You’ll make a difference by:

• Deliver, i.e. develop & implement project requirements along with a team of data scientists & ML Engineers.
• Communicate findings and insights to technical and non-technical stakeholders through reports, presentations, and data visualizations.
• Should have sufficient knowledge and experience on the latest methods used for software development, AI Model building strategies, continuous and remote deployment, cloud based technologies and related skills for digitalization projects.
• Collaborate with stakeholders to understand business objectives and develop data science strategies aligned with those objectives.
• Design, develop, and implement advanced machine learning and statistical models to solve complex business problems.
• Must possess sufficient knowledge of various facets concerning AI like, computer vision & image analysis, classification, segmentation, feature extraction, pattern recognition, data mining, inferencing, neural networks, statistics etc.,
• Perform statistical analysis, hypothesis testing, and A/B testing to evaluate the effectiveness of models and algorithms.
• Stay up to date with the latest trends and advancements in data science, machine learning, and AI technologies and identify opportunities to apply them to improve business outcomes.

You’ll win us over by:

• 8+ Years of experience in Artificial Intelligence domain with a proven track record of developing and implementing various ML based solutions.
• B.Tech or master’s in data science, Computer Science, Statistics or a related field
• Strong programming skills in languages such as Python, R, or C++.
• Must possess sufficient knowledge of various facets concerning AI like, ML, Deep Learning, computer vision & image analysis, classification, segmentation, feature extraction, pattern recognition, data mining, inferencing, neural networks, statistics etc.,
• Hands on experience in Sklearn, Statmodels, Pandas, Numpy, Scipy, SQL, HQL, Hadoop, Spark, Hive, Tableau, PowerBI, AWS, Azure OR similar technology stacks
• Exposure to the industrial engineering domain is preferred.
• Ability to lead 2-3 members technically.
• Proactive and willing to learn new technologies.
• Excellent verbal, written and presentation skills.