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Urgent! 3 Days Left Lead Data Scientist Llm T6 Job Opening In Bengaluru – Now Hiring ANSR
ANSR is hiring for one of its clients.
About 4flow: Headquartered in Berlin, Germany, 4flow provides consulting, software and services for logistics and supply chain management.
More than 1300 team members leverage their supply chain expertise and IT know-how to best serve their customers at 20+ locations around the world.
4flow develops and implements lean, agile and sustainable supply chain strategies that enhance operational efficiency and drive cost savings for businesses worldwide.
Their clients span across multiple high-impact industries including vehicle manufacturers and suppliers, consumer goods and retail, industrial machinery manufacturers, medical technology, basic materials, spare parts, renewable energy, high-tech and telecommunications, and logistics service providers (LSP).
As a Senior Data Scientist LLM, you will develop, fine-tune, and deploy large language models (LLMs) tailored to specific business needs.
You will collaborate across teams to integrate LLMs into production systems and ensure their performance, reliability, and alignment with business goals.
Tasks: Fine-tune and optimize LLM and NLP models (e.G., GPT, BERT, T5, LLaMA) for real-world applications Integrate LLMs into scalable, production-grade systems Apply prompt engineering techniques to improve model performance and task alignment Collaborate with ML engineers and developers to build robust AI pipelines Evaluate model performance using accuracy, relevance, and alignment metrics Stay current with advancements in LLM frameworks and transformer architectures Document best practices and contribute to internal knowledge sharing Professional Requirements and Expertise: 6+ years of experience in LLM and NLP model development Bachelor’s or master’s degree in data science, Computer Science, Statistics, Mathematics, Machine Learning, or a related quantitative field Proficiency with LLM frameworks and libraries such as Hugging Face Transformers, LangChain, OpenAI API, Llama Index, or similar Experience with prompt engineering and model evaluation Good to have: Proficiency in Python or Java, experience with AI/ML pipelines, and deployment on AWS, Azure, or Google Cloud Platform Personal Skills: Strong analytical and problem-solving mindset Excellent communication and collaboration skills Proactive, adaptable, and self-driven Ability to work independently and collaboratively within cross-functional teams Genuine motivation to contribute to 4flow’s success and alignment with company culture and values
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Unlock Your 3 Days Potential: Insight & Career Growth Guide
Real-time 3 Days Jobs Trends in Bengaluru, India (Graphical Representation)
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Great news! ANSR is currently hiring and seeking a 3 Days Left Lead Data Scientist Llm T6 to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: 3 Days Left Lead Data Scientist Llm T6 Jobs Bengaluru.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at ANSR adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a 3 Days Left Lead Data Scientist Llm T6 Jobs India varies, but the pay scale is rated "Standard" in Bengaluru. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for 3 Days Left Lead Data Scientist Llm T6 typically include Mathematical Science Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your 3 Days Left Lead Data Scientist Llm T6 interview at ANSR, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the ANSR's products or services and be prepared to discuss how you can contribute to their success.
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