CGI - Senior Software Engineer - Machine Learning (4-8 yrs)

Job Description :

Data Collection :

- Gathering and analyzing data from different source systems (databases, spreadsheets, etc.) and ensure it is accurate, complete, and usable for predictions.

Data Analysis :

- Analyzing datasets to uncover patterns, trends, correlations, and anomalies.

Modeling & Algorithms :

- Developing machine learning models (supervised, unsupervised, reinforcement learning, etc.) to solve specific business problems, such as predicting customer expected recommendations,

- Present data insights and model outcomes in an easily understandable format using charts, graphs, and dashboards.

Deployment & Monitoring :

- Implementing machine learning models into production systems and monitoring their performance over time.

- Analyze provided data and develop, train, and deploy machine learning models into production environments.

- Hands on Experience on Data analysis and Machine learning Algorithms with real use cases implemented in different commercial systems.

- Preferably having knowledge in telecom OSS domain especially CM area

- Development and deployment experience on Linux and Windows platforms

- Working closely with customer and local teams to understand the problem space, gather requirements, and communicate findings.

- Strong design, implementation, and debug skills.

- Acts as a mentor for team members

- Good communication and team working skills

Required Qualifications : (Education, Technical Skills/Knowledge)

- 4 to 8 years software consulting experience (implementing enterprise software solutions for customers) including direct customer contact

- Proficiency in Python, Postgres, SQL etc. Python with expertise in Pandas, NumPy, Scikit-learn.

Data Manipulation & Analysis :

- Strong skills in data analysis, and identifying uncovered patterns and trends transforming data using tools like Pandas.

- Machine Learning : Experience with various machine learning algorithms (e.g., regression, decision trees, random forests, Bayesian, neural networks, etc.) and the ability to select the right approach based on the problem.

- Mathematics & Statistics : Good to have understanding of probability, statistics, and linear algebra for building models and interpreting results.

- Ability to use tools like Matplotlib for presenting results

- Develop and design python programs, fastAPI based micro services based on customer requirements.

- Knowledge and experience with the professional services project lifecycle (scoping, requirements, construction, QA/test)

- Experience in Telecom SW Domain

- Strong written and verbal communications skills