AI Solutions Architect

1 day ago

Vijayawada, Andhra Pradesh, India beBeeMachineLearning Full time ₹ 1,20,00,000 - ₹ 2,00,00,000
Senior AI Developer

We are seeking an experienced Senior AI Developer to join our team.

You will play a key role in designing, developing and productionalizing AI applications by evaluating models, training and/or fine tuning them. You will also develop Gen AI based solutions for our customers.

Key Responsibilities:

  • Design and build AI applications for customer use.
  • Deploy AI applications into production environments.
  • Develop Gen AI based solutions for our customers.

Requirements:

  • At least 3 years of experience in designing & building AI applications for customer deployment.
  • 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.
  • Ability to design, develop, and operationalize existing ML models by fine tuning, personalizing it.
  • Experience in evaluating machine learning models and performing necessary tuning.
  • Ability to develop prompts that instruct LLM to generate relevant and accurate responses.
  • Collaboration 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 LLM performance.
  • Hands on customer experience with RAG solution or fine tuning of LLM model.
  • Build and deploy scalable machine learning pipelines on cloud platforms involving data warehouses, machine learning platforms, dashboards or CRM tools.
  • Experience working with 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.
  • 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, LangChain).
  • Familiarity with cloud platforms and their machine learning services.
  • Excellent communication, collaboration, and problem-solving skills.

Nice to Have:

  • Google Cloud Certified Professional Machine Learning or TensorFlow Certified Developer certifications or equivalent.
  • Experience of working with 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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