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Urgent! Generative AI Engineering Job Opening In Hyderabad – Now Hiring People Prime Worldwide

Generative AI Engineering



Job description

About Company:
Our client is a global technology consulting and digital solutions company that enables enterprises to reimagine business models and accelerate innovation through digital technologies.

Powered by more than 84,000 entrepreneurial professionals across more than 30 countries, it caters to over 700 clients with its extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes.
Job Title: Generative AI Engineering
Location : (PAN India) – Bangalore (Global village Tech Park) / Hyderabad (Rai Durg) / Mumbai (Powai / Mahape) / Chennai (DLF IT Park) / Pune (Shivajinagar) / Noida (Candor Techspace, Industrial Area) / Gurgaon (Ambience Island, DLF Phase 3) / Kolkata (Merlin Infinite, Salt Lake Electronics Complex)
Experience : 6 to 8 Years
Employment Type : Contract to Hire
Work Mode : Hybrid
Notice Period : Immediate Joiners Only
Job Description:
Minimum 6 - 8 years of experience in Data Science and Machine Learning.
In-depth knowledge of machine learning, deep learning, and generative AI techniques.
Proficiency in programming languages such as Python and frameworks like
TensorFlow or PyTorch.
Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models.
Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment.
Expertise in data engineering, including data curation, cleaning, and preprocessing.
Knowledge of trusted AI practices, like fairness, transparency, and accountability in AI models and systems.
Strong collaboration with engineering teams to ensure seamless integration and deployment of AI models.
Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels.
Understanding of data privacy, security, and ethical considerations in AI applications.
Track record of driving innovation and staying updated with the latest AI research and advancements.

Good to Have Skills:
Knowledge and/or hands on experience in Cyber domain AI applications
Vulnerability Management tools such as AquaSec, Qualys, Wiz, Check Marx, and MS Defender
Knowledge of secure software development lifecycle (SSDLC) processes
Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems.
Knowledge on DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models.
Implement CI/CD pipelines for streamlined model deployment and scaling processes.
Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.
Implement monitoring and logging tools to ensure AI model performance and reliability.


Required Skill Profession

Computer Occupations



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