drjobs Data Scientist

Data Scientist

Employer Active

1 Vacancy
drjobs

Job Alert

You will be updated with latest job alerts via email
Valid email field required
Send jobs
Send me jobs like this
drjobs

Job Alert

You will be updated with latest job alerts via email

Valid email field required
Send jobs
Job Location drjobs

Bangalore - India

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Position Description:

At CGI were a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72000 professionals located in 40 countries. Founded in 1976 CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources expertise stability and dedicated professionals needed to achieve. At CGI were a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72000 professionals located in 40 countries. Founded in 1976 CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources expertise stability and dedicated professionals needed to achieve results for our clients - and for our members. Come grow with us. Learn more at .

This is a great opportunity to join a winning team. CGI offers a competitive compensation package with opportunities for growth and professional development. Benefits for full-time permanent members start on the first day of employment and include a paid time-off program and profit participation and stock purchase plans. We wish to thank all applicants for their interest and effort in applying for this position however only candidates selected for interviews will be contacted. No unsolicited agency referrals please.

Your future duties and responsibilities:

Job Title: Data Scientist
Position: Associate Consultant
Experience : 4 to 7 Years
Main location: Bangalore/Chennai/Hyderabad
Position ID: J0825-0344
Employment Type: Full Time

We are seeking a talented and experienced Data Scientist / MLOps Engineer to join our this role you will be responsible for developing and operationalizing machine learning models with a focus on NLP sentiment analysis scoring app recommendations and sales forecasting. You will work closely with cross-functional teams to implement these solutions using Google Cloud services Kubernetes and containerization technologies.

Key Responsibilities:

Develop and implement machine learning models for NLP sentiment analysis and scoring
Create and optimize app recommendation systems using advanced ML techniques
Build and maintain sales forecasting models to drive business insights
Design and implement MLOps pipelines for model training deployment and monitoring
Containerize ML applications and deploy them on Kubernetes clusters
Collaborate with data engineers to design and implement data ingestion and wrangling pipelines using Google Cloud services
Utilize BigQuery for large-scale data analysis and feature engineering
Continuously improve model performance and operational efficiency

Required qualifications to be successful in this role:

Masters degree in Computer Science Data Science or a related field
3 years of experience in machine learning and data science roles
Strong proficiency in Python and data science libraries (e.g. NumPy Pandas Scikit-learn)
Expertise in NLP techniques and frameworks (e.g. NLTK spaCy Transformers)
Experience with recommendation systems and time series forecasting
Solid understanding of MLOps principles and practices
Proficiency in Google Cloud Platform services especially: AI/ML offerings (e.g. Vertex AI AutoML) Data ingestion services (e.g. Cloud Dataflow Cloud Pub/Sub) Data processing services (e.g. Dataprep Cloud Dataproc) BigQuery for large-scale data analysis
Experience with containerization (Docker) and orchestration (Kubernetes)
Familiarity with CI/CD pipelines and version control systems (e.g. Git)

Preferred Qualifications:

Experience with TensorFlow and/or PyTorch
Knowledge of other cloud platforms (e.g. Azure AWS) is a plus
Familiarity with big data technologies (e.g. Spark Hadoop)
Experience with ML model serving frameworks (e.g. TensorFlow Serving KFServing)
Understanding of data privacy and security best practices
Experience with data visualization tools (e.g. Data Studio Looker)

Key Skills:

Machine Learning
Natural Language Processing
Recommendation Systems
Time Series Forecasting
Google Cloud Platform BigQuery Cloud Dataflow Cloud Pub/Sub Dataprep Cloud Dataproc Vertex AI
Kubernetes
Docker
Python
MLOps
Data Analysis and Visualization
Data Ingestion and Wrangling

#LI-SA19

Skills:

  • Natural Language Processing
  • Telecommunications
  • MySQL

What you can expect from us:

Together as owners lets turn meaningful insights into action.

Life at CGI is rooted in ownership teamwork respect and belonging. Here youll reach your full potential because

You are invited to be an owner from day 1 as we work together to bring our Dream to life. Thats why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our companys strategy and direction.

Your work creates value. Youll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas embrace new opportunities and benefit from expansive industry and technology expertise.

Youll shape your career by joining a company built to grow and last. Youll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.

Come join our teamone of the largest IT and business consulting services firms in the world.

Employment Type

Full-Time

Company Industry

About Company

Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.