Job Description :
We are seeking a highly motivated and experienced AI / ML Engineer to join our dynamic team. The ideal candidate will possess a strong foundation in computer science, coupled with extensive practical experience in developing and deploying AI-powered applications. You will be responsible for designing, building, and optimizing AI / ML models, integrating them with web applications, and contributing to the advancement of our AI capabilities. This role requires a blend of technical expertise, problem-solving skills, and a passion for staying at the forefront of AI innovation.
Responsibilities :
- Design, develop, and deploy AI / ML models using Python and relevant frameworks.
- Utilize LangChain, LangGraph, AutoGen, Hugging Face, and OpenAI APIs to build and enhance AI applications.
- Implement and optimize models using PyTorch and TensorFlow.
- Develop and maintain AI / ML workflows, including data preprocessing, model training, evaluation, and deployment.
- Integrate AI models with web applications through RESTful APIs.
- Apply MLOps best practices for model lifecycle management, CI / CD for AI, and model monitoring.
- Leverage cloud platforms (AWS, Azure, or GCP) for AI / ML development and deployment.
- Utilize containerization (Docker) and orchestration (Kubernetes) for scalable AI solutions.
- Implement and manage CI / CD pipelines, Git, and automation frameworks.
- Stay updated with the latest AI research and technologies, and apply them to improve our products and processes.
- Collaborate with cross-functional teams to define project requirements and deliver AI-driven solutions.
- Communicate complex AI concepts and findings to both technical and non-technical stakeholders.
- Troubleshoot and resolve AI-related issues and optimize model performance.
Education : Bachelor's / Master's degree in Computer Science or a related field.
Technical Skills :
3+ years of experience in building and deploying AI applications using Python.Proficiency in AI / ML frameworks such as : LangChain, LangGraph, AutoGen, Hugging Face, OpenAI APIs., PyTorch, TensorFlow.Experience in AI / ML workflows, including data processing, model deployment, and optimization.Strong understanding of algorithms, AI / ML fundamentals, and data preprocessing.Hands-on experience in RESTful APIs and integrating AI models with web applications.Familiarity with MLOps tools and practices (model lifecycle management, CI / CD for AI, and model monitoring).Experience with cloud platforms like AWS, Azure, or GCP.Knowledge of containerization (Docker) and orchestration (Kubernetes).Experience with CI / CD pipelines, Git, and automation frameworks.Soft Skills :
Passion for exploring and implementing emerging AI technologies.Self-motivated, able to work independently and collaboratively.Problem-solving and analytical skills to tackle AI challenges.Strong communication skills to explain AI concepts to stakeholders.Preferred Qualifications :
Experience with specific AI domains such as NLP, computer vision, or time series analysis.Contributions to open-source AI projects.Publications or presentations in AI / ML conferences or journals.ref : hirist.tech)