Deep Learning Engineering

Department Accounts and Finance

JD:  

Accounting Manage and oversee the day-to-day operations of the accounts and finance department.

 Ensure accurate and timely recording of financial transactions.

 Supervise the maintenance of general ledger and subsidiary ledgers.

 Review and approve journal entries and adjustments.

 Perform ledger scrutiny to identity unusual balances and highlight

the same with resolution measures.

Monitor reconciliation of bank accounts, receivables, and payables.

 Managing and maintaining borrowing and liquidity profile of the

Company and assisting CFO in evaluating various fund raising

options.

Preparation of documents relating to fresh borrowings and renewal

of existing credit lines.

Ensuring compliance with Indian GAAP and IND AS as per reporting

requirements of client companies Auditing.

Prepare and present timely and accurate financial statements and

reports to senior management.

 Prepare quarterly Ind AS financial statements as required for Board

&exchange filing.

 Assist in preparation of annual financial statements with disclosures.

 Assist in various audits and data requirements. (Internal, Stat & IFC)

Prepare various information packs as required for management and

board meetings.

Regulatory reporting Prepare and file quarterly RBI XBRL returns.

 Collation of information asked by RBI from time to time and during yearly inspection.

Ensure compliance with TDS, GST & Labour laws.

Skills Strong understanding of accounting principals.

 Knowledge of Indian taxation specially TDS & GST.

 Proficient with MS Office products. (MS Excel, word & outlook)

 Self-motivated and proactive with good communication skills.

 Working knowledge of Oracle fusion will be added advantage.

 Hiring: Azure Data Engineer

⭐ Experience: 2+ Years

📍 Location: Pune, Bhopal, Jaipur, Gurgaon, Bangalore

⭐ Work Mode:- Hybrid

⏱️ Notice Period: Immediate Joiners

Passport: Mandatory & Valid

(Only immediate joiners & candidates serving notice period)

Mandatory Skills:

Azure Synapse, Azure Databricks, Azure Data Factory (ADF), SQL, Delta Lake, ADLS, ETL/ELT,Pyspark .

Responsibilities:

• Build and maintain data pipelines using ADF, Databricks, and Synapse.
• Develop ETL/ELT workflows and optimize SQL queries.
• Implement Delta Lake for scalable lakehouse architecture.
• Create Synapse data models and Spark/Databricks notebooks.
• Ensure data quality, performance, and security.
• Collaborate with cross-functional teams on data requirements.

Nice to Have:

Azure DevOps, Python, Streaming (Event Hub/Kafka), Power BI, Azure certifications (DP-203).

At Incruiter, we are building a next-generation SaaS platform that transforms how companies hire talent. As a QA Engineer – Manual Testing, you will take ownership of ensuring the reliability, functionality, and user experience of our product. This is an opportunity to be a quality champion and set up scalable QA practices in a fast- paced startup environment.

EXCITED ABOUT YOUR TASKS?

● Lead the manual testing efforts for Incruiter’s SaaS applications (web)

● Design, document, and execute comprehensive test plans, cases, and scenarios.

● Perform functional, regression, integration, system, and UAT testing to ensure high-quality releases.

● Use Postman to validate and test APIs. Identify, log, and track bugs to closure using tools like Jira, TestRail, and Bugzilla.

● Collaborate with Product Managers, Developers, and Business Teams to ensure clear understanding of requirements.

● Prepare and maintain QA documentation (test reports, defect analysis, test strategies).

● Mentor and guide junior QA members, ensuring adherence to best practices.

● Own the QA sign-off process before each release.

WHAT WILL YOU NEED TO SUCCEED?

● 2+ years of strong hands-on experience in manual testing (SaaS/product- based environment preferred).

● Proven expertise in testing web applications, APIs, and mobile applications.

● Strong knowledge of SDLC, STLC, and defect lifecycle.

● Proficiency in using Postman for API testing.

● Good to have Hands-on experience with Jira, TestRail, and Bugzilla.

● Strong attention to detail, analytical skills, and problem-solving ability.

● Excellent communication skills to work effectively across teams.

Role Overview

We're looking for a highly motivated AI Intern to join our dynamic team. This isn't your average internship; you'll be diving headfirst into the exciting world of Natural Language Processing (NLP) and Large Language Models (LLMs). You will work on real-world projects, contributing directly to our core products by researching, developing, and fine-tuning state-of-the-art language models. If you're passionate about making machines understand and generate human language, this is the perfect role for you!

Skills Needed:

1. Python
2. ML
3. NLP
4. LLM Fine-Tuning
5. Fast API

What You'll Do (Key Responsibilities)

Develop & Implement LLM Models: Assist in building and deploying LLM solutions for tasks like sentiment analysis, text summarization, named entity recognition (NER), and question-answering.

Fine-Tune LLMs: Work hands-on with pre-trained Large Language Models (like Llama, GPT, BERT) and fine-tune them on our custom datasets to enhance performance for specific tasks.

Data Pipeline Management: Be responsible for data preprocessing, cleaning, and augmentation to create high-quality datasets for training and evaluation.

