Job Description
Job Description:
We are looking for a Data Engineer with expertise in developing advanced Gen AI models, including language models and RAG systems, and optimizing AI systems. Responsibilities include implementing ETL processes, managing data lakes and warehouses, and working with REST APIs.
Requirements:
- Proficiency in Python, AI, and NLP
- Experience with cloud platforms and containerization
- Familiarity with small and large language models
Role: Data Engineer
Industry: IT Services & Consulting
Department: Data Science & Analytics
Employment Type: Full-Time, Permanent
Key Skills: TensorFlow, AI Solutions, Artificial Intelligence, PyTorch, Python, Big Data Analytics, Data Engineering, PostgreSQL, NLP, Machine Learning, Deep Learning, Model Development, Data Science, Azure, ETL, Data Analytics, ML, Predictive Analytics
Job Requirment
- Role:Data Engineer
- Industry Type:IT Services & Consulting
- Functional Area:Data Science & Analytics data
- Employment Type:Full Time, Permanent
- Education:B.Tech/B.E.,
Key Skills
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About Company
Mount Talent Consulting
Mount Talent Consulting is a leading company dedicated to delivering products/services/solutions that meet the evolving needs of our customers. With a commitment to excellence and innovation, we strive to provide the highest quality products/services in the industry.
Our team of highly skilled professionals possesses extensive expertise and experience, allowing us to deliver tailored solutions that address our customers unique challenges. We prioritize customer satisfaction and work closely with our clients to understand their requirements and deliver exceptional results.
At Mount Talent Consulting, we value integrity, collaboration, and a customer-centric approach. We foster a culture of continuous improvement, encouraging our employees to stay at the forefront of industry trends and technologies. This enables us to consistently provide cutting-edge products/services that exceed expectations.
As a socially responsible company, we are committed to sustainability and environmentally friendly practices. We strive to minimize our ecological footprint through responsible sourcing, efficient operations, and community engagement.
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