Business Development Associate (B2B)

Job Title : Application Developer – SAP ABAP HANA

Location : Noida

Experience : 5+ Years

Job Description :

We are seeking an experienced SAP ABAP Developer with strong expertise in HANA and APO modules. The ideal candidate should have at least 5 years of relevant experience in ABAP development and should be comfortable working on-site from Day 1.

Mandatory Skills : SAP ABAP, HANA, and APO experience.

Key Requirements :

• 5+ years of experience in SAP ABAP development.
• Hands-on experience with SAP HANA and APO (Advanced Planning & Optimization).
• Strong understanding of ABAP coding standards and performance tuning.

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.

🚀 We’re Hiring: Sales Intern @ 🌐 Evermile

Want to kickstart your career in SaaS sales with a fast-growing startup?

Join Evermile and work directly with a high-energy revenue team helping local retailers transform their operations through tech.

📍 Location: Mohali, Sector 82

🕐 Shift: UK Shift (1:30 PM – 10:30 PM) 5 days a week/ fixed weekend off

💰 Stipend: ₹15,000/month

📅 Duration: 6 Months

🎯 PPO Opportunity: Up to ₹4.5 LPA + Incentives based on performance

What you’ll do:

• Connect with potential customers and generate leads

• Understand merchant pain points and pitch solutions

• Work closely with sales and customer success teams

• Learn how B2B SaaS sales actually works in a startup environment

What we’re looking for:

• Strong communication skills

• Confident and proactive attitude

• Someone hungry to learn, sell, and grow

• Comfortable in a fast-paced startup environment

Why Evermile?

✨ Real ownership from Day 1

✨ High-growth startup exposure

✨ Learning directly from experienced teams

✨ Strong career growth + PPO opportunities

Role: Data Engineer  
Company: PayU

Location: Bangalore/ Mumbai

Experience : 2-5 yrs

About Company:

PayU is the payments and fintech business of Prosus, a global consumer internet group and one of the largest technology investors in the world. Operating and investing globally in markets with long-term growth potential, Prosus builds leading consumer internet companies that empower people and enrich communities.

The leading online payment service provider in 36 countries, PayU is dedicated to creating a fast, simple and efficient payment process for merchants and buyers. Focused on empowering people through financial services and creating a world without financial borders where everyone can prosper, PayU is one of the biggest investors in the fintech space globally, with investments totalling $700 million- to date. PayU also specializes in credit products and services for emerging markets across the globe. We are dedicated to removing risks to merchants, allowing consumers to use credit in ways that suit them and enabling a greater number of global citizens to access credit services.

Our local operations in Asia, Central and Eastern Europe, Latin America, the Middle East, Africa and South East Asia enable us to combine the expertise of high growth companies with our own unique local knowledge and technology to ensure that our customers have access to the best financial services.

India is the biggest market for PayU globally and the company has already invested $400 million in this region in last 4 years. PayU in its next phase of growth is developing a full regional fintech ecosystem providing multiple digital financial services in one integrated experience. We are going to do this through 3 mechanisms: build, co-build/partner; select strategic investments. 

PayU supports over 350,000+ merchants and millions of consumers making payments online with over 250 payment methods and 1,800+ payment specialists. The markets in which PayU operates represent a potential consumer base of nearly 2.3 billion people and a huge growth potential for merchants. 

Job responsibilities:

• Design infrastructure for data, especially for but not limited to consumption in machine learning applications 
• Define database architecture needed to combine and link data, and ensure integrity across different sources 
• Ensure performance of data systems for machine learning to customer-facing web and mobile applications using cutting-edge open source frameworks, to highly available RESTful services, to back-end Java based systems 
• Work with large, fast, complex data sets to solve difficult, non-routine analysis problems, applying advanced data handling techniques if needed 
• Build data pipelines, includes implementing, testing, and maintaining infrastructural components related to the data engineering stack.
• Work closely with Data Engineers, ML Engineers and SREs to gather data engineering requirements to prototype, develop, validate and deploy data science and machine learning solutions

Requirements to be successful in this role: 

