Overview
Job Description
We are seeking an experienced AI/ML Expert to drive our artificial intelligence and machine learning initiatives, with a special focus on product innovation. In this role, you will evaluate and validate new product concepts, work closely with the Product Innovation team to assess technical feasibility, and leverage AI/ML techniques to forecast product success. You'll lead a team of data scientists and ML engineers while serving as a key technical advisor for product development decisions.
Key Responsibilities
* Lead the design, development, and implementation of machine learning models and AI systems
* Collaborate intensively with the Product Innovation team to evaluate new product concepts and predict market success
* Build predictive models to assess product viability, market fit, and potential ROI
* Develop data-driven frameworks for go/no-go decisions on product concepts
* Establish best practices for AI/ML development, testing, and deployment
* Mentor and manage a team of data scientists and machine learning engineers
* Translate business problems into ML solutions and determine appropriate algorithms and techniques
* Develop strategies for data collection, annotation, and quality assurance
* Work with engineering teams to implement ML models into production systems
* Stay current with state-of-the-art AI/ML research and technologies
* Communicate complex technical concepts to non-technical stakeholders
Requirements
Qualifications
* Master's in Computer Science, Machine Learning, Statistics, or related field
* 5+ years of experience building and deploying machine learning systems in production environments
* 3+ years of leadership experience in AI/ML teams
* Experience with predictive modeling for product success metrics
* Background in using data science for product validation and market analysis
* Strong expertise in machine learning algorithms, deep learning frameworks, and statistical analysis
* Proficiency in Python and relevant ML libraries (TensorFlow, PyTorch, scikit-learn, etc.)
* Experience with data infrastructure, MLOps, and ML model deployment pipelines
* Knowledge of software engineering best practices (version control, testing, CI/CD)
* Excellent communication skills and ability to explain complex technical concepts to diverse audiences
Preferred Skills
* Experience in product analytics and forecasting product performance
* Background in market analysis using machine learning techniques
* Knowledge of A/B testing and experimental design
* Familiarity with consumer behavior modeling and preference prediction
* Experience in specific domains (NLP, computer vision, recommender systems, etc.)
* Familiarity with cloud platforms (AWS, GCP, Azure) and their ML offerings
* Knowledge of distributed computing and large-scale data processing
* Background in data engineering and database technologies
* Publication record in AI/ML conferences or journals
* Experience with responsible AI practices and fairness in machine learning
About Company / Benefits
BENEFITS :-
Food Coupon
Medical insurance
NPS
Provident Fund
Gratuity
Team lunch
Marraige Gift cards
Ownership