netwininfosolutions

AI/ML Developer – Nashik – Exp. 3+ yrs.

  • Nashik

Netwin Infosolutions

Ideas To Life

Role: AI/ML Developer

Qualification: BE/BTech/MCA

Experience: Minimum 3-4 years in AI/ML

 

The ideal candidate should have experience in building AI/ML solutions, chatbots , AI Assistant using Open Source data models like Ollama

 

Key Responsibilities

  • Develop and implement AI models. Design machine learning models and algorithms to solve problems and enhance functionality.
  • Collaborate with cross-functional teamsWork with data scientists, stakeholders, and product managers to build and deploy AI solutions.
  • Optimize AI systemsImprove the performance of AI models and systems for scalability and real-time applications.
  • Conduct data analysis. Analyze large data sets to identify patterns and insights that inform AI development.
  • Prototyping and testing. Create prototypes to test AI applications and refine machine learning techniques.
  • Maintain AI pipelinesDevelop and maintain pipelines for deploying AI models into production environments.
  • Stay updated on advancements. Research and implement the latest advancements in AI and machine learning frameworks.
  • Integrate AI solutions. Implement AI into existing software systems to enhance functionality and user experience.

Qualifications and Skills

  • Education. A bachelor’s degree in computer science, data science, or a related field; a master’s degree is preferred.
  • Work experience. Hands-on experience in AI development, data analysis, and machine learning techniques.
  • Technical skills. Proficiency in programming languages like Python, Java, and TensorFlow; familiarity with PyTorch and AWS.
  • Soft skills. Strong communication skills and problem-solving abilities to work effectively with stakeholders and cross-functional teams.
  • CertificationsRelevant certifications in AI and machine learning enhance a candidate’s skill set.
  • Knowledge base. Expertise in neural networks, natural language processing, and predictive models.
  • Data engineering. Experience working with big data, pipelines, and statistical analysis tools.


















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