Senior Software Engineer (SDE III)

We're seeking an AI/ML Engineer to join our team-

As an AI/ML Engineer, you will be responsible for designing, developing, and implementing artificial intelligence (AI) and machine learning (ML) solutions to solve real world business problems. You will work closely with cross-functional teams, including data scientists, software engineers, and product managers, to deploy and integrate Applied AI/ML solutions into the products that are being built at NonStop io. Your role will involve researching cutting-edge algorithms, data processing techniques, and implementing scalable solutions to drive innovation and improve the overall user experience.

Responsibilities

• Applied AI/ML engineering; Building engineering solutions on top of the AI/ML tooling available in the industry today. Eg: Engineering APIs around OpenAI
• AI/ML Model Development: Design, develop, and implement machine learning models and algorithms that address specific business challenges, such as natural language processing, computer vision, recommendation systems, anomaly detection, etc.
• Data Preprocessing and Feature Engineering: Cleanse, preprocess, and transform raw data into suitable formats for training and testing AI/ML models. Perform feature engineering to extract relevant features from the data
• Model Training and Evaluation: Train and validate AI/ML models using diverse datasets to achieve optimal performance. Employ appropriate evaluation metrics to assess model accuracy, precision, recall, and other relevant metrics
• Data Visualization: Create clear and insightful data visualizations to aid in understanding data patterns, model behavior, and performance metrics
• Deployment and Integration: Collaborate with software engineers and DevOps teams to deploy AI/ML models into production environments and integrate them into various applications and systems
• Data Security and Privacy: Ensure compliance with data privacy regulations and implement security measures to protect sensitive information used in AI/ML processes
• Continuous Learning: Stay updated with the latest advancements in AI/ML research, tools, and technologies, and apply them to improve existing models and develop novel solutions
• Documentation: Maintain detailed documentation of the AI/ML development process, including code, models, algorithms, and methodologies for easy understanding and future reference

Requirements

• Bachelor's, Master's or PhD in Computer Science, Data Science, Machine Learning, or a related field. Advanced degrees or certifications in AI/ML are a plus
• Proven experience as an AI/ML Engineer, Data Scientist, or related role, ideally with a strong portfolio of AI/ML projects
• Proficiency in programming languages commonly used for AI/ML. Preferably Python
• Familiarity with popular AI/ML libraries and frameworks, such as TensorFlow, PyTorch, scikit-learn, etc.
• Familiarity with popular AI/ML Models such as GPT3, GPT4, Llama2, BERT etc.
• Strong understanding of machine learning algorithms, statistics, and data structures
• Experience with data preprocessing, data wrangling, and feature engineering
• Knowledge of deep learning architectures, neural networks, and transfer learning
• Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud) for scalable AI/ML deployment
• Solid understanding of software engineering principles and best practices for writing maintainable and scalable code
• Excellent analytical and problem-solving skills, with the ability to think critically and propose innovative solutions
• Effective communication skills to collaborate with cross-functional teams and present complex technical concepts to non-technical stakeholders

Job Responsibilities:

• Developing and installing software solutions.
• Designing, implementing and delivering high quality Software project in JAVA, SQL / Oracle, J2EE and other JAVA technologies.
• Participate in detailed level in design, coding, code walk through, peer code reviews and unit testing, System Testing, UAT, Demos, POCs, installation, maintenance of Software modules.
• Software prototype.
• System Architecture.
• Software Design Document.
• User interfaces to be developed as per UX guidelines Code files ensuring coding guidelines followed.
• Code review artefacts during peer code review.
• Test plan and Test Cases.
• Installation / Deployment document Release Document.
• Technical Documentation.

• Work on building scalable backend platform for customer & seller apps, brands platform, demand generation platform, supply chain & logistics platform, credit platform and several cross platform software components
• Participate in the process to fundamentally change the food and grocery ecosystem in India, and impact billions of people through technology, mobile, and data science

Requirements:

An ideal candidate for this role is someone who has-

• BE/BTech degree in Computer Science from a top engineering school
• 1-5 years of professional software development experience
• Strong problem solving skills and strong command on object oriented design, data structures, algorithms and other computer science fundamentals.
• Strong coding skills - professional experience in developing production-quality software in Java/Python
• Expertise in Web Services, Service-oriented architecture, Databases, NoSQL, Distributed systems, Cloud Technologies.
• Extreme software engineering skills to design and develop low-latency, high availability, internet-scale web services
• Solid understanding of the full software development life cycle and software engineering best practices
• Ability to understand business requirements and translate them into technical requirements
• Demonstrated ability to own software design and development end to end from requirements to launch.
• Ability to collaborate with cross-functional teams to define, design, and ship new features.
• A startup mindset  - An athlete who can run at breakneck speed of a startup, yet someone who can bring method to madness through processes suitable for different stages of the company - early stage prototyping and rapid experimentation, before product/market fit, after product/market fit, and scaling.
• Familiarity with Agile development, Scrums, continuous integration, and test driven development processes
• Data driven product development approach - strong focus on data backed engineering decisions.
• Ability to develop products incrementally in fast iterations
• Ability to do collaborative problem solving and design/build chaos resilient systems
• Strong focus on software quality
• Ability to mentor junior developers, and help build an excellent engineering team
• Ability to be a talent magnet - attract great talent to join the core team.