Marketing Intern

● Analyze business requirements and design test cases for functional and non-functional

testing.

● Identify, document, and track defects, ensuring thorough root cause analysis and resolution.

● Ensure high-quality application releases for UAT and Production.

● Collaborate with cross-functional teams during sprint planning, grooming, and

retrospectives.

● Conduct API testing and validate system integrations.

● Perform database testing to ensure data accuracy and integrity.

● Execute regression testing for unchanged features.

● Ensure compliance with company QA standards, policies, and best practices.

● Maintain test strategies, processes, and result documentation.

● Develop and manage test automation frameworks using tools like Cypress and Playwright.

Location-- Goregaon

- Content Artwork Creation for Social Media, Regular Posts,

- Company Graphics, logos, Event circulars and signs, other merchendise

Qualifications

Experience as administrative assistant conducting business operations and managing rhythm of business for a team of 100+ people. Should have experience managing executive visits and team events, vendor management. Procurement, asset management

1. Senior Oracle Consultant: Oracle EBS + Fusion+ OCI | 10+ Yrs | Standard IST
2. Oracle ERP | 7+ Yrs | Standard IST

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

Job Title: Executive Assistant to CEO

Job Description: We are looking for candidates with Good communication skills and are energetic to join our team as an executive assistant!!

Requirement:

• Good communication and interpersonal skills
• Must be good in handling calls
• Must be a graduate
• MS office

Responsibilities:

• Assisting the CEO with the day to day tasks
• Setting up meetings
• Managing tasks and updating
• Calendar management
• Email drafting and reverting
• Handling calls for the CEO
• Managing the floor and supervising

 PLSQL  Developer

experience of 4 to 6 years

Skills- MS SQl Server and Oracle, AWS or Azure

•            Experience in setting up RDS service in cloud technologies such as AWS or Azure

•            Strong proficiency with SQL and its variation among popular databases

•            Should be well-versed in writing stored procedures, functions, packages, using collections,

•            Skilled at optimizing large, complicated SQL statements.

•            Should have worked in migration projects.

•            Should have worked on creating reports.

•            Should be able to distinguish between normalized and de-normalized data modelling designs and use cases.

•            Knowledge of best practices when dealing with relational databases

•            Capable of troubleshooting common database issues

•            Familiar with tools that can aid with profiling server resource usage and optimizing it.

•            Proficient understanding of code versioning tools such as Git and SVN

• Create architectural designs based on product/design requirement and implement critical high performance,large scale services and libraries Participate in the design and implementation of next generation systems.
• Control projects from start to finish - deliverables to ensure high quality, innovative and functional design.
• Adhere to all industry standards in code and architectural designs and evangelize best practices in library.
• Collaborating with other professionals to determine functional and non-functional requirements for the product development.
• Provide constructive feedback on design and product reviews.
• Collaborate with Leads/Engineers for continuous improvement of the code quality by code review and help engineers write better code.
• Lead cross-functional initiatives working with bright engineers across organization.
• Lead engineering efforts from rapid prototypes to large-scale applications using variety of languages and tools/technology stacks.