Hi Everyone,
Greetings from Randomtrees,
We have an openings for Datascientistist position ,please find below job details
Experience-2+yrs
Notice Period:0 to 30 Days
Location:Chennai(Hybrid)
Skills required:Machine Learning,Artificial Intelligence,Gen AI,Python,SQL
Description:
Strong experience in developing and deploying AI systems using Python, PyTorch, leveraging Databricks, Snowflake or similar frameworks and tools.
Strong knowledge /experience in machine learning, deep learning, natural language processing, computer vision, and other AI domains.
Experience in prompt engineering, data preprocessing, model fine-tuning, and evaluation.
Experience in MLOps, CI/CD, cloud computing, and containerization technologies.
Excellent communication, collaboration, and problem-solving skills. Ability to work independently and in a team environment. Hands-on experience with popular GenAI LLM models (e.g., GPT-4o, Llama, Mixtral), SLMs with Phi/Gamma/Triplex, and frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel, PyTorch, and long-term memory with Mem0 or similar.
A strong focus on Generative AI. Deep understanding of NLP, deep learning, and data analysis techniques.
Experience with large language models (LLMs), text generation, and image gen.
Strong programming skills in Python, along with experience in data manipulation libraries (e.g., Pandas, NumPy).
Passion for innovation and a desire to explore the frontiers of AI.
If any one intrested please share your resume to tp****u@ra********s.com
Thanks & Regards,
P.Tejaswi
Talent Acquisition Specialist
| Mobile +918919030402 | tp****u@ra********s.com
Random Trees| https://www.randomtrees.com

Keyskills: Generative Ai Artificial Intelligence Machine Learning Python SQL Data Science Natural Language Processing LLM Deep Learning
Voice Process Requirements\r\nLanguages:\r\n\r\nEnglish & Tamil\r\nEnglish & Hindi\r\n\r\nEligibility Criteria:\r\nGood communication skills\r\nGraduates only (No active backlogs)\r\nCandidates (no far-location profiles)\r\nSalary: Up to 20,000/month (depending on performance)