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About the Role
We are looking for a highly skilled Machine Learning Lead with proven expertise in demand forecasting to join our team. The ideal candidate will have 4-8 years of experience building and deploying ML models, strong knowledge of AWS ML services and MLOps practices, and the ability to lead a team while working directly with clients. This is a client-facing role that requires strong communication skills, technical depth, and leadership ability.
Key Responsibilities
- Lead end-to-end design, development, and deployment of demand forecasting models.
- Collaborate with clients to gather requirements, define KPIs, and translate business needs into ML solutions.
- Architect and implement ML workflows using AWS ML ecosystem (SageMaker, Bedrock, Lambda, S3, Step Functions, etc.).
- Establish and enforce MLOps best practices for scalable, reproducible, and automated model deployment and monitoring.
- Mentor and guide a team of ML engineers and data scientists, ensuring technical excellence and timely delivery.
- Partner with cross-functional teams (engineering, data, business) to integrate forecasting insights into client systems.
- Present results, methodologies, and recommendations to both technical and non-technical stakeholders.
- Stay updated with the latest advancements in forecasting algorithms, time-series modeling, and AWS ML offerings.
Required Skills & Experience
- 4-8 years of experience in machine learning with a strong focus on time-series forecasting and demand prediction.
- Hands-on experience with AWS ML stack (Amazon SageMaker, Step Functions, Lambda, S3, Athena, CloudWatch, etc.).
- Strong understanding of MLOps pipelines (CI/CD for ML, model monitoring, retraining workflows).
- Proficiency in Python, SQL, and ML libraries (TensorFlow, PyTorch, Scikit-learn, Prophet, GluonTS, etc.).
- Experience working directly with clients and stakeholders to understand business requirements and deliver ML solutions.
- Strong leadership and team management skills, with the ability to mentor and guide junior team members.
- Excellent communication and presentation skills for both technical and business audiences.
Preferred Qualifications
- Experience with retail, FMCG, or supply chain demand forecasting use cases.
- Exposure to generative AI and LLMs for augmenting forecasting solutions.
- AWS Certification (e.g., AWS Certified Machine Learning – Specialty).
What We Offer
- Opportunity to lead impactful demand forecasting projects with global clients.
- Exposure to cutting-edge ML, AI, and AWS technologies.
- Collaborative, fast-paced, and growth-oriented environment.
- Competitive compensation and benefits.
We're hiring an experienced SAP IBP Consultant with 6+ years of expertise in Demand and Supply Planning. The ideal candidate should have strong skills in key figure modeling, time series planning, and integration with S/4HANA or ECC. Prior experience with planning operators, forecast models, and Excel Add-in is required.