Advanced AI Software Developer Position

3 days ago

Bellary, Karnataka, India beBeeSoftware Full time ₹ 20,40,120 - ₹ 24,47,276
Senior AI Software Engineer Opportunity

As a seasoned and accomplished Senior AI Software Engineer, you will play a key role in developing and refining complex machine learning applications by assessing models, training, and fine-tuning them.

You will be responsible for designing and implementing cutting-edge AI-based solutions for customers and collaborating with engineers and stakeholders to ensure successful project delivery.

  • Develop and operationalize existing ML models by fine-tuning and personalizing them.
  • Evaluate machine learning models and perform necessary tuning.
  • Design prompts that instruct LLMs to generate relevant and accurate responses.
  • Collaborate with data scientists and engineers to analyze and preprocess datasets for prompt development, including data cleaning, transformation, and augmentation.
  • Conduct thorough analysis to evaluate LLM responses and iteratively modify prompts to improve LLM performance.
Key Qualifications:
  • At least 3 years of experience in designing & building AI applications for customers and deploying them into production environments.
  • At least 5 years of software engineering experience in building secure, scalable, and high-performance applications for customers.
  • Experience with document extraction using AI, conversational AI, vision AI, NLP, or Gen AI.
  • Proven experience building and deploying machine learning models in production environments for real-life applications.
  • Good understanding of natural language processing, computer vision, or other deep learning techniques.
  • Expertise in Python, NumPy, Pandas, and various ML libraries (e.g., XGBoost, TensorFlow, PyTorch, Scikit-learn).
  • Familiarity with cloud platforms and their machine learning services.
  • Excellent communication, collaboration, and problem-solving skills.
Bonus Points:
  • Google Cloud Certified Professional Machine Learning or TensorFlow Certified Developer certifications.
  • Experience working with one or more public cloud platforms - namely GCP, AWS, or Azure.
  • Experience with Amazon Lex or Google DialogFlow CX or Microsoft Copilot studio for CCAI Agent workflows.
  • Experience with AutoML and vision techniques.
  • Master's degree in statistics, machine learning, or related fields.

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