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Pune, Mumbai, Bengaluru (Bangalore)
4 - 8 yrs
Upto ₹26L / yr (Varies )
Data ScienceDemand forecasting
Predictive modelling
Forecasting
Time series
+6 more
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.
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Mumbai
1 - 5 yrs
₹3L - ₹15L / yr
Data ScienceDecision Science
Data modeling
Statistical Modeling
Python +3 more
About us:
Quantiphi is a category defining Data Science and Machine Learning Software and Services Company focused on helping organizations translate the big promise of Big Data & Machine Learning technologies into quantifiable business impact. We were founded on the belief that machine learning and artificial intelligence are transformative technologies that will create the next quantum gain in customer experience and unit economics of businesses. Quantiphi helps clients find and capture hidden value from data through a unique blend of business acumen, big-data, machine learning and intuitive information design.
AthenasOwl (AO) is our “AI for Media” solution that helps content creators and broadcasters to create and curate smarter content. We launched the product in 2017 as an AI-powered suite meant for the media and entertainment industry. Clients use AthenaOwl's context adapted technology for redesigning content, taking better targeting decisions, automating hours of post-production work and monetizing massive content libraries. Please Find Attached fact sheet for your reference.
For more details visit: www.quantiphi.com ; www.athenasowl.tv
Job Description:
-Developing high-level solution architecture related to different use-cases in the media industry
-Leveraging both structured and unstructured data from external sources and our proprietary AI/ML models to build solutions and workflows that can be used to give data driven insights.
-Develop sophisticated yet easy to digest interpretations and communicate insights to clients that lead to quantifiable business impact.
-Building deep relationship with clients by understanding their stated but more importantly, latent needs.
-Working closely with the client-side delivery managers to ensure a seamless communication and delivery cadence.
Essential Skills and Qualifications:
-Hands-on experience with statistical tools and techniques in Python
-Great analytical skills, with expertise in analytical toolkits such as Logistic Regression, Cluster Analysis, Factor Analysis, Multivariate Regression, Statistical modelling, predictive analysis.
-Advanced knowledge of supervised and unsupervised machine learning algorithms like Random Forest, Boosting, SVM, Neural Networks, Collaborative filtering etc.
-Ability to think creatively and work well both as part of a team and as an individual contributor
-Critical eye for the quality of data and strong desire to get it right
-Strong communication skills.
-Should be able to read a paper and quickly implement ideas from scratch.
-A pleasantly forceful personality and charismatic communication style.
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