▷ (3 Days Left) Senior Data Scientist

4 weeks ago

Bengaluru, India Tredence Inc. Full time

Roles and Responsibilities: As a, Associate Manager - Senior Data scientist you will solve some of the most impactful business problems for our clients using a variety of AI and ML technologies. You will collaborate with business partners and domain experts to design and develop innovative solutions on the data to achieve predefined outcomes. • Engage with clients to understand current and future business goals and translate business problems into analytical frameworks • Develop custom models based on in-depth understanding of underlying data, data structures, and business problems to ensure deliverables meet client needs • Create repeatable, interpretable and scalable models • Effectively communicate the analytics approach and insights to a larger business audience • Collaborate with team members, peers and leadership at Tredence and client companies Qualification: • Bachelor's or Master's degree in a quantitative field (CS, machine learning, mathematics, statistics) or equivalent experience. • 5+ years of experience in data science, building hands-on ML models • Experience with LMs (Llama (1/2/3), T5, Falcon, Langchain or framework similar like Langchain) • Candidate must be aware of entire evolution history of NLP (Traditional Language Models to Modern Large Language Models), training data creation, training set-up and finetuning • Candidate must be comfortable interpreting research papers and architecture diagrams of Language Models • Candidate must be comfortable with LORA, RAG, Instruct fine-tuning, Quantization, etc. • Experience leading the end-to-end design, development, and deployment of predictive modeling solutions. • Excellent programming skills in Python. Strong working knowledge of Python’s numerical, data analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, Jupyter, etc. • Advanced SQL skills with SQL Server and Spark experience. • Knowledge of predictive/prescriptive analytics including Machine Learning algorithms (Supervised and Unsupervised) and deep learning algorithms and Artificial Neural Networks • Experience with Natural Language Processing (NLTK) and text analytics for information extraction, parsing and topic modeling. • Excellent verbal and written communication. Strong troubleshooting and problem-solving skills. Thrive in a fast-paced, innovative environment • Experience with data visualization tools — PowerBI, Tableau, R Shiny, etc. preferred • Experience with cloud platforms such as Azure, AWS is preferred but not required

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