• Strong knowledge and experience in Python, Pandas, Data wrangling, ETL processes, statistics, data visualisation, Data Modelling and Informatica.
• Strong experience with scalable compute solutions such as in Kafka, Snowflake
• Strong experience with workflow management libraries and tools such as Airflow, AWS Step Functions etc. 
• Strong experience with data engineering practices (i.e. data ingestion pipelines and ETL) 
• A good understanding of machine learning methods, algorithms, pipelines, testing practices and frameworks 
• Preferred) MEng/MSc/PhD degree in computer science, engineering, mathematics, physics, or equivalent (preference: DS/ AI) 
• Experience with designing and implementing tools that support sharing of data, code, practices across organizations at scale 

For our Cloud and Digital team, we seek Hands-On Technical Lead who can work on designing & implementing high quality scalable cloud software while providing technical leadership/mentoring to a small team of talented developers in agile environment. Your ability to lead the architecture, design, and implementation of maintainable, high-quality, and high-performing web (Java microservices, React UI, AWS) and mobile applications (iOS, Android, React native) is essential for success in this role. 

What you will be doing:

1. Strong programming knowledge in a combination of Java/Spring boot and Ruby on Rails. Expert in working in AWS Cloud, Micro services, REST, MongoDb / RDBMS/Cassandra, React /Node/Java Script, web frameworks/web technologies, Docker, Kubernetes, Messaging Brokers (Kafka, Kinesis, RabbitMq), Redis
2. Shaping architecture for robust, reliable, and high-performance applications, considering functional and technical requirements.
3. Manage/Mentor team of talented developers. Collaborate with cross functional stakeholders.
4. Estimate/Plan/Manage project deliverables in Agile environment with incremental system delivery.
5. Knowledge of data analytics and machine learning is a plus.
6. Good knowledge in version control and branching concepts (git, mercurial)

Who you are and what you bring:

1. B.E/B.Tech in Computer Science / Electronics and Electrical. Strong academics and career track record.
2. 15+ years of solid software development experience in building secure, scalable, and resilient systems.
3. Proven experience as software technical lead/manager/architect with cloud and digital SW
4. Excellent knowledge of software implementation, design and architecture of Web and Mobile apps.
5. Proven experience in working with AWS (preferably) or GCP or Azure.
6. Strong understanding of monitoring and logging tools.
7. Strong understanding of software design principles (SOLID, design patterns etc.)
8. Strong understanding of SOA and enterprise integration patterns.
9. Strong understanding of Functional or OOP patterns.
10. Experience in Web and Mobile software development and coding in various languages (Ruby on Rails, Node.js, Java, React, iOS, Android, Python etc.). Familiarity with HTML/CSS, JavaScript and UI/UX design.

Technical Content Writer Job Profile

We are looking for a Technical Writer to join our team! As a Technical Writer, you will be responsible for producing high-quality and understandable documentation with the goal to improve the success of our products. 

Job Role

• Study product samples 
• Communicate with product designers and developers to understand product details
• Collaborate with technical staff 
• Analyze and manage existing and potential content
• Create and maintain the information architecture
• Make high-quality documentation that meets standards, is appropriate, and is easy to use
• Produce and distribute tutorials to help end-users use a variety of applications
• research and collect usability feedback from customers, designers, and manufacturer

Requirements and Qualifications

• 2+ years of experience as a Technical Writer or similar role
• 2+ years of experience in technical writing of software documentation
• Ability to translate highly technical information into easily understandable information for customers
• Creative skills and usage of photographs, drawings, diagrams, animation, and charts that increase users’ understanding
• Excellent written skills in English
• Knowledge of Microsoft Office
• A minimum of a Bachelor's degree
• Professional Writing or Creative Writing is a big plus
• A background in engineering or computer science is a big plus
• Critical thinker and problem-solving skills
• Team player
• Good time-management skills
• Great interpersonal and communication skills

• Work with stakeholders across the business to ensure that user stories are clearly defined, delivered, and approved for deployment
• Translate business requirements into detailed system requirements and technical design specifications
• Investigate, model, define and document required business processes
• Carry out requirements analysis for change requests including requirements gathering and participating in workshops to understand project objectives and scope
• To work with other business analysts and members of Group Infrastructure to develop realistic solutions to business requirements, taking into account budgets, timescales and costs
• Support the development of training and implementation material
• Assist in integration and acceptance testing
• Participate in sprint planning where applicable

Key Skills

• Experience using agile project management tools such as Pivotal Tracker
• Experience working within Scrum or other agile teams
• Experience in working with Marketing and Events tools such as Eventsforce
• Experience of working in a technology-focused company