Generative AI Engineer
4 weeks ago
Company Description
Flipr is a forward-thinking technology company that specializes in Web and Mobile app development, DevOps, AI, and ML services. With a commitment to timely results and empowering founder's visions, Flipr serves as a partner in bringing ideas to life. The company prioritizes flawless execution and adherence to specified timelines, ensuring the success of their clients.
Roles and Responsibilities:
- Working along with the Business Analyst, Testing teams and coordinating for smooth delivery aligned with business requirements
- Design, develop, and deploy advanced AI/ML models across NLP, Computer Vision, and Generative AI projects.
- Research, Design, and implement Generative AI solutions using Azure OpenAI model, Copilot services and other Azure AI Services. Create AI powered applications for text generation, knowledge base search, content creation and conversational agents.
- Performing code optimization and identifying potential issues and defects
- Working on database design with normalization
- Participating in the deployment program by creating a reusable module diagram and packing the solution
- Adhere to industry standard best practices for AI/ML development and deployment, ensuring maintainable, scalable, and secure solutions.
- Adhere to Intelligent Automation specific coding standards and best practices.
- Analyzing the technical & functional feasibility of new use cases which needs to be automated
- Working on test procedures and scenarios for the pre-UAT phases
- Implementing change requirements supporting a structured change control process
- Monitoring and working on solving issues on day-to-day basis for the solutions developed and deployed
- Working with Business Analyst and SME for feasibility analysis
- Attending meetings for the solution development and problems identified with
- the solution
- Capable of taking up complex challenges in AI/ML domain
- Mentor and train fellow COE members to cross skill on AI/ML technologies
Knowledge and Skills Requirements:
- Agile mindset and team player.
- 5+ years of hands-on experience in designing, developing, deploying and
- supporting AI/ML solutions
- 5+ years of hands-on experience in designing, developing, deploying and
- supporting UI/UX/Front end for the AI/ML solutions
- Proficiency in Python and relevant libraries like TensorFlow, Keras, PyTorch,
- Scikit-learn, SpaCy, Transformers (Hugging Face), OpenCV etc.
- Hands on experience using Azure Cognitive Services (Language, Vision,
- Speech, etc.), Azure Machine Learning, and other related Azure AI tools for
- developing, deploying, and managing AI models.
- Strong knowledge and experience using LLM models.
- Hands on experience with Azure OpenAI models and MS Copilot services for
- building generative AI solutions, including text generation, conversational
- agents, and content automation.
- Strong understanding of data pipelines, feature engineering, data
- transformation, and database design, including experience with SQL and
- NoSQL databases.
- Hands on experience in designing, developing, and consuming SOAP/REST
- APIs
- Experience with Lean / Agile development methodologies.
- Capable of delivering on multiple competing priorities with little supervision
- Good verbal and written communication skills
- Able to resolve technical issues associated with AI/ML solutions
- Willing to work in 24/7 shifts.
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