
Role: Ad Sales Manager / Assistant Manager
Location: Mumbai
Key Responsibilities:
● Ensure performance, strategy and alignment of the company's revenue-generating departments
● Establishing guiding sales organizational principles for managing performance
● Mapping key clients and agencies in the region for pitching the company advertising / marketing solutions
● Build trusted relationships, and clearly articulate key value propositions, processes and performance for the region
● Manage team and ensure they learn and deliver the set KRA's
● Execute the sales strategies, manage sales sales territories and leverage the right resources to optimize the results
Our Ideal colleague:
● Has grown and managed ad sales revenues
● Is deeply networked with large clients, media / ad agencies in the region
● Is an excellent communicator and operates with lot of trust and confidence
● Strategically views the marketplace, analyzes opportunities and successfully manages the growth of a profitable content business
● Wants to make an impact with work and right attitude
● Is a team player

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Required Skills and Experience:
Proficient in Java (Java 8 and above), with a strong understanding of object-oriented programming.
Knowledge in the trading domain, including familiarity with trading systems and protocols.
Strong skills in SQL and PL/SQL for database management and query optimization.
Hands-on experience with Linux and Windows operating systems for application deployment and maintenance.
Proficiency in scripting languages (e.g., Bash, PowerShell, or similar).
Knowledge of Python programming for auxiliary development and analytics tasks.
Familiarity with multithreading, concurrency, and low-latency application development.
Experience with CI/CD pipelines, version control systems (e.g., Git), and deployment workflows.
Job Requirements:
- 3+ years of relevant experience
- Experience in Dynamics 365 CE customization including the development of plugins, workflows, web resources, security, and Portal development.
- JavaScript, jQuery experience.
- CRM API / SDK knowledge and 3rd party solutions integration experience.
- SharePoint integration experience.
- Configuring and customizing D365 CE first-party apps like sales, customer service, Field service.
- Managing Dynamics 365 integration with Azure services.
- D365 certifications


At Cypherock, We are disrupting the current financial system by increasing the adoption of Blockchain-based digital assets through better key management solutions. We build "Worlds' first products" from India, work at the intersection of Blockchain, Security, Embedded Hardware and Cryptography, and have worked with companies like Google, Blockgeeks, Samsung, Lockheed Martin, Apollo Munich, Bank of America amongst others.
As the primary person responsible for everything Blockchain in the company, we think it will be a great fit if -
- You love everything Crypto and are passionate to create the World's safest Crypto wallet.
- You have MERN stack & DevOps experience on AWS.
- You have reasonable open-source development experience and have shipped production-ready code.
- You can commit for at least 6 months and you are ideally in your 4th year of college and willing to join full time after the internship if mutually agreed.
If we decide to work together, we believe you would be a key team member who helps in the mass adoption of Crypto for the first billion users.
2. Making International calls to Top brands across the globe
3. Sending Sales proposals to client and closing sales.
Experience : 1 - 3 years (min 1 year in IT recruitment)
Location : Mumbai, Pune & Bengaluru.
The areas of responsibilities/skills for the Technical Recruiter include: (Job Responsibility)
Review Job descriptions to understand the needs of the client as well to ask questions thatll help you identify the right candidate(s). This is by far the most important skill a technical recruiter needs.
Understand technology, technical roles and technical skills required to successfully fulfil the client mandate.
Identify. Sourcing and uncovering candidates using necessary tools and social networking.
Screen. Ascertain the competence of candidates against a technical job description provided by the client.
Present. Showing or offering candidate resume to hiring managers to scrutinize or consider
Schedule. Schedule telephonic, Skype or Face to face interviews with the client after necessary co-ordination.
Networking. Keep candidates in the loop. Build a pipeline of good candidates for future mandates.
Key Deliverables:
Successful placement of candidates through presentation of employable and qualified candidates for technical positions in various industries and for job roles such as in software development, systems administration, database, architecture, business processes etc.
The following skills would be necessary:(Skills Required)
Technology knowledge Ability to understand technology and to keep abreast of technology trends at Client Company.
Proven work experience as a IT Recruiter (either an in-house recruiter or a staffing agency recruiter), Domestic recruitment.
Solid ability to conduct different types of interviews (structured, competency-based, stress etc)
Familiarity with HR databases, Applicant Tracking Systems (ATS) and Candidate Management Systems (CMS)
Relationship Building & Networking Building a strong pipeline of qualified IT candidates through regular follow-ups and networking.
Excellent communication in English & Hindi and interpersonal skills
Hands on experience with various selection processes (phone interviewing, reference check etc)



culture and operating norms as a result of the fast-paced nature of a new, high-growth
organization.
• 7+ years of Industry experience primarily related to Unstructured Text Data and NLP
(PhD work and internships will be considered if they are related to unstructured text
in lieu of industry experience but not more than 2 years will be accounted towards
industry experience)
• Develop Natural Language Medical/Healthcare documents comprehension related
products to support Health business objectives, products and improve
processing efficiency, reducing overall healthcare costs
• Gather external data sets; build synthetic data and label data sets as per the needs
for NLP/NLR/NLU
• Apply expert software engineering skills to build Natural Language products to
improve automation and improve user experiences leveraging unstructured data storage, Entity Recognition, POS Tagging, ontologies, taxonomies, data mining,
information retrieval techniques, machine learning approach, distributed and cloud
computing platforms
• Own the Natural Language and Text Mining products — from platforms to systems
for model training, versioning, deploying, storage and testing models with creating
real time feedback loops to fully automated services
• Work closely and collaborate with Data Scientists, Machine Learning engineers, IT
teams and Business stakeholders spread out across various locations in US and India
to achieve business goals
• Provide mentoring to other Data Scientist and Machine Learning Engineers
• Strong understanding of mathematical concepts including but not limited to linear
algebra, Advanced calculus, partial differential equations and statistics including
Bayesian approaches
• Strong programming experience including understanding of concepts in data
structures, algorithms, compression techniques, high performance computing,
distributed computing, and various computer architecture
• Good understanding and experience with traditional data science approaches like
sampling techniques, feature engineering, classification and regressions, SVM, trees,
model evaluations
• Additional course work, projects, research participation and/or publications in
Natural Language processing, reasoning and understanding, information retrieval,
text mining, search, computational linguistics, ontologies, semantics
• Experience with developing and deploying products in production with experience
in two or more of the following languages (Python, C++, Java, Scala)
• Strong Unix/Linux background and experience with at least one of the following
cloud vendors like AWS, Azure, and Google for 2+ years
• Hands on experience with one or more of high-performance computing and
distributed computing like Spark, Dask, Hadoop, CUDA distributed GPU (2+ years)
• Thorough understanding of deep learning architectures and hands on experience
with one or more frameworks like tensorflow, pytorch, keras (2+ years)
• Hands on experience with libraries and tools like Spacy, NLTK, Stanford core NLP,
Genism, johnsnowlabs for 5+ years
• Understanding business use cases and be able to translate them to team with a
vision on how to implement
• Identify enhancements and build best practices that can help to improve the
productivity of the team.


