
Netwin Infosolutions
Ideas To Life
Role: AI/ML Developer
Qualification: BE/BTech/MCA
Experience: Minimum 3-4 years in AI/ML
Ideal Tech Stack: Python, SQL, Ollama, Llama, Gen AI, NLP, Nero Networks, RAG, AI/ML, bert, vector database, milvus, croma db, docker, Cloud (AWS, Azure, GCP), Lamba Functions, Chatbots, AI Assistant.
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 teams: Work with data scientists, stakeholders, and product managers to build and deploy AI solutions.
- Optimize AI systems: Improve 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 pipelines: Develop 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.
- Soft skills: Strong communication skills and problem-solving abilities to work effectively with stakeholders and cross-functional teams.
- Certifications: Relevant certifications in AI and machine learning will be plus.
- Knowledge base: Expertise in neural networks, natural language processing, and predictive models.
- Data engineering: Experience working with big data, pipelines, and statistical analysis tools.