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Desired Candidate Profile:
3+ Work experience in Trade Mark and IP is must.
Knowledge of Trademark journals opposition
Knowledge of Affidavits u/s 45, etc.
Expertise in trademark search, registration procedure
Well versed in data management
Deep knowledge of Trade Mark and IP
Rectification Proceedings
Injunction Matters
Cease & desist notice drafting
Drafting of various documents in relation with Intellectual Property and their rights.
Drafting and filing of notice of Opposition, Counter statements, Affidavits etc for Trade Mark related matters.
Good understanding of Trade Mark, Design and Copyright related matters.
Knowledge of Trade Mark, Design and Copyright laws.
Knowledge and experience of drafting opposition, counter statements, relevant affidavits, cease and desist notices etc.
Superior drafting and oral communication skills.
Team player with proven ability to attend to detail and work independently.
Self-starter who can work under pressure, manage multiple assignments, meet inflexible deadlines on own initiative and find creative solutions to problems.
Educational Qualifications: Should be a law graduate from a recognized University.

Job Description: Speech Recognition Engineer
3 years of industry experience
Responsibility:
Development of ASR engine using frameworks like ESPNET or FairSeq or Athena or
Deep Speech using PyTorch or Tensorflow
Assist to define technology required for Speech to Text besides core engine
and to design integration of these technologies.
Work on improvement of model's accuracy and guide the team with best practices.
Desired experience:
Good understanding of machine learning(ML) tools.
Should be well versed in classical speech processing methodologies like hidden
Markov models (HMMs), Gaussian mixture models (GMMs), Artificial neural
networks (ANNs), Language modeling, etc.
Hands-on experience of current deep learning (DL) techniques like Convolutional
neural networks (CNNs), recurrent neural networks (RNNs), long-term short-term
memory (LSTM), connectionist temporal classification (CTC), etc used for
speech processing is essential.
The candidate should have hands-on experience and any of the end-to-end
implementation of ASR tools such as ESPNET or FairSeq or Athena or Deep
Speech
Hands-on PyTorch and Tensorflow experience is desirable.
Experience in techniques used for resolving issues related to accuracy, noise,
confidence scoring etc.
Ability to implement recipes using scripting languages like bash
Ability to develop applications using python, c++, Java
Knowledge of Transformer Models like BERT-base. ELMo, ULM-FIT
Experience in CI/CD pipeline, MLOps processes
Hands-on deployment experience using cloud applications like AWS, GCP
Location: Bangalore
Desirable Skills: ML, Knowledge of Speech Recognition frameworks such as ESPNET
or FairSeq or Athena or Deep Speech etc, Hands-on experience of deep learning (DL)
techniques like CNN, RNN, LSTM etc., AWS, GCP
- Should have strong experience in CRM platform either Functional / Technical with strong exposure to Salesforce Lightning components.
- Must be familiar with like Sales Cloud, Service Cloud, Lightning Platform.
- Strong knowledge and development experience in Lightning development, Aura framework, Apex, Visualforce, JavaScript, jQuery, Angular Js.
- Expert knowledge of Salesforce.coms Web services, SOAP, REST.
- Must have experience in developing custom integration processes using Salesforce.coms Web Services API, SOAP, REST etc.
- Worked on latest web standards (OAuth, SAML, OpenID Connect, RESTful web services, JSON & others).
- Experienced with ETL tools like Starfish ETL, Talend Open Studio, Apex Data Loader, Pervasive, etc
- Familiarity and work experience with integrated development environments such as Eclipse.
- Good oral and written communication skill, Customer interaction skill and collaborative team working.
Before a product is released to the public, it goes through a lot of quality assurance testing: the QA lead organizes and manages that testing. In fact, the QA lead is just as responsible for a successful product launch as the engineers or developers involved in that project. This is a skilled profession that requires previous experience in quality assurance, preferably in the same industry as the company posting the job, along with prior management experience. QA leads typically keep full-time hours, but they may experience periods of overtime closer to product rollouts. Candidates who enjoy testing products and working in fast-paced environments are a great fit for this role.
Writing blogs, articles and press releases by co-ordinating directly with the Technical/SEO team.
2) Writing / Proof-reading corporate website content for US and UK based clients.
3) Preparing documentation, user manual and technical documentation for several IT projects related to Magento,WordPress,WooCommerce,Shopify etc.
4) Preparing Content for Social Media Promotion.
Knowledge of Embedded system architecture such as memory hierarchies,vector
Processing.
Experience in resource /load sharing and synchronisation techniques for multi - core
processing.
knowledge of embedded processor internals.
Automotive domain Experience.


applications
To identify and correct the software defects and to maintain the existing software
systems
To create test plans and technical specifications
To develop the guidelines and conventions not only for .NET but also for SQL Server, CSS,
HTML, JavaScript, and C#/VB.Net
Familiarity with the Net framework, SQL Server, and design patterns
Understanding of Agile methodologies
Familiarity with REST and RPC APIs
Candidate must be having minimum B. tech. (CSE) / MCA Regular degree.
The candidate must have minimum 3+ years or more experience and must have the
ability to work with teammates and at the individual level.
We work in a project based environment, so each project (research assignment) would not last for more than 3-4 weeks. Research assignments would primarily focus on B2B respondents/ prospects and the candidate will be required to call-up these respondents/prospects and convince them to participate in our research surveys further take them through the questionnaire and capture responses over the phone.
- Primarily will be involved in generating Leads over the phone with national and international respondents.
- Perform secondary research, and generate leads using various tools, directories and websites.

