AI Developer and Business Strategist

1 week ago

Hyderabad Secunderabad Telangana Bengaluru Bangalore, India beBeeExpert Full time US$ 90,000 - US$ 1,20,000
Software Development and AI Expert

As a key member of our team, you will play a pivotal role in shaping the future of software development and AI.

The ideal candidate will have a solid background in software development and a passion for leveraging machine learning and AI techniques to drive business outcomes. We are looking for an expert who can collaborate with cross-functional teams to understand data requirements, identify relevant data sources, analyze and preprocess data to extract valuable insights, and ensure data quality.

The Software Development and AI Expert will be responsible for evaluating model performance using appropriate metrics, iterating on solutions to enhance performance and accuracy, and continuously optimizing algorithms and models to adapt to evolving business requirements.

Strong communication skills are essential for this role, as the successful candidate will need to document methodologies, findings, and outcomes in clear and concise reports and communicate results effectively to technical and non-technical stakeholders.

Required Skills and Qualifications
  • 3-6 years experience in software development.
  • Educational Background: Strong computer science and Math/Statistics.
  • Experience with Open Source LLM and Langchain Framework and designing efficient prompt for LLMs.
  • Proven ability with NLP and text-based extraction techniques.
  • Experience in Generative AI technologies, such as diffusion and/or language models.
  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
  • Familiarity with cloud computing platforms such as GCP or AWS.
  • Experience with common data science toolkits, such as NumPy, Pandas, etc.
  • Proficiency in using query languages such as SQL.
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Experience working with large data sets along with data modeling, language development, and database technologies.
  • Knowledge in Machine Learning and Deep Learning frameworks (e.g., TensorFlow, Keras, Scikit-Learn, CNTK, or PyTorch), NLP, Recommender systems, personalization, Segmentation, microservices architecture, and API development.
  • Ability to adapt to a fast-paced, dynamic work environment and learn new technologies quickly.
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