Marketing Head/ Full Stack Marketing Manager

We are seeking a talented and motivated AI Verification Engineer to join our team. The ideal candidate will be responsible for the validation of our AI and Machine Learning systems, ensuring that they meet all necessary quality assurance requirements and work reliably and optimally in real-world scenarios. The role requires strong analytical skills, a good understanding of AI and ML technologies, and a dedication to achieving excellence in the production of state-of-the-art systems.

Key Responsibilities:

1. Develop and execute validation strategies and test plans for AI and ML systems, during development and on production environments.
2. Work closely with AI/ML engineers and data scientists in understanding system requirements and capabilities and coming up with key metrics for system efficacy.
3. Evaluate the system performance under various operating conditions, data variety, and scenarios.
4. Perform functional, stress, system, and other testing types to ensure our systems' reliability and robustness.
5. Create automated test procedures and systems for regular verification and validation processes, and detect any abnormal anomalies in usage.
6. Report and track defects, providing detailed information to facilitate problem resolution.
7. Lead the continuous review and improvement of validation and testing methodologies, procedures, and tools.
8. Provide detailed reports and documentation on system performance, issues, and validation results.

Required Skills & Qualifications:

1. Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
2. Proven experience in the testing and validation of AI/ML systems or equivalent complex systems.
3. Good knowledge and understanding of AI and ML concepts, tools, and frameworks.
4. Proficient in scripting and programming languages such as Python, shell scripts etc.
5. Experience with AI/ML platforms and libraries such as TensorFlow, PyTorch, Keras, or Scikit-Learn.
6. Excellent problem-solving abilities and attention to detail.
7. Strong communication skills, with the ability to document and explain complex technical concepts clearly.
8. Ability to work in a fast-paced, collaborative environment.

Preferred Skills & Qualifications:

1.  A good understanding of various large language models, image models, and their comparative strengths and weaknesses.
2. Knowledge of CI/CD pipelines and experience with tools such as Jenkins, Git, Docker.
3. Experience with cloud platforms like AWS, Google Cloud, or Azure.
4. Understanding of Data Analysis and Visualization tools and techniques.

trying to make a mark in business areas like web development and Digital Marketing. we are looking for a Candidate who is Good in SEO, SEM, SMO AND SMM and who has hands-on experience. Selected candidates will be working on internal as well as client projects. This job is work from Office only.

Job Description :

Handle Customer queries & Outbound/Inbound Calls with a team

-Convert the lead to prospect & pass it on to Sales.

-Daily updating of leads on the CRM.

Assisted buying experience at the site.

-Energetic, self-motivated, able to work independently under pressure.

-Fluent in English , Marathi , Hindi communication.

Key Responsibilities

• Active participation in CMMI Level 5 Ver 2.0 (Services Model) pre-assessment & assessment
• Thorough knowledge in Service Delivery practices in multiple horizontals like Infrastructure, Enterprise Security
• Should start the process definitions, processes, templates, guidelines, and checklists from the scratch to align with the CMMi Level 5 Services Model version 2.0.
• Support for organizational process/workflow definitions
• Contribute/Coordinate process improvement activities.
• Process facilitation for projects/business activities/support functions
• Support for organizational data collection and analysis
• Assistance for organizational tools maintenance
• Promote /Support organizational library (Knowledge Repository)
• Effective/Inspirational trainer for organizational process

Candidate Profile:

• Expert in CMMi Level 5 Services 2.0 model.
• Should have participated as an ATM in at least one CMMi Level 5 Services 2.0 assessment and renewal process
• Experience in methodologies like Agile, Lean, SAFe Agile, Kanban, DevOps projects etc.
• Quality experience in Infra Services and Security services business
• Ability to understand business requirements and to design suitable process.
• Ability to identify gaps/improvement opportunities/risks in existing QMS.
• Knowledge of organizational data collection methods and analysis
• Ability in planning, coordinating, and conducting internal audits.
• Ability in serving business activities/projects as a process facilitator.
• Excellent communications skills
• Excellent MS Office Skills
• Well versed with latest trends in quality assurance and quality control.

What you need to have:

Company Description

At Bungee Tech, we help retailers and brands meet customers everywhere and, on every occasion, they are in. We believe that accurate, high-quality data matched with compelling market insights empowers retailers and brands to keep their customers at the center of all innovation and value they are delivering. 

We provide a clear and complete omnichannel picture of their competitive landscape to retailers and brands. We collect billions of data points every day and multiple times in a day from publicly available sources. Using high-quality extraction, we uncover detailed information on products or services, which we automatically match, and then proactively track for price, promotion, and availability. Plus, anything we do not match helps to identify a new assortment opportunity.

Empowered with this unrivalled intelligence, we unlock compelling analytics and insights that once blended with verified partner data from trusted sources such as Nielsen, paints a complete, consolidated picture of the competitive landscape.

We are looking for a Big Data Engineer who will work on the collecting, storing, processing, and analyzing of huge sets of data. The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them.

You will also be responsible for integrating them with the architecture used in the company.

We're working on the future. If you are seeking an environment where you can drive innovation, If you want to apply state-of-the-art software technologies to solve real world problems, If you want the satisfaction of providing visible benefit to end-users in an iterative fast paced environment, this is your opportunity.

Responsibilities

As an experienced member of the team, in this role, you will:

• Contribute to evolving the technical direction of analytical Systems and play a critical role their design and development

• You will research, design and code, troubleshoot and support. What you create is also what you own.

• Develop the next generation of automation tools for monitoring and measuring data quality, with associated user interfaces.

• Be able to broaden your technical skills and work in an environment that thrives on creativity, efficient execution, and product innovation.

BASIC QUALIFICATIONS

• Bachelor’s degree or higher in an analytical area such as Computer Science, Physics, Mathematics, Statistics, Engineering or similar.
• 5+ years relevant professional experience in Data Engineering and Business Intelligence
• 5+ years in with Advanced SQL (analytical functions), ETL, Data Warehousing.
• Strong knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures, data modeling and performance tuning.
• Ability to effectively communicate with both business and technical teams.
• Excellent coding skills in Java, Python, C++, or equivalent object-oriented programming language
• Understanding of relational and non-relational databases and basic SQL
• Proficiency with at least one of these scripting languages: Perl / Python / Ruby / shell script

PREFERRED QUALIFICATIONS

• Experience with building data pipelines from application databases.
• Experience with AWS services - S3, Redshift, Spectrum, EMR, Glue, Athena, ELK etc.
• Experience working with Data Lakes.
• Experience providing technical leadership and mentor other engineers for the best practices on the data engineering space
• Sharp problem solving skills and ability to resolve ambiguous requirements
• Experience on working with Big Data
• Knowledge and experience on working with Hive and the Hadoop ecosystem
• Knowledge of Spark
• Experience working with Data Science teams

• Measure impact and perform analysis to improve KPIs.

• Architect, design and build complex, highly scalable, high performance enterprise applications
• Lead, mentor and work with a team of engineers to deliver on clients application expectations
• Work with clients engineering needs and deliver on requirements in a team environment
• Accelerate development velocity for all engineers and deliver continuous improvements to the teams process and codebase
• Build automation to prevent and/or remediate service problems from becoming production incidents