B2B Field sales Executive -Male

Responsibilities: 

• Develop and maintain high-quality, efficient, and scalable backend applications. 
• Participate in all phases of the software development lifecycle (SDLC) 
• Write clean, well-documented, and testable code adhering to best practices. 
• Collaborate with team members to ensure the successful delivery of projects. 
• Debug and troubleshoot complex technical problems. 
• Identify and implement performance optimizations. 
• Participate in code reviews 
• Hands-on experience with Springboot, Java 8 and above. 
• 2-5 years of experience developing Java applications. 
• Knowledge about at least one messaging system like Kafka, RabbitMQ etc. 
• Required React developer requirements, qualifications & skills: 
• Proficiency in React.js and its core principles 
• Strong JavaScript, HTML5, and CSS3 skills 
• Experience with popular React.js workflows (such as Redux) 
• Strong understanding of object-oriented programming (OOP) principles. 
• Experience with design patterns and best practices for Java development. 
• Proficient in unit testing frameworks (e.g., JUnit). 
• Experience with build automation tools (e.g., Maven, Gradle). 
• Experience with version control systems (e.g., Git). 
• Experience with one of these databases – Postgres, MongoDb, Cassandra 
• Knowledge on Retail or OMS is a plus. 
• Experienced in containerized deployments using Docker, Kubernetes and DevOps mindset 
• Ability to reverse engineer existing/legacy and document findings on confluence. 
• Create automated tests for unit, integration, regression, performance, and functional testing, to meet established expectations and acceptance criteria. 
• Document APIs using Lowe’s established tooling. 

Job Role 

·  Position Title: Expert Java Engineer

·  Experience Range: 9 to 12 yrs 

·  Location: Pune 

Notice Period : Immediate Joiner

Must have Requirements

● 9+ years’ of experience working as a software developer.

● Strong proficiency in Java and Spring Boot.

● Strong experience in building applications that interact with relational databases using SQL.

● Some experience of Enterprise Java (J2EE / JavaEE / Spring) application architectures.

● History of delivering high-cadence modern applications with applied Agile methodologies, test-first development approaches, adopting CI/CD pipelines and using Git version control.

About Autonomize AI

Autonomize AI is on a mission to help organizations make sense of the world's data. We help organizations harness the full potential of data to unlock business outcomes. Unstructured dark data contains nuggets of information that when paired with human context will unlock some of the most impactful insights for most organizations, and it’s our goal to make that process effortless and accessible.

We are an ambitious team committed to human-machine collaboration. Our founders are serial entrepreneurs passionate about data and AI and have started and scaled several companies to successful exits. We are a global, remote company with expertise in building amazing data products, captivating human experiences, disrupting industries, being ridiculously funny, and of course scaling AI

The Opportunity

As a Senior Machine Learning Engineer at Autonomize, you will lead the development and deployment of machine learning solutions with an emphasis on large language models (LLMs), vision models, and classic NLP (Natural Language Processing) models. The ideal candidate will have a proven track record in these areas, particularly within healthcare contexts, and will play a significant role in advancing our AI-driven healthcare optimized AI Copilots and Agents..

What You’ll Do

1. Help fine-tune or prompt engineer large language models (LLMs) for various healthcare applications across various customer engagements.
2. Develop and refine our approach to handling vision based data using state-of-the-art VLM based models capable of processing and analyzing medical documents, healthcare forms in various formats and other visual data accurately.
3. Create and enhance classic NLP models to understand and generate human language in healthcare settings, supporting clinical documentation, and patient interaction.
4. Collaborate with multi-disciplinary teams including data scientists,ml engineers, healthcare clients, and product managers to deliver robust solutions.
5. Ensure models are efficiently deployed and integrated into healthcare systems, maintaining high performance and scalability.
6. Mentor and provide guidance to junior engineers and data scientists, fostering a culture of continuous learning and innovation.
7. Conduct rigorous testing, validation, and tuning of models to ensure accuracy, reliability, and compliance with healthcare standards.
8. Deep understanding of various training techniques including distributed training on GPUs and TPUs.
9. Stay informed on the latest research, tools, and technologies in machine learning, particularly those applicable to language and vision processing in healthcare.
10. Document methodologies, model architectures, and project outcomes effectively for both technical and non-technical audiences.