Experiment & Evaluate: Research and experiment with different model architectures and fine-tuning strategies (e.g., LoRA, QLoRA) to optimize for accuracy, speed, and cost.

Collaborate & Document: Work closely with our senior ML engineers and data scientists, actively participating in code reviews and clearly documenting your findings and methodologies.

Must-Have Skills (Qualifications)

Strong Python Proficiency: You live and breathe Python and are comfortable with its data science ecosystem (Pandas, NumPy, Scikit-learn).

Solid ML & NLP Fundamentals: A strong theoretical understanding of machine learning algorithms, deep learning concepts, and core NLP techniques (e.g., tokenization, embeddings, attention mechanisms).

Deep Learning Frameworks: Hands-on experience with either PyTorch or TensorFlow.

Familiarity with LLMs: You understand the basics of transformer architecture and have some exposure to working with or fine-tuning Large Language Models.

Problem-Solving Mindset: An analytical and curious approach to tackling complex challenges.

Educational Background: Currently pursuing or recently graduated with a degree in Computer Science, AI, Data Science, or a related technical field.

Brownie Points For (Preferred Skills)

Experience with the Hugging Face ecosystem (Transformers, Datasets, Tokenizers).

A portfolio of personal or academic projects on GitHub showcasing your AI/ML skills.

Familiarity with vector databases (e.g., Pinecone, ChromaDB).

Responsibilities

• Build efficient, testable and reusable codes.
• Collaborate with engineers, PMs and designers to quickly ship new requirements.
• Take on tough design and product problems while working cross-functionally across design and engineering to polish the product experience.
• Solve complex performance problems and architectural challenges.
• Thrive in a culture of continuous improvement by optimizing web products and related components to achieve and maintain high performance of business applications.
•  

Requirements

• 2-3 years experience with hands on experience in both iOS  platform with an attitude to learn the other platform.
• Strong passion for Programming in general and iOS App development in specific.
• Experience in source revision control systems such as git, svn.
• Knowledgeable about MVC and MVVM architecture.
• Experience working with remote data via REST and JSON.
• Experience with SQL Lite and other databases.
• Experience with UI development.
• Experience with publishing apps.
• Positive attitude towards work (Dynamic) and good communication skills.

Required iOS skill

• Good knowledge of SWIFT, Xcode and iOS widgets.
• Experience with Core data.
• Experience in integrating 3rd party libraries.
• Experience in building multiple Xcode schemes.

Job Description

• Independently own one or more multiple modules, which includes: requirement analysis, design, development, maintenance & support
• Write extensive, efficient code to address complex modules and that handles interaction between multiple components.
• Rapidly iterate to add new functionalities and solves complex problems with simple and intuitive solutions
• Produce architecture with clean interfaces, that are efficient and scalable
• Participate and contribute to architectural discussions
• Perform design and code reviews
• Perform technical feasibility and trade off studies & guides others to perform these studies
• Solve production issues. Investigate and provide solutions to minimize the business impact due to outage
• Continuously improve performance metrics of modules you own.
• Collaborate effectively across teams to solve problems, execute and deliver results

Requirements

• 2+ years of relevant industry experience in MERN stack
• A deep understanding of JavaScript
• Experience working with SQL and NoSQL databases
• Experience with Unit and Integration tests
• Experience with CI/CD
• Experience with MathJax/Latex
• Experience with large scale video streaming

• Partnering with internal business owners (product, marketing, edit, etc.) to understand needs and develop custom analysis to optimize for user engagement and retention
• Good understanding of the underlying business and workings of cross functional teams for successful execution
• Design and develop analyses based on business requirement needs and challenges.
• Leveraging statistical analysis on consumer research and data mining projects, including segmentation, clustering, factor analysis, multivariate regression, predictive modeling, etc.
• Providing statistical analysis on custom research projects and consult on A/B testing and other statistical analysis as needed. Other reports and custom analysis as required.
• Identify and use appropriate investigative and analytical technologies to interpret and verify results.
• Apply and learn a wide variety of tools and languages to achieve results
• Use best practices to develop statistical and/ or machine learning techniques to build models that address business needs.

• 2 - 4 years  of relevant experience in Data science.
• Preferred education: Bachelor's degree in a technical field or equivalent experience.
• Experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms.
• Machine Learning Algorithms: Crystal clear understanding, coding, implementation, error analysis, model tuning knowledge on Linear Regression, Logistic Regression, SVM, shallow Neural Networks, clustering, Decision Trees, Random forest, XGBoost, Recommender Systems, ARIMA and Anomaly Detection. Feature selection, hyper parameters tuning, model selection and error analysis, boosting and ensemble methods.
• Strong with programming languages like Python and data processing using SQL or equivalent and ability to experiment with newer open source tools.
• Experience in normalizing data to ensure it is homogeneous and consistently formatted to enable sorting, query and analysis.
• Experience designing, developing, implementing and maintaining a database and programs to manage data analysis efforts.
• Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE).
• Experience in risk and credit score domains preferred.