Senior AI/ML Engineer– Global Data Analytics, Technology (Maersk) A.P. Moller – Maersk is the global leader... while rethinking the way we engage with customers and partners. About the Role We are seeking a Senior AI/ML Engineer...
Location: Bangalore Job Type: Full Time Industry: Agritech Company: KJBN Labs Overview The Senior Data... Engineer will design, develop, and maintain scalable data pipelines and infrastructure to support data-driven decision-making...
We are seeking a highly skilled and motivated Senior DS/ML engineer to join our team. The role is critical to the... a highly skilled Data Scientist / ML Engineer with a strong foundation in data engineering (ELT, data pipelines) and advanced...
. Responsibilities As a Staff Machine Learning Engineer, you will influence technical direction, bridge research and production...-scale implementation Implementing and maintaining robust MLOps practices, including logging, monitoring, and CI/CD...
Experience: 3 years Location: Bengaluru JobType: full-time Requirements: We are seeking a skilled Data Engineer to design.... Preferred / Good-to-Have Skills Experience with MLOps and machine learning pipelines (Databricks, Azure ML). Exposure to API...
and practices around MLOps, including governance, compliance, and data security Uses customer management system to provide status... You’re a highly technical research engineer with a strong understanding of the latest advancements in AI, especially GenAI...
the boundaries of AI and GenAI in cloud operations. As an ML Engineer, you'll design and build intelligent AI solutions... experience with ML frameworks such as PyTorch or TensorFlow. Deep understanding of MLOps practices, including model deployment...
to move quickly from research to impact. Job Overview We are looking for an experienced Machine Learning Engineer..., high-scale systems. Ensure excellence in reliability, observability, and operational rigor through modern MLOps workflows...
Work Flexibility: Hybrid What You Will Do: · Design, build, and maintain end-to-end MLOps pipelines for ML model... years of experience in programming: Python (must), SQL;. MLOps/DevOps Tools: MLflow, Azure DevOps, GitHub Actions, Docker...
Line of Service Advisory Industry/Sector Not Applicable Specialism Emerging Technologies Management Level Senior..., or LangChain. · Collaborate with data engineers and MLOps teams to productionize GenAI models on cloud platforms (Azure/AWS/GCP...
Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 4 years of experience... in Data Science and Machine Learning, with a strong focus on NLP, Generative AI, LLMs, MLOps, Optimization techniques...
Asia Pacific region. Job Description Looking for a highly skilled “Senior Machine Learning Engineering Lead” to oversee... like Docker and Kubernetes. Knowledge of MLOps principles and practices. Background in domain-specific areas (e.g...
MLOps infrastructure to support model training, monitoring, and deployment, leveraging Azure ML, Azure Document Intelligence...
into real-time or high-availability production environments. Familiarity with MLOps practices and tools. Knowledge of data...
AI services with enterprise systems, leveraging OIC where applicable Follow best practices in MLOps, CI/CD, and cloud deployment... orchestration, MLOps practices, OIC knowledge/interest Equinix is committed to ensuring that our employment process is open...
and AIOps excellence, partnering closely with AI Scientists Implement the best AIOps/MLOps techniques to activate AI solutions...+ years of MLOps/AIOps experience, operationalizing real-time ML/AI models with ultra-low latency and high throughput...
: Experience with Jupiter notebooks, MLOPs platforms and Advanced Python is a plus Mfg/Semiconductor process/data domain...
learned ranking models, GenAI/LLM powered recommendations, as well as advanced MLOps in a high volume traffic industrial...
and inference processes and designing, implementing, and delivering frameworks for MLOps. Experience with model lifecycle...
backend engineering and MLOps, in large scale production systems. Experience using common machine learning frameworks (e.g...