Business Analyst with SQL & Banking Domain

We're Hiring! 🚨

We are excited to announce an amazing opportunity for 60 Interns to join our team as Holiday Experts! If you're looking to kickstart your career and gain hands-on experience, this is your chance.

📍 Location: Sector 32, Gurgaon

💼 Duration: 6 months to 1 year (Based on performance)

💰 Stipend: ₹12,000 per month

Post-Internship:

Successful interns will be offered a full-time role with an attractive CTC of ₹3-3.5 LPA!

If Interested share your resume.

Job Description:

• Design and develop automated test scripts using Java and Selenium.
• Implement BDD frameworks using Cucumber.
• Perform API testing using tools like Postman, RestAssured, or similar.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Identify and correct bottlenecks and fix bugs.
• Help maintain code quality, organization, and automation.
• Write unit and integration tests to ensure the design criteria are met.
• Produce well-written documentation for each test case.

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

SEO job at Sugam Groups where we can get nice experience and exposure and a candidate can learn many new things.

A Business Transformation Organization that partners with businesses to co–create customer-centric hyper-personalized solutions to achieve exponential growth. Invente offers platforms and services that enable businesses to provide human-free customer experience, Business Process Automation.

Location: Hyderabad (WFO)

Budget: Open

Position: Azure Data Engineer

Experience: 5+ years of commercial experience

Responsibilities

●     Design and implement Azure data solutions using ADLS Gen 2.0, Azure Data Factory, Synapse, Databricks, SQL, and Power BI

●     Build and maintain data pipelines and ETL processes to ensure efficient data ingestion and processing

●     Develop and manage data warehouses and data lakes

●     Ensure data quality, integrity, and security

●     Implement from existing use cases required by the AI and analytics teams.

●     Collaborate with other teams to integrate data solutions with other systems and applications

●     Stay up-to-date with emerging data technologies and recommend new solutions to improve our data infrastructure

Experience: 1 – 3.5 years

Mandatory Skills 

• Should have good knowledge in Object Oriented Programming concepts. 
• Good knowledge in ASP.NET, MVC and C#
• Understanding of JavaScript, HTML5 and CSS. 
• Good Knowledge in SQL Server and RDBMS concepts.

Desired Skills set:

• Create systems with .NET framework 4.x / ASP.NET MVC / SQL Server 2008-2016 / WCF / Web Services / WebAPI based on the design specification.
• Ability to create and optimize SQL Server 2008-2016 stored procedures.
• Experience with JQuery or similar technologies.
• Knowledge on .Net Core is an added advantage.

Description:

• Understanding on performing analysis and design, and develop the small/large-scale systems.
• Responsible for developing new programs and proofing the program to develop needed changes to assure production of a quality product.
• Tests the written programs to ensure that logic and syntax are correct, and that program results are accurate.
• Document code consistently throughout the development process by listing a description of the program, special instructions, and any changes made in database tables on procedural, modular and database level.
• Strong grasp of OO principles
• 1+ years of development experience in OO languages such as C# and MVC architecture.
• Sound knowledge of SQL and database technologies
• Knowledge of Agile Methodologies such as Extreme Programming (XP) & Scrum

Responsibilities

• Writing clean and secure modular codes that have undergone strict testing and evaluation.
• Maintaining and designing databases effectively.
• Build efficient, testable, and reusable PHP modules
• Solve complex performance problems and architectural challenges
• Write quality code with robustness and re-usability for secured web applications and web services (REST and SOAP) for mobile apps.
• Ability to work in a team environment as well should be able to manage a team.
• Must meet the deadline.

Requirements

• Strong hands on experience with PHP Laravel framework
• Knowledge of object oriented PHP programming
• Must have strong experience with API (Web Services) development using JSON, RESTFUL.
• Understanding of MVC design patterns
• Should be best at writing and understanding complex queries using any of two from - MySQL, NoSQL, MongoDB, PostgreSQL, T-SQL.

• Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3

• Proficient understanding of code versioning tools, such as Git, SVN.

• Excellent communication and problem-solving skills.