2+ Predictive modelling Jobs in Pune | Predictive modelling Job openings in Pune

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.

Job Requirement :

• 3-5 Years of experience in Data Science
• Strong expertise in statistical modeling, machine learning, deep learning, data warehousing, ETL, and reporting tools.
• Bachelors/ Masters in Data Science, Statistics, Computer Science, Business Intelligence,
• Experience with relevant programming languages and tools such as Python, R, SQL, Spark, Tableau, Power BI.
• Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn
• Ability to think strategically and translate data insights into actionable business recommendations.
• Excellent problem-solving and analytical skills
• Adaptability and openness towards changing environment and nature of work
• This is a startup environment with evolving systems and procedures, the ideal candidate will be comfortable working in a fast-paced, dynamic environment and will have a strong desire to make a significant impact on the business.

Job Roles & Responsibilities:

• Conduct in-depth analysis of large-scale datasets to uncover insights and trends.
• Build and deploy predictive and prescriptive machine learning models for various applications.
• Design and execute A/B tests to evaluate the effectiveness of different strategies.
• Collaborate with product managers, engineers, and other stakeholders to drive data-driven decision-making.
• Stay up-to-date with the latest advancements in data science and machine learning.