Overview
Job Description
We are seeking an experienced AI/ML Lead 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
