11 Evidently Ai Jobs

Role Overview: As a Senior Data Scientist at our company, you will be taking on the role of an Agentic AI Lead/Architect, responsible for driving the research, development, and deployment of semi-autonomous AI agents to tackle complex enterprise challenges. Your primary focus will be on designing and scaling Agentic AI solutions, hands-on development and optimization, driving AI innovation and research, strategizing for AI impact on business, and mentoring and building capabilities within the team. Key Responsibilities: - Architecting & Scaling Agentic AI Solutions: - Design and develop multi-agent AI systems using LangGraph for workflow automation, complex decision-making, and autonomous pr...

Join our Team About this opportunity: Ericsson Enterprise Wireless Solutions (BEWS) is responsible for driving Ericsson's Enterprise Networking and Security business. Our expanding product portfolio covers wide area networks, local area networks, and enterprise security. We are the #1 global market leader in Wireless-WAN enterprise connectivity and are rapidly growing in enterprise Private 5G networks and Secure Access Services Edge (SASE) solutions. What Will You Do: Design, implement, and maintain data pipelines and ETL workflows for structured and unstructured data using scalable frameworks Build and automate ML pipelines for model training, deployment, monitoring, and retraining using ML...

Join the Tilt team At Tilt (formerly Empower), we see a side of people that traditional lenders miss. Our mobile-first products and machine learning-powered credit models look beyond outdated credit scores, using over 250 real-time financial signals to recognize real potential. Named among the next billion-dollar startups, we're not just changing how people access financial products we're creating a new credit system that backs the working, whatever they're working toward. The Opportunity, Machine Learning Engineer, APAC As an Machine Learning Engineer focusing on MLOps , you will play a pivotal role in operationalising our ML models, ensuring they are scalable, reliable, and easy to monitor...

As a Senior Data Science Lead, your primary skills should include: - Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic) - Proficiency in Python/PySpark, SAS/SPSS - Statistical analysis and computing - Familiarity with Probabilistic Graph Models, Great Expectation, Evidently AI - Experience in Forecasting (Exponential Smoothing, ARIMA, ARIMAX) - Knowledge of Tools like KubeFlow, BentoML - Expertise in Classification (Decision Trees, SVM) - Familiarity with ML Frameworks such as TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet - Understanding of Distance metrics like Hamming Distance, Euclidean Distance, Manhattan Distance - Knowledge of R/ R Studio In this role as the Age...

Responsible AI & Governance Lead Chennai Build trust in intelligence design, evaluate, and govern AI systems responsibly. Location: Chennai, India Experience: 47 years total, with 1.53 years in GenAI, AI Governance, MLOps, or Model Evaluation. Professionals who bring structure, ethics, and rigor to how AI systems are built, tested, and deployed. Role Overview As a Responsible AI & Governance Lead , you'll define and implement frameworks that ensure our GenAI and LLM systems are accurate, safe, reliable, and compliant. You'll bridge the worlds of technology, compliance, and ethics embedding governance directly into development workflows. This role is ideal for those passionate about AI accoun...

Python (advanced),LangChain, Transformers (Hugging Face), FastAPI, Streamlit. Pinecone, OpenAI (GPT-4/4o), Azure OpenAI, Ollama, Hugging Face Inference API, Evidently,DVC, MLflow (Experiments + Model Registry),Python,Git, Github

Role Overview: You will be responsible for building and maintaining robust machine learning pipelines to ensure efficient model deployment, monitoring, and lifecycle management within a cloud-based environment. Your expertise in MLOps, specifically with Google Cloud Platform (GCP) and Vertex AI, will be crucial in ensuring model performance drift detection and utilizing GPU accelerators. You will collaborate with cross-functional teams to automate and streamline machine learning model deployment and monitoring, utilizing tools such as Jenkins, GitHub Pipelines, Docker, Kubernetes, and OpenShift. Key Responsibilities: - Build and maintain scalable MLOps pipelines in GCP Vertex AI for end-to-e...

As a Data Scientist, you will play a crucial role in utilizing your expertise in various tools and techniques to derive insights from data. Your primary responsibilities will include: - Utilizing Classification techniques such as Decision Trees and SVM, Distance metrics like Hamming, Euclidean, and Manhattan Distance, as well as Forecasting methods like Exponential Smoothing, ARIMA, and ARIMAX. - Implementing ML Frameworks including TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, and MXNet for model development. - Conducting Statistical analysis and computing using tools like Python, PySpark, R, R Studio, SAS, and SPSS. - Applying Regression models like Linear and Logistic Regression, and c...

As a Senior Data Scientist at the company, you will be responsible for driving the research, development, and deployment of semi-autonomous AI agents to solve complex enterprise challenges. Your role will involve hands-on experience with LangGraph and leading initiatives to build multi-agent AI systems with greater autonomy and decision-making capabilities. The ideal candidate will have deep expertise in LLM orchestration, knowledge graphs, reinforcement learning, and real-world AI applications. **Key Responsibilities:** - Architecting & Scaling Agentic AI Solutions - Design and develop multi-agent AI systems using LangGraph for workflow automation and problem-solving. - Build memory-augment...

You will be responsible for building and maintaining robust machine learning pipelines in a cloud-based environment, ensuring efficient model deployment, monitoring, and lifecycle management. Your expertise in MLOps, specifically with Google Cloud Platform (GCP) and Vertex AI, will be essential. You should have a deep understanding of model performance drift detection and GPU accelerators. Your main tasks will include building and maintaining scalable MLOps pipelines in GCP Vertex AI for end-to-end machine learning workflows, managing the full MLOps lifecycle from data preprocessing to model monitoring and drift detection. Real-time model monitoring and drift detection will be crucial to ens...

The Senior Data Science Lead is a pivotal role responsible for driving the research, development, and deployment of semi-autonomous AI agents to solve complex enterprise challenges. This role involves hands-on experience with LangGraph, leading initiatives to build multi-agent AI systems that operate with greater autonomy, adaptability, and decision-making capabilities. The ideal candidate will have deep expertise in LLM orchestration, knowledge graphs, reinforcement learning (RLHF/RLAIF), and real-world AI applications. As a leader in this space, they will be responsible for designing, scaling, and optimizing agentic AI workflows, ensuring alignment with business objectives while pushing th...