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    • Software Engineer - Nellore - Mindfire Solutions

    Mindfire Solutions
    Mindfire Solutions Nellore

    3 weeks ago

    Description

    About the Job

    We are seeking a highly skilled AI/ML Engineer to join our team at Mindfire Solutions. As an integral part of our organization, you will play a key role in designing, validating, and integrating cutting-edge machine learning models and algorithms.

    Your primary responsibility will be to collaborate closely with cross-functional teams, including data scientists, to identify and establish project objectives. Additionally, you will oversee data infrastructure maintenance, ensuring streamlined and scalable data operations.

    Our ideal candidate is someone who stays up-to-date with advancements in AI and proposes innovative ways to integrate them for operational enhancement. Effective communication of complex data insights to non-technical stakeholders is also a critical aspect of this role.

    Core Responsibilities:

    • Develop, validate, and implement machine learning models and algorithms.
    • Collaborate with data scientists and other stakeholders to understand and define project goals.
    • Maintain data infrastructure and ensure scalability and efficiency of data-related operations.
    • Stay abreast of the latest developments in the field of AI and recommend ways to implement them in our operations.
    • Communicate complex data findings in a clear and understandable manner to non-technical stakeholders.
    • Adhere to data privacy and security guidelines.
    • Participate in the entire AI project lifecycle, from concept to deployment and maintenance.

    Required Skills:

    • Strong grasp of computer architecture, data structures, system software, and machine learning fundamentals.
    • Solid theoretical understanding of machine learning.
    • Experience with mapping NLP models (BERT and GPT) to accelerators and awareness of trade-offs across memory, bandwidth, and compute.
    • Experience with Vector databases like Chroma Db, Pinecone, PGVector or similar.
    • Experience with Large language Models like GPT 3.5, GPT 4, Llama, Gemini, Mistral etc.
    • Experience in LLM integration framework like langchain, Llamaindex, AgentGPT etc.
    • Experience with ML Models from definition to deployment, including training, quantization, sparsity, model preprocessing, and deployment.
    • Proficiency in Python development in a Linux environment and using standard development tools.
    • Experience with deep learning frameworks (such as PyTorch, Tensorflow, Keras, Spark).
    • Working knowledge of Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Generative Adversarial Networks (GANs).
    • Experience in training, tuning, and deploying ML models for Computer Vision (e.g., ResNet), and/or Recommendation Systems (e.g., DLRM).
    • Experience deploying ML workloads on distributed systems.
    • Self-motivated team player with a strong sense of ownership and leadership.
    • Strong verbal, written, and organizational skills for effective communication and documentation.
    • Research background with a publication record.
    • Work experience at a cloud provider or AI compute/sub-system company.
    • Knowledge of cloud computing platforms and services, such as AWS, Azure, or Google Cloud.
    • Experience with information security and secure development best practices.

    Qualifications:

    • Bachelor's or higher degree in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field.
    • 2-4 yrs of hands-on experience in AI/ML.
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