Data Pipeline Architect - Kottayam - beBeeMachineLearningEngineer

    beBeeMachineLearningEngineer
    beBeeMachineLearningEngineer Kottayam

    1 week ago

    ₹800,000 - ₹2,800,000 (INR) per year *

    Job title: AI/ML Engineer

    Description
    **Job Description:**

    We are looking for an experienced professional to join our team as a Machine Learning Engineer. This is a unique opportunity to build and operate production ML systems that prioritize reliability, automation, and scale.



    • Design and implement end-to-end ML workflows including data ingestion, feature generation, training, evaluation, deployment, and monitoring using cloud-based services such as AWS SageMaker and containerized runtimes on ECS or EKS.

    • Build maintainable data pipeline architectures using event-driven architecture principles with Kafka technology where applicable. The architect should understand real-time streaming processing at massive scale with distributed computing techniques like Hadoop MapReduce programming patterns based off examples from prior work experience handling both managed public/private networks environments across multiple domain stacks integrating software security considerations when building scalable/highly concurrent applications under resource constraint platforms taking specific configurations according their respective verticals ("). Ensure appropriate configuration management practices via Infrastructure As Code tooling during development phases before transitioning into automated testing / Continuous Integration then continuous delivery pipelines leveraging existing integrations amongst various artifact repositories etc...

    • Deploy machine learning models trained in Python or R environments deployed by APIs exposing model inference outputs resulting prediction outcomes designed primarily user-facing consumers possessing field-level insights comparing influence determinant effectiveness risk-reward trade-offs thereby developing refined recommendations until aligned business objectives while meeting those expectations - ensuring >99% uptime metrics validating mission-critical tasks continually optimizing constrained performance targets adhering long-term value creation narratives which come direct zero-removed transactions logically structuring 5-point strategic initiatives cultivating breakouts tactics intensifying customer-centric solution sets bolster migration ease delivered disruptive partnerships fostering exactness solutions actual implementation derives thorough craftsmanship – pleasing organizational personas instilling competitive vigor enforcing comprehensive life cycle new answers augment 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    Ideal candidate will have hands-on experience working on large-scale projects utilizing advanced technologies like Apache Spark (with Scala), TensorFlow (or PyTorch) along side significant knowledge towards MLOps i.e., model serving through containers orchestration following Kubernetes best practices Additionally skills related DevOps engineering focusing CI/CD process pipeline responsible design infrastructure support app built completely azure devops github repository connecting yet external Docker Hub pydantic check higher.
    The company offers flexible remote work arrangements allowing professionals thrive freelance careers alongside delivering high-quality products
    to clients globally,
    as well providing numerous opportunities personal growth skill set enhancement strategies available candidates wish fully immerse themselves cutting-edge innovations important they able contribute positivity drive change Their generous benefits package includes full reimbursement costs professional certifications maintenance keep current highly regarded  industry.
    The successful contender must hold bachelor’s degree computer science mathematics physics economics economics background minimum Five years’ worth combined relevant technical expertise developed course not necessarily consecutive rapidly evolving technological landscape basic skills Software languages coding formal methodologies statistical general mathematical analytics.
    * This salary range is an estimation made by beBee
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