Location
Bangalore | India
Job description
Data Science Developer
Position Description
Internal
What You’ll Do
Carrying out pre-processing of structured and Unstructured data
Propose solutions and strategies to business challenges
Build predictive models and machine-learning algorithms
Coordinate with different functional teams to implement models and monitor outcomes
Evaluating the performance of models and refining them as needed
Look for opportunities to use insights/datasets/code/models across other functions in the organization
Develop custom data models and algorithms to apply to data sets
Deploy, test, validate, and maintain machine learning models in production by collaborating with data engineers
and machine learning engineers.
Developing Prediction systems and machine learning algorithms
Ongoing assessment of the latest AI/ML technologies, packages, and frameworks within the data science
ecosystem
Develop and recommend process standards and best practices in Machine Learning as applicable
Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text
Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like
Tensorflow, Pytorch, etc
Integrating AI&ML models with other applications using REST APIs and other connector technologies
Use of versioning & Collaborative tools like Git / Github
Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API
gateways, microservices based architecture, big data ingestion, storage and processing
Maintain clear and coherent communication, both verbal and written, to understand data needs and report
results
Partner with stakeholders to conduct research, create proof of concepts, and design solutions
Ensuring data privacy and compliance with relevant regulations
Required Skills -
A bachelor's or master's degree in data science, computer science, statistics, or a related field
6 to 10 Yrs. of experience in designing, developing, and deploying production-grade ML/AI Solution
Solid knowledge on machine learning fundamentals
Strong proficiency in Python
Proficiency in SQL/No SQL Databases
Hands-on experience with data analytics and classical machine learning tools (like pandas, NumPy, scikitlearn)and deep learning frameworks(like Tensorflow, Lang Chain, Pytorch, Flask, Fast API).
Expertise on Generative AI (Transformer), Computer Vision and NLP
Excellent written and verbal communication skills
Excellent stakeholder management skills
Ability to tell stories with data, and deliver data-driven insights to a wide range of audiences
Teamworking skills and a collaborative approach to sharing ideas and finding solutions
Your future duties and responsibilities
Required qualifications to be successful in this role
Insights you can act on While technology is at the heart of our clients’ digital transformation, we understand that people are at the heart of business success.
When you join CGI, you become a trusted advisor, collaborating with colleagues and clients to bring forward actionable insights that deliver meaningful and sustainable outcomes. We call our employees “members” because they are CGI shareholders and owners, and, as owners, we enjoy working and growing together to build a company we are proud of. This has been our Dream since 1976, and it has brought us to where we are today—one of the world’s largest independent providers of IT and business consulting services.
At CGI, we recognize the richness that diversity brings. We strive to create a work culture where everyone belongs, and we collaborate with clients in building more inclusive communities. As an equal opportunity employer, we empower all our members to succeed and grow. If you require an accommodation at any point during the recruitment process, please let us know. We will be happy to assist.
Ready to become part of our success story? Join CGI—where your ideas and actions make a difference.
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