Tech Lead

We are looking to expand our existing Python team across our offices in Surat. This position is for SDE-1 - Junior Software Engineer.

The requirements are as follows:

1) Familiar with the the Django REST API Framework.

2) Experience with the FAST API framework will be a plus

3) Strong grasp of basic python programming concepts ( We do ask a lot of questions on this on our interviews :) )

4) Experience with databases like MongoDB , Postgres , Elasticsearch , REDIS will be a plus

5) Experience with any ML library will be a plus.

6) Familiarity with using git , writing unit test cases for all code written and CI/CD concepts will be a plus as well.

7) Familiar with basic code patterns like MVC.

8) Grasp on basic data structures.

The requirements are as follows:

1) Familiar with the the Django REST API Framework.

2) Experience with the FAST API framework will be a plus

3) Strong grasp of basic python programming concepts ( We do ask a lot of questions on this on our interviews :) )

4) Experience with databases like MongoDB , Postgres , Elasticsearch , REDIS will be a plus

5) Experience with any ML library will be a plus.

6) Familiarity with using git , writing unit test cases for all code written and CI/CD concepts will be a plus as well.

7) Familiar with basic code patterns like MVC.

8) Grasp on basic data structures.

You can contact me on nine three one six one two zero one three two

Key Responsibilities

Backend Development

• Design, develop, and maintain scalable backend services using Rust, Python, and TypeScript.
• Build high-performance microservices and APIs for AI-driven products.
• Develop fault-tolerant, secure, and maintainable distributed systems.
• Design event-driven architectures and asynchronous processing pipelines.
• Implement caching, message queues, and database optimization strategies.

AI & Machine Learning Integration

• Build and maintain backend infrastructure supporting LLMs, Generative AI, RAG systems, and AI Agents.
• Integrate models from providers such as OpenAI, Anthropic, Gemini, and open-source LLMs.
• Develop vector search solutions using Pinecone, Weaviate, Qdrant, or similar technologies.
• Build AI workflows for content generation, summarization, sentiment analysis, and conversational intelligence.
• Optimize AI inference pipelines for performance and cost efficiency.

System Architecture

• Design scalable architectures capable of handling high traffic and large volumes of data.
• Develop real-time processing systems and data pipelines.
• Implement observability, monitoring, logging, and alerting mechanisms.
• Drive performance tuning and latency optimization across services.

Cloud & DevOps

• Deploy and manage applications on AWS, GCP, or Azure.
• Work with Docker, Kubernetes, CI/CD pipelines, and Infrastructure as Code.
• Ensure system reliability, security, and scalability. 

Job Description – Machine Learning Expert

Role: Machine Learning Expert

Experience: 6+ Years

Location: Bangalore

Education: B.Tech Degree (Computer Science / Information Technology / Data Science / related fields)

Work Mode: Hybrid – 3 Days Office + 3 Days Work from Home

Interview Mode: Candidate must be willing to attend Face-to-Face (F2F) L2 round at Bangalore location

About the Role

We are seeking a highly skilled Machine Learning Expert with a strong background in building, training, and deploying AI/ML models. The ideal candidate will bring hands-on expertise in designing intelligent systems that leverage advanced algorithms, deep learning, and data-driven insights to solve complex business challenges.

Key Responsibilities

• Develop and implement machine learning and deep learning models for real-world business use cases.
• Perform data cleaning, preprocessing, feature engineering, and model optimization.
• Research, design, and apply state-of-the-art ML techniques across domains such as NLP, Computer Vision, or Predictive Analytics.
• Collaborate with data engineers and software developers to ensure seamless end-to-end ML solution deployment.
• Deploy ML models to production environments and monitor performance for scalability and accuracy.
• Stay updated with the latest advancements in Artificial Intelligence and Machine Learning frameworks.
• 
  

