Data Architects and Scientists -2026
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SEKROND AB provides services in the form of Technology Consulting and Outsourcing, Management Consulting, Product development and other similar activities in ICT, Telecommunications, Financial, Renewable/Non-renewable Energy spheres as well as Sales, marketing and maintenance of ICT software and hardware to clients.
We are hiring energetic and solution driven candidates for the following positions:
- Data Scientists/Data Engineers
- Data Architects/Designers
Qualifications and Expertise Desired
Data Scientists/Data Engineers
- Bachelor or Master Degree in IT, EE, Computer Science, Software Engineering or relevant education or work experience.
- Good communication skills in English.
- Team player.
- DevSecOps expertise in any of the Cloud-based Platforms (Microsoft Azure, AWS, Google Cloud)
- Hands-on experience with DevSecOps,data modelling tools, Big data Engineering/analytics tools and technologies (Python Libraries, GCP Vertex AI, BigQuery, GCS,Cloud Composer/Apache Airflow, DataFlow/Apache Beam, Apache Flink, Kafka, Azure Databricks, Apache Spark, Microsoft Azure ML, AWS SageMaker, Katib, Kserve, Polly, Speech Services, Jupyter Notebooks,Seldon Core,Git, etc)
- Working knowledge of deep learning architectures for computer vision,NLP, GenAI/LLMOps (instruct tuning, SFT, RLHF) and AI frameworks and Libraries (Hugging Face, LangChain, Scikit-Learn, TensorFlow, CNTK,XGBoost,Lamini, Chainlit,etc)
- Experience with Prompt Engineering, RAG, Fine-Tuning and in developing and maintaining CI/CD pipelines for application deployment.
- Working knowledge of at least one Business Intelligence tool and visualization frameworks (Kinesis, Stream Analytics, Elastic Search, PowerBI, Tableau,QuickSight,etc)
- Proficient in data Observability stack (ELK, Grafana, OpenTelemetry, Prometheus,etc)
- Linux/UNIX operating System competence. Working knowledge in other Software Development environments are also desired.
- Working knowledge of data modelling and data architectures.
- Working knowledge of Kubernetes based platforms.
- Working knowledge of Cybersecurity Best Practices and AI governance best practices.
- Working knowledge of SQL, NoSQL and Vector Databases(SQL Server, CosmoDB,DynamoDB,LlamaIndex, MongoDB, Cassandra, Milvus,Redis, etc).
- Working knowledge of Event Driven technologies e.g. Kafka, MQTT,RabbitMQ,Pub/Sub, etc.
- Working knowledge of ITILv3 lifecycle methodology, Agile Software Development processes, AI regulatory frameworks (e.g. EU AI Act) and verification frameworks (VerifyML,FairLearn,etc).
- Scripting expertise- Python, R ,Bash, PowerShell, etc
- Software Development background in at least 2 of the following programming languages – Java, C/C++,.NET, C#, GoLang.
- Working knowledge of workload scheduling applications like Slurm or PBS or IBM Spectrum LFS will be an added advantage.
Data Architects/Designers
- Bachelor or Master Degree in IT, EE, Computer Science, Software Engineering or relevant education or work experience.
- Good communication skills in English.
- Team player.
- DevSecOps expertise in any of the Cloud-based Platforms (Microsoft Azure, AWS, Google Cloud)
- Hands-on experience with DevSecOps,data modelling tools, Big data Engineering/analytics tools and technologies (Python Libraries, GCP Vertex AI, BigQuery, GCS,Cloud Composer/Apache Airflow, DataFlow/Apache Beam, Apache Flink, Kafka, Azure Databricks, Apache Spark,Microsoft Azure ML, AWS SageMaker, Katib, Kserve, Polly, Speech Services, Jupyter Notebooks,Seldon Core,Git, etc)
- Working knowledge of deep learning architectures for computer vision,NLP, GenAI/LLMOps (instruct tuning, SFT, RLHF) and AI frameworks and Libraries (Hugging Face, LangChain, Scikit-Learn, TensorFlow, CNTK,XGBoost,Lamini, Chainlit,etc)
- Competent in at least one Big data platform and related Analytics and processing services (RedShift, Synapse Analytics, Data Explorer, EMR, HDInsight, Data Lake, Data Pipeline, etc)
- Proficient in data Observability stack (ELK, Grafana, OpenTelemetry, Prometheus,etc)
- Working knowledge of Kubernetes based platforms (OpenShift,MiniKube,Kubeflow)
- Competence in data management, data analysis and integration services (SSAS, SSIS,SSRS)
- Working knowledge of at least one Business Intelligence tool and visualization frameworks (Kinesis, Stream Analytics, Elastic Search, PowerBI, Tableau,QuickSight,etc)
- Working knowledge of Cybersecurity Best Practices.
- Working knowledge of SQL, NoSQL and Vector Databases (SQL Server, CosmoDB,DynamoDB,LlamaIndex, MongoDB, Cassandra, Milvus, Redis, etc).
- Linux/UNIX operating System. Working knowledge in other Software Development environments such as Android,iOS are also desired.
- Working knowledge of ITILv3 lifecycle methodology, Agile Software Development processes and AI regulatory (EU AI Act) and verification frameworks (VerifyML,FairLearn,etc).
- Working knowledge of ICT and Automotive Standards and Frameworks such as 3GPP, ISO27001, ISO26262 is desired but not mandatory.
- Scripting expertise- Python, Perl,Bash,PowerShell,etc.
- Software Development background in Java, C/C++,GoLang will be an added advantage.
Kindly send your resumes to info@sekrond.com. Only applications sent to the mailbox will be reviewed.
Kindly quote SEKROICT2026-Data as reference in the applications.
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