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    Mlops Engineer - New York, United States - Tech MahindraAvance Consulting

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    Description

    Mlops Engineer

    Location :- NYC/Alpharetta GA (Day 1 Onsite)

    Must have:

    • Strong understanding of AI/ML concepts and techniques.
    • Proficiency in programming languages such as Python, with hands on experience in AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
    • Experience with AI/ML model lifecycle activities, like data preprocessing, feature engineering, deployment, data visualization, etc.
    • Good understanding on model deployment, design, and architecture.
    • Strong analytical and problem-solving skills, with the ability to analyze complex datasets and extract actionable insights.
    • Familiarity with at least one cloud platforms / hyper-scalers (e.g., GCP, Azure, AWS, NVIDIA) and experience in deploying AI/ML models in cloud environments.
    • Experience of integrating AI/ML features into business applications and solutions.
    • Experience in implementing and managing ML OpsKnowledge of software development practices, version control systems (e.g., Git), and agile methodologies.
    • Excellent communication and collaboration skills to work effectively in cross-functional teams.
    • Strong organizational and time management skills, with the ability to prioritize and manage multiple projects simultaneously.
    • Experience of 6 to 8 years of relevant experience.

    Responsibilities:

    • Design and develop AI/ML applications to solve complex business problems.
    • Collaborate with data scientists and subject matter experts to understand business requirements and translate them into AI/ML solutions.
    • Implement and optimize AI/ML models and create pipelines using programming languages, preferably Python.
    • Conduct data preprocessing, feature engineering, and data exploration to ensure the availability of high-quality data for training and evaluation.
    • Evaluate and benchmark different AIML models, frameworks, and tools to identify the most suitable solutions for specific use cases.
    • Train, validate, and fine-tune AI/ML models using various techniques such as deep learning, reinforcement learning, and natural language processing.
    • Deploy AIML models in production environments, ensuring scalability, performance, and reliability.
    • Collaborate to integrate AI/ML solutions into existing applications or develop new applications.
    • Stay up to date with the latest advancements in AI/ML technologies and industry trends.
    • Provide technical guidance and support to junior team members and promote knowledge sharing within the team.
    • Flexibility to work as part of a team or an individual contributor.

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