Chief Machine Learning Architect

20 hours ago

Bikaner, Rajasthan, India beBeeMachineLearning Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Expertise in machine learning is crucial for building scalable and secure applications.

Job Description

We are seeking an experienced Machine Learning Engineer to design, develop, and deploy innovative AI solutions. The ideal candidate will have a strong background in software engineering and excellent communication skills.

Key Responsibilities
  • Develop and productionalize machine learning applications by evaluating models, training, and/or fine-tuning them.
  • Design Gen AI-based solutions for customers, taking ownership of projects and collaborating with engineers and stakeholders for successful project delivery.
Required Skills and Qualifications
  • At least 3 years of experience in designing & building AI applications for customer deployment 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.
  • Evaluate machine learning models and perform necessary tuning, developing 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, iteratively modify prompts to improve LLM performance.
  • Hands-on customer experience with RAG solution or fine-tuning of LLM models.
  • 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 data cleaning, exploratory data analysis, dealing outliers, handling imbalances, analyzing data distributions, 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.
Benefits
  • Opportunity to work on cutting-edge AI projects.
  • Collaborative and dynamic work environment.
  • Professional growth and development opportunities.
Good to Have
  • Google Cloud Certified Professional Machine Learning or TensorFlow Certified Developer certifications or equivalent.
  • Experience 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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