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    Machine Learning Engineer - Hyderabad, India - Yoonify Inc

    Yoonify Inc
    Yoonify Inc Hyderabad, India

    Found in: Appcast Linkedin IN C2 - 1 week ago

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    Description

    Position Overview:

    The Machine Learning Engineer will play a pivotal role in designing, developing, and deploying AI solutions tailored to meet specific client challenges. This professional will collaborate closely with cross-functional teams and clients, leveraging cutting-edge AI technologies and frameworks to derive insights from data and deploy AI-driven applications.

    Key Responsibilities

    1. Solution Development: Collaborate with cross-functional teams to understand business requirements and conceptualize AI-driven solutions. Develop, implement, and test AI algorithms, models, and applications that address specific client challenges.
    2. Machine Learning and Deep Learning: - Design and train machine learning and deep learning models using frameworks such as TensorFlow, PyTorch, or sci-kit-learn. Optimize models for accuracy, efficiency, and scalability.
    3. Data Analysis: - Analyze and preprocess data to ensure its suitability for AI modeling and application. - Utilize data visualization tools to gain insights and communicate findings to both technical and non-technical stakeholders.
    4. Algorithm Development: - Create and fine-tune AI algorithms, ensuring they align with project goals and industry best practices. - Implement algorithms that improve efficiency, accuracy, or decision-making processes.
    5. Consultation: - Collaborate closely with clients to understand their AI needs and challenges. - Provide expert advice and recommendations on AI strategies, solutions, and implementation.
    6. Model Deployment: - Deploy AI models into production environments, ensuring they are integrated seamlessly with existing systems. - Monitor model performance, making necessary adjustments and improvements.
    7. Documentation: - Document the entire AI development process, from data preparation to model deployment. - Create user manuals and technical documentation to guide clients and team members.
    8. Research and Innovation: - Stay updated with the latest AI advancements, research, and trends. - Propose innovative solutions and strategies to enhance our AI offerings.

    Qualifications and Skills

    • Bachelor's degree
    • Bachelor's degree in Computer Science, Engineering, Data Science, or related field (Master's degree preferred).
    • Proven experience as an AI Developer, Data Scientist, Machine Learning Engineer, or similar role.
    • Strong proficiency in programming languages such as Python, R, or Java.
    • Expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).
    • Knowledge of data preprocessing techniques and feature engineering.
    • Experience with natural language processing (NLP) and computer vision is a plus.
    • Excellent problem-solving skills and a passion for innovation.
    • Strong communication skills to collaborate effectively with technical and non-technical stakeholders.
    • Project management experience is advantageous.
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