Required Skills & Qualifications

• B.Tech degree in Computer Science, Information Technology, Data Science, or related discipline.
• 6+ years of hands-on experience in Machine Learning, Artificial Intelligence, and Deep Learning.
• Strong expertise in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras.
• Solid foundation in mathematics, statistics, algorithms, and probability.
• Experience in working with NLP, Computer Vision, Recommendation Systems, or Predictive Modeling.
• Knowledge of cloud platforms (AWS / GCP / Azure) for model deployment.
• Familiarity with MLOps tools and practices for lifecycle management.
• Excellent problem-solving skills and the ability to work in a collaborative environment.
• 
  

Preferred Skills (Good to Have)

• Experience with Big Data frameworks (Hadoop, Spark).
• Exposure to Generative AI, LLMs (Large Language Models), and advanced AI research.
• Contributions to open-source projects, publications, or patents in AI/ML.
• 
  

Work Mode & Interview Process

• Hybrid Model: 3 days in office (Bangalore) + 3 days remote.
• Interview: Candidate must be available for Face-to-Face L2 interview at Bangalore location.

Must have:

• 8+ years of experience with a significant focus on developing, deploying & supporting AI solutions in production environments.
• Proven experience in building enterprise software products for B2B businesses, particularly in the supply chain domain.
• Good understanding of Generics, OOPs concepts & Design Patterns
• Solid engineering and coding skills. Ability to write high-performance production quality code in Python
• Proficiency with ML libraries and frameworks (e.g., Pandas, TensorFlow, PyTorch, scikit-learn).
• Strong expertise in time series forecasting using stat, ML, DL and foundation models
• Experience of working on processing time series data employing techniques such as decomposition, clustering, outlier detection & treatment
• Exposure to generative AI models and agent architectures on platforms such as AWS Bedrock, Crew AI, Mosaic/Databricks, Azure
• Experience of working with modern data architectures, including data lakes and data warehouses, having leveraged one or more of the frameworks such as Airbyte, Airflow, Dagster, AWS Glue, Snowflake,, DBT
• Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying ML models in cloud environments.
• Excellent problem-solving skills and the ability to work independently as well as in a collaborative team environment.
• Effective communication skills, with the ability to convey complex technical concepts to non-technical stakeholders

Good To Have:

• Experience with MLOps tools and practices for continuous integration and deployment of ML models.
• Has familiarity with deploying applications on Kubernetes
• Knowledge of supply chain management principles and challenges.
• A Master's or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field is preferred

Cogoport Story

Do you prefer to get speeding tickets or parking tickets?

Because at Cogoport we are speeding ahead to do something remarkable for the world. We are trying to solve the Trade Knowledge and Execution Gap, which is currently widening and preventing trade to the tune of $3.4 trillion annually. This Gap has enormous economic as well as human impact and disproportionately hits small and medium businesses globally.

The team at Cogoport is working on developing a new category, the Global Trade Platform, that helps companies discover and connect with appropriate trade partners, optimize shipping and logistics options and costs, and improve cash management and cash flow.

Cogoport is currently in hypergrowth mode. We are proud to have been named an Asia-Pacific High-Growth Company by the Financial Times and an Indian Growth Champion by the Economic Times. We are aiming to reach an annualized revenue of $1 billion (7700 Crores INR)  by this summer and are hiring over 500 additional employees. We are currently hiring in Mumbai, Gurgaon, Chennai and Bangalore.

Cogoport Culture: We have two core values at Cogoport—Intrapreneurship and Customer-centricity. If you share these values and are a hard worker who is willing to take risks (and occasionally get a speeding ticket), you can make a huge impact and propel your career in an endless number of directions with Cogoport.

Cogoport Leadership

https://www.linkedin.com/in/purnendushekhar/">https://www.linkedin.com/in/purnendushekhar/
https://www.linkedin.com/in/amitabhshankar/">https://www.linkedin.com/in/amitabhshankar/

Life at Cogoport: It’s rare to be able to join a company that can give you the resources, support and technology you need to break new ground and see your ideas come to life. You’ll be surrounded by some of the smartest engineers and commercial specialists in India and the Asia Pacific Region.

