Data Scientist - Machine Learning/Artificial Intelligence (4-9 yrs)

Client Description :

A global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies, invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. Our client focuses more than average on innovation and invests 15% of sales back into R&D. Expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices.

MUST HAVE :

- Min 4+ years of experience in Python & Machine learning, SQL, Azure, and NLP Artificial intelligence.

- If Btech - 4+ yrs of experience in Python & Machine learning - NLP Artificial intelligence

- Mtech / PHD - 3+ yrs years of experience in Python & Machine learning - NLP Artificial intelligence.

Product Company Experience is a must :

- Candidates from engineering product companies are higher chances of select.

- Education - Tier -1 colleges like (IIT, IIIT, VIT, NIT)

Responsibilities for Data Scientist/ML Engineer :

- Building end-to-end ML systems (Including traditional ML models and Conversational AI) and deploying them to operate at scale.

- Research and devise innovative statistical models/ML models for data analysis

- Develop and maintain RAG (Retrieval-Augmented Generation) applications.

- Implement changes to algorithms to improve AI performance and retrieval techniques.

- Use predictive modeling to increase and optimize customer service experience and supply chain optimization.

- Identify patterns in data using statistical modeling, develop custom data models and algorithms to apply to data sets.

- Work with business partners throughout the organization to find opportunities for using company data to drive solutions.

- Working with project managers to establish objectives for AI systems.

Skills and Qualifications :

- Bachelor's degree (or equivalent) in computer science, statistics, applied mathematics, or related discipline

- Experience solving problems with Conversational AI in a production environment for a High-tech Manufacturing Industry

- 4+ years of experience in Python and ML packages (NumPy, Keras, Seaborn, Scikit-learn).

- Excellent understanding of machine learning techniques and algorithms such as, Regression models, kNN, SVM,NB, Decision Trees.

- Expertise/Familiarity with one or more deep learning frameworks such as TensorFlow, PyTorch.