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● In this role, you will support the revenue targets for the Agency team
● You will be Datawrkz ambassador in the market for the agency
relationships that you own and will be responsible for shaping up a
long-term business plan for the agency to make Datawrkz as the
preferred digital media partner
● You will be expected to understand the digital ecosystem, be abreast
with industry analytics and be on top of industry trends
● You will be expected to drive strategic and tactical initiatives to
maintain a healthy sales pipeline on a regular basis; be proactive in
highlighting any roadblocks and maintain high standards in following
internal processes
● This is an individual contributor role where the focus is on maximizing
revenue potential with the Agency relationship that you own,
evangelizing Datawrkz as a premium destination for digital spends
● You will be expected to manage all stakeholder relationships end to
end with minimum supervision
● In this role, you will work closely with the internal sales strategy team
and internal client team for the conceptualization & execution of
long-term deals for your account
Required skills:
● 10+ years of experience in digital media agency / digital ad sales/
consumer internet industry
● Preferred Qualification: MBA, preferably from Tier I/Tier II institutes
● Working knowledge of demand-side platforms, ad networks,
exchanges, or other online or digital advertising sales roles for
publishers or agencies
● Strong partnerships across agency holding groups and with large
digital media spenders on the client/brand side.
● Understanding of Media Agency’s way of working/ principles /
consultative selling will be an added advantage
● Should be both a brand builder with a strong ability to drive and
achieve sales targets
● Comfort to use data and analytics while building on client
conversations
● Ability to leverage relationships, build a strong network, and have
effective negotiations
- Create and execute a new logo customer acquisition strategy for Lemnisk for the BFSI vertical.
- Own and deliver the quarterly/Annual order booking target.
- Own and lead end-to-end sales process from lead generation, lead qualification, Proposal submission, Contract Negotiation, and Closure for designated markets.
- Proactively refine lead generation, lead qualification process, and pitch for engaging customers/prospects.
- Must have working experience in MarTech of Enterphrise Saas Company
Position: Business Developer
Experience: Freshers
Location: On-site
Department: Sales & Business Development
Overview:
We are seeking a motivated and results-driven Business Developer to identify new business opportunities, build long-term client relationships, and drive revenue growth. The ideal candidate should have strong communication skills, a strategic mindset, and the ability to thrive in a fast-paced environment. Experience in sports, fitness, SaaS, technology, or partnerships is a plus.
Required Skills & Qualifications:
Bachelor’s degree in Business, Marketing, Sports Management, or related field.
Fresher to 3 years of experience in Business Development, Sales, Partnerships, or Account Management.
Strong communication, negotiation, and presentation skills.
Proven track record of meeting or exceeding sales targets.
Ability to build rapport quickly and work collaboratively with cross-functional teams.
Strong analytical and problem-solving abilities.
Persistence, resilience, and a high-performance mindset.
Preferred (Good to Have):
Experience in sports, fitness, sports-tech, SaaS, or B2B environments.
Existing network within sports organizations, corporates, or educational institutions.
Knowledge of lead generation automation tools.
Ability to pitch to senior stakeholders and decision-makers.
Key Competencies:
Result-Oriented
Strategic Thinking
Relationship Building
Market Awareness
Objection Handling
Time & Pipeline Management

Requirement 1: Sr. Sales Executive ( Internal Requirement- Only Female candidates)
- Experience Required: Minimum 2 years in Direct/Perm Staffing and Contingent Staffing Sales for the USA market.
- Scadea Payroll
- Preferred Candidate: Female
- Budget: 6 LPA don’t go beyond.
- NO Cab Facility
- Shift: Night Shift (Onsite – Bangalore)
- Skills Required:
- Excellent communication skills
- Extensive experience in lead generation, cold calling, and cold emailing, US Staffing.
- Additional Criteria: Must have stayed in the same company for over a year.
Android Services, System service and framework development, Broadcast using Java, Kotlin, C++ (Mandatory)
Experience in AOSP build setup & understanding of Android.bp, gradle, Android.mk (Mandatory)
IPC mechanism in Android: AIDL, JNI, HIDL, Socket Communication (Mandatory)
Experience in Android application development using Java & Kotlin (Mandatory)
Custom UI component development & understanding of MVVM architecture (Mandatory)
Flexible in customizing AOSP for product branding (Good to have)
RESTful service integration, Multithreading ,Message queueing (Good to have)
Location: Bangalore
Immediate joiners to 15 days joiners preferred
Skills: C#, ASP.NET, ENTITY FRAMEWORK, Dotnet fullstack development
Skills Required:
" Experienced with front end programming language with React JS.
" Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model.
" Thorough understanding of React.js and its core principles.
" Experience with popular React.JS workflows (such as Flux or Redux).
" Knowledge of modern authorization mechanisms, such as JSON Web Token.
" Familiarity with modern front-end build pipelines and tools.
" Familiarity with code versioning tools (such as Git, SVN, and Mercurial).
" Candidates with Good communication Skills.
- We are looking for a Data Engineer to build the next-generation mobile applications for our world-class fintech product.
- The candidate will be responsible for expanding and optimising our data and data pipeline architecture, as well as optimising data flow and collection for cross-functional teams.
