Key Responsibilities
- Lead the day-to-day development of AI solutions, including writing production-grade code and building scalable systems.
- Candidate should have good hands-on -Design & Development – Full SDLC in Python, .Net and Strong in Gen AI area.
- Interact directly with customers to understand requirements, propose solutions, and ensure successful delivery.
- Design and implement AI-driven features such as chatbots, recommendation engines, Agentic AI, and automation tools.
- Build secure and scalable AI pipelines that integrate with enterprise systems and cloud platforms.
- Evaluate and apply AI frameworks, libraries, and platforms aligned with business and technical needs.
- Select and implement machine learning algorithms, NLP models, and other Gen AI technologies.
- Ensure compliance with data privacy, security, and ethical standards in all AI/ML implementations.
- Stay current with advancements in Gen AI tools and recommend their adoption within engineering teams.
- Provide technical mentorship to developers and engineers working on AI initiatives.
- Maintain clear documentation and architecture diagrams for deployed AI solutions.
Qualifications
- Proven experience as an AI Engineer, Machine Learning Engineer, or similar role, with a portfolio of delivered AI/Gen AI solutions.
- Proficiency in AI platforms and tools such as Azure OpenAI, Hugging Face, and LangChain ecosystem (LangGraph, LangSmith, LangFuse).
- Strong programming skills in Python, C#, and Node.js, with experience in API development and system integration.
- Expertise in NLP, machine learning, deep learning, or computer vision.
- Experience with Azure and AWS cloud platforms and their AI/ML services.
- Familiarity with enterprise application development and full-stack technologies.
- Hands-on experience with chatbot development, automation frameworks, and AI-based decision systems.
- Knowledge of AI ethics, data governance, and security best practices.
- Excellent problem-solving and communication skills.
- Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related field.
Preferred Qualifications
- Certifications in AI/ML from Azure or AWS.
- Experience with low-code/no-code AI integration tools.
- Understanding of DevOps practices for AI/ML model deployment.
- Experience in customer-facing roles, with the ability to translate business needs into technical solutions.
Thanks & Regards,
Navneet Singh Talent Acquisition Specialist, Fast Hire INC |
