We are seeking a highly skilled Lead AI Engineer to drive the design, development, and deployment of advanced AI / ML solutions. This role requires a blend of technical expertise, leadership, and innovation. You will lead a team of engineers and data scientists, build scalable AI systems, and deliver impactful business applications using cutting-edge :
- Responsible for consulting the client to understand their AI / ML, analytics needs & delivering AI / ML applications to the client.
- Design intelligent data science solutions that delivers incremental value the end stakeholders
- Work closely with data engineering team in identifying relevant data and pre-processing the data to suitable models
- Work closely with the business intelligence team to build BI system and visualizations that delivers the insights of the underlying data science model in most intuitive ways possible
- Masters / Bachelors in Computer Science or Statistics or Economics
Requirements :
At least 4 years of experience working in Data Science field and is passionate about numbers, quantitative problemsExperienced in solving problems that require Vision AI (Computer Vision models like Yolo)Deep understanding of Machine Learning models and algorithmsExperience in analysing complex business problems, translating it into data science problems and modelling data science solutions for the sameUnderstanding of and experience in one or more of the following Machine Learning algorithms :1. Regression , Time Series
2. Logistic Regression, Naive Bayes, kNN, SVM, Decision Trees, Random Forest, k-Means Clustering etc.
3. NLP, Text Mining, LLM (GPTs)
4. Deep Learning, Reinforcement learning algorithm
Understanding of and experience in one or more of the machine learning frameworks - TensorFlow, Caffe, Torch etc.Understanding of and experience of building machine learning models using various packages in one or more of the programming languages Python / RKnowledge & Experience on SQL, Relational Databases, No SQL Databases and Datawarehouse conceptsUnderstanding of AWS / Azure Cloud architectureUnderstanding on the deployment architectures of AI / ML models (Flask, Azure function, AWS lambda)Knowledge on any BI and visualization tools is add-on (Tableau / PowerBI / Qlik / Plotly etc).Experience in Edge based AI is add onTo adhere to the Information Security Management policies and procedures.Soft Skills Required :
Must be a good team player with good communication skillsMust have good presentation skillsMust be a pro-active problem solver and a leader by selfManage & nurture a team of data scientistsDesire for numbers and patterns(ref : hirist.tech)