Business Development Associate

Key Responsibilities

• Provide L2/L3 support for SAP FICO modules, resolving incidents, break-fix issues, and change requests within SLAs using tools like ServiceNow.
• Handle production configurations, month/year-end closings, and assist in functional enhancements including RICEF objects via full SDLC.
• Perform GAP analysis, BRD mapping, and guide technical teams on RICEF specifications for custom developments.
• Support testing (unit, integration, UAT), code reviews, and initial problem fixes for enhancements and new functionality.
• Collaborate with functional experts on incident resolution and solution design to meet quality standards.

Mandatory Skills

• 6-8 years SAP FICO support experience, including data modeling, extractions, staging, loading, transformations, and reporting.
• Core FI/CO configuration: GL, AP/AR, AA, Bank Accounting; CO sub-modules like Cost Element (creation/planning), Cost Center (planning/assessment/distribution/reporting), Internal Orders (types/planning/settlement), Product Costing (settings/standard/settlements/ML), COPA (structure/segments/flow/assessment/reports).
• Expertise in cross-module integrations: FI-MM/WM/SD/PP/PS.
• RICEF development, enhancements/user-exits, and strong knowledge of month/year-end activities.

Preferred Qualifications

• S/4HANA experience with Universal Journal, Fiori apps, and ITSM tools.
• Excellent communication for multinational teams, BRD analysis, and explaining technical concepts to non-technical users.
• Bachelor's in relevant field; ability to work independently in fast-paced settings.

Job Title: Sr. Frontend Developer (Javascript)

Location: Remote Only

Experience Required: 4–6 years

Salary Range: 7L – 10L per year

About the Role:

We are looking for an experienced Sr. Frontend Developer with strong expertise in Javascript to join our remote team. The ideal candidate will have 4–6 years of hands-on experience in frontend development, with a focus on building responsive, high-performance web applications. You will work closely with cross-functional teams to design, develop, and implement user-facing features that align with business goals and enhance user experience.

Key Responsibilities:

• Develop and maintain scalable, reusable frontend components and applications using modern Javascript frameworks and libraries.
• Collaborate with UI/UX designers, product managers, and backend developers to deliver seamless user experiences.
• Optimize applications for maximum speed, scalability, and accessibility.
• Write clean, modular, and well-documented code following best practices.
• Participate in code reviews, sprint planning, and agile development processes.
• Troubleshoot, debug, and resolve frontend-related issues.
• Stay updated with emerging frontend technologies and industry trends.

Must-Have Skills:

• Javascript (ES6+)
• React.js
• React Native
• NodeJS (Node.js)
• SQL

Nice-to-Have Skills:

• Experience with state management libraries (Redux, Context API, etc.)
• Familiarity with testing frameworks (Jest, Cypress, React Testing Library)
• Knowledge of frontend build tools (Webpack, Babel, NPM/Yarn)
• Understanding of RESTful APIs and GraphQL
• Experience with version control systems (Git)
• Familiarity with CI/CD pipelines and deployment processes

Qualifications:

• 4–6 years of professional frontend development experience.
• Proven track record of delivering high-quality, production-ready applications.
• Strong understanding of responsive design, cross-browser compatibility, and web performance optimization.
• Excellent problem-solving skills and attention to detail.
• Ability to work independently in a remote environment and communicate effectively with distributed teams.

What We Offer:

• Competitive salary within the range of 7L – 10L per year.
• Fully remote work flexibility.
• Opportunity to work on innovative projects with a talented and supportive team.
• Professional growth and skill development opportunities.

Click the link below to apply :

https://surl.li/uowuxk

Senior Full Stack Developer:

We are looking for a candidate who has worked with product-based companies.

Total Work Experience: 4–6 Years

Expectations from the Candidate:

• Excellent knowledge of front-end frameworks like ReactJS
• Experience with popular React.js workflows
• Strong hands-on experience in NodeJS development
• Experience working with PostgreSQL
• Understanding of server-client architectures, consuming JSON data from APIs
• Curiosity and a highly collaborative work style — eager to share knowledge and explore new technologies
• Collaborate with cross-functional teams to define, design, and ship new features
• Lead or participate in design reviews, code reviews, and architecture discussions
• Write unit tests to ensure code robustness and reliability
• Work on bug fixing and improving application performance
• Continuously discover, evaluate, and implement new technologies to maximise development efficiency

Desired Skills:

1. Worked on Integrations with Third-Party Systems
2. Worked on AI/ML-based Applications/Products
3. End-to-End Ownership of Production-Grade Products
4. Experience working on Live/Production Deployments for multiple years.

