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About the Role

We're looking for a Senior AI/ML Engineer who thrives at the intersection of research and production — someone who doesn't just build models, but ships systems that scale. You'll own the full ML lifecycle: architecting robust data pipelines, training and rigorously evaluating models, and deploying them into high-throughput production environments. This is a role for engineers who want their work to move fast, break assumptions (not systems), and directly shape how AI gets built at scale. If you're energized by turning cutting-edge research into real-world impact, this is your next challenge.

Key Responsibilities

– Design, build, and maintain end-to-end ML pipelines — from raw data ingestion to model serving — with a focus on scalability and reliability.

– Develop, train, and rigorously evaluate ML/DL models using sound experimentation practices (A/B testing, offline/online metrics, statistical validation).

– Own the MLOps lifecycle: implement CI/CD pipelines for model training and deployment, version control for datasets and models, and automated retraining workflows.

– Deploy and monitor models in production using containerized, orchestrated infrastructure (Docker, Kubernetes), ensuring low-latency, high-availability inference.

– Collaborate cross-functionally with Data Engineering, Product, and Backend teams to translate business problems into scalable ML solutions.

– Optimize model performance for cost, latency, and accuracy trade-offs across cloud-based training and inference environments.

– Mentor and guide junior engineers and data scientists — conducting code reviews, sharing best practices, and raising the technical bar of the team.

– Stay current with emerging research (LLMs, generative AI, RAG architectures) and proactively identify opportunities to apply them to existing products.

Required Technical Skills

Languages

– Expert-level Python; working knowledge of R or C++ is a plus.

Frameworks

– TensorFlow, PyTorch, Scikit-Learn, Keras.

Data & Cloud

– Strong SQL and NoSQL fundamentals.

– Hands-on experience with at least one major cloud platform (AWS, GCP, or Azure), specifically their ML tooling — SageMaker, Vertex AI, or equivalent.

– Experience with distributed data processing frameworks: Spark, Hadoop.

MLOps & Deployment

– Proficiency with Docker and Kubernetes for containerized deployment.

– Experience building CI/CD pipelines for ML workflows.

– Familiarity with experiment tracking and pipeline orchestration tools like MLflow or Kubeflow.

Advanced / Nice-to-Have

– Practical experience with LLMs, prompt engineering, and Retrieval-Augmented Generation (RAG) architectures.

– Experience fine-tuning transformer-based models for domain-specific use cases.

Qualifications & Experience

– Bachelor's, Master's, or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field.

– 5+ years of hands-on experience building, training, and deploying production-grade AI/ML models at scale.

– Demonstrated track record of taking models from prototype to production in a real-world business setting.

What We Offer

– Competitive compensation, benchmarked to top-tier tech talent in the industry.

– Comprehensive health insurance coverage for you and your family.

– Annual learning & development stipend for courses, certifications, and conferences.

– A collaborative, high-ownership culture where engineering excellence is celebrated.

– The opportunity to work on cutting-edge AI systems with direct, visible impact.

About Tech Transient

Tech Transient is an AI consulting and digital transformation firm headquartered in Coimbatore, Tamil Nadu.

We partner with enterprises and growth-stage companies to design and deliver intelligent digital products — spanning mobile applications, cloud platforms, and AI-driven solutions. Our mission is to translate emerging technology into measurable business outcomes.

Customer Relationship Executive : 

We are looking for a results-driven fresher and (1+ years of experience) to be responsible for designing, running tests on software usability and should be able to visit the client base(delivery and support). The software tester will conduct tests, analyze the results, and report observations to the design team. You may also interact with clients in order to understand the requirements of the product.

To be successful as a software tester, you should have a working knowledge of software and test design, the capability to run through tests, and the ability to analyze the results. Ultimately, the software tester should be result-driven, have good communication skills, and have up-to-date knowledge of software programming and software test design.

Software Tester Responsibilities:

●Review software requirements and prepare test scenarios.

●Executing tests on software usability.

●Analyzing test results on database impacts, errors or bugs, and usability.

●Preparing reports on all aspects related to the software testing carried out and reporting to the design team.

●Interacting with clients to understand product requirements(including visiting the client's base whenever required).

●Participating in design reviews and providing input on requirements, product design, and potential problems.

Software Tester Requirements:

●A bachelor's degree in computer science or a related field(Preferably male candidate).

●Up-to-date knowledge of software test design and testing methodologies.

●Understanding of open source projects like ERP, CRM, HRMS, Industry 4.0, etc

●Working knowledge of test techniques and compatibility with various software programs.

●Working knowledge of programming.

●Excellent communication and critical thinking skills.

●Good organizational skills and a detail-oriented mindset.

Function: Software Engineering → Backend Development

• Python
• Flask

Requirements:

• Should be a go-getter, ready to shoulder more responsibilities, shows enthusiasm and interest in work.
• Excellent core Python skills including threading, dictionary, OOPS Concept, Data structure, Web service.
• Should have work experience on following stacks/libraries: Flask
• Familiarity with some ORM (Object Relational Mapper) libraries
• Able to integrate multiple data sources and databases into one system
• Understanding of the threading limitations of Python, and multi-process architecture Familiarity with event-driven programming in Python
• Basic understanding of front-end technologies, such as Angular, JavaScript, HTML5 and CSS3
• Writing reusable, testable, and efficient code
• Design and implementation of low-latency, high-availability, and performant applications
• Understanding of accessibility and security compliance
• Experience in both RDBMS(MySQL), NoSQL databases (MongoDB, HDFS, HIVE etc) or in-memory caching technologies such as ehcache etc is preferable.

