Qureos Mentor

Everforce Software India Pvt.LTD

Job Title: Senior Data Pipeline EngineerLocation: Remote | Chennai, IndiaDuration: 6+ months (extendable based on performance)Experience Required: 8+ yearsWork Timing: Flexible (supporting US &amp; India)Job OverviewWe are seeking an experienced Senior Data Pipeline Engineer with strong expertise in modern data platforms. The ideal candidate will have hands-on experience in building, optimising, and scaling large-scale batch and real-time data pipelines using cutting-edge technologies. This role involves working with cross-functional teams to deliver reliable, high-quality data solutions for enterprise-grade applications.Key Responsibilities- Design, develop, and maintain scalable and reliable data pipelines for both batch and real-time workloads.- Implement real-time event streaming and data ingestion using Apache Kafka.- Build and optimise ETL/ELT workflows on Databricks and integrate with Snowflake for analytics and reporting.- Write efficient, production-ready code in Python, Node.js, and Java.- Collaborate with data scientists, analysts, and business stakeholders to deliver consistent data solutions.- Ensure data quality, governance, and security across platforms.- Monitor, debug, and optimise distributed data systems for high performance.- Lead and mentor junior engineers, promoting best practices in data engineering.Required Qualifications- 8+ years of professional experience in data engineering or software engineering.- Strong expertise in PySpark for distributed data processing.- Hands-on experience with Apache Kafka for data streaming.- Proficiency with Databricks for big data and ML-driven workloads.- Experience with Snowflake for cloud data warehousing.- Advanced programming skills in Python, with proficiency in Node.js and Java.- Solid knowledge of ETL/ELT frameworks, data modelling, and pipelines.- Strong understanding of distributed systems and cloud-based architectures.- Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or a related field.Preferred Skills- Experience with cloud platforms (AWS, Azure, GCP).- Knowledge of CI/CD pipelines and containerization (Docker, Kubernetes).- Familiarity with MLOps and data science workflows.- Strong system design and debugging skills in large-scale environments.- Excellent communication and problem-solving abilities.What We Offer- Opportunity to design and scale enterprise-grade data infrastructure.- Competitive compensation with career growth opportunities.- Flexible and collaborative work environment.Job Type: Contractual / Temporary Contract length: 6 monthsWork Location: In person

Senior Data Pipeline Engineer

Job Opening: Senior AI/ML Engineer Location: Remote | Chennai, India Experience: 8+ years Work Timing: Flexible (supporting US &amp; India) Duration: 6+ months (extendable based on performance)Role Overview: We are looking for a Senior Machine Learning Engineer with strong expertise in building, deploying, and scaling ML solutions for SaaS and enterprise applications. The role involves designing end-to-end ML pipelines, collaborating with cross-functional teams, and ensuring high-quality, scalable, and reliable ML-driven systems.Key Responsibilities:<ul><li>Develop and optimise machine learning models for enterprise solutions.</li><li>Build production-ready ML pipelines for training, deployment, and monitoring.</li><li>Collaborate with product, data, and engineering teams to deliver ML features.</li><li>Ensure systems meet scalability, performance, and security standards.</li><li>Mentor team members and uphold best practices in ML engineering.</li></ul>Required Skills:<ul><li>8+ years of experience in ML engineering/software development.</li><li>Expertise in ML techniques (classification, regression, clustering, recommendations).</li><li>Proficiency in Python, TensorFlow, PyTorch, or scikit-learn.</li><li>Experience with data processing frameworks (Spark, Hadoop).</li><li>Knowledge of CI/CD, testing, and version control.</li><li>Advanced degree (MS/PhD in CS, ML, or related) preferred.</li></ul>Preferred Skills:<ul><li>Cloud experience (AWS, GCP, Azure).</li><li>MLOps tools (MLflow, Kubeflow, Airflow, Docker, Kubernetes).</li><li>Strong system design and architecture knowledge.</li><li>Good communication and collaboration skills.</li></ul>What We Offer:<ul><li>Opportunity to work on impactful enterprise ML projects.</li><li>Competitive compensation.</li><li>Flexible work environment.</li></ul>Job Type: Contractual / Temporary Contract length: 6 monthsWork Location: In person

Senior AI/ML Engineer

Job Title: LLM/SecOps EngineerLocation: Hybrid (with flexibility to commute to Chennai if required)Duration: 6-month contract (extendable based on performance)About the RoleWe are seeking a skilled LLM/SecOps Engineer to join our team on a contractual basis. The ideal candidate will have strong expertise in Large Language Models (LLMs) along with Security Operations (SecOps) to design, build, and secure AI-driven solutions for enterprise-grade environments.Key Responsibilities- Design, develop, and integrate LLM-based applications into enterprise workflows.- Implement SecOps best practices to ensure AI/ML pipelines and systems are secure and compliant.- Automate monitoring, anomaly detection, and incident response using AI/ML.- Collaborate with cross-functional teams (data scientists, DevOps, cloud engineers) to deliver secure and scalable solutions.- Ensure compliance with data security standards (GDPR, ISO, SOC2, etc.).- Perform vulnerability assessments, penetration testing, and risk mitigation.- Maintain documentation, processes, and playbooks for AI and security workflows.Required Skills &amp; Qualifications- 8+ years of experience in AI/ML engineering and Security Operations.- Hands-on experience with LLMs (OpenAI, HuggingFace, LangChain, RAG pipelines).- Strong background in cloud platforms (AWS, Azure, GCP).- Proven knowledge in SIEM, SOAR tools (Splunk, ELK, Sentinel, Cortex, etc.).- Proficiency in Python, Go, or Bash for automation and integration.- Familiarity with MLOps &amp; SecOps practices (Kubeflow, MLflow, Terraform, Ansible).- Strong understanding of Zero Trust security, IAM, and container security (Kubernetes, Docker).Preferred Skills- Certifications such as CISSP, CISM, CKA, CKAD, or cloud security certifications.- Prior experience in AI security, adversarial ML, and secure LLM deployment.- Exposure to regulatory compliance in enterprise environments.What We Offer- Opportunity to work on cutting-edge AI &amp; Security initiatives.- Competitive contract with extension possibilities based on performance.- A collaborative and innovative culture with a focus on learning and growth.Job Type: Contractual / Temporary Contract length: 6 monthsWork Location: In person

LLM/SecOps Engineer

Join Everforce Software India Pvt.LTD and explore 3   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.

Everforce Software India Pvt.LTD

ABOUT_COMPANY

Senior Data Pipeline Engineer

Senior AI/ML Engineer

LLM/SecOps Engineer