Analytics Solutions Associate
3 days ago
DescriptionMake a real impact by solving complex problems and delivering cutting-edge models into production environments. Collaborate with experts to design and deploy advanced solutions that drive quality and productivity.Job Summary:As an Applied AI/ML Engineer/Data Scientist within our team, 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 Responsibilities:- Develop 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.- 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 qualifications, capabilities, and skills :- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.- Minimum 6 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 practices- Solid understanding of AI/ML algorithms and techniques, including deep learning, time series forecasting and natural language processing.- Experience in Agentic AI- 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 qualifications, capabilities, and skills:- Experience in backend development, including databases (SQL/NoSQL/Graph), programming languages ), web frameworks, APIs, and microservices and possess front-end development skills, including HTML, CSS, and JavaScript - Experience in Automated software testing and Test Automation Frameworks- Knowledge of large language models (LLMs) , Generative AI and accompanying toolsets the LLM ecosystem (e.g. 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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