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Position: Lead Backend Engineer

Location: Pune, India (Initially Remote Due to COVID 19)

About the Organization:

It is one of the most exciting Bay Area Product Driven Organization in Logistics industry supporting more than 30,0000 customers.

As a software engineer on the Backend team, you will be building and owning backend services and infrastructure that power our core products. We strive for high standard of engineering quality while solving unique hardware as well as software challenges. You will have high impact roles at a relatively small company for our user base. You thrive in fast-paced, unstructured environments that require you to wear many hats and think on your feet.



What we are looking for?

• 4+ years of software engineering experience
• 2+ year of experience in Python/Django or Go
• Familiarity with Node.JS is a plus
• You write high quality and well-tested code to meet the needs of your customers.
• Good intuition for REST API design
• Start-up experience is a plus
• BS/MS/PHD in Computer Science or a related field (ideal)
• Preferably a Pune based candidate who can join at the earliest / Within a month

Should Be a Computer Science Graduate from a Tier-1 Engineering college like IIT/ BHU / NIT / VIT / COEP / PICT / BITS

Why join us?

1. Very high-growth
2. Passionate, collaborative, and awesome co-workers
3. Free lunches
4. Competitive salaries
5.  

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

Minimum requirements

5+ years of industry software engineering experience (does not include internships nor includes co-ops)

Strong coding skills in any programming language (we understand new languages can be learned on the job so our interview process is language agnostic)

Strong collaboration skills, can work across workstreams within your team and contribute to your peers’ success

Have the ability to thrive on a high level of autonomy, responsibility, and think of yourself as entrepreneurial

Interest in working as a generalist across varying technologies and stacks to solve problems and delight both internal and external users

Preferred Qualifications

Experience with large-scale financial tracking systems

Good understanding and practical knowledge in cloud based services (e.g. gRPC, GraphQL, Docker/Kubernetes, cloud services such as AWS, etc.)

Job Title: Python Developer (FastAPI)

Experience Required: 4+ years

Location: Pune, Bangalore, Hyderabad, Mumbai, Panchkula, Mohali 

Shift: Night Shift 6:30 pm to 3:30 AM IST

About the Role

We are seeking an experienced Python Developer with strong expertise in FastAPI to join our engineering team. The ideal candidate should have a solid background in backend development, RESTful API design, and scalable application development.

Required Skills & Qualifications

· 4+ years of professional experience in backend development with Python.

· Strong hands-on experience with FastAPI (or Flask/Django with migration experience).

· Familiarity with asynchronous programming in Python.

· Working knowledge of version control systems (Git).

· Good problem-solving and debugging skills.

· Strong communication and collaboration abilities.

• To support and maintain existing Java code base, debug the application 
• To analyse user and business requirements and design and implement appropriate solutions 
• To design and code programs following in-house standards and good design principles 
• To ensure that all programs are documented to the company standards 
• To create unit test plans and perform unit testing of the programs
• To provide advice and guidance to other members of the team

• Hands on experience in designing and developing applications using Java EE platforms 
• Object Oriented analysis and design using common design patterns 
• Good knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hibernate) 
• Experience in the Spring Framework 
• Experience in developing web applications using at least one popular web framework (JSF, Wicket, GWT, Spring MVC) 
• Experience in RESTFul webservices
• Experience with test-driven development 
• Exposure to portal/mobility development - Desired
• Exposure to any of middleware solutions like MQ, Oracle fusion middleware(WebLogic), WebSphere, Open Source

You need to write scalable Python code for developing and implementing robust applications. You would indulge your dedication and passion to build server-side logic ensuring low-latency and high end performance. You should have sound knowledge of Python frameworks such as Django and Flask.

YOUR ‘OKR’ SUMMARY

OKR means Objective and Key Results.

As a Software Engineer at Coredge, you will help develop our next-generation cloud native core solution along with the product and the open-source community to build the Coredge.io vision.

What you will do?

• System engineering and implementation in Python and Golang.

• Working on performance issues using creative experiments and internally developed product features.

• Research, propose, and integrate relevant open-source projects based on product objectives.

• Write organized, efficient, and well documented Python/Golang code as an example for junior engineers.

• Participation in all levels of product definition, design, implementation, testing, and deployment.

• Must include the ability to discuss abstract system architectures from ideas through implementation and

           creatively apply domain experience to solve technical challenges.

• Mentoring software engineers, fostering an environment of trust and accountability.

What you will need?

A strong sense of ownership, urgency, and drive. As an integral part of the development team, you will need the

following skills to succeed.

• Strong Python skills to develop framework(s).

• Hands-on to design & develop re-usable framework components.

• Hands-On experience on developing framework, designing re-usable framework components.

• Experience in engineering practices such as code refactoring, design patterns, design driven development, Continuous Integration, building highly scalable applications, application security and functional programming.

Additional Skills:

• Knowledge of Cloud native would be an advantage.

• Understanding of Kubernetes from Architecture side and also understand the Standard API.

• Code contributed to CNCF or similar community will be plus.

• Performance benchmarking of K8’s or any cloud will be added advantage

• Bachelor's degree in computer sciences, software engineering, or equivalent.
• Experience with Go language programming and other backend technologies such as NodeJS/ExpressJS, preferably in Security/enterprise/SaaS products. 
• Exposure to one or more cloud platforms (AWS, GCP, Azure), containers and kubernetes.
• Hands-on experience with microservices architecture, Rest APIs, databases such as PostgreSQL/mongodb, distributed systems, data engineering technologies, etc.
• Strong analytical and problem-solving skills, and keen attention to detail.
• Knowledge of the modern SDLC practices, Agile methodologies, tools such as Jira, and software configuration tools such as GitHub.
• Capable of balancing multiple priorities and remaining flexible in a changing environment.