With huge growth and the right entrepreneurial mindset, comes huge opportunities! So, wherever you join us, you’ll be able to dream, deliver better and brighter solutions, and speed ahead with the possibility to propel your career forward in endless directions as our company continues to grow and expand.

For more insights about the company:  https://cogoport.com/about">https://cogoport.com/about

Why Cogoport?

International Trade can be complicated at times and every day brings new challenges and opportunities to learn.  When we simplify international trade, it empowers and affects every human being on the face of this earth. Seven billion people - one common problem.

As a part of the Talent team at Cogoport, you will get an opportunity to be a part of an industry-wide revolution in the world of shipping and logistics by collaborating with other brilliant minds to resolve real world on-ground challenges. You will have a direct impact on the revenue and profitability growth for the organization.

Areas of Impact for you

• Hands-on management with deep-dive into the details of software design, implementation and debugging.
• Guide your teams in developing roadmaps and systems to drive product growth, then identify, plan, and execute projects to support that growth.
• Manage multiple projects across a wide breadth of technologies, coordinate dependencies, and interactions with the internal teams and external partners.
• Collaborate with stakeholders from across functions to keep the development team in sync with all functions and overall business objectives.
• Develop large multi-tenant applications in Rails.
• Understand Rails best practices and religiously introduce those to the codebase.
• Set up, create and manage strong best practices/architecture to ensure reliable, secure, bug-free, and performant software is released on-time.

Desirable Skills and Experience

• Loves coding.
• 2-4 years of experience building scalable & complex products from scratch.
• Demonstrated ability to build complex scalable technology products.
• Should have prior experience of working with ROR, React, PostgreSQL and cloud infra.
• Understanding scaling strategies for high-traffic Rails applications.
• Understanding O-Auth2 or JWT (Json Web Token) authentication mechanisms.
• Experience in using ActiveRecordSerialize, RSpec and active interaction.
• Knowledge about Asynchronous Networking in Ruby; Refactoring ActiveRecord Models; Background Job processing using Redis and Sidekiq; Writing automated Deployment Scripts using Capistrano, Ansible etc.
• Expertise in Data Science and Machine Learning is a pl
• Expertise in Jenkins, Kubernetes, dockers and cloud technology is a plus.

Cogoport is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure all people feel supported and respected at work.  

Should be highly Technical and hands-on experience in Artificial Intelligence and Machine learning and Python. Managing the successful delivery of projects by efficient planning and coordination.

KEY RESPONSIBILITIES OF THE POSITION :

• Create Technical Design for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implement the same in production.
• Solid understanding and experience of deep learning architectures and algorithms
• Working experience with AWS, most importantly AWS SageMaker, Aurora or MongoDB, Analytics and reporting.
• Experience solving problems in the industry using deep learning methods such as recurrent neural networks (RNN, LSTM), convolutional neural nets, auto-encoders, etc.
• Should have experience of 2-3 production implementations of machine learning projects.
• Knowledge of open-source libraries such as Keras, Tensor Flow, Pytorch
• Work with business analysts/consultants and other necessary teams to create a strong solution
• Should have in-depth understanding and experience of Data Science and Machine Learning projects using Python, R, etc. Skills in Java/C are a plus
• Should developing solutions using python in AI/ML projects
• Should be able to train and build a team of technical developers
• Desired to have experience as leads in designing and developing applications/tools using Microsoft technologies - ASP.Net, C#, HTML5, MVC
• Desired to have knowledge on any of the cloud solutions such as Azure or AWS
• Desired to have knowledge on any of container technology such as Docker
• Should be able to build strong relationships with project stakeholders

Keywords:

• Python
• Artificial Intelligence
• Machine Learning
• AWS
• Django
• NLP

As a Software Engineer at Quince, you'll be responsible for designing and building scalable infrastructure and build applications to solve some very interesting problems in the logistics and finance tech space.

Responsibilities:

• Design and architect solutions on the cloud for various business problems with workflow efficiency and scale in mind.
• Be on the forefront with the business team to learn, understand, identify and translate function requirements into technical opportunities.
• End-to-end ownership - from scoping the requirements to the final delivery of the solution with keen eye to details and quality.
• Build and improve logistics components for this innovative M2C supply-chain model.
• Build and maintain scalable ETL data pipelines.

