Backend Developer

Position: AIML_Python Enginner

Kothapet_Hyderabad _Hybrid.( 4 days a week onsite)

Contract to hire fulltime to client.

5+ years of python experience for scripting ML workflows to deploy ML Pipelines as real time, batch, event triggered, edge deployment

4+ years of experience in using AWS sagemaker for deployment of ML pipelines and ML Models using Sagemaker piplines, Sagemaker mlflow, Sagemaker Feature Store..etc.

3+ years of development of apis using FastAPI, Flask, Django

3+ year of experience in ML frameworks & tools like scikit-learn, PyTorch, xgboost, lightgbm, mlflow.

Solid understanding of ML lifecycle: model development, training, validation, deployment and monitoring

Solid understanding of CI/CD pipelines specifically for ML workflows using bitbucket, Jenkins, Nexus, AUTOSYS for scheduling

Experience with ETL process for ML pipelines with PySpark, Kafka, AWS EMR Serverless

Good to have experience in H2O.ai

Good to have experience in containerization using Docker and Orchestration using Kubernetes.

🚀 Hiring: Node.js Developer

⭐ Experience: 2+ Years

📍 Location: Mumbai (Andheri East)

⭐ Work Mode:- 5 Days Work From Office

⏱️ Notice Period: Immediate Joiners or 15 Days

(Only immediate joiners & candidates serving notice period)

We’re looking for a passionate Node.js Developer to join our team! If you have hands-on experience with Node.js, Express.js, REST APIs, and databases (such as MongoDB/MySQL/PostgreSQL), we want to hear from you.

✅ Key Skills:

• Strong in JavaScript (ES6+), Node.js, Express.js
• Strong knowledge of JavaScript (ES6+), Express.js, and asynchronous programming.
• Experience with databases (MongoDB, MySQL, or PostgreSQL).
• Familiarity with REST APIs, authentication (JWT/OAuth), and security best practices.
• Experience with Git/GitHub and Agile development methodologies.
• Basic knowledge of cloud platforms (AWS, Azure, GCP) is a plus.
• Develop, test, and maintain server-side applications using Node.js.

• Software Engineering
  • Design and develop highly scalable, available, reliable, secure and fault tolerant systems with minimal guidance for a market leader in the logistics industry
  • Partner with team members on functional and nonfunctional requirements and spread design philosophy, goals and improve the code quality across the team
  • Research new technologies and tools that enable building the next generation of our services
  • Provide technology leadership to the team and foster engineering excellence
• Product Delivery
  • Partner with product managers to define and execute on the feature roadmap
  • Translate business requirements into scalable and extensible design
  • Coordinate with various cross functional teams on planning and execution
  • Maintaining automated build / test / deployment environments

• Software Engineering
  • Should have at least 3 years of hands-on experience in designing, developing, testing and deploying applications on Java, Ruby, Kotlin, Python, Node or Go for large scale applications
  • Deep knowledge of one of the programming languages they have experience in
  • Proficient in OOP and Design Patterns, experience with functional programming would be a plus
  • Data modelling experience in Relational Databases
  • Ability to design and implement low latency RESTful services
• Product Delivery
  • Ability to scope, review and refine user stories for technical completeness and to alleviate dependency
  • Well versed in working with agile methodologies which includes phases such as design, development, code review, testing and release management
  • Ability to have worked in a CI/CD environment, with hands on experience with Git or any similar source code management tools
• Product Maintenance

• Experience troubleshooting server performance issues such as memory tuning, GC tuning, resource leaks
• Continuously refactor applications to ensure high quality design

Exp: 4-6 years

Position: Backend Engineer

Job Location: Bangalore ( office near cubbon park - opp JW marriott)

Work Mode : 5 days work from office 

Requirements:

● Engineering graduate with 3-5 years of experience in software product development.

● Proficient in Python, Node.js, Go

● Good knowledge of SQL and NoSQL

● Strong Experience in designing and building APIs

● Experience with working on scalable interactive web applications

● A clear understanding of software design constructs and their implementation

● Understanding of the threading limitations of Python and multi-process architecture

● Experience implementing Unit and Integration testing

● Exposure to the Finance domain is preferred

● Strong written and oral communication skills

Basic Qualifications:

• 3+ years of non-internship professional software development experience
• Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
• 1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.

Additional Job requirements

• BS/MS/PhD in Computer Science/Math or equivalent
• BS in computer science or related field.
• 2+ years of relevant professional software development experience: designing, developing, and delivering software written in Java, C#, or C++, web development.
• Knowledgeable in object-oriented design patterns.
• Experience building highly scalable and distributed systems

Preferred Qualifications

• Experience with service-oriented architecture and application/services development
• Passion for performance debugging and benchmarking

Ability to clearly and concisely communicate with technical and non-technical stakeholders across all levels of the organization

• 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.