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    • AI / Generative AI Engineer - Tirupati - Dataplatr Inc.

    Dataplatr Inc.
    Dataplatr Inc. Tirupati

    2 weeks ago

    Description

    AI/Generative AI Engineer

    Location: Remote (Pan India)

    Job Type: Fulltime

    NOTE: "Only immediate joiners or candidates with a notice period of 15 days or less will be considered."

    Overview:

    We are seeking a highly skilled and motivated AI/Generative AI Engineer to join our innovative team. The ideal candidate will have a strong background in designing, developing, and deploying artificial intelligence and machine learning models, with a specific focus on cutting-edge Generative AI technologies.

    Key Responsibilities:

    • Design and Development:
    • Design, build, train, and deploy scalable and robust AI/ML models, including traditional machine learning algorithms and advanced Generative AI models (e.g., Large Language Models - LLMs, diffusion models).
    • Develop and implement algorithms for tasks such as natural language processing (NLP), text generation, image synthesis, speech recognition, and forecasting.
    • Work extensively with LLMs, including fine-tuning, prompt engineering, retrieval-augmented generation (RAG), and evaluating their performance.
    • Develop and manage data pipelines for data ingestion, preprocessing, feature engineering, and model training, ensuring data quality and integrity.
      • Platform Expertise:
      • Leverage cloud AI/ML services on GCP (e.g., Vertex AI, AutoML, BigQuery ML, Model Garden, Gemini), AWS (e.g., SageMaker, Bedrock, S3), Databricks, and/or Snowflake to build and deploy solutions.
      • Architect and implement AI solutions ensuring scalability, reliability, security, and cost-effectiveness on the chosen platform(s).
      • Optimize data storage, processing, and model serving components within the cloud or data platform ecosystem.
        • MLOps and Productionization:
        • Implement MLOps best practices for model versioning, continuous integration/continuous deployment (CI/CD), monitoring, and lifecycle management.
        • Deploy models into production environments and ensure their performance, scalability, and reliability.
        • Monitor and optimize the performance of AI models in production, addressing issues related to accuracy, speed, and resource utilization.
          • Collaboration and Innovation:
          • Collaborate closely with data scientists, software engineers, product managers, and business stakeholders to understand requirements, define solutions, and integrate AI capabilities into applications and workflows.
          • Stay current with the latest advancements in AI, Generative AI, machine learning, and relevant cloud/data platform technologies.
          • Lead and participate in the ideation and prototyping of new AI applications and systems.
          • Ensure AI solutions adhere to ethical standards, responsible AI principles, and regulatory requirements, addressing issues like data privacy, bias, and fairness.
            • Documentation and Communication:
            • Create and maintain comprehensive technical documentation for AI models, systems, and processes.
            • Effectively communicate complex AI concepts and results to both technical and non-technical audiences.

            Required Qualifications:

            • 8+ years of experience with software development in one or more programming languages, and with data structures/algorithms/Data Architecture.
            • 3+ years of experience with state-of-the-art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
            • 3+ years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
            • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field.
            • Proven experience as an AI Engineer, Machine Learning Engineer, or a similar role.
            • Strong programming skills in Python. Familiarity with other languages like Java, Scala, or R is a plus.
            • Solid understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning), deep learning concepts (e.g., CNNs, RNNs, Transformers), and statistical modeling.
            • Hands-on experience with developing and deploying Generative AI models and techniques, including working with Large Language Models (LLMs like GPT, BERT, LLaMA, etc.).
            • Proficiency in using common AI/ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, Keras, Hugging Face Transformers, LangChain, etc.
            • Demonstrable experience with at least one of the following cloud/data platforms:
            • GCP: Experience with Vertex AI, BigQuery ML, Google Cloud Storage, and other GCP AI/ML services.
            • AWS: Experience with SageMaker, Bedrock, S3, and other AWS AI/ML services.
            • Databricks: Experience building and scaling AI/ML solutions on the Databricks Lakehouse Platform, including MLflow.
            • Snowflake: Experience leveraging Snowflake for data warehousing, data engineering for AI/ML workloads, and Snowpark.
            • Experience with data engineering, including data acquisition, cleaning, transformation, and building ETL/ELT pipelines.
            • Knowledge of MLOps tools and practices for model deployment, monitoring, and management.
            • Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes.
            • Strong analytical and problem-solving skills.
            • Excellent communication and collaboration abilities.
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