Manager – FlexiGen AI

This is a fully remote position, open to applicants in India.

📋 Description

• Contribute to the design and execution of cutting-edge AI solutions.

• Assist in developing and implementing AI models and systems, utilizing techniques such as Language Models (LLMs) and generative AI.

• Work closely with stakeholders to pinpoint business opportunities and establish AI project objectives.

• Remain informed about the latest advancements in generative AI techniques, including LLMs, and assess their potential applications for addressing enterprise challenges.

• Apply generative AI techniques, such as LLMs, to create innovative solutions tailored for enterprise industry use cases.

• Integrate with relevant APIs and libraries, including Azure Open AI GPT models and Hugging Face Transformers, to utilize pre-trained models and enhance generative AI functionalities.

• Develop and optimize comprehensive pipelines for generative AI projects, ensuring efficient data processing and model deployment.

• Employ vector databases, such as Redis, and NoSQL databases to effectively manage large-scale generative AI datasets and outputs.

• Implement similarity search algorithms and techniques to facilitate efficient and accurate retrieval of pertinent information from generative AI outputs.

• Collaborate with domain experts, stakeholders, and clients to comprehend specific business needs and customize generative AI solutions accordingly.

• Conduct research and evaluation of advanced AI techniques, such as transfer learning, domain adaptation, and model compression, to boost performance and efficiency.

• Establish evaluation metrics and methodologies to measure the quality, coherence, and relevance of generative AI outputs for enterprise industry applications.

• Ensure adherence to data privacy, security, and ethical standards in AI applications.

• Utilize data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications.

⛳️ Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline.

• A Ph.D. is an advantage.

• A minimum of 8-11 years of experience in Data Science and Machine Learning.

• Profound knowledge of machine learning, deep learning, and generative AI techniques.

• Proficient in programming languages such as Python and R, along with frameworks like TensorFlow or PyTorch.

• Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models.

• Familiarity with computer vision techniques for tasks like image recognition, object detection, or image generation.

• Experience with cloud platforms such as Azure, AWS, or GCP, and deploying AI solutions in a cloud setting.

• Expertise in data engineering, including data curation, cleaning, and preprocessing.

• Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems.

• Strong collaboration with software engineering and operations teams to guarantee seamless integration and deployment of AI models.

• Excellent problem-solving and analytical skills, with the capability to translate business requirements into technical solutions.

• Strong communication and interpersonal skills, enabling effective collaboration with stakeholders at various levels.

• Understanding of data privacy, security, and ethical considerations in AI applications.

• Proven track record of driving innovation and remaining current with the latest AI research and advancements.

🏝️ Benefits

• Competitive salary.

• Flexible working hours.

• Professional development budget.

• Home office setup allowance.

• Global team events.