Educational Qualification:

• Bachelor’s Degree in Computer Science, Information Technology, Software Engineering, or a related technical discipline.
• A Master’s Degree (M.Tech/MCA) in a relevant field will be an added advantage.
• Strong academic foundation in Data Structures, Algorithms, Database Management Systems (DBMS), and Software Development Life Cycle (SDLC).

Job Description: 

Machine Learning / AI Engineer (with 3+ years of experience)

We are seeking a highly skilled and passionate Machine Learning / AI Engineer to join our newly established data science practice area. In this role, you will primarily focus on working with Large Language Models (LLMs) and contribute to building generative AI applications. This position offers an exciting opportunity to shape the future of AI technology while charting an interesting career path within our organization.

Responsibilities:

1. Develop and implement machine learning models: Utilize your expertise in machine learning and artificial intelligence to design, develop, and deploy cutting-edge models, with a particular emphasis on Large Language Models (LLMs). Apply your knowledge to solve complex problems and optimize performance.

2. Building generative AI applications: Collaborate with cross-functional teams to conceptualize, design, and build innovative generative AI applications. Work on projects that push the boundaries of AI technology and deliver impactful solutions to real-world problems.

3. Data preprocessing and analysis: Collect, clean, and preprocess large volumes of data for training and evaluation purposes. Conduct exploratory data analysis to gain insights and identify patterns that can enhance the performance of AI models.

4. Model training and evaluation: Develop robust training pipelines for machine learning models, incorporating best practices in model selection, feature engineering, and hyperparameter tuning. Evaluate model performance using appropriate metrics and iterate on the models to improve accuracy and efficiency.

5. Research and stay up to date: Keep abreast of the latest advancements in machine learning, natural language processing, and generative AI. Stay informed about industry trends, emerging techniques, and open-source libraries, and apply relevant findings to enhance the team's capabilities.

6. Collaborate and communicate effectively: Work closely with a multidisciplinary team of data scientists, software engineers, and domain experts to drive AI initiatives. Clearly communicate complex technical concepts and findings to both technical and non-technical stakeholders.

7. Experimentation and prototyping: Explore novel ideas, experiment with new algorithms, and prototype innovative solutions. Foster a culture of innovation and contribute to the continuous improvement of AI methodologies and practices within the organization.

Requirements:

1. Education: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Relevant certifications in machine learning, deep learning, or AI are a plus.

2. Experience: A minimum of 3+ years of professional experience as a Machine Learning / AI Engineer, with a proven track record of developing and deploying machine learning models in real-world applications.

3. Strong programming skills: Proficiency in Python and experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, pandas). Experience with cloud platforms (e.g., AWS, Azure, GCP) for model deployment is preferred.

4. Deep-learning expertise: Strong understanding of deep learning architectures (e.g., convolutional neural networks, recurrent neural networks, transformers) and familiarity with Large Language Models (LLMs) such as GPT-3, GPT-4, or equivalent.

5. Natural Language Processing (NLP) knowledge: Familiarity with NLP techniques, including tokenization, word embeddings, named entity recognition, sentiment analysis, text classification, and language generation.

6. Data manipulation and preprocessing skills: Proficiency in data manipulation using SQL and experience with data preprocessing techniques (e.g., cleaning, normalization, feature engineering). Familiarity with big data tools (e.g., Spark) is a plus.

7. Problem-solving and analytical thinking: Strong analytical and problem-solving abilities, with a keen eye for detail. Demonstrated experience in translating complex business requirements into practical machine learning solutions.

8. Communication and collaboration: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to diverse stakeholders

What you'll do?

●    Develop on server-side cloud software using a serverless approach (AWS).

●    Work hands-on on bringing to life IoT and Edge architectures and applications

●    Work with teams on delivering key features and performance targets.

Who You Are?

●    Passionate individual who loves to develop scalable backend

●    Strong programming capabilities

●    Understanding of cloud architecture and protocols.

●    Clear thought process, believe in simplifying rather than complicating

●    Argue and fight over opinions. Believe in always choosing the best

You Should Have

●    Experience on NoSQL Databases and designing REST API.

●    Strong fundamentals of Data structure and algorithm.

●    Done related projects during graduation/post-graduation.

●    Experience on AWS, AWS Lambda, AWS IoT Core, AWS Cloud Watch is a big plus.

Proficiency in Python