Data Science
Amazon Web Services (AWS)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.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Oneture Technologies
About
Founded in 2016, Oneture is a cloud-first, full-service digital solutions company, helping clients harness the power of Digital Technologies and Data to drive transformations and turning ideas into business realities. Our team is full of curious, full-stack, innovative thought leaders who are dedicated to providing outstanding customer experiences and building authentic relationships.
We are compelled by our core values to drive transformational results from Ideas to Reality for clients across all company sizes, geographies, and industries. The Oneture team delivers full lifecycle solutions—from ideation, project inception, planning through deployment to ongoing support and maintenance. Our core competencies and technical expertise includes Cloud powered: Product Engineering, Bigdata and AI ML. Our deep commitment to value creation for our clients and partners and “Startups-like agility with Enterprises-like maturity” philosophy has helped us establish long-term relationships with our clients and enabled us to build and manage mission-critical platforms for them.
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