Data Scientist Automation Testing

3 weeks ago

Delhi, India JPMorgan Chase & Co. Full time
You are a strategic thinker passionate about driving solutions. You have found the right team.As an AI/ML Engineer/Data Scientist, you will be responsible for developing and implementing AI/ML solutions to improve quality and productivity in Software Testing , SRE problems and solve complex Technology Operations,. You will work closely with cross-functional teams to understand requirements, design and develop AI/ML models, and deploy them into UAT / production.

Job responsibilitiesDevelop and implement AI/ML models and algorithms to solve business problems.Collaborate with cross-functional teams to understand requirements and translate them into technical solutions.Train and evaluate AI/ML models using large datasets.Train and evaluate AI/ML models to help design test cases , automate coding , design self healing codes , predict defects, identify optimized regression cases, etc.Apply advanced statistical and ML techniques, including predictive modeling, time series analysis, and optimization algorithms, to extract insights from complex data sets.Optimize and fine-tune AI/ML models for performance and accuracy.Design and develop data pipelines to preprocess and transform data for AI/ML models.Continuous Learning: Stay updated with the latest trends and advancements in data science, machine learning, and related fields, and actively seek opportunities to enhance skills and knowledge.Required qualification, skills and capabilities:Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 6-9 years of demonstrated experience in applied AI/ML engineering.Strong programming skills in Python, with experience in developing and maintaining production-level code.Proficiency in working with large datasets and data preprocessing.Solid understanding of Software Testing and SRE practicesSolid understanding of AI/ML algorithms and techniques, including deep learning, time series forecasting and natural language processing.Experience with cloud platforms, such as AWS for deploying and scaling AI/ML models. Strong problem-solving and analytical skills.Excellent communication and collaboration skills. Knowledge of infrastructure operationsPreferred qualification, skills and capabilities:Experience in backend development, including databases (SQL/NoSQL/Graph), programming languages (Python/Java/, web frameworks, APIs, and microservices and possess front-end development skills, including HTML, CSS, and JavaScriptExperience in Automated software testing and Test Automation FrameworksKnowledge of large language models (LLMs) , Generative AI and accompanying toolsets the LLM ecosystem (. Langchain, Vector databases, CHATGPT)Assess and choose suitable LLM tools and models for diverse tasks including but not limited to curating custom datasets and fine-tune LLM with a focus on parameter-efficient, mixture-of-expert, and instruction methods designing and developing advanced LLM prompts, Retrieval-Augmented Generation (RAG) solutions, and Intelligent agents for the LLMs and executing experiments to push the capability limits of LLM models and enhance their dependability.

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