- The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimising data systems and building them from the ground up.
- Looking for a person with a strong ability to analyse and provide valuable insights to the product and business team to solve daily business problems.
- You should be able to work in a high-volume environment, have outstanding planning and organisational skills.
Qualifications for Data Engineer
- Working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Experience building and optimising ‘big data’ data pipelines, architectures, and data sets.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Strong analytic skills related to working with unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency and workload management.
- Experience supporting and working with cross-functional teams in a dynamic environment.
- Looking for a candidate with 2-3 years of experience in a Data Engineer role, who is a CS graduate or has an equivalent experience.
What we're looking for?
- Experience with big data tools: Hadoop, Spark, Kafka and other alternate tools.
- Experience with relational SQL and NoSQL databases, including MySql/Postgres and Mongodb.
- Experience with data pipeline and workflow management tools: Luigi, Airflow.
- Experience with AWS cloud services: EC2, EMR, RDS, Redshift.
- Experience with stream-processing systems: Storm, Spark-Streaming.
- Experience with object-oriented/object function scripting languages: Python, Java, Scala.
About us
DataWeave provides Retailers and Brands with “Competitive Intelligence as a Service” that enables them to take key decisions that impact their revenue. Powered by AI, we provide easily consumable and actionable competitive intelligence by aggregating and analyzing billions of publicly available data points on the Web to help businesses develop data-driven strategies and make smarter decisions.
Data Science@DataWeave
We the Data Science team at DataWeave (called Semantics internally) build the core machine learning backend and structured domain knowledge needed to deliver insights through our data products. Our underpinnings are: innovation, business awareness, long term thinking, and pushing the envelope. We are a fast paced labs within the org applying the latest research in Computer Vision, Natural Language Processing, and Deep Learning to hard problems in different domains.
How we work?
It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest data problems that there are. We are in the business of making sense of messy public data on the web. At serious scale!
What do we offer?
● Some of the most challenging research problems in NLP and Computer Vision. Huge text and image
datasets that you can play with!
● Ability to see the impact of your work and the value you're adding to our customers almost immediately.
● Opportunity to work on different problems and explore a wide variety of tools to figure out what really
excites you.
● A culture of openness. Fun work environment. A flat hierarchy. Organization wide visibility. Flexible
working hours.
● Learning opportunities with courses and tech conferences. Mentorship from seniors in the team.
● Last but not the least, competitive salary packages and fast paced growth opportunities.
Who are we looking for?
The ideal candidate is a strong software developer or a researcher with experience building and shipping production grade data science applications at scale. Such a candidate has keen interest in liaising with the business and product teams to understand a business problem, and translate that into a data science problem.
You are also expected to develop capabilities that open up new business productization opportunities.
We are looking for someone with a Master's degree and 1+ years of experience working on problems in NLP or Computer Vision.
If you have 4+ years of relevant experience with a Master's degree (PhD preferred), you will be considered for a senior role.
Key problem areas
● Preprocessing and feature extraction noisy and unstructured data -- both text as well as images.
● Keyphrase extraction, sequence labeling, entity relationship mining from texts in different domains.
● Document clustering, attribute tagging, data normalization, classification, summarization, sentiment
analysis.
● Image based clustering and classification, segmentation, object detection, extracting text from images,
generative models, recommender systems.
● Ensemble approaches for all the above problems using multiple text and image based techniques.
Relevant set of skills
● Have a strong grasp of concepts in computer science, probability and statistics, linear algebra, calculus,
optimization, algorithms and complexity.
● Background in one or more of information retrieval, data mining, statistical techniques, natural language
processing, and computer vision.
● Excellent coding skills on multiple programming languages with experience building production grade
systems. Prior experience with Python is a bonus.
● Experience building and shipping machine learning models that solve real world engineering problems.
Prior experience with deep learning is a bonus.
● Experience building robust clustering and classification models on unstructured data (text, images, etc).
Experience working with Retail domain data is a bonus.
● Ability to process noisy and unstructured data to enrich it and extract meaningful relationships.
● Experience working with a variety of tools and libraries for machine learning and visualization, including
numpy, matplotlib, scikit-learn, Keras, PyTorch, Tensorflow.
● Use the command line like a pro. Be proficient in Git and other essential software development tools.
● Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus.
● Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’.
● It's a huge bonus if you have some personal projects (including open source contributions) that you work
on during your spare time. Show off some of your projects you have hosted on GitHub.
Role and responsibilities
● Understand the business problems we are solving. Build data science capability that align with our product strategy.
● Conduct research. Do experiments. Quickly build throw away prototypes to solve problems pertaining to the Retail domain.
● Build robust clustering and classification models in an iterative manner that can be used in production.
● Constantly think scale, think automation. Measure everything. Optimize proactively.
● Take end to end ownership of the projects you are working on. Work with minimal supervision.
● Help scale our delivery, customer success, and data quality teams with constant algorithmic improvements and automation.
● Take initiatives to build new capabilities. Develop business awareness. Explore productization opportunities.
● Be a tech thought leader. Add passion and vibrance to the team. Push the envelope. Be a mentor to junior members of the team.
● Stay on top of latest research in deep learning, NLP, Computer Vision, and other relevant areas.


