AI/ML Expert

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