Tech Lead-Python

• Strong hands-on experience in Generative AI / LLMs / NLP (OpenAI, LangChain, Hugging Face, etc.).
• Proficiency in Python for AI/ML model development and backend integration.
• Experience with React JS for building frontend applications.
• Familiarity with REST APIs, CI/CD, and agile environments.
• Solid understanding of data structures, algorithms, and system design.

Requirements

• 3+ years work experience with production-grade python. Contribution to open source repos is preferred
• Experience writing concurrent and distributed programs, AWS lambda, Kubernetes, Docker, Spark is preferred.
• Experience with one relational & 1 non-relational DB is preferred
• Prior work in the ML domain will be a big boost

What You’ll Do

• Help realize the product vision: Production-ready machine learning models with monitoring within moments, not months.
• Help companies deploy their machine learning models at scale across a wide range of use-cases and sectors.
• Build integrations with other platforms to make it easy for our customers to use our product without changing their workflow.
• Write maintainable, scalable performant python code
• Building gRPC, rest API servers
• Working with Thrift, Protobufs, etc.

• Programming Language: Python (Strong knowledge)
• Concurrency & Parallelism: Multithreading, Multiprocessing, AsyncIO, ThreadPoolExecutor, Future, concurrent.futures
• Memory Management: Reference Counting, Global Interpreter Lock (GIL)
• Distributed Computing: Dask, Apache Spark (Preferred)
• Data Processing: NumPy
• Inter-Service Communication: GRPC, REST API
• Containerization & Orchestration: Docker, Kubernetes
• Software Development Practices: Code Optimization, Debugging, Performance Tuning
• Communication & Problem-Solving: Technical Documentation, Team Collaboration, Asking for Clarity When Needed

Skills And Expertise

• Python, 
• Multithreading, 
• Multiprocessing, 
• Dask, Apache Spark, 
• NumPy, 
• REST API, 
• Docker, 
• Kubernetes, 
• Code Optimization

• Work across all phases of application development including requirement gathering, coding, release, bug fixing, documentation.
• Lead and mentor a team of developers guiding them in their day to day activities.
• Collaborate with other engineering teams to develop and deliver new features and enhance existing ones.
• Rapid prototyping (POCs) based on requirements.
• Test, debug and fix any functional or non-functional issues.
• Work with the architects to ensure feasibility of the design while ensuring all quality attributes are met.
• Participate in deployment and release activities.

• 5+years of relevant experience.
• Experience in leading a team.
• Expertise in Python, Django DRF, REST APIs
• Experience with Document DB, RDBMS and ORM.
• Demonstrated ability to write clean and testable code.
• Knowledge of MongoDB, PostgreSQL, Redis, ElasticSearch is preferred.
• Exposure to AWS will be an added advantage.
• Familiarity with front-end technologies (ReactJS, Javascript etc) will be a plus.
• Strong team player who can work efficiently in a highly collaborative effort.
•  Self-motivated and able to work independently as well as within a team.

About Rolling Arrays

Rolling Arrays provides HR Software and HR System Implementation Services (SAP SuccessFactors, Qualtrics, Reimburse, CICO, eFile, eAuthoring) to Clients in Singapore, Malaysia, Australia, UAE, Hong Kong. Rolling Arrays (RA) was featured as Singapore’s Top 75 fastest growing companies by the leading newspaper of Singapore - The Straits Times in 2021 where RA was ranked 48. Rolling Arrays has 2 lines of businesses: 

HR System Implementation Services: 

Rolling Arrays is regarded as number ONE mid-size firm in the South East Asian Market with a strong track record of 12 Years and more than 200 enterprise level HR Technology Implementation projects till date. The services include – 

• SAP SuccessFactors Design Consulting
• SAP SuccessFactors Implementation
• SAP SuccessFactors Change Management
• SAP SuccessFactors Support Services (AMS)

HR Software Products in Rolling Arrays’ portfolio (partner’s products and own products): 

• SAP SuccessFactors (World’s leading End to End Cloud HR Software solution)
• Qualtrics (World’s leading Experience Management Software)
• Reimburse (AI Enabled Travel & Expense Management Software for Enterprises)
• CICO (Intelligent Time Capture Machine, a software alternative to Physical Biometric Devices)
• eFile (Digitize and contextualize all employee documents in one place)
• eAuthoring (Author and publish your own learning content to capture tacit knowledge in the organization)

• Python. Django Rest Framework experience would be great, but not essential! We prioritise
• quality over quantity.
• Postgres with InfluxDB, Oracle, MySQL and Redis experience a plus.
• Docker, Kubernetes, Helm, OpenShift and associated tooling.
• AWS, especially ECS, Lambda, RDS and DynamoDB. Performance and uptime are super
• important to us.
• The challenge of scaling a global, distributed API to 10,000+ requests per second.
• We have SDKs in a bunch of languages, so the more polyglot you are the better.
• If you like writing JS and React that would be awesome too.

• Set up, manage, automate and deploy AI models in development and production infrastructure.
• Orchestrate life cycle management of AI Models
• Create APIs and help business customers put results of the AI models into operations
• Develop MVP ML learning models and prototype applications applying known AI models and verify the problem/solution fit
• Validate the AI Models
• Make model performant (time and space) based on the business needs
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Processing, cleansing, and verifying the integrity of data used for analysis 
• Ensuring that algorithms generate accurate user recommendations/insights/outputs
• Keep abreast with the latest AI tools relevant to our business domain

• Bachelor’s or master's degree in Computer Science, Statistics or related field 
• A Master’s degree in data analytics, or similar will be advantageous.
• 3 - 5 years of relevant experience in deploying AI models to production
• Understanding of data structures, data modeling, and software architecture
• Good knowledge of math, probability, statistics, and algorithms
• Ability to write robust code in Python/ R
• Proficiency in using query languages, such as SQL
• Familiarity with machine learning frameworks such as PyTorch, Tensorflow and libraries such as scikit-learn
• Worked with well know machine learning models ( SVM, clustering techniques, forecasting models, Random Forest, etc.)
• Having knowledge in CI/CD for the building and hosting the solutions
• We don’t expect you to be an expert or an AI researcher, but you must be able to take existing models and best practices and adapt them to our environment.
• Adherence to compliance procedures in accordance with regulatory standards, requirements, and policies. 
• Ability to work effectively and independently in a fast-paced agile environment with tight deadlines 
• A flexible, pragmatic, and collaborative team player with an innate ability to engage with data architects, analysts, and scientists.

• 0-3 application development experience in solution building on Blockchain technology.
• Solid understanding of and experience in blockchain / distributed ledger technologies familiarity with platforms, such as Ethereum and Hyperledger.
• Any additional expertise with Python, containerization (Docker) and additional Cloud exposure also a huge plus
• Security Architecture / Cryptography is a plus.
• Any additional expertise with Python, containerization (Docker) and additional Cloud exposure also a huge plus.
• Experience on development tools such as Hyperledger Fabric/Sawtooth,Geth , Composer, Solidity Remix Functional
• Basic understanding of Web applications architecture and protocols.