Position : Lead AI / ML Engineer
What You Will Do :
You will play a key role in designing, developing, and deploying advanced AI / ML and GenAI-based solutions to solve real-world business problems. Your responsibilities will include but are not limited to :
- Lead end-to-end development of AI / ML models including data preprocessing, model training, evaluation, and deployment.
- Architect and implement scalable ML pipelines using tools like MLflow, Kubeflow, or Azure ML.
- Design and develop solutions leveraging Generative AI, LLMs (OpenAI, Azure OpenAI, Hugging Face, etc.), and prompt engineering techniques.
- Collaborate with data engineers, product managers, and business teams to understand requirements and translate them into AI-driven solutions.
- Optimize models for performance, scalability, and business impact using MLOps practices.
- Work on NLP, computer vision, and predictive analytics use cases depending on the project need.
- Stay current with the latest research and advancements in AI / ML and implement relevant innovations into ongoing projects.
- Mentor junior engineers and lead code reviews, architecture decisions, and model governance practices.
- Ensure compliance with data governance, security, and ethical AI standards.
- Document models, pipelines, and workflows for maintainability and reusability.
Required Qualifications :
Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.6+ years of experience in building and deploying ML / AI solutions in production environments.Strong expertise in Python and ML libraries such as Scikit-learn, TensorFlow, PyTorch, XGBoost, etc.Experience with Generative AI and LLMs (OpenAI, Azure OpenAI, LangChain, Hugging Face Transformers, etc.).Proficiency in deploying models using MLOps tools (MLflow, Azure ML, SageMaker, or similar).Solid understanding of data structures, algorithms, and ML fundamentals.Experience with cloud platforms (Azure preferred; AWS / GCP is a plus).Strong SQL and data wrangling skills.Experience in NLP, computer vision, or time-series forecasting is a strong plus.Excellent communication and leadership skills with the ability to guide teams and present to stakeholders.ref : hirist.tech)