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    Job · 17900101

    BENGALURU · FULLTIME

    Machine Learning Engineer (Freelancer)

    Soul AI logo

    Soul AI

    Bengaluru · onsite · Posted 36d ago

    Sourced fromNaukri
    Undisclosed2–5 yrsfulltimeBengaluru

    About a minute. You'll make an account on the way through.

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    • Read this posting0.2s
    • Found the form on Naukri · 10 questions to answer1.8s
    • Decided the answers for all of them2.6s
    • Tailor your résumé to this role
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    Section · 01

    About this role

    Step into the world of AI innovation with the Experts Community of Soul AI (By Deccan AI).

    We are looking for Indias top 1% Machine Learning Engineers for a unique job opportunity to work with the industry leaders.


  1. Who can be a part of the community.

    We are looking for top-tier Machine Learning Engineers with expertise in building, deploying, and optimizing AI models.

    If you have experience in this field then this is your chance to collaborate with industry leaders.


  2. Whats in it for you.

    Pay above market standards.

    The role is going to be contract based with project timelines from 2-6 months, or freelancing.

    Be a part of Elite Community of professionals who can solve complex AI challenges.

    Work location could be:.

    Remote (Most likely).

    Onsite on client location.

    Deccan AIs OfficeHyderabad or Bangalore.

    Responsibilities:.

    Design, optimize, and deploy machine learning models; implement feature engineering and scaling pipelines.


  3. Use deep learning frameworks (TensorFlow, PyTorch) and manage models in production (Docker, Kubernetes).


  4. Automate workflows, ensure model versioning, logging, and real-time monitoring; comply with security and regulations.


  5. Work with large-scale data, develop feature stores, and implement CI/CD pipelines for model retraining and performance tracking.


  6. Required

    Skills:
  7. .

    Proficiency in machine learning, deep learning, and data engineering (Spark, Kafka).


  8. Expertise in MLOps, automation tools (Docker, Kubernetes, Kubeflow, MLflow, TFX), and cloud platforms (AWS, GCP, Azure).


  9. Strong knowledge of model deployment, monitoring, security, compliance, and responsible AI practices.


  10. Nice to Have:.

    Experience with A/B testing, Bayesian optimization, and hyperparameter tuning.


  11. Familiarity with multi-cloud ML deployments and generative AI technologies (LLM fine-tuning, FAISS).


  12. What are the next steps.

    Register on our Soul AI website.

    Our team will review your profile.

    Clear all the screening roundsClear the assessments once you are shortlisted.

    Profile matching and Project AllocationBe patient while we align your skills and preferences with the available project.

    Skip the Noise.

    Focus on Opportunities Built for You!.

  13. Sourced from naukri

    Section · 02

    Skills

    DockerKubernetesApache SparkApache KafkaAutomation Toolsgoogle cloud platformamazon web servicesfreelancingAssessmentAb TestingPytorchTensorflowDeploying ModelsBayesianData EngineeringPythonDeep LearningMicrosoft AzureCi/CdMachine Learning

    Section · Company

    About Soul AI

    Soul AI logo

    Soul AI

    Emerging Technologies

    ₹9.4L PA avg

    Avg at Soul AI

    About

    Soul AI provides advanced AI solutions, specializing in the curation of specialized datasets to enhance the performance of large language models globally.

    Employee ratings

    10 reviews

    3.2/ 5

    Culture

    3.5

    Career growth

    3.2

    Work-life

    3.9

    Employees rate it well for

    Work-Life Balance39Compensation & Benefits38

    Find them on

    WebsiteAmbitionBox reviews

    Machine Learning Engineer (Freelancer) · waiting for your command