Data Scientist

**About Us**:
**Thoucentric is the Consulting arm of Xoriant**, a prominent digital engineering services company with 5000+ employees. We are headquartered in Bangalore with presence across multiple locations in India, US, UK, Singapore & Australia Globally.

As the Consulting business of **Xoriant**, We help clients with Business Consulting, Program & Project Management, Digital Transformation, Product Management, Process & Technology Solutioning and Execution including Analytics & Emerging Tech areas cutting across functional areas such as Supply Chain, Finance & HR, Sales & Distribution across US, UK, Singapore and Australia. Our unique consulting framework allows us to focus on execution rather than pure advisory. We are working closely with marquee names in the global consumer & packaged goods (CPG) industry, new age tech and start-up ecosystem. Xoriant (Parent entity) started in 1990 and is a Sunnyvale, CA headquartered digital engineering firm with offices in the USA, Europe, and Asia. Xoriant is backed by ChrysCapital, a leading private equity firm. Our strengths are now combined with Xoriant’s capabilities in AI & Data, cloud, security and operations services proven for 30 years.

We have been certified as "**Great Place to Work"** by AIM and have been ranked as "50 Best Firms for Data Scientists to Work For".

We have an experienced consulting team of over 450+ world-class business and technology consultants based across six global locations, supporting clients through their expert insights, entrepreneurial approach and focus on delivery excellence. We have also built point solutions and products through Thoucentric labs using AI/ML in the supply chain space.

We are seeking an experienced Computer Vision/ML Engineer to join our team focused on machine vision problems. As a Computer Vision/ML Engineer, you will play a crucial role in developing and implementing cutting-edge computer vision algorithms to ensure the highest quality standards for our products.

**Responsibilities**:

- Develop and implement computer vision and machine learning algorithms to detect and classify defects in manufacturing facility
- Preprocess and augment project datasets.
- Stay up to date with the latest research and advancements in computer vision and machine learning related to defect detection and classification.
- Optimize and fine-tune existing computer vision models to achieve high accuracy and efficiency in classification.
- Conduct thorough experiments and evaluate the performance of models using appropriate metrics and benchmarks.
- Research and develop innovative solutions to address challenges in solving the problem.
- Work closely with software engineers to integrate the models into final production systems.

**Requirements**:

- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
- 3-4 years of professional experience in computer vision and machine learning, with a focus on object detection and classification.
- Strong knowledge of computer vision fundamentals, including image preprocessing, feature extraction, object detection, and image segmentation.
- Proficient in Python.
- Experience with deep learning frameworks such as TensorFlow or PyTorch.
- Familiarity with data augmentation techniques, filtering, and contour extraction.
- Knowledge of state-of-the-art computer vision models and techniques applicable to defect detection and classification tasks.
- Strong problem-solving skills and the ability to work independently and as part of a team.
- Excellent communication and collaboration skills.

**Preferred Qualifications**:

- Experience working on projects related to quality control or inspection in manufacturing environments.
- Familiarity with industrial imaging systems and techniques.
- Understanding of parallel computing and GPU optimization for accelerated model training and inference.

**Benefits**:

- Opportunity to define your career path and not as enforced by a manager
- A great consulting environment with a chance to work with Fortune 500 companies and startups alike.
- A dynamic but relaxed and supportive working environment that encourages personal development.
- Be part of One Extended Family. We bond beyond work - sports, get-togethers, common interests etc. Work in a very enriching environment with Open Culture, Flat Organization and Excellent Peer Group.
- Be part of the exciting Growth Story of Thoucentric

**Required Skills**:

- computer vision- object detection+2

Practice Name

Data Science

Work Mode

Hybrid

Industry

Consulting

Corporate Office

Thoucentric, The Hive, Mahadevapura

Zip/Postal Code

560048

City

Bangalore North

Country

India

State/Province

Karnataka