MLOps Engineer

Experience: 3+ years of experience in machine learning engineering, with exposure to both classical machine learning methods and language model-based applications Technical Skills: Advanced proficiency in Python and experience with deep learning frameworks such as PyTorch or TensorFlow; expertise with Transformers architectures, LangChain, or similar LLM...

Job DescriptionWe are seeking a highly skilled MLOps Engineer to join our team at Avenga. As a key member of our Data Science team, you will be responsible for the operationalization of our machine learning projects.Key ResponsibilitiesDesign and implement scalable and efficient MLOps pipelines using Kubernetes and popular frameworks such as Kubeflow and AWS...

Job Title: Senior Azure MLOps EngineerWe are seeking a highly skilled Senior Azure MLOps Engineer to join our Global Analytics unit. As a key member of our team, you will play a crucial role in strengthening data-driven decision-making and developing smart data products for day-to-day operations.Key Responsibilities:Collaborate with Data Scientists to...

Experience with Kubernetes Experience in operationalization of Data Science projects (MLOps) using at least one of the popular - frameworks or platforms (e.g. Kubeflow & AWS Sagemaker). Good understanding of ML and AI concepts. Hands-on experience in ML model development. Proficiency in Python used both for ML and automation tasks. Good knowledge of Bash...

You must have: proficiency in the MLOps domain, awareness of best practices, frameworks, tools, strong experience with cloud (AWS, GCP, Azure), ability to design cloud-native applications using dedicated cloud services for: serverless functions, batch processing, managed kubernetes, relational databases, object storage, data warehouses, message buses,...

advanced degree in Computer Science, Statistics, or a related STEM field minimum of 5 years of experience in ML engineering or engineering support for data science in an industrial or commercial setting proven experience with Azure cloud services and infrastructure strong background in operationalizing Data Science projects using Azure experience in...

6+ years of hands-on experience in DevOps/MLOps. 1+ years of working experience with the following toolset: Google Cloud Platform (GCP) Google Cloud Storage Python APIs Dataproc Serverless PySpark Airflow for Data Processing Pipeline Development in GCP Strong ability to design, manage, and customize Airflow pipelines. Proven ability to work independently...

Senior DevOps/MLOps EngineerWe are seeking a highly skilled Senior DevOps/MLOps Engineer to join our team at kloud9. As a key member of our innovative team, you will play a crucial role in designing and implementing scalable solutions on the Google Cloud Platform (GCP).Key Responsibilities:Design and implement scalable DevOps/MLOps solutions using GCP tools,...

At least 4-5 years of experience in data engineering. Proficient with Azure cloud service platform. Documented experience with large databases and data warehouses. Experience in Databricks: Delta Tables, DLT, Unity Catalog, performance tuning, etc. Strong knowledge of Azure services: Azure Data Factory, Azure SQL Database, Azure Key Vault, Azure OpenAI...

Job Title: Senior BI - Data EngineerWe are seeking a highly skilled and experienced Senior BI - Data Engineer to join our team in Wrocław. In this role, you will be responsible for designing and implementing data engineering solutions that empower our business intelligence capabilities. Your daily duties will include working with large databases and data...

Job Title: DataOps Expert Engineer with AWSWe are seeking a highly skilled DataOps Expert Engineer with extensive experience in using and deploying AWS services, software, and cloud databases. This is a technical hands-on role that requires the ability to work independently and own the technical implementation of the data lake environment.Key...

🎯 What you’ll need to succeed in this role: 4+ years of commercial experience in designing and implementing scalable AI solutions (Machine Learning, Predictive Modeling, Optimization, NLP, Computer Vision, GenAI). Proficiency in developing ML algorithms from scratch to production deployment. Strong programming skills in Python: writing clean code, OOP...

About the RoleWe are seeking a highly skilled DataOps Expert Engineer with extensive experience in using and deploying AWS services, software, and cloud databases. As a key member of our team, you will own the technical implementation of the data lake environment, building on our current solution.Key ResponsibilitiesDesign and build an optimal solution to...

You might be the perfect match if you are/have: 4+ years of experience as a Machine Learning Engineer or in a similar role. Skilled in Python, with 3+ years of coding experience in modern programming languages. Experienced with cloud technologies for ML development (Google Cloud preferred) and have a relevant cloud certification (Azure or...

IF YOU ARE A holder of a master's degree in Computer Science or a related field Having 3+ years of relevant experience Hands-on with Python and traditional Python data science and machine learning (DS/ML) stack An expert in ML solutions design patterns and operationalization Skilled with AI/ML and data engineering tools in any major cloud platform Familiar...

About the RoleWe are seeking a highly skilled DataOps Expert Engineer with extensive experience in using and deploying AWS services, software, and cloud databases. This is a technical hands-on role that requires the ability to work independently and own the technical implementation of the data lake environment.Key ResponsibilitiesDesign and build an optimal...

At least 1 year of experience in Scala/MLOPS 2+ years of experience in Spark 3+ years of experience in Machine Learning Projects and/or data science models (trainings, testing and implementations) 3+ years of experience in SQL (T-Sql, PL/SQL, Spark SQL) Experience in Hadoop ecosystem and big data volumes processing in close real time (Hadoop,...

Unlock the Power of AI with AddeptoJoin our team of experts in AI and Big Data to drive innovation and growth in various industries. As a Data Scientist / ML Engineer, you will have the opportunity to work on challenging projects, leveraging cutting-edge technologies and collaborating with top-tier global enterprises.Key Responsibilities:Develop and...

You might be the perfect match if you are/have: 7+ years of professional experience on similar positions (DevOps, Data Engineer, Security Engineer, MLOps, DataOps, etc.); Extensive experience with Amazon Web Services, especially in Filesystem & Object storage (S3), messaging (SQS, SNS) and monitoring (Cloudwatch, Billing and cost management); Previous...

5+ years of proven commercial experience in implementing, developing, or maintaining Big Data systems. Strong programming skills in Python: writing a clean code, OOP design. Experience in designing and implementing data governance and data management processes. Familiarity with Big Data technologies like Spark, Cloudera, Kafka, Airflow,...