Your IT Future Delivered Senior Software Engineer AI ML Engineer With a global team of 5600 IT professionals DHL IT Services connects people and keeps the global economy running by continuously innovating and creating sustainable digital solutions We work beyond global borders and push boundaries across all dimensions of logistics You can leave your mark shaping the technology backbone of the biggest logistics company of the world All our offices have earned GreatPlaceToWork certification reflecting our commitment to exceptional employee experiences Digitalization Simply delivered At DHL IT Services we are designing building and running IT solutions for the whole DPDHL globally Grow together The AI Analytics team builds and runs solutions to get much more value out of our data We help our business colleagues all over the world with machine learning algorithms predictive models and visualizations We manage more than 46 AI Big Data Applications 3 000 active users 87 countries and up to 100 000 000 daily transaction Integration of AI Big Data into business processes to compete in a data driven world needs state of the art technology Our infrastructure hosted on-prem and in the cloud Azure and GCP includes MapR Airflow Spark Kafka jupyter Kubeflow Jenkins GitHub Tableau Power BI Synapse Analytics Databricks and further interesting tools We like to do everything in an Agile DevOps way No more throwing the problem code to support no silos Our teams are completely product oriented having end to end responsibility for the success of our product Ready to embark on the journey Here s what we are looking for Currently we are looking for AI Machine Learning Engineer In this role you will have the opportunity to design and develop solutions contribute to roadmaps of Big Data architectures and provide mentorship and feedback to more junior team members We are looking for someone to help us manage the petabytes of data we have and turn them into value Does that sound a bit like you Let s talk Even if you don t tick all the boxes below we d love to hear from you our new department is rapidly growing and we re looking for many people with the can-do mindset to join us on our digitalization journey Thank you for considering DHL as the next step in your career - we do believe we can make a difference together What will you need University Degree in Computer Science Information Systems Business Administration or related field 2 years of experience in the Data Scienctist Machine Learning Engineer role Strong analytic skills related to working with structured semi structured and unstructured datasets Advanced Machine learning techniques Decision Trees Random Forest Boosting Algorithm Neural Networks Deep Learning Support Vector Machines Clustering Bayesian Networks Reinforcement Learning Feature Reduction engineering Anomaly deduction Natural Language Processing incl sentiment analysis Topic Modeling Natural Language Generation Statistics Mathematics Data Quality Analysis Data identification Hypothesis testing Univariate Multivariate Analysis Cluster Analysis Classification PCA Factor Analysis Linear Modeling Time Series distribution probability theory and or Strong experience in specialized analytics tools and technologies including but not limited to Lead the integration of large language models into AI applications Very good in Python Programming Power BI Tableau Develop the application and deploy the model in production Kubeflow ML Flow Airflow Jenkins CI CD Pipeline As an AI ML Engineer you will be responsible for developing applications and systems that leverage AI tools Cloud AI services and Generative AI models Your role includes designing cloud-based or on-premises application pipelines that meet production-ready standards utilizing deep learning neural networks chatbots and image processing technologies Professional Technical Skills Essential Skills Expertise in Large Language Models Strong knowledge of statistical analysis and machine learning algorithms Experience with data visualization tools such as Tableau or Power BI Practical experience with various machine learning algorithms including linear regression logistic regression decision trees and clustering techniques Proficient in data munging techniques including data cleaning transformation and normalization to ensure data quality and integrity Awareness of Apache Spark Hadoop Awareness of Agile Scrum ways of working Identify the right modeling approach es for given scenario and articulate why the approach fits Assess data availability and modeling feasibility Review interpretation of models results Experience in Logistic industry domain would be added advantage Roles Responsibilities Act as a Subject Matter Expert SME Collaborate with and manage team performance Make decisions that impact the team Work with various teams and contribute to significant decision-making processes Provide solutions to challenges that affect multiple teams Lead the integration of large language models into AI applications Research and implement advanced AI techniques to improve system performance Assist in the development and deployment of AI solutions across different domains You should have Certifications in some of the core technologies Ability to collaborate across different teams geographies stakeholders levels of seniority Customer focus with an eye on continuous improvement Energetic enthusiastic and results-oriented personality Ability to coach other team members you must be a team player Robust will to overcome the complexities involved in developing and supporting data pipelines Language requirements English - Fluent spoken and written C1 level An array of benefits for you Hybrid work arrangements to balance in-office collaboration and home flexibility Annual Leave 42 days off apart from Public National Holidays Medical Insurance Self Spouse 2 children An option to opt for Voluntary Parental Insurance Parents Parent -in-laws at a nominal premium covering pre existing disease In House training programs professional and technical training certifications

📌 Senior Software Engineer (ai/ml Engineer) (Tamil Nadu)
🏢 Dhl
📍 Tamil Nadu