/CD...

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of yourself. We are counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself and contribute to creating a better working world for all. As an EY-Consulting AI Enabled Automation - GenAI/Agentic Manager, we are seeking individuals with strong AI Enabled Automation skills who are passionate about applying AI in the process automation space, including Azure, AI, ML, Deep Learning, NLP, GenAI, large Lang Models (LLM), RAG, Vector DB, Graph DB, and Python. Resp...

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. We are looking to hire individuals with strong AI Enabled Automation skills who are interested in applying AI in the process automation space using technologies such as Azure, AI, ML, Deep Learning, NLP, GenAI, large Lang Models (LLM), RAG, Vector DB, Graph DB, and Python. Responsibilities: - Development and implementation of AI enabled auto...

As a Lead AI/ML Researcher, your primary responsibility will be to spearhead the research, design, and development of cutting-edge AI and ML models that power an innovative AI-driven no-code development platform and a scalable AI inference and training orchestration system. Your role involves building scalable ML pipelines, optimizing models for production, mentoring team members, and translating research innovations into impactful product features that align with business objectives. You will be tasked with designing and implementing state-of-the-art machine learning and deep learning models for Natural Language Processing (NLP), computer vision, and generative AI that are relevant to the f...

As a DevOps Engineer at Emerson, you will be responsible for overseeing the end-to-end lifecycle of machine learning models, from deployment to monitoring and maintenance. You will work closely with data scientists, machine learning engineers, and development teams to ensure that ML models are efficiently integrated into production systems and deliver high performance. Your responsibilities in this role include deploying and handling machine learning models in production environments, designing and implementing CI/CD pipelines for ML models, developing and maintaining the infrastructure required for model deployment, supervising model performance, ensuring alignment with security and regulat...

Role Overview: Zolvit is looking for a highly skilled and self-driven Lead Machine Learning Engineer / Lead Data Scientist to lead the design and development of scalable, production-grade ML systems. This role is ideal for someone who thrives on solving complex problems using data, is deeply passionate about machine learning, and has a strong understanding of both classical techniques and modern AI systems like Large Language Models (LLMs). You will work closely with engineering, product, and business teams to identify impactful ML use cases, build data pipelines, design training workflows, and ensure the deployment of robust, high-performance models at scale. Key Responsibilities: Design an...

Seeking an experienced AI Architect to lead the development of our AI and Machine Learning infrastructure and specialized language models. This role will establish and lead our MLOps practices and drive the creation of scalable, production-ready AI/ML systems. Key Responsibilities Discuss the feasibility of AI/ML use cases along with architectural design with business teams and translate the vision of business leaders into realistic technical implementation Play a key role in defining the AI architecture and selecting appropriate technologies from a pool of open-source and commercial offerings Design and implement robust ML infrastructure and deployment pipelines Establish comprehensive MLOp...

Job Summary: We are looking for a highly capable and automation-driven MLOps Engineer with 2+ years of experience in building and managing end-to-end ML infrastructure. This role focuses on operationalizing ML pipelines using tools like DVC, MLflow, Kubeflow, and Airflow, while ensuring efficient deployment, versioning, and monitoring of machine learning and Generative AI models across GPU-based cloud infrastructure (AWS/GCP). The ideal candidate will also have experience in multi-modal orchestration, model drift detection, and CI/CD for ML systems. Key Responsibilities: Develop, automate, and maintain scalable ML pipelines using tools such as Kubeflow, MLflow, Airflow, and DVC. Set up and m...

We are looking for a highly skilled Lead AI/ML Engineer with 6+ years of hands-on experience in designing, deploying, and scaling AI/ML and Generative AI solutions. The ideal candidate will lead technical efforts across a wide spectrum of AI technologies including large language models (LLMs), computer vision, machine learning, and data science to solve high-impact business problems. This is a technical leadership role that involves mentoring team members, shaping architecture decisions, and driving end-to-end AI solution delivery across cloud-based environments. Key Responsibilities: Leadership & Strategy Drive the technical vision and roadmap for AI/ML and Generative AI initiatives. Lead a...