AI Solutions Architect

1 day ago


Mumbai, Maharashtra, India beBeeMachineLearning Full time US$ 1,25,000 - US$ 1,75,000
Job Description:">

As a leader in AI/ML innovation, you will be at the forefront of designing and developing cutting-edge AI and machine learning solutions that drive business value and growth.

You will design, develop, and deploy sophisticated AI and ML models, including large language models and generative AI models, to solve complex business problems.

  • Develop and optimize machine learning and deep learning models, including fine-tuning and evaluating models on large-scale datasets to improve accuracy, efficiency, and robustness.
  • Design and implement scalable, production-ready AI solutions that integrate seamlessly into existing systems.
  • Collaborate with cross-functional teams, including software engineers, data scientists, and product teams, to align AI models with business needs and objectives.
  • Stay up-to-date with advancements in Generative AI, LLMs, and deep learning to continuously improve AI solutions and stay ahead of the competition.
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Requirements:
  • Bachelor's or Master's degree in a quantitative field such as Computer Science or Data Science or related disciplines.
  • Minimum of 3+ years' experience in data science/ML role, with a track record of delivering impactful solutions in a production environment.
  • Proficiency in programming languages like Python, R, and SQL, with experience in building scalable and efficient ML/NLP workflows.
  • Deep understanding and hands-on experience in Machine Learning, Deep Learning, and Natural Language Processing.
  • Experience in working with state-of-the-art Generative AI models, including model fine-tuning and evaluation techniques.
  • Data management knowledge, including data pre-processing, augmentation, and generation of synthetic data.
Skills and Qualifications:
  • Strong problem-solving skills and ability to think outside the box to design and implement novel AI solutions when faced with unprecedented challenges.
  • Excellent collaboration and communication skills for articulating technical details and project needs to technical and non-technical team members.
  • Ability to work independently and manage multiple projects simultaneously.
  • Continuous learning and passion for staying up-to-date with the latest research, tools, and techniques in the rapidly evolving AI landscape.
Competencies:
  • Demonstrated expertise in AI/ML engineering with ability to recommend existing solutions and/or propose new products and services based on client need.
  • Ability to drive executive-level conversation regarding business value and growth.
  • Demonstrated cross-functional sales and business development success.
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