Senior AI Application Developer

2 weeks ago

Gandhinagar, Gujarat, India beBeeMachineLearning Full time ₹ 20,00,000 - ₹ 25,00,000
Job Description:

We are seeking an experienced Machine Learning Engineer to design, develop, and deploy AI applications in a production environment. The successful candidate will play a key role in evaluating models, training, and fine-tuning them.

This position requires a senior member of the team who can take ownership of projects, collaborate with engineers and stakeholders, and ensure successful project delivery.

Key Responsibilities:
  • Design, develop, and operationalize existing ML models by fine-tuning and personalizing them.
  • Evaluate machine learning models and perform necessary tuning.
  • Develop prompts that instruct LLMs to generate relevant and accurate responses.
  • Collaborate with data scientists and engineers to analyze and preprocess datasets for prompt development.
  • Conduct thorough analysis to evaluate LLM responses and iteratively modify prompts to improve performance.
  • Build and deploy scalable machine learning pipelines on GCP or equivalent cloud platforms.
Required Skills and Qualifications:
  • At least 3 years of experience in designing and building AI applications for customers and deploying them into production.
  • At least 5 years of software engineering experience in building secure, scalable, and performant applications.
  • Experience with document extraction using AI, conversational AI, vision AI, NLP, or Gen AI.
  • Expertise in Python, NumPy, Pandas, and various ML libraries (e.g., XGBoost, TensorFlow, PyTorch, Scikit-learn, LangChain).
  • Familiarity with Google Cloud or other cloud platforms and their machine learning services.
Benefits:

As a Machine Learning Engineer at our company, you will have the opportunity to work on challenging projects, collaborate with a talented team, and develop your skills in AI and machine learning.

Good to Have:
  • Google Cloud Certified Professional Machine Learning or TensorFlow Certified Developer certifications or equivalent.
  • Experience working with one or more public cloud platforms (GCP, AWS, Azure).
  • Experience with AutoML and vision techniques.
  • Master's degree in statistics, machine learning, or related fields.

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