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AI/ML Engineer

0 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Job Type

Contractual

Job Description

Company Overview:

The Opportunity:

Key Responsibilities:

  • Lead efforts to leverage existing AI models and frameworks to solve complex business challenges.
  • Conduct the full data modeling and algorithm development lifecycle (modeling, training, tuning, validating, deploying, maintaining).
  • Demonstrate strong domain expertise in various AI areas including LLM, Computer Vision, Time Series, RAG, fine-tuning large models, and traditional ML models.
  • Stay current with industry trends and advancements in data science and AI.
  • Perform data analysis and provide insights for business decisions.
  • Ensure adherence to data privacy and security protocols.
  • Collaborate with cross-functional teams to translate requirements into AI/data science solutions.
  • Document and communicate technical designs, processes, and best practices.
  • Manage projects to ensure timely completion in a dynamic environment.

Requirements:

  • Master’s or PhD in Computer Science, Engineering, Mathematics, Applied Sciences, or related field.
  • Strong programming skills in Python, Java, or C++, with experience in TensorFlow, PyTorch, or scikit-learn.
  • In-depth knowledge of current machine learning algorithms, AI technologies, and platforms.
  • Experience with data engineering/processing frameworks (e.g., Databricks, Spark, Dataflow) and SQL proficiency.
  • Solid experience in data preprocessing, feature engineering, and model evaluation.
  • Familiarity with cloud platforms (AWS, Azure, Google Cloud) and containerization (Docker, Kubernetes) is a plus.
  • Strong knowledge of software development best practices, version control systems, and agile methodologies.
  • Results-driven with excellent problem-solving, communication (verbal and written), and collaboration skills.
  • Experience in the automotive industry is highly desirable

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