Qureos Mentor

Decillion Digital Pvt Ltd

Location: India (Remote / Hybrid) Job Type: Permanent Experience: 3&ndash;7 yearsAbout the Role: Operationalize ML/AI models at scale.Responsibilities:<ul><li>Automate ML pipelines (training, deployment, monitoring).</li><li>Implement model drift detection and retraining workflows.</li><li>Optimize cloud infrastructure for AI.</li></ul>Skills: MLflow, Kubeflow, Airflow, Docker, Kubernetes, Terraform, Azure ML, SageMaker, Vertex AI.Job Type: Full-timeWork Location: Remote

MLOps / AI Platform Engineer

Job description Experience: 3&ndash;7 yearsAbout the Role: Streamline CI/CD pipelines and cloud infrastructure.Responsibilities:<ul><li>Automate deployments with Jenkins/GitLab.</li><li>Manage cloud infrastructure with Terraform/Ansible.</li><li>Deploy containerized apps with Docker/Kubernetes.</li><li>Monitor uptime and security.</li></ul>Skills: AWS/Azure/GCP, Jenkins, Docker, Kubernetes, Terraform, Python/Shell scripting.Job Types: Permanent, Contractual / TemporaryWork Location: In person

DevOps Engineer

Location: Pune / Mumbai / Remote Job Type: Permanent Experience: 3&ndash;7 yearsAbout the Role: Build predictive and generative AI solutions for customer analytics.Responsibilities:<ul><li>Perform EDA, feature engineering, and ML model building.</li><li>Fine-tune and deploy LLMs for GenAI use cases (NLP, summarization, personalization).</li><li>Deploy models with MLOps practices.</li><li>Present insights to stakeholders.</li></ul>Skills: Python, R, TensorFlow, PyTorch, HuggingFace, SQL, Spark, LangChain, MLflow, NLP/LLMs.Job Type: Full-timeWork Location: In person

Data Scientist / GenAI Specialist

Location: Pune / Hyderabad / Bengaluru Job Type: Permanent / Contract Experience: 4&ndash;8 yearsAbout the Role: Build and manage scalable data pipelines and real-time integrations.Responsibilities:<ul><li>Design ETL/ELT pipelines using ADF, Databricks, Informatica, or Talend.</li><li>Work on data modeling, storage, and performance tuning.</li><li>Integrate with Snowflake, Synapse, or BigQuery.</li><li>Enable downstream BI and analytics use cases.</li></ul>Skills: SQL, Python, Spark, Kafka, Airflow, Databricks, Snowflake, ADF, AWS/Azure/GCP.Job Type: PermanentWork Location: In person

Data Engineer (ETL / Cloud / Big Data)

Experience Required: 5&ndash;10 yearsAbout the Role: We are hiring Data Engineers to develop real-time and event-driven data pipelines.Responsibilities:<ul><li>Build real-time data ingestion and transformation pipelines.</li><li>Integrate data lakehouses and streaming platforms.</li><li>Collaborate with data scientists for analytics use cases.</li></ul>Key Skills:<ul><li>Apache Kafka, Flink, Spark Streaming</li><li>Data Lakehouse (Databricks, Snowflake)</li><li>Python/Scala for data engineering</li><li>Cloud data platforms (AWS Redshift, Azure Synapse, BigQuery)</li></ul>Salary/Rate: &#8377;15L &ndash; &#8377;28L per annumJob Type: Full-timeWork Location: Remote

Data / Analytics Engineer (Real-Time & Streaming)