Role Overview
IBM Consulting is seeking a skilled and analytical Data Engineer - Machine Learning to join our FutureNow Center in Bangalore, Karnataka, India (Hybrid). In this professional software and data engineering role, you will apply advanced Machine Learning concepts, statistical modeling techniques, and data processing workflows to solve complex enterprise business challenges. You will collaborate closely with multi-disciplinary stakeholders to interpret data patterns, engineer feature pipelines, select and benchmark predictive algorithms, and deploy production-ready ML solutions that drive strategic, automated decision-making across global client organizations.
Core Responsibilities
- Machine Learning Solution Delivery: Formulate, develop, and implement machine learning workflows and models tailored to address specific enterprise use cases across diverse industries.
- Feature Engineering & Data Prep: Ingest, preprocess, and interpret complex datasets, performing feature extraction, transformation, and statistical validation to optimize model inputs.
- Algorithm Selection & Benchmarking: Evaluate candidate algorithms against key validation metrics (accuracy, precision, recall, F1-score, latency), establishing baseline benchmarks to meet technical and business objectives.
- Data Pipeline Integration: Build and optimize resilient data processing flows to support model training, continuous evaluation, and real-time or batch inference.
- Model Evaluation & Insights: Implement rigorous statistical testing frameworks, monitor model performance, and synthesize data findings into clear, actionable technical insights for business stakeholders.
- Cross-Functional Collaboration: Partner with consulting leaders, data architects, and client technical teams to translate high-level business requirements into production-ready predictive solutions.
Qualifications & Requirements
- Educational Background: Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Information Technology, or an equivalent quantitative discipline (Master's degree preferred).
- Professional Experience: 3 to 8 years of dedicated experience in data engineering, applied machine learning, or predictive analytics development.
- Core Technical Competencies: Practical hands-on experience applying machine learning algorithms, statistical data analysis, and feature engineering to solve operational problems.
- Evaluation Metrics: Solid understanding of algorithm validation methodologies, performance measurement frameworks, and data interpretation techniques.
- Programming & Data Layer: Strong foundation in Python (or related statistical languages) alongside relational querying (SQL) and data manipulation libraries.
- Preferred Technical Stacks: Familiarity with specialized machine learning libraries (such as scikit-learn, TensorFlow, or PyTorch), deep learning frameworks, natural language processing (NLP), and modern data visualization toolsets.
About IBM Consulting
IBM Consulting is IBM’s consulting and global professional services business, delivering market-leading capabilities across enterprise technology and business transformation. Operating in IBM Consulting FutureNow Centers worldwide, our teams partner with leading global enterprises to design, modernize, and scale mission-critical hybrid cloud, data, and artificial intelligence solutions that deliver measurable business impact.