Responsibilities:

• Be the analytical expert in Kaleidofin, managing ambiguous problems by using data to execute sophisticated quantitative modeling and deliver actionable insights.
• Develop comprehensive skills including project management, business judgment, analytical problem solving and technical depth.
• Become an expert on data and trends, both internal and external to Kaleidofin.
• Communicate key state of the business metrics and develop dashboards to enable teams to understand business metrics independently.
• Collaborate with stakeholders across teams to drive data analysis for key business questions, communicate insights and drive the planning process with company executives.
• Automate scheduling and distribution of reports and support auditing and value realization.
• Partner with enterprise architects to define and ensure proposed.
• Business Intelligence solutions adhere to an enterprise reference architecture.
• Design robust data-centric solutions and architecture that incorporates technology and strong BI solutions to scale up and eliminate repetitive tasks

Requirements:

• Experience leading development efforts through all phases of SDLC.
• 5+ years "hands-on" experience designing Analytics and Business Intelligence solutions.
• Experience with Quicksight, PowerBI, Tableau and Qlik is a plus.
• Hands on experience in SQL, data management, and scripting (preferably Python).
• Strong data visualisation design skills, data modeling and inference skills.
• Hands-on and experience in managing small teams.
• Financial services experience preferred, but not mandatory.
• Strong knowledge of architectural principles, tools, frameworks, and best practices.
• Excellent communication and presentation skills to communicate and collaborate with all levels of the organisation.
• Team handling preferred for 5+yrs experience candidates.
• Notice period less than 30 days.

We are looking for an Asp.Net developer to build software using languages and technologies of the .NET framework. You will create applications from scratch, configure existing systems and provide user support.

In this role, you should be able to write functional code using .NET linking SQL database elements to external application interface (desktop of mobile)

Your goal will be to work with internal teams to design, develop and maintain existing application and working on new applications from time to time.

Responsibilities

• Producing code using .NET languages (C#)
• Writing of Stored Procedures for SQL database for extracting data related to the application
• Participate in requirement analysis.
• Collaborate with internal teams to produce software design and architecture
• Write clean, scalable code using .NET programming languages and SQL SPs
• Test and deploy applications and systems
• Revise, update, refactor and debug code
• Improve existing software
• Serve as an expert on existing applications and provide technical support

Skill Requirements

• Proven experience of 2-4 years as a .NET Developer or https://resources.workable.com/application-developer-job-description">Application Developer
• Familiarity with the http://asp.net/">ASP.NETframework, SQL Server and design/architectural patterns 
• Good working knowledge of .NET languages (C#) and HTML5/CSS3
• Familiarity with architecture styles/APIs (REST, RPC)
• Excellent troubleshooting and communication skills
• Degree in Computer Science, Engineering or a related field

OptiSol Dotnet Team engineers award-winning cloud-native applications to our worldwide customers. We provide simple digital solutions to the complex business problems of our enterprise and startup customers. We look for agile developers with team spirit to continuously deliver value to our customers. 

We are a tribe of happy people excited about problem-solving. Our team is geographically distributed, we speak many languages and we come from a variety of cultural backgrounds. We are rapidly expanding, and we are looking for passionately curious people obsessed with customer happiness. 

Senior Android Development Engineer - Chennai

Who we are?

Kaleidofin is a financial platform for the informal sector, which provides solutions tailored to the customer’s goals and are intuitive to use. We are working towards creating fair and transparent financial solutions that can target millions of customers and enterprises in India that don’t have easy access to formal financial planning.

In a very short time span, global investors such as Omidyar Network, Blume Ventures and well known individual investors have supported Kaleidofin’s well thought out business model with $2.8 million in seed funding.

With its focus to harness mobile technology to deliver a paperless experience as well as its focus to harness technology and analytics to predict the right product for the right customer, Kaleidofin aims to become a leading FinTech player bringing financial solutions to everyone.

To know more about Kaleidofin, do visit our site https://kaleidofin.com/

What You’ll Do?

We are seeking extremely smart & independent senior developers who are gung ho about building large scale systems that are going to have a big impact on millions of customers. You will:

• Lead design and development of products working closely with business team
• Independently own software components and co-own entire applications with a small group of fellow developers
• Formally mentor junior software engineers on the team, reviewing design documents, (peer) reviewing code, providing design direction and guidance
• Build performant, scalable, yet secure, enterprise ready android applications with architecture that is fast yet lean on the backend servers enabling them to support millions of users in parallel
• Establish strong engineering best practices and champion their adoption

Who You Need To Be? 


• 4+ years’ experience in android software development and delivery
• Bachelors or Masters degree in engineering (preferably computer science or sister branches) from a reputed institute (preferably IITs, NITs, or other top engineering institutes).
• Strong grasp of CS fundamentals, algorithms and excellent problem-solving abilities. 

• All experience should be from good product development or e-commerce background.
• Able to take ownership of working with multiple teams – Product, Back end, QA, Business from start of development to go-live.
• Must have shown good stability in all your previous associations.
• Skill set
  • Strong knowledge of UI architectural patterns like MVVM(preferable), MVC, MVP, data binding, activity & fragment lifecycle, recycler view, navigation component, layouts (constraint layout preferable), theming etc.
  • Should have actively used retrofit, work managers, android jetpack, Rx java, dagger, retrofit, android sdk, GIT/bitbucket, gradle/ant and very keen on exploring other proven tech stack.
  • Comfortable with test driven development in android with UI testing, instrumented unit testing and unit testing using junits and mockito
  • Have working knowledge of writing backend REST API’s (preferably in Java, spring boot & hibernate) without having to completely depend on backend engineers for delivery
  • Has worked in a fast paced agile organization building stateless and re-entrant/resumable android applications.
  • Should have worked on building applications across wide range of android devices and android versions.
  • Experience of Kotlin (especially kotlin coroutines and koin) is a big plus.