Job Description
Ability to understand a problem statement and implement analytical solutions & techniques independently with independently/proactively/thought-leadership. Work with stakeholders throughout the organization to identify opportunities for leveraging company/client data to drive business solutions. Fast learner: ability to learn and pick up a new language/tool/ platform quickly. Conceptualize, design, and deliver high-quality solutions and insightful analysis. Conduct research and prototyping innovations; data and requirements gathering; solution scoping and architecture; consulting clients and clients facing teams on advanced statistical and machine learning problems. Collaborate and Coordinate with different functional teams (engineering and product development) to implement models and monitor outcomes. Ability to deliver AIML based. solutions around a host of domains and problems, with some of them being Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Recommender Systems, Modeling Response to Incentives, Marketing Mix, Optimization, Price Optimization, Route Optimization. Eligibility Criteria Education - B-Tech or BE in any engineering discipline. Required Experience Minimum of at least 7 years of relevant experience in AI/ML /Python. - Minimum 3 number of projects delivered in advance Analytics Individual contributor role Ability to create efficient solutions to complex problems. Expert level proficiency in Python. Ability to create efficient solutions to complex problems. Strong skills in data-structures and ML algorithms. Experience of working on end-to-end data science pipeline: problem scoping, data gathering, EDA, modelling, insights, visualizations, monitoring and maintenance. Problem solving: Ability to break the problem into small parts and applying relevant techniques to drive required outcomes. Intermediate to advanced knowledge of machine learning, probability theory, statistics, and algorithms. Candidate will be required to discuss and use various algorithms and approaches daily. Behavioral competency: Excellent communication skills (must be able to interface with both technical and business leaders in the organization). Strong analytical skills to solve and model complex business requirements are a plus. Good To Have Experience in one of the upcoming technologies like deep learning, NLP, image processing, recommender systems. Experience of working in Oil and Gas domain will be an added advantage Good grasp on databases including RDBMS, SQL. Interested Candidates can share their resume in my email id:
hidden_email Organization Candidate Name: Total Exp Relevant Exp: Current Location: Preferred Location: Certification Full Time Highest Education: Current CTC Expected CTC: NP/Serving NP Willing to work from Office: Y/N
Employement Category:
Employement Type: Full time
Industry: Others
Role Category: General / Other SoftwareMarine Engineering Department
Functional Area: Not Applicable
Role/Responsibilies: AI ML Lead
Keyskills:
Python
Machine Learning
Data Structures
Statistics
Algorithms
Deep Learning
NLP
Image Processing
Recommender Systems
RDBMS
SQL
ML Algorithms
EndtoEnd Data Science Pipeline
Probability Theory