
Responsibilities & duties:
- • Research, track, maintain and update leads
- • Make outgoing calls to develop new business
- • Contact prospects to qualify leads
- • Direct email marketing to key clients and prospects
- • Research and maintain lead generation database
- • Conduct customer research
- • Conduct client or market surveys to obtain information about potential leads
- • Participate in the preparation of proposals and / or sales presentations
- • Provide accurate and timely information to management
- • Develop a strong knowledge of the company’s products and services in order to facilitate the sales process
Skills / attributes required:
- • Excellent English communication (verