Senior Principal Consultant-Data Scientists with AI and Generative Model experience!

Inviting applications for the role of Senior Principal Consultant - Data Scientists with Computer vision experience!

We are seeking a tenured and highly skilled Data Scientist with deep expertise in Computer Vision and a strong foundation in AI / ML modeling. The ideal candidate will not only lead the development of intelligent vision systems but will also serve as a technical mentor, providing guidance to junior data scientists on model selection, optimization, and deployment strategies. Experience in domains such as energy, power generation, industrial equipment, or manufacturing will be considered a strong advantage, as the role involves solving real-world visual AI / ML problems in industrial environments.

Key Responsibilities :

Lead CV Projects : Design and deliver Computer Vision models across a range of use cases (e.g., anomaly detection, visual inspections, OCR, predictive maintenance).

Model Development : Develop, evaluate, and optimize state-of-the-art AI / ML models (e.g., CNNs, Vision Transformers, YOLO, Faster R-CNN, etc.).

Mentorship : Guide junior and mid-level data scientists on best practices in feature engineering, model selection, evaluation metrics, and problem-solving strategies.

Domain Translation : Translate complex industrial problems into AI-driven CV solutions that can scale in production environments.

Collaboration : Work closely with software engineers, MLOps , and business teams to ensure model integration and operational success.

Code Quality & Experimentation : Drive code modularity, reproducibility, and experimentation through use of ML pipelines, version control, and testing.

Innovation & Research : Stay current with latest CV and AI / ML advancements and apply them appropriately to business problems.

Stakeholder Communication : Present insights, models, and outcomes in a clear and impactful way to both technical and non-technical stakeholders.

Qualifications we seek in you!

Minimum Qualifications

Master's or PhD in Computer Science, Machine Learning, AI, Electrical Engineering, or a related field .

industry experience in building and deploying machine learning models, with a strong portfolio in Computer Vision.

Deep expertise in ML frameworks and CV libraries such as PyTorch , TensorFlow, OpenCV, Detectron2, MMDetection , etc.

Solid understanding of core AI / ML algorithms - classification, regression, segmentation, object detection, time-series, clustering, etc.

Experience with MLOps tools (e.g., MLflow , DVC, Kubeflow) and cloud platforms (AWS / GCP / Azure).

Strong communication, leadership, and team collaboration skills .

Preferred Qualifications :

Prior experience in domains such as energy, utilities, power generation, or industrial systems is highly preferred.

Experience deploying CV models within real-time environments.

Contributions to open-source CV projects or published research.

Proficient in statistical modelling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc.

Lead the development of CI / CD pipelines and standardize deployment frameworks.

Strong Python programming skills.