PRI Global | Artificial Intelligence Engineer | hyderabad

4 weeks ago

hyderabad, India PRI Global Full time

Join Our AI Lab in Hyderabad – Be at the Forefront of Global Innovation

Are you passionate about AI and eager to solve challenging, real-world problems? Our AI Lab in Hyderabad offers a unique opportunity to work on global projects, including in the U.S., where you’ll develop groundbreaking proof of concepts, minimum viable products, and full-scale productions. Join a team of top-tier talent working at the frontier of AI solutions, and shape the future with innovation and excellence.

Objective:

Play a critical role in AI-driven projects by implementing advanced models like GPT-4, Generative AI, and other leading-edge tools to drive transformation and operational efficiency across industries.

Key Responsibilities:

  • Develop and Deploy Advanced Models: Support the creation and implementation of machine learning models, with a primary focus on Generative AI, GPT-based technologies, and other pioneering AI frameworks.
  • Tackle Complex Challenges with NLP and LLMs: Leverage Natural Language Processing and Large Language Models to address intricate business problems, delivering practical solutions with significant impact.
  • Prototype and Innovate Rapidly: Engage in fast-paced prototyping of AI solutions, including text generation, conversational AI, and content automation, to build innovative products that address diverse business needs.
  • Collaborate with Industry Leaders: Work closely with senior engineers and AI experts to apply cutting-edge technologies like ChatGPT, Bard, and Claude to real-world challenges, driving value and results for our global clients.
  • Stay Ahead of the Curve: Constantly explore and integrate the latest advancements in AI tools and frameworks, ensuring our solutions remain at the forefront of technology.
  • Data Preprocessing and Management: Prepare and maintain datasets that are essential for model training and optimization, ensuring high data quality and efficiency.
  • Automate and Scale with Data Pipelines: Design and implement automated data pipelines capable of processing and analyzing large-scale datasets using AI.
  • Utilize Cloud and Containerization: Deploy and manage scalable AI models on cloud platforms (AWS, Azure) and use containerization tools like Docker to streamline model deployment and ensure scalability.

Required Skills:

  • Strong ML Foundation: Expertise in machine learning algorithms and hands-on experience with Generative AI and GPT-based tools.
  • Proficient in Python and ML Frameworks: Advanced knowledge of Python, with experience in AI/ML frameworks like TensorFlow, PyTorch, and Hugging Face.
  • Data Processing and Cloud Proficiency: Familiarity with Databricks for handling large datasets and experience with cloud platforms (AWS, Azure) for AI model deployment.
  • Containerization Knowledge: Proficient with Docker and other containerization tools for effective model deployment and scaling.
  • Passion for AI and Emerging Tech: Eager to explore and leverage the latest AI tools, such as ChatGPT, MidJourney, and other generative AI platforms, to deliver impactful solutions.

Career Advancement:

Continuous Learning: Access to training on the latest advancements in AI, ensuring you’re always at the cutting edge.

  • Global Project Exposure: Opportunities to work with diverse U.S.-based clients across various industries, gaining invaluable global experience.
  • Sponsorship Opportunities: High-performing employees will have opportunities for H-1B and Green Card sponsorship, with the potential to relocate to the U.S. for permanent residency.
  • Come be a part of our dynamic team, where innovative AI solutions meet real-world impact, and where your career path is filled with limitless potential.

Medical benefits and other benefits:

Medical

  • Medical Insurance
  • Personal Accident Insurance – Self
  • OPD – Self, Spouse and dependent children

Paid Leave and Holidays

  • Holidays – As per calendar of PRI India
  • Sick leave – 4 days per year
  • Casual Leave – 4 days per year
  • Earned Leave – 12 days per year

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