
Greetings from Wissen Technology,
Please find the attached Job description:
Job Title: Talent Acquisition Specialist
Experience: 2-6 Years
Location: Bangalore
Employment Type: Full-time
Notice Period: Immediate joiners preferred
About Wissen Technology
Wissen Technology is a fast-growing technology consulting firm offering world-class services to clients across industries. We focus on leveraging the latest advancements in technology and talent to deliver cutting-edge solutions. As a part of our expansion plans, we are looking for a passionate Talent Acquisition Specialist to join our dynamic HR team.
Key Responsibilities:
- End-to-End Recruitment: Manage the entire recruitment life cycle for technology and non-technology roles, from understanding job requirements to onboarding.
- Sourcing & Screening: Use various sourcing methods (job portals, social media, networking) to find suitable candidates and screen resumes to shortlist qualified applicants.
- Interview Coordination: Schedule and conduct interviews in coordination with hiring managers, ensuring a smooth and efficient interview process.
- Stakeholder Management: Collaborate closely with department heads and team leads to understand hiring needs and align recruitment strategies.
- Candidate Experience: Ensure a positive candidate experience through clear communication, timely feedback, and a streamlined recruitment process.
- Talent Pipelining: Build and maintain a talent pool of qualified professionals by developing relationships with potential candidates for future roles.
- Employer Branding: Actively promote Wissen Technology's employer brand to attract top talent, ensuring a strong presence in the job market.
- Offer Negotiation: Manage compensation discussions and job offers in alignment with the company's salary structure.
- Compliance: Ensure recruitment activities comply with internal policies and legal requirements, including diversity and inclusion goals.
Required Skills:
- Recruitment Expertise: Strong knowledge and experience in end-to-end recruitment, particularly in the technology domain.
- Sourcing Skills: Proficiency in using job portals (Naukri, Monster, LinkedIn), professional networking platforms, and social media for talent sourcing.
- Communication & Negotiation: Excellent verbal and written communication skills with the ability to negotiate effectively.
- Tech-Savvy: Familiarity with Applicant Tracking Systems (ATS) and HR recruitment tools.
- Stakeholder Management: Strong interpersonal skills to engage with internal stakeholders and candidates effectively.
- Adaptability: Ability to manage multiple recruitment processes simultaneously in a fast-paced environment.
Qualifications:
- Bachelor’s or Master’s degree in Human Resources, Business Administration, or a related field.
- 4-6 years of experience in Talent Acquisition, with a focus on the technology sector.
- Proven track record of hiring for tech and non-tech roles in a competitive market.
- Immediate joiners are highly preferred.

About Wissen Technology
About
The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015. Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains.
With offices in US, India, UK, Australia, Mexico, and Canada, we offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.
Leveraging our multi-site operations in the USA and India and availability of world-class infrastructure, we offer a combination of on-site, off-site and offshore service models. Our technical competencies, proactive management approach, proven methodologies, committed support and the ability to quickly react to urgent needs make us a valued partner for any kind of Digital Enablement Services, Managed Services, or Business Services.
We believe that the technology and thought leadership that we command in the industry is the direct result of the kind of people we have been able to attract, to form this organization (you are one of them!).
Our workforce consists of 1000+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like MIT, Wharton, IITs, IIMs, and BITS and with rich work experience in some of the biggest companies in the world.
Wissen Technology has been certified as a Great Place to Work®. The technology and thought leadership that the company commands in the industry is the direct result of the kind of people Wissen has been able to attract. Wissen is committed to providing them the best possible opportunities and careers, which extends to providing the best possible experience and value to our clients.
Connect with the team
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Lead Machine Learning (ML)/
NLP Engineer
5 + years of experience
About Contify
Contify is an AI-enabled Market and Competitive Intelligence (MCI)
software to help professionals make informed decisions. Its B2B SaaS
platform helps leading organizations such as Ericsson, EY, Wipro,
Deloitte, L&T, BCG, MetLife, etc. track information on their competitors,
customers, industries, and topics of interest by continuously monitoring
over 500,000+ sources on a real-time basis. Contify is rapidly growing
with 185+ people across two offices in India. Contify is the winner of
Frost and Sullivan’s Product Innovation Award for Market and
Competitive Intelligence Platforms.
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engineering person for the Lead ML/ NLP Engineer position. You’ll build
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➔ Understand the business objectives; design and deploy scalable
ML models/ NLP applications to meet those objectives
➔ Use of NLP techniques for text representation, semantic analysis,
information extraction, to meet the business objectives in an
efficient manner along with metrics to measure progress
➔ Extend existing ML libraries and frameworks and use effective text
representations to transform natural language into useful features
➔ Defining and supervising the data collection process, verifying data
quality, and employing data augmentation techniques
➔ Defining the preprocessing or feature engineering to be done on a
given dataset
➔ Analyze the errors of the model and design strategies to overcome
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NLP tasks
➔ Collaborate with engineering and product development teams
➔ Represent Contify in external ML industry events and publish
thought leadership articles
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To succeed in this role, you should possess outstanding skills in
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➔ Deep understanding of text representation techniques (such as n-
grams, bag of words, sentiment analysis, etc), statistics and
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➔ Hand on experience in feature extraction techniques for text
classification and topic mining
➔ Knowledge of text analytics with a strong understanding of NLP
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and their underlying computational and probabilistic statistics
◆ Word Embedding like Tfidf, Word2Vec, GLove, FastText, etc.
◆ Language models like Bert, GPT, RoBERTa, XLNet
◆ Neural networks like RNN, GRU, LSTM, Bi-LSTM
◆ Classification algorithms like LinearSVC, SVM, LR
◆ XGB, MultinomialNB, etc.
◆ Other Algos- PCA, Clustering methods, etc
➔ Excellent knowledge and demonstrable experience in using NLP
packages such as NLTK, Word2Vec, SpaCy, Gensim, Standford
CoreNLP, TensorFlow/ PyTorch.
➔ Experience in setting up supervised & unsupervised learning
models including data cleaning, data analytics, feature creation,
model selection & ensemble methods, performance metrics &
visualization
➔ Evaluation Metrics- Root Mean Squared Error, Confusion Matrix, F
Score, AUC – ROC, etc
➔ Understanding of knowledge graph will be a plus
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➔ Education: Bachelors or Masters in Computer Science,
Mathematics, Computational Linguistics or similar field
➔ At least 4 years' experience building Machine Learning & NLP
solutions over open-source platforms such as SciKit-Learn,
Tensorflow, SparkML, etc
➔ At least 2 years' experience in designing and developing
enterprise-scale NLP solutions in one or more of: Named Entity
Recognition, Document Classification, Feature Extraction, Triplet
Extraction, Clustering, Summarization, Topic Modelling, Dialog
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➔ Being a committer or a contributor to an open-source project is a
plus
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Remuneration: Best in the Industry.
Job Location: Bommanahalli, Hosur Road, Bengaluru
Notice Period: Immediate









