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    Senior Software Engineer- AI/ML - Ahmedabad, India - Crest Data Systems

    Crest Data Systems
    Crest Data Systems Ahmedabad, India

    Found in: Talent IN 2A C2 - 4 days ago

    Default job background
    Technology / Internet
    Description

    Overview:

    The Senior Software Engineer for AI/ML plays a critical role in driving the technical direction and execution of artificial intelligence and machine learning projects within the organization. The SSE will collaborate closely with cross-functional teams to translate business requirements into technical designs and drive the successful implementation, testing and deployment of AI/ML models and systems.

    Key Responsibilities:

    1. AI/ML Model Training and Development

    • Work on the development of new AI Models from scratch and fine-tuning existing base models with new data
    • Implement and execute model evaluation experiments to test and pick the best model for a certain task
    • Build high throughput and automated data pipelines to allow Data analysis and model training
    • Pick the right set of evaluation metric to test model candidates for deployment
    • Use MLOps principles to allow continuous model tuning and performance improvements

    2. AI/ML Model Deployment:

    • Work on the deployment of AI/ML models into production environments, ensuring scalability, reliability, and performance.
    • Implement best practices for model versioning, monitoring, and maintenance to ensure ongoing model accuracy and effectiveness.
    • Collaborate with DevOps and infrastructure teams to integrate AI/ML components into CI/CD pipelines and automated deployment processes.
    • Implement CI/CD practices for AI/ML development, including automated testing, code review processes, and continuous integration pipelines.
    • Automate deployment processes for AI/ML models using tools such as Jenkins, GitLab CI/CD, or similar platforms.

    3. Technology Expertise:

    • Demonstrate deep expertise in AI/ML technologies, including TensorFlow, PyTorch, Keras, NumPy, Pandas and familiarity with platforms such as OpenAI, Hugging Face, Perplexity AI and Anthropic.
    • Stay current with advancements in AI/ML research and technologies, evaluating their applicability to the organization's needs and projects.

    4. Architecture and Design:

    • Design and implement architectures around AI/ML solutions, including data pipelines, model serving infrastructure, and integration with existing systems.
    • Collaborate with data engineers to ensure the availability, quality, and reliability of data sources for AI/ML model training and deployment.

    5. Python Development:

    • Utilize Python programming for AI/ML model development, automation scripts, and development of supporting tools and utilities.
    • Collaborate with software engineering teams to integrate AI/ML capabilities into software applications and services.

    Requirements:

    • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field.
    • Extensive experience (4+ years) in AI/ML development, with a focus on deploying models into production environments.
    • Strong proficiency in AI/ML frameworks such as TensorFlow, PyTorch, Keras, NumPy, Pandas and familiarity with platforms such as OpenAI, Hugging Face, Perplexity AI and Anthropic.
    • Experience building architectures around AI/ML solutions, including data pipelines, model serving infrastructure, and integration with existing systems.
    • Hands-on experience with CI/CD practices and tools, with a strong understanding of software development lifecycle processes.
    • Proficiency in Python programming and experience with relevant libraries and frameworks for AI/ML development. Experience of Python Pandas and similar languages is a must
    • Worked on pre-processing pipelines ensuring security compliances standards are met
    • Excellent communication skills and the ability to collaborate effectively with cross-functional teams.
    • Strong problem-solving abilities and a passion for innovation and continuous improvement in AI/ML deployment practices.

    Join our team and play a key role in shaping the future of artificial intelligence and machine learning

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