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Analytics Solutions Associate

Analytics Solutions Associate

ConfidentialBengaluru / Bangalore
3 days ago
Job description

Make 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 operations
  • Preferred qualifications, capabilities, and skills :

  • Experience in backend development, including databases (SQL / NoSQL / Graph), programming languages (Python / Java / Node.js), 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.
  • Skills Required

    Java, Html, Deep Learning, Css, automated software testing , Node.js, Software Testing, Python, Natural Language Processing, Javascript

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