Advanced AI Engineer

Key Skills

Aartificial intelligence, API, AWS, Data science techniques, Deep Learning, DevOps, Effective communication skills, IT, Keras software library, Linear Algebra, Logistic Regression, Machine learning techniques, Natural Language Processing (NLP), Natural Language Toolkit - NLTK, PyTorch, Random forests, SAP, spaCy, TensorFlow, Web server

Job Description

Develop and Deploy advanced Machine Learning, Reinforcement learning and Deep Learning Models/algorithms to enhance and/or automate existing business processes with predictive and intelligent decision making.

Collaborate with data scientists and data engineers to build production-level models and pipelines, including any required preprocessing of input datasets and postprocessing after model inference.

Processing, cleansing and verifying the integrity of structured and unstructured business data used for analysis.

Analyze large amount of information to discover underlying trends and patterns that are relevant for solving business problems. Select features and perform proper data transformation to optimize datasets for building the models.

Evaluate, visualize and communicate the AI/ML model results and correlation with business KPI’s.

Work in a startup-type environment to design and build innovative applications using Automation, Machine Learning/Cognitive Service, business / functional proofs-of-concepts to scalable, production ready solutions across a strategic business group

Actively lead, analyze and recommend highly complex business opportunities, through assessments/workshops, detailed data analysis/modeling and overall end-end solutioning to propose predictive, AI Driven solutions that drive the most business value with sustained impact.

Research, actively experiment to stay abreast of the emerging ML and Cognitive Automation trends

Work within project planning constraints, communicating any identified project risks and issues to the delivery/project manager and provide inputs to the change control process

Help develop standard operation practices and support the Operations Teams through UAT and after go-live .

Work closely with the operations team to change, optimize existing Automation and AI/ML processes and help build effective model performance monitoring, alert and notification framework to proactively identify problems/issues before business impact

Partner and effectively communicate with Non-IT / Business users, functional counterparts and stakeholders to understand the underlying business problem, and work with the extended team to define and communicate the right technical solution.

YOU MUST HAVE

• Bachelors in Computer Science, Data Science or Engineering fields
• 3 years of IT experience in solution architect / data scientist / software development for large corporate/organizations
• 2+ years of experience in building and deploying Machine Learning solutions using various supervised/unsupervised ML algorithms such as Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Random Forest, etc
• 2+ years of hands-on experience with Python programming and statistical packages, and ML libraries such as scikit-learn, Keras, TensorFlow, PyTorch, MXNet, etc.
• 2+ years of experience in building AI solutions with Natural Language Processing, including text data cleansing techniques, data analysis, feature engineering using raw text representations using NLTK, spaCy, Gensim, etc.
• 2+ years of experience in building IT use cases / solutions especially around AI/ML cognitive services, based on Cloud infrastructure and services such as AWS and/or Azure cloud platforms.

WE VALUE

• Master's Degree in Computer Science, Data Science or Engineering fields
• Work experience / education in data science, data engineering and analytics
• Excellent understanding of Machine Learning techniques and proficiency in feature analysis, algorithm selection and model hyperparameter tuning.
• Project experience with NLP/NLG, AI Conversational Agent (Chatbot), OCR
• Experience with Domino Data Lab, Hadoop, PySpark, Hive, SQL, NiFi, Airflow, etc.
• Development experience in RPA Tools & Platform & Implementations: Examples - UiPath, Automation Anywhere and other leading RPA platform vendors
• Experience in Web Service/Restful API Integration
• Experience in ERP platform integration, preferably with SAP
• Working Experience in an Agile/Scrum/Scaled Agile and DevOps based team environment
• Certifications AI / ML and Cloud platforms
• Great communication skills