Requirements:

• Bachelors/Masters/PhD in Computer Science or closely related subject.
• 1-5 years of experience in building software solutions.
• Good at data structures and their practical applications.
• Proficiency in Kotlin, Java, Python.
• Experience in deploying and maintaining applications on cloud platforms (Ex: AWS, Google cloud).
• Proficiency with SQL and databases - relational and/or nosql (Snowflakes, AWS RedShift, etc).
• Experience with messaging middleware such as Kafka is good to have.

Job description:

Amazon’s Worldwide Consumer Engagement organization brings customers to visit amazon websites, engage them on site and help them purchase from Amazon’s retail sites. This is achieved through highly personalized messages delivered via all available large scale communication channels—both free and paid and offering engaging experience on website. The organization builds, operates, and improves the technology systems that power all marketing channels, and manages prioritization and marketing spend decisions. Consumer Marketing consists of a series of single-threaded technology and business teams, each of which owns the entirety of a channel of communication or customer segment: natural and paid search (i.e. SEO and SEM), affiliate marketing (Associates), display advertising, email, browser integration, and mobile marketing, retail customer experience technology teams.

This position is for a technology leader in Affiliate Marketing Technology group for attribution team. This team owns business critical systems that are responsible for attributing traffic to marketing channels and thrives on innovation to provide rich analytics to its internal and external customers. As a leader on the team, you will be responsible for tier1 critical systems, guide your team through the design, development, testing, and deployment of a range of products involving big data processing and dealing with near real time SLAs. You will have to deal with challenges of high availability (five 9s) guarantee, low latency and high throughput. In addition, you will build and manage roadmaps for software teams, developing cutting edge experiences. You will have sound technical acumen, excellent project management skills, great communication skills, and hire, build, and develop your team. You are a true owner - you are deeply interested in product design, architecture, and you innovate relentlessly on behalf of our customers.

This position offers the opportunity to collaborate with our business teams across the world and other tech teams in Bangalore as we raise the bar in delivering innovation.

Primary responsibilities: 

• Provide technical expertise and leadership throughout product life cycles, influence software engineers best practices for your team and own operational metrics 
• Work with business leaders and product managers to define product requirements. 
• Prioritize, communicate, maintain, and execute roadmaps, project plans, and commitments 
• Work with engineers to define technical requirements and architect and execute best-in-class implementations in agile manner 
• Build and maintain world-class customer experience and operational excellence for your deliverables 
• Hire, manage, mentor and grow a high performance team of Software Engineers

Basic Qualifications:

• Bachelors/Masters degree in Computer Science or related field
• 10+ years professional experience in software development management
• Proficiency in, at least, one modern programming language such as Java, Scala, C#, C++ etc 
• Ability to solve complex technical problems and design robust, scalable solutions
• Ability to think critically and actively contribute to strategic choices.
• 3+ years experience in managing development teams working on multiple simultaneous projects.
• 3+ years experience in managing large scale software development teams following Agile development processes. 
• Strong skills in project planning & execution, problem solving. Ability to take a project from initial scoping requirements through actual launch and support of the project
• Proven leadership and teamwork skills
• Excellent verbal and written communication skills in both technical and non-technical discussions.

Preferred Qualifications: 

• Deep, hands-on technical expertise in high scale, service-oriented architectures
• Exposure to Elastic Map Reduce and Machine Learning programs. 
• Ability to handle multiple competing priorities in a fast-paced environment
• Knowledge of professional software engineering practices & best practices for the full software development life cycle including coding standards, code reviews, source control management, build processes, testing, and operations
• Clear, professional communication skills able to contribute to team discussions, knowing when to contribute, when to listen, and when to ask questions
• Proactively and continually improve their level of knowledge about Amazon’s business and relevant technologies, and use this knowledge to deliver high quality, accurate software deliverables
• Strong business and technical vision
• Good understanding of web services