Senior AI Application Developer

1 week ago

Solapur, Maharashtra, India beBeeMachineLearningEngineer Full time ₹ 1,80,00,000 - ₹ 2,40,00,000
Job Description:

We are seeking an experienced Machine Learning Engineer to join our team. The successful candidate will play a key role in designing, developing and productionalizing ML applications by evaluating models, training and/or fine tuning them.

The ideal candidate will have at least 3 years of experience in designing & building AI applications for customers and deploying them into production. They will also have experience with document extraction using AI, conversational AI, vision AI, NLP or Gen AI.

Key responsibilities include:

  • Evaluating machine learning models and performing necessary tuning
  • Designing, developing, and operationalizing existing ML models by fine tuning and personalizing them
  • Collaborating with data scientists and engineers to analyze and preprocess datasets for prompt development, including data cleaning, transformation, and augmentation
  • Conducting thorough analysis to evaluate LLM responses and iteratively modifying prompts to improve LLM performance
  • Building and deploying scalable machine learning pipelines on GCP or any equivalent cloud platform involving data warehouses, machine learning platforms, dashboards or CRM tools

Requirements:

  • At least 5 years of software engineering experience in building secure, scalable, and performant applications for customers
  • 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, LangChain)
  • Familiarity with Google Cloud or any other Cloud Platform and its machine learning services
  • Excellent communication, collaboration, and problem-solving skills
Benefits:
  • Opportunity to work on cutting-edge AI projects
  • Collaborative and dynamic work environment
  • Professional growth and development opportunities

Additional Requirements:

  • Google Cloud Certified Professional Machine Learning or TensorFlow Certified Developer certifications or equivalent
  • 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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