As an ML Scientist at OptIQ, you will: - Develop, train, and deploy state-of-the-art Generative AI and NLP models to enhance AI-driven security solutions. - Design and optimize AI-Copilot models that assist users in formulating security policies, detecting threats, and responding to risks using natural language. - Build scalable and production-ready ML pipelines for handling large-scale structured and unstructured security data. - Work on NLP-based classification, summarization, and anomaly detection algorithms to improve data security insights. - Develop AI-driven automation and intelligent workflows that help organizations enforce robust security policies. - Collaborate with Data Engineers, Security Experts, and DevOps teams to integrate ML models into production environments. This role offers the chance to work on cutting-edge technologies, drive impactful solutions, and be a pivotal part of a company that is transforming the data security market. What You ll Bring Experience: 1-5 years in Data Engineering Role. Technical Expertise: - Generative AI: Experience with LLMs (GPT, Llama, Claude, or similar) and fine-tuning pre-trained models for security use cases. - AI-Copilot Development: Familiarity with building AI-assistants or AI-driven copilots for enterprise applications. - NLP & Deep Learning: Strong expertise in transformer models (BERT, T5, Llama, etc.), text classification, summarization, and Named Entity Recognition (NER). - ML Frameworks: Proficiency in TensorFlow, PyTorch, Hugging Face, LangChain, or OpenAI APIs. - Data Processing & Feature Engineering: Experience handling large-scale datasets using Spark, Dask, or Pandas. - ML Deployment & MLOps: Hands-on experience with MLflow, Docker, Kubernetes, and cloud-based AI services (AWS Sagemaker, Azure AI, GCP Vertex AI). - Programming Languages: Proficiency in Python and familiarity with SQL for data querying.n. Mindset: - Entrepreneurial spirit with a "get-things-done" attitude and a commitment to delivering high-quality solutions. - Comfort working in an unstructured, fast-paced startup environment. - Passion for solving complex problems and driving innovation in a high-growth company. Education: B.Tech in Computer Science or equivalent.

About the Role: As a Senior Data Engineer at OptIQ, you will: - Design, build, and optimize scalable data pipelines to process petabyte-scale datasets efficiently. - Develop and maintain ETL pipelines for structured and unstructured data from multiple cloud and on-prem sources. - Architect, implement, and manage Big Data frameworks such as Apache Spark, Hadoop, and other distributed systems. - Set up end-to-end ML data pipelines, enabling seamless model training and inference. - Collaborate with Data Scientists, DevOps, and Security teams to develop robust data pipelines that power AI-driven security solutions. - Optimize query performance and data storage strategies for efficient retrieval and processing of massive datasets. - Lead best practices for data engineering, automation, and CI/CD integration to streamline data workflows. This role offers the chance to work on cutting-edge technologies, drive impactful solutions, and be a pivotal part of a company that is transforming the data security market. What You ll Bring Experience: 1-5 years in Data Engineering Role. Technical Expertise: - Big Data & Distributed Systems: Strong experience with Apache Spark, Hadoop, Kafka, and Flink. - ETL Pipelines: Expertise in building and maintaining ETL workflows to process structured and unstructured data. - ML Pipelines: Experience in developing data pipelines to support machine learning models, including feature engineering and model inference. - Data Pipeline Architecture: Proven track record of setting up scalable data pipelines from scratch and handling petabyte-scale data loads. - Cloud Data Platforms: Strong knowledge of AWS (Glue, Redshift, EMR), Azure (Data Lake, Synapse), or GCP (BigQuery, Dataflow). - Data Storage & Optimization: Experience with columnar storage formats (Parquet, ORC), data partitioning, and indexing strategies. - Programming: Proficiency in Python for data processing and scripting.CI/CD & DevOps: Familiarity with Terraform, CloudFormation, Docker, Kubernetes, and CI/CD pipelines for data workflows. - Monitoring & Logging: Experience with Prometheus, Grafana, ELK stack, or similar tools for monitoring data pipeline health. Mindset: - Entrepreneurial spirit with a "get-things-done" attitude and a commitment to delivering high-quality solutions. - Comfort working in an unstructured, fast-paced startup environment. - Passion for solving complex problems and driving innovation in a high-growth company. Education: B.Tech in Computer Science or equivalent.

We re a fast-growing, high-potential startup redefining data security, and we re looking for a Software Architect to join us on this exciting journey. This is an incredible opportunity to lead a talented engineering team and shape the foundational architecture of a revolutionary product. About the Role: As a DevOps Engineer at OptIQ, you will: - Design, develop, and deliver end-to-end infrastructure and services for OptIQs innovative platform. - Solve complex engineering challenges, including building high-throughput data pipelines for machine learning jobs handling petabyte-scale data. - Lead and mentor a team of dynamic engineers, fostering a collaborative and innovative environment. - Take ownership of critical architectural decisions to ensure scalability, security, and efficiency. This role offers the chance to work on cutting-edge technologies, drive impactful solutions, and be a pivotal part of a company that is transforming the data security market. What You ll Bring Experience: 8+ years in DevOps, Cloud Engineering, or Site Reliability Engineering roles. Technical Expertise: - Strong expertise in at least 2 cloud platforms (AWS, Azure, or Google Cloud). - Certifications: Should have worked compliance certifications like ISO, SOC2, PIC-DSS, and HIPAA. - Must have worked on on-prem systems - Proficiency in IaC tools like Terraform, CloudFormation, or Ansible. - Experience with CI/CD tools such as Jenkins, and GitLab CI/CD. - Skilled in containerization and orchestration (Docker, Kubernetes). - Familiarity with monitoring tools like Prometheus, Grafana, or ELK stack. - Programming: Proficiency in scripting languages (Python, Bash) and knowledge of at least one programming language. - Soft Skills: Strong communication skills with customers, problem-solving abilities, and experience in cross-functional team collaboration. Mindset: - Entrepreneurial spirit with a "get-things-done" attitude and a commitment to delivering high-quality solutions. - Comfort working in an unstructured, fast-paced startup environment. - Passion for solving complex problems and driving innovation in a high-growth company. Education: B.Tech in Computer Science or equivalent.