9+ Predictive analytics Jobs in India

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.

What You'll Do

●       Develop embedded system architecture that is efficient and scalable

●       Develop multi-device system design, envision customer interaction, and corner cases to build issue-free design

●       Develop firmware code for Interrupt driven system which interacts with Android and cloud

●       Implement function safety, protection and security in the embedded system

●       Implement predictive hardware failure features

Who You Are?

●       Passionate individual who loves to work on embedded systems. a person who likes to drive things actively rather than waiting for tasks to get assigned.

●       Strong programming capabilities

●       Understanding of electronics and hardware

●       Clear thought process, believe in simplifying rather than complicating

●       Argue and fight over the opinions. Believe in delivering the best for the users

You Should Have

●       3+ year experience in embedded system design

●       Mastery in C/C++ for embedded systems. Strong fundamentals of Microcontrollers and their common peripherals.

●       Strong basics of C/C++, memory map, compiler functionality

●       Done multiple projects during graduation/post-graduation. Participated and performed in tech competitions. 

●       Experience working with actuators like motors (DC/brushless), LED/LCD and HMI interfaces, speakers, sensors etc

●       Experience working with motor control algorithms and PID controllers

• Proficiency with Linux OS and basic bash scripting

The role of a Personal Loan Risk Head is to own, manage and communicate risk policies and processes. He/She shall provide hands-on development of risk models involving market, credit and operational risk, assure controls are operating effectively, and provide research and analytical support. Prospective candidates must have excellent quantitative and analytical skills, along with the ability to apply those skills across a variety of business processes.

Key Expectations

• Designing and implementing an overall risk management process for the Personal Loan portfolio, which includes an analysis of the financial impact on the company when risks occur
• Performing a risk assessment: Analyzing current risks and identifying potential risks that are affecting the company
• Own the portfolio risk metrics - Loss forecasting, Stress testing, Credit Risk, Liquidity risk, Collections performance & strategy & overall ROA by segment.
• Monitor portfolio risk from granular dimensions and constantly implement strategies to maintain risk metrics within specific ranges.
• Monitor various operational metrics and develop alerting mechanisms to maintain process efficiency
• Designing and implementing strategies for Underwriting, Account Management, Portfolio Monitoring and Collections
• Develop risk based credit policies and pricing grids to maximize approvals within specific segments of risk
• Work with data science team which will develop algorithms and scorecards and drive decision models across various business segments.
• Partner with Engineering team to implement policies and scorecards.
• Supervise creation of time-sensitive analytics, visualisations, and complicated, high-visibility reports for Risk and Business management to use in portfolio monitoring and strategic decision-making.

Competencies -

• Have strong business understanding of the retail lending business in India and understanding of the regulatory landscape
• Should have hands-on experience working as data analyst or data scientist or statistical modeler in retail space, preferably in financial services or ecommerce.
• Strong experience in establishing and managing high-performing teams with a collaborative leadership approach.
• Outstanding communication skills, both verbal and written