GBS Engineer
4 days ago
GBS Engineer - Data Science/Machine Learning
Experience: 5 Years
Location: Bangalore, India
Discipline: Data Science/Machine Learning
Job Type: Permanent
Contact Name: Mini Dang
Contact Email:
Job Ref: 84778
Published: about 10 hours ago
Are you a passionate Data Science and Machine Learning professional looking for your next challenge? Join a diverse and innovative team as a GBS Engineer in Bangalore, where you'll create transformative solutions that empower businesses through data-driven insights. With over 5 years of experience, showcase your expertise by developing cutting-edge machine learning models, analyzing complex datasets, and collaborating with global teams to drive impactful business decisions. If you're ready to thrive in an energizing and inclusive environment, this opportunity is for you
Your Future EmployerBe part of a progressive organization committed to leveraging data science and machine learning to shape the future of business operations and strategies. Our inclusive culture values diversity, fosters growth, and champions the power of teamwork and innovation.
Responsibilities- Build and optimize machine learning models to enhance business decision-making.
- Analyze extensive data sets to uncover trends, patterns, and insights.
- Design and manage efficient data pipelines for collecting and processing large datasets.
- Collaborate with cross-functional teams to identify and implement data-driven solutions.
- Research and implement state-of-the-art machine learning algorithms to maintain a competitive edge.
- Present findings and actionable recommendations through visually engaging reports and presentations.
- Perform model testing, validation, and optimization to ensure accuracy and effectiveness.
- Support data governance practices while adhering to ethical and regulatory standards.
- Mentor team members and cultivate a culture of collaboration and learning.
- Bachelors or Masters degree in Computer Science, Data Science, Statistics, or related fields.
- At least 5 years of experience in Data Science and Machine Learning.
- Proficient in programming languages like Python or R, with experience in ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
- Skilled in using big data tools like Hadoop, Spark, or similar technologies.
- Expertise in predictive modeling, NLP, and forecasting techniques.
- Strong knowledge of SQL and familiarity with cloud platforms (AWS, GCP, Azure).
- Analytical mindset with exceptional problem-solving capabilities.
- Excellent communication, collaboration, and project management skills.
- Demonstrated ability to support diversity, equity, and inclusion in team environments.
- Be part of a cutting-edge field at the intersection of data science and machine learning.
- Work in an inclusive workplace that values diversity and innovation.
- Opportunities for professional growth, mentorship, and learning.
- Competitive compensation and benefits package.
- The chance to make a real-world impact with data-driven solutions that transform businesses.
If you feel this opportunity is well aligned with your career progression plans, please feel free to reach me with your updated profile at
DisclaimerCrescendo Global specializes in Senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging, memorable job search and leadership hiring experience. Crescendo Global does not discriminate on the basis of race, religion, color, origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
NoteWe receive a lot of applications daily, which can make it challenging to respond to every candidate. Please assume that your profile has not been shortlisted if you don't hear back from us in 1 week. Your patience is highly appreciated.
Profile KeywordsGBS Engineer, Data Science, Machine Learning, Python, R programming, TensorFlow, PyTorch, Scikit-learn, Hadoop, Spark, Big Data, SQL, AWS, GCP, Azure, Predictive Modeling, NLP, Data Governance, Analyst, Data Pipelines, Bangalore Job, Decision Making, Diversity, Inclusion
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