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Data Scientist - Machine Learning & Generative AI (9-12 yrs) Bangalore/Chennai | Scientist in 1

Prometheus consulting

This listing was posted on hirist.

Data Scientist - Machine Learning & Generative AI (9-12 yrs) Bangalore/Chennai

Location:
Bangalore/Chennai
Description:

We are seeking an experienced Senior Data Science Engineer to join our innovative team. As a Machine Learning and Generative AI Specialist, you will play a critical role in developing and deploying advanced. ML models and algorithms to drive data-driven decision-making processes. Here is the key responsibilities and desired skills: Algorithm Development: - Design and implement machine learning algorithms for various applications, including natural language processing (NLP), recommendation systems, and predictive analytics. - Leverage your expertise in deep learning and generative AI to create innovative solutions. Data Processing and Analysis:- Collect, preprocess, and analyze large-scale datasets.- Apply statistical techniques and feature engineering to extract meaningful insights from data. Model Training and Evaluation:- Train and fine-tune ML models using Python and relevant libraries (e.g, TensorFlow, PyTorch). - Evaluate model performance using appropriate metrics and iterate to improve accuracy and efficiency. Deployment and Monitoring:- Deploy ML models to production environments (eg, cloud platforms such as Azure, AWS, or GCP).- Monitor model performance, troubleshoot issues, and ensure robustness and reliability. Collaboration and Communication:- Collaborate with cross-functional teams, including data scientists, engineers, and product managers.- Communicate results and insights effectively to technical and non-technical stakeholders. Desired Skills: - Machine Learning: Strong knowledge of ML algorithms, including supervised and unsupervised learning. - Generative AI: Experience with generative models (e.g, GANs, VAEs) and their applications. - Python: Proficiency in Python for data analysis, model development, and scripting. - Cloud Platforms: Hands-on experience with Azure, AWS, or GCP for model deployment and scalability. - Natural Language Processing (NLP): Understanding of NLP techniques, sentiment analysis, and text generation (ref:hirist.tech)
Education/experience:
7 To 10 Years
Company:
Prometheus Consulting
Posted:
June 27 on hirist
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