Expert AI/ML Engineer

0 years

0 Lacs

Posted:12 hours ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Contractual

Job Description

Expert AI/ML Engineer


Salary Range: USD $2500 - $3000 monthly + Bonus – Depending on experience


Location: Remote


Employment Type: Contract


We are looking for a talented AI / ML Engineer to design, develop, and deploy machine learning and artificial intelligence solutions. This role is ideal for candidates with experience in data-driven modeling, algorithm development, and production-ready ML systems.

Key Responsibilities:-


  • Design, build, and deploy machine learning and AI models.
  • Analyze large datasets to extract insights and improve model performance.
  • Develop and optimize algorithms for prediction, classification, NLP, or computer vision tasks.
  • Collaborate with software, data, and product teams to integrate AI solutions into applications.
  • Monitor, evaluate, and improve models in production environments.
  • Document models, experiments, and technical decisions.


Required Qualifications:-

  • Candidates should meet most of the following criteria:
  • Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field.
  • Strong understanding of machine learning algorithms and AI concepts.
  • Proficiency in programming languages such as Python (preferred), Java, or C++.
  • Experience with ML frameworks/libraries (TensorFlow, PyTorch, Scikit-learn).
  • Solid knowledge of data preprocessing, feature engineering, and model evaluation.
  • Familiarity with databases, APIs, and version control (Git).


Preferred Skills (Nice to Have) :-


  • Experience with deep learning, NLP, or computer vision.
  • Knowledge of cloud platforms (AWS, GCP, Azure).
  • Experience deploying models using Docker, Kubernetes, or MLOps tools.
  • Understanding of big data tools (Spark, Hadoop).
  • Exposure to generative AI or large language models.

This Is What Our Client Offers You:


  • Highly competitive compensation with performance-based bonuses
  • Flexible remote working options
  • Exposure to cutting-edge AI and enterprise-scale projects
  • Continuous learning budget, certifications, and conference support
  • Collaborative, innovation-driven work culture
  • Leadership growth and long-term career advancement opportunities


Does this sound exciting to you?


Then apply with your latest CV/Resume in PDF format. We look forward to receiving your application!

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