Qureos Mentor

ixceed

Role: Lead Data EngineerLocation: Chennai Mode: HybridType: PermanentJob Description:ob Description:We are looking for a Senior Data Engineer with strong expertise in Scala, Apache Spark, and PySpark to join our team for a high-impact project. The ideal candidate will play a leading role in developing and optimizing big data solutions on cloud-based platforms like Databricks.Key Responsibilities:<ul><li>Develop scalable data pipelines and applications using Scala, Spark, and PySpark</li><li>Collaborate with cross-functional teams to design, build, and maintain robust data solutions</li><li>Optimize data workflows for performance and scalability on Databricks</li><li>Mentor junior team members and provide technical leadership in data engineering practices</li><li>Participate in code reviews and ensure best practices are followed</li></ul>Required Skills:<ul><li>Strong hands-on experience in Scala programming (must-have)</li><li>Solid experience with Apache Spark and Databricks</li><li>Proficient in PySpark and Python</li><li>Experience building and maintaining large-scale data processing systems</li><li>Strong understanding of distributed computing principles</li><li>Ability to write clean, maintainable, and efficient code</li></ul>Nice to Have:<ul><li>Experience with cloud platforms (e.g., Azure, AWS, or GCP)</li><li>Knowledge of ELT/ETL frameworks and data orchestration tools</li><li>Familiarity with CI/CD for data pipelines</li></ul>Job Type: PermanentPay: &#8377;3,000,000.00 - &#8377;3,500,000.00 per yearExperience:<ul><li>Scala programming : 5 years (Required)</li><li>Spark: 3 years (Required)</li><li>Pyspark: 3 years (Required)</li><li>Spark (Databricks): 3 years (Required)</li><li>Total: 10 years (Required)</li></ul>Work Location: In person

Senior Data Engineer

Role: Principal Data EngineerLocation: HyderabadMode: HybridType: ContractJob Description: We are seeking a Principal Data Engineer with strong enterprise-level data architecture and engineering experience, specifically within the logistics and manufacturing domains. This role is heavily focused on architecting and developing scalable data solutions using the Azure ecosystem, including Databricks, ADF, Synapse, and PySpark.Key Responsibilities:<ul><li>90% focus on data architecture and hands-on development</li><li>10% involvement in stakeholder collaboration</li><li>Design and build scalable data pipelines and models in Azure</li><li>Implement best practices in data engineering and architecture</li></ul>Required Skills:<ul><li>Strong experience in Azure Data Engineering (ADF, Databricks, Synapse)</li><li>Proficient in PySpark, Python, and SQL</li><li>Solid understanding of data modeling (conceptual/logical/physical)</li><li>Experience with tools like Erwin, Toad, and Snowflake is a plus</li><li>Domain expertise in logistics/supply chain or HR domain</li></ul>Job Type: PermanentPay: &#8377;3,000,000.00 - &#8377;4,000,000.00 per yearExperience:<ul><li>Databricks: 4 years (Required)</li><li>Total: 10 years (Required)</li><li>ADF: 3 years (Required)</li><li>Pyspark: 2 years (Required)</li><li>Python: 2 years (Required)</li><li>Data Modelling: 3 years (Required)</li><li>Snowflake tools : 3 years (Required)</li><li> HR domain: 2 years (Required)</li></ul>Work Location: In person

Principal Data Engineer

Role: ML Engineer / ML Ops EngineerLocation: RemoteMode: OnsiteType: PermanentJob Description:Task Description: <ul><li>University Degree in Computer Science, Information Technology, or related field</li><li>5+ years of experience in the Machine Learning Operations role</li><li>Design the data pipelines and engineering infrastructure to support our clients&rsquo; enterprise machine learning systems at scale</li><li>Take offline models data scientists build and turn them into a real machine learning production system</li><li>Develop and deploy scalable tools and services for our clients to handle machine learning training and inference</li><li>Identify and evaluate new technologies to improve performance, maintainability, and reliability of our clients&rsquo; machine learning systems</li><li>Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc.</li><li>Support model development, with an emphasis on auditability, versioning, and data security</li><li>Facilitate the development and deployment of proof-of-concept machine learning systems</li><li>Communicate with clients to build requirements and track progress</li><li>Strong analytic skills related to working with structured, semi-structured and unstructured datasets</li><li>Advanced Machine learning techniques: Decision Trees, Random Forest, Boosting Algorithm, Neural Networks, Deep Learning, Support Vector Machines, Clustering, Bayesian Networks, Reinforcement Learning, Feature Reduction</li></ul>Job Type: PermanentPay: &#8377;2,000,000.00 - &#8377;2,800,000.00 per yearApplication Question(s):<ul><li>Immediate joiner only</li></ul>Experience:<ul><li>Machine Learning Operations: 5 years (Required)</li></ul>Work Location: Remote

Machine Learning Operations Engineer

Role: Gen AI EngineerLocation: DelhiMode of Work : HybridNotice Period : 0-25 DaysJob Description:Key Responsibilities:<ul><li>Designing and Developing AI Models: This includes creating architectures, algorithms, and frameworks for generative AI applications.</li><li>Implementing AI models: This involves building and integrating AI models into existing systems and applications.</li><li>Working with LLMs and other AI technologies: This includes using tools and techniques like LangChain, Haystack, and prompt engineering.</li><li>Data preprocessing and analysis: This involves preparing data for use in AI models.</li><li>Collaborating with other teams: This includes working with data scientists, product managers, and other stakeholders.</li><li>Testing and deploying AI models: This involves evaluating model performance and deploying them to production environments.</li><li>Monitoring and optimizing AI models: This involves tracking model performance, identifying issues, and optimizing models for better results.</li><li>Staying up to date with the latest advancements in Gen AI: This includes learning about new techniques, models, and frameworks.</li></ul>Required Skills:<ul><li>Strong programming skills in Python: Python is the preferred language for AI development.</li><li>Knowledge of Generative AI, NLP, and LLMs: This includes understanding the principles behind these technologies and how to use them effectively.</li><li>Experience with RAG pipelines and vector databases: This includes understanding how to build and use retrieval-augmented generation pipelines.</li><li>Familiarity with AI frameworks and libraries: This includes knowledge of frameworks like LangChain, Haystack, and open-source libraries.</li><li>Understanding of prompt engineering and tokenization: This includes understanding how to optimize prompts and manage tokenization.</li><li>Experience in integrating and fine-tuning AI models: This includes knowledge of deploying and maintaining AI models in production environments.</li><li>Excellent communication and problem-solving skills: This includes the ability to communicate complex technical concepts to non-technical stakeholders.</li></ul>Optional Skills:<ul><li>Experience with cloud computing platforms (GCP, AWS, Azure): This can help deploy and manage AI models.</li><li>Familiarity with MLOps practices: This can help with building and deploying AI models in a scalable and reliable manner.</li><li>Experience with DevOps practices: This can help with automating the development and deployment of AI models.</li></ul>Job Type: PermanentPay: &#8377;2,000,000.00 - &#8377;3,000,000.00 per yearExperience:<ul><li>Total: 6 years (Required)</li><li>GenAI : 3 years (Required)</li><li>Python : 4 years (Required)</li><li>LLM : 3 years (Required)</li><li>OpenAI, Claude, Gemini : 4 years (Required)</li><li>Azure : 3 years (Required)</li><li>LangChain and LangGraph: 1 year (Required)</li></ul>Work Location: In person

Generative AI Engineer

Join ixceed and explore 4   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

ixceed

ABOUT_COMPANY

Senior Data Engineer

Principal Data Engineer

Machine Learning Operations Engineer

Generative AI Engineer