You’re a Fit If You Have

1. Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
2. 5-7 years of experience in machine learning engineering, with a significant track record in the developing production grade models and model pipelines in a regulated industry such as healthcare.
3. Hands-on expertise in working with large language models (e.g., GPT, BERT), computer vision models, and classic NLP technologies.
4. Proficient in programming languages such as Python, with extensive experience in ML libraries/frameworks like TensorFlow, PyTorch, OpenCV, etc.
5. Strong understanding of deep learning techniques, model fine-tuning, hyper parameter optimization, and model optimization 
6. Proven experience in deploying and managing ML models in production environments.
7. Excellent analytical skills, with a problem-solving mindset and the ability to think strategically.
8. Strong communication skills for articulating complex concepts to diverse audiences.
9. Working knowledge or experience in MLOps and LLMOps using tools like mlflow, kubeflow
10. Working knowledge of basic software engineering principles and best practices
11. Demonstrated working knowledge and experience on classic ML techniques and frameworks.
12. Nice to have : Knowledge of Cloud vendor based ML Platforms such as Azure ML, Sagemaker

Bonus Points:

1. Owner mentality - For you, the buck stops at you, You own it, you will learn it, and you will get it done
2. You are naturally curious. Always experimenting than hypothesising - You like to push boundaries, you figure things out and experiment your way through any problem
3. You are passionate, unafraid & loyal to the team & mission
4. You love to learn & win together
5. You communicate well through voice, writing, chat or video, and work well with a remote/global team
6. Large/Complex organization experience in deploying NLP/ML in production 
7. Experience in efficiently scaling ML model training and inferencing 
8. Experience with Big Data technologies using Kafka, Spark, Hadoop, Snowflake

What we offer:

• Influence & Impact: Lead and shape the future of healthcare AI implementations
• Outsized Opportunity: Join at the ground floor of a rapidly scaling, VC-backed startup
• Ownership, Autonomy & Mastery: Full-stack ownership of customer programs, with freedom to innovate
• Learning & Growth: Constant exposure to founders, customers, and new technologies—plus a professional development budget

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or other legally protected statuses.

Job Title: Java Lead – Software Engineering

Location: Mohali | Panchkula | Gurugram (Onsite)

Experience: 7+ Years

About the Role:

We are seeking a highly skilled and passionate Java Lead who will be responsible for designing, developing, and leading the implementation of scalable and maintainable product features. As a Lead, you will play a key role in guiding a team, ensuring coding best practices, and resolving complex technical challenges. This is a great opportunity for someone who thrives in a fast-paced environment, is passionate about solving technical problems, and is excited about leading product development end-to-end.

Key Responsibilities:

· Lead a team of developers in designing and building micro-services using Java.

· Decompose feature requests into sizable and estimable pieces of work.

· Deliver scalable, maintainable, and high-quality code within defined timelines.

· Conduct code reviews to ensure adherence to coding standards and best practices.

· Collaborate with cross-functional teams to solve complex technical challenges.

· Act as a subject matter expert for specific product components.

· Debug and resolve critical production issues with detailed root cause analysis.

· Drive adoption of Agile practices, ensuring proper planning, estimation, and delivery.

Required Qualifications:

· Bachelor’s degree in Computer Science or a related field.

· 7+ years of strong experience in Java development.

· 3+ years of hands-on experience in developing and delivering productized software applications.

· Experience in leading teams and mentoring developers.

· Proven ability to design and deliver scalable and maintainable applications.

· Strong problem-solving and analytical skills with a self-driven mindset.

· Excellent written and verbal communication skills.

Preferred Skills:

· Hands-on experience with Java micro-services.

· Familiarity with CI/CD pipelines.

· Strong understanding of Agile methodologies.

· Cloud and containerization exposure with AWS and Docker.

Technology Stack:

· Java

· Micro-services

· SQL

· AWS

· Docker

PREFERRED QUALIFICATION AND SKILLS:

In depth knowledge of VUE.JS

• In depth knowledge of HTML5 • In depth knowledge of CSS3 (Less, Sass, Stylus is a plus), knowledge of BEM methodology is preferred

• Detailed knowledge of JavaScript (ES2015 is a plus)

• Experience in any JS framework(Angular, React + Redux, Vue, etc.,) is must

• Understanding of Web Accessibility WCAG guidelines.

• Must be able to mentor and guide junior technical resources.

• One who is proactive and come forward with technology related initiatives. Motivated selfstarter.

 • Good Communication skills. English - Oral and Written.

We are looking to hire an experienced AngularJs developer to join our dynamic team. You will be responsible for creating a top-level coding base using Angular best practices. Your role will require you to implement an exciting and streamlined user experience in the form of a Java-based desktop and mobile web app. 

To ensure success as an angularJS developer, you should have extensive knowledge of theoretical software engineering, be proficient in JavaScript, HTML, and CSS, and have excellent project management skills. Ultimately, a top-class AngularJs developer can design and build a streamlined application to company specifications that perfectly meet the needs of the user.

AngularJS Developer Responsibilities

• Designing and developing user interfaces using angularJS best practices.
• Adapting interface for modern internet applications using the latest front-end technologies.
• Writing JavaScript, CSS, and HTML.
• Developing product analysis tasks.
• Making complex technical and design decisions for AngularJS projects.
• Developing application codes and unit tests in AngularJS
• Conducting performance tests.
• Consulting with the design team.
• Ensuring high performance of applications and providing support.

• Experience with Angular 1.x.
• Bachelor’s degree in computer science, computer engineering, or similar.
• Previous work experience as an angularJS developer.
• Proficient in CSS, HTML, and writing cross-browser compatible code.
• Knowledge of JavaScript MV-VM/MVC frameworks including AngularJS.
• Proven experience implementing front-end and back-end JavaScript applications.
• Critical thinker and good problem-solver.
• Understanding of RESTful APIs/GraphQL, HTML/CSS, ES6 (variables and scoping, array methods), code versioning tools like GIT, SVN, etc., popular frontend development tools, 
• Excellent troubleshooting skills.
• Excellent communication skills.
• Good project management skills.

 Good to have 

• Experience with React native and node.js is a plus.
• Experience CI/CD tools and pipeline
• DevOps, Performance testing frameworks like Mocha, Node + NPM.
• Experience on cloud platforms like AWS, GCP, Azure

MLOps Engineer

Required Candidate profile :

• 3+ years’ experience in developing continuous integration and deployment (CI/CD) pipelines (e.g. Jenkins, Github Actions) and bringing ML models to CI/CD pipelines
• Candidate with strong Azure expertise
• Exposure of Productionize the models
• Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
• Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
• Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops
• Proficient knowledge of git, Docker and containers, Kubernetes
• Familiarity with Terraform
• E2E production experience with Azure ML, Azure ML Pipelines
• Experience in Azure ML extension for Azure Devops
• Worked on Model Drift (Concept Drift, Data Drift preferable on Azure ML.)
• Candidate will be part of a cross-functional team that builds and delivers production-ready data science projects. You will work with team members and stakeholders to creatively identify, design, and implement solutions that reduce operational burden, increase reliability and resiliency, ensure disaster recovery and business continuity, enable CI/CD, optimize ML and AI services, and maintain it all in infrastructure as code everything-in-version-control manner.
• Candidate with strong Azure expertise
• Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
• Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
• Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops

1. Strong fundamentals OOPS concepts, Exception Handling, Coding Standards, Logging

2. Creating custom, general use modules and components which extend the elements and modules of core Angular. 

3. Creating configuration, build, and test scripts for Continuous Integration environments

4. Communicating with external web services and processing data

5. Experience with offline storage threading and performance tuning

6. Review code and maintain the code quality and suggest best practices

7. Knowledge and experience on data science and programming languages

8. Demonstrable abilities to optimize code. Strong analytical skills for effective problem solving