Location: Hybrid / Remote
Experience: 8–10+ years
Company: Open Insights

Apply at: HR@open-insights.com

We are particularly interested in candidates who can bridge the gap between business strategy and modern AI capabilities, including GenAI and agent-based systems.

About Open Insights

Open Insights is a data and AI consulting firm focused on helping organizations unlock real business value through data-driven decision-making and scalable AI solutions. We work at the intersection of strategy, data, and AI, delivering practical and production-ready solutions.

Role Overview

We are looking for a Senior Data & AI Consultant with 8–10+ years of experience to lead and deliver data, analytics, and AI transformation initiatives, including modern AI and GenAI use cases.

This role requires a strong blend of consulting, strategic thinking, and hands-on understanding of modern data and AI ecosystems.

Responsibilities

• Lead Data & AI strategy and transformation engagements
• Identify and prioritize high-value AI / GenAI use cases
• Design data platforms, AI architectures, and implementation roadmaps
• Translate business problems into data science and AI solutions
• Drive end-to-end delivery from use case definition to deployment
• Work closely with engineering teams on model development and MLOps
• Engage senior stakeholders and support decision-making with data insights
• Support pre-sales, proposals, and thought leadership
• Define KPIs, value tracking, and ROI measurement frameworks
• Ensure adherence to model governance, explainability, and scalability standards

Required Qualification

• 8–10+ years of experience in data, analytics, AI, or consulting roles
• Strong experience in client-facing consulting and stakeholder engagement
• Proven track record in delivering data & AI transformation programs

Strong understanding of:

• Data strategy, data architecture, and data platforms
• AI/ML lifecycle (problem framing → model → deployment → monitoring)
• Advanced analytics and statistical modeling
• Business translation of AI use cases

AI / Data Science & Technical Expertise

• Candidates should have hands-on or strong conceptual understanding of:
• Machine Learning & Data Science
• Supervised & unsupervised learning (classification, regression, clustering)
• Time series forecasting, anomaly detection
• Model evaluation, feature engineering, hyperparameter tuning
• Experience with libraries: Scikit-learn, XGBoost, LightGBM, TensorFlow, PyTorch

GenAI & LLM Ecosystem

• Experience with LLMs (GPT, Llama, Claude, etc.)
• Prompt engineering and evaluation techniques
• Retrieval-Augmented Generation (RAG) architectures
• Vector databases (FAISS, Pinecone, Weaviate)
• Frameworks: LangChain, LlamaIndex, Semantic Kernel
• Fine-tuning / instruction tuning concepts (LoRA, adapters)

MLOps & Model Lifecycle

• Model versioning, experiment tracking (MLflow, Weights & Biases)
• CI/CD for ML pipelines
• Monitoring model performance and drift
• Deployment patterns (APIs, batch, real-time)

Tools & Platforms (Preferred Exposure)

• Cloud Platforms: AWS, Azure, or GCP
• Data Stack: SQL, Python, Spark, Databricks
• Visualization: Power BI, Tableau
• AI Coding Tools: GitHub Copilot, Cursor, ChatGPT
• Workflow/Orchestration: Airflow, Prefect
• Version Control: GitHub / GitLab

Preferred Qualifications

• Experience in GenAI use cases (chatbots, copilots, document AI, agents)
• Exposure to data governance, model risk, and responsible AI practices
• Experience in public sector, mobility, or smart city domains (plus)
• Familiarity with Agile / Scrum delivery models
• Background in top-tier consulting firms is a plus

Apply Now

HR@open-insights.com