AI Developer

2 days ago

Kota, Rajasthan, India beBeeMachineLearningEngineer Full time ₹ 15,00,000 - ₹ 25,00,000
Job Title: AI Engineer

We are seeking a highly motivated and experienced AI engineer to join our growing team.

The ideal candidate will play a key role in designing, developing, and productionalizing AI applications by evaluating models, training, and/or fine-tuning them. They will work closely with engineers and stakeholders to ensure successful project delivery.

  • We are looking for someone with at least 3 years of experience in designing and building AI applications for customers and deploying them into production.
  • A minimum of 5 years of software engineering experience is required, with expertise in building secure, scalable, and performant applications for customers.
  • Experience with document extraction using AI, conversational AI, vision AI, NLP, or Gen AI is essential.
  • The ideal candidate should be able to design, develop, and operationalize existing ML models by fine-tuning and personalizing them.
  • Evaluation of machine learning models and necessary tuning are also required.
  • Developing prompts that instruct LLMs to generate relevant and accurate responses is an important aspect of this role.
  • Collaboration with data scientists and engineers to analyze and preprocess datasets for prompt development, including data cleaning, transformation, and augmentation, is crucial.
  • Conducting thorough analysis to evaluate LLM responses and iteratively modifying prompts to improve LLM performance is also necessary.
  • Hands-on customer experience with RAG solutions or fine-tuning of LLM models is preferred.
  • The ideal candidate should be able to build and deploy scalable machine learning pipelines on GCP or any equivalent cloud platform involving data warehouses, machine learning platforms, dashboards, or CRM tools.
  • Experience working with the end-to-end steps involving but not limited to data cleaning, exploratory data analysis, dealing outliers, handling imbalances, analyzing data distributions (univariate, bivariate, multivariate), transforming numerical and categorical data into features, feature selection, model selection, model training, and deployment is required.
  • Proven experience building and deploying machine learning models in production environments for real-life applications is essential.
  • A good understanding of natural language processing, computer vision, or other deep learning techniques is necessary.
  • Expertise in Python, NumPy, Pandas, and various ML libraries (e.g., XGboost, TensorFlow, PyTorch, Scikit-learn, LangChain) is required.
  • Familiarity with Google Cloud or any other cloud platform and its machine learning services is also necessary.
  • Excellent communication, collaboration, and problem-solving skills are essential.

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 - 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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