Engineering Manager - Backend

About NonStop io Technologies

NonStop io Technologies is a value-driven company with a strong focus on process-oriented software engineering. We specialize in Product Development and have a decade's worth of experience in building web and mobile applications across various domains. NonStop io Technologies follows core principles that guide its operations and believes in staying invested in a product's vision for the long term. We are a small but proud group of individuals who believe in the 'givers gain' philosophy and strive to provide value in order to seek value. We are committed to and specialize in building cutting-edge technology products and serving as trusted technology partners for startups and enterprises. We pride ourselves on fostering innovation, learning, and community engagement. Join us to work on impactful projects in a collaborative and vibrant environment.

Brief Description:

We're seeking an AI/ML Engineer to join our team. As 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 engineering teams, including software engineers, domain experts, 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 and 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 behaviour, 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.

Qualifications & Skills

● 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 Description:  

As a L3 analyst, you will play a key role within the Application Management team, leading services for its customer(s). This service has responsibility for the smooth daily operational running of the Client platform both in the cloud and on-premises. The Client application is business critical and centrally manages data for trading, settlement, risk, client and regulatory reporting systems. As a L3 analyst, you will be responsible for supporting complex infrastructure and application issues raised by L1/L2 support teams, and business analysts. You would also be working on client requests for enhancements, fixes, maintaining custom code, and following the best practices such as Agile, DevOps, etc.

The role is a technical role requiring a good technical knowledge of SQL/PLSQ, Core Java along with good debugging skill while supporting client implementations. You should have basic understanding on Unix system and commands. The ability to troubleshoot issues, assist users and help write specifications is essential. This position also works with product management to improve the software engineering processes and practices associated with continuously building, deploying, and updating software and environments.

• Accountability and primary responsibility/duties:
• A typical day would look like as follows: -
  • 40% support issues.
  • 40% configuration/development work.
  • 20% continuous improvement, automation, CICD, so on.
• Activities would range across the lifecycle from discovery to post-implementation support.
• Understanding client’s requirement, replicate the problem and providing the solution
• Understanding and developing new requirements coming in from BAs (Business Analysts) and customers.
• Update the existing functionality based on client needs.
• Develop changes that cater to enhancing the product and/or fixing production issues
• Prepare product releases of software components. (Java/SQL-PLSQL)
• Contribute in all phases of the development cycle. (development/Deployment/Testing, peer review)
• Create technical document for all changes made.

Required Qualifications/Knowledge/Skills

• Bachelor’s degree in Computer Science or related field
• Strong basics and working experience in following technologies: -
  • Core Java.
  • SQL / PLSQL coding.
  • Object Oriented Programming concepts and data structures.
• Working knowledge on Unix platform
• Working knowledge on XSLT and XML handling
• Basic understanding App & web server working knowledge (JBOSS, WebLogic and WebSphere) and debugging skills.
• Advantageous to have:
  • Working understanding on CICD, Dev-ops technologies.
  • Queuing technologies including Kafka, MQ, Solace.
  • Scripting including Python, Unix, java.
• Hands on knowledge of Dev ops processes and tools Good interpersonal and communication skills.
  
  

Responsibilities

§Implement assigned user stories within project schedule.

§Execute unit testing using automated unit test frameworks.

§Collaborate with team to identify and fix technical issue.

Job Description

§Experience in Java/J2EE, web framework (Spring, Hibernate) and web services.

§Hands-on with core Java and Spring MVC.

§Hands-on experience to implement and manage REST and Micro services.

§Familiar with DevOps pipelines.

§Experience in Agile development methodology like Scrum and test-driven Development.

§Good communication skill.

JAVA, JSP, jQuery, Servlet, Hibernate, Spring MVC, Spring boot, SOAP and REST Web Services, Microservices, knowledge of SQL query, build tool like Ant and Maven, very good analytical and logical skills.

Good to have: Redis and Memcached cache management, JBOSS 7 and above, API gateway, Apache, EJB

• Hands-on Java Engineers, with experience building consumer-facing or enterprise applications using Java stack – Spring, Hibernate, MySQL
• Strong problem solving and analytical skills
• Strong understanding of Object-Oriented Programming concepts and Design patterns.

Do You Know? (Skills good to have)

• Exposure to building service-oriented distributed systems
• In building systems that process big data in a distributed environment, either in real-time streaming or offline batching.
• In messaging systems like Kafka, RabbitMQ, kinesis, etc.
• In real-time computation tools like Storm / Spark or Hadoop-based tools.
• In Data warehousing technologies like Redshift, BigQuery, etc.