Senior Principal Consultant - Data Scientists with Computer vision experience!

0 years

0 Lacs

Posted:5 days ago| Platform: Foundit logo

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Job Description



Ready to shape the future of work



At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges.



If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment.



Genpact (NYSE: G) is anadvanced technology services and solutions company that deliverslastingvalue for leading enterprisesglobally.Through ourdeep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead.Powered by curiosity, courage, and innovation,our teamsimplementdata, technology, and AItocreate tomorrow, today.Get to know us atand on,,, and.



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 optimizestate-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&rsquos 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.









Why join Genpact





  • Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation







  • Make an impact - Drive change for global enterprises and solve business challenges that matter







  • Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities







  • Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day







  • Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress





Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up.



Let&rsquos build tomorrow together.






Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.
Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.





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