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Freelance Machine Learning Engineer
Freelance Machine Learning EngineerLeading MNC • Kakinada, IN
Freelance Machine Learning Engineer

Freelance Machine Learning Engineer

Leading MNC • Kakinada, IN
10 hours ago
Job description

Looking for a Freelance Machine Learning Engineer to join a team of rockstar developers. The candidate should have a minimum of 8+ yrs. of experience.

There are multiple openings. If you're looking for freelance / part time opportunity (along with your day job) & a chance to work with the top 0.1% of developers in the industry, this one is for you! You will report into IIT'ans / BITS grads with 10+ years of development experience + work with F500 companies (our customers).

Company Background - We are a multinational software company that is growing at a fast pace. We have offices in Florida & New Delhi. Our clientele spreads across the US, Australia & APAC. To give you a sense of our growth rate, we've added 70+ employees in the last 6 weeks itself and expect another 125+ by the end of Q4 2025.

Key Responsibilities

  • Design, build, and deploy ML models into production-grade environments.
  • Set up and manage MLOps pipelines for continuous training, monitoring, and versioning.
  • Automate workflows for data processing, model deployment, and CI / CD.
  • Work closely with engineering and product teams to translate business needs into ML solutions.
  • Implement model performance monitoring, logging, and alerting systems.
  • Optimize ML workloads for scalability, cost, and performance in cloud environments.
  • Ensure best practices in security, governance, and reproducibility.

Must-Have Skills

  • Machine Learning & AI : Model development, training, evaluation, and optimization.
  • MLOps : Model deployment, monitoring, ML pipelines, experiment tracking (e.g., MLflow, Kubeflow).
  • DevOps : CI / CD, containerization (Docker), orchestration (Kubernetes).
  • Python : Advanced proficiency with ML libraries and automation.
  • Cloud Platforms : AWS / GCP / Azure (any one or more).
  • Version Control & Automation : Git, scripting, workflow automation.
  • Good to Have

  • Experience with distributed systems and data pipelines.
  • Knowledge of LLMs, RAG, Vector DBs, or GPU-based training.
  • Experience with monitoring tools like Prometheus, Grafana, etc.
  • What we need

  • ~35 hours of work per week.
  • 100% remote from our side
  • You will be paid out every month.
  • Min 7+yrs of experience
  • Please apply only if you have a 100% remote job currently
  • If you do well, this will continue for a long time
  • Create a job alert for this search

    Machine Learning Engineer • Kakinada, IN

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