AI/ML Specialist

2 weeks ago

Ahmedabad, Gujarat, India beBeeArtificial Full time ₹ 80,00,000 - ₹ 2,00,00,000
About the Role

We are seeking a skilled AI/ML professional to play a key role in developing and optimizing data pipelines using Python, Pandas, and Scikit-learn.

Key Responsibilities
  • Develop and Optimize Data Pipelines: Utilize Python, Pandas, and Scikit-learn to design and optimize data pipelines that drive business insights.
  • Support Prompt Engineering Initiatives: Collaborate on prompt engineering initiatives for Large Language Model (LLM) applications to enhance their performance and effectiveness.
  • Conduct Model Evaluation and Testing: Ensure model accuracy, reliability, and performance through rigorous evaluation and testing.
  • Work with Vector Databases: Leverage Vector Databases such as Pinecone and FAISS for efficient embedding storage and retrieval.
Secondary Responsibilities
  • Assist in Fine-Tuning Models: Assist in fine-tuning small and domain-specific models for production use, ensuring they meet the required standards.
  • Write Automation Scripts: Develop automation scripts for data preparation, cleaning, and feature engineering to streamline processes.
  • Collaborate with Product and Engineering Teams: Work closely with product and engineering teams to enable API integrations for ML services, driving seamless collaboration and innovation.
Required Skills and Qualifications
  • Strong Programming Skills: Proficiency in Python with hands-on experience in Pandas and Scikit-learn is essential.
  • Prompt Engineering Knowledge: Basic knowledge of prompt engineering for LLMs is necessary for success in this role.
  • Model Evaluation Metrics: Understanding of model evaluation metrics and testing techniques is crucial for delivering high-quality results.
  • Vector Database Experience: Exposure to Vector Databases like Pinecone, FAISS, or similar is highly desirable.
Benefits
  • Problem-Solving Mindset: A strong problem-solving and analytical mindset is essential for success in this role.
  • Collaborative Environment: Ability to work in a collaborative environment with cross-functional teams is vital.
  • Curiosity and Learning: Curiosity to explore and learn new AI/ML tools and frameworks is highly valued.
Others

This role requires a strong understanding of data pipelines, prompt engineering, and model evaluation metrics. If you have experience with Python, Pandas, and Scikit-learn, and are passionate about AI/ML, we encourage you to apply.

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