ML Scientist
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OptIQ is revolutionizing the data security landscape by building the world's first AI-Data Security Engineer. Our platform empowers organizations to classify sensitive data, identify risky data movements, detect misuse, and create security policies using natural language. With an AI-powered Threat Detection Engine, OptIQ analyzes events from cloud and endpoint logs to uncover dynamic risks such as data exfiltration and breaches. By providing comprehensive visibility into the data landscape, assessing risks, and enforcing robust security policies, OptIQ ensures compliance with data protection regulations across cloud and SaaS environments.

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 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.

Why Join OptIQ?
At OptIQ, you’ll have the unique opportunity to:
- Be a ML Scientist at an early-stage startup, shaping the future of our product and company.
- Own projects end-to-end and see the tangible impact of your work.
- Work in a collaborative, innovative environment with A players who are passionate about solving complex challenges.
- Grow rapidly with the company, developing both technical and leadership skills.

Perks and Benefits:
- Competitive compensation, including:
     - Relocation Bonus
      - Joining Bonus
     - Retention Bonus
- Comprehensive healthcare coverage.
- Flexible work schedule with remote work options.
- Monthly internet reimbursement.
- Weekly team parties and monthly outings to celebrate successes.
- A modern, well-equipped office with free meals and snacks.
- Experience building a revolutionary product alongside a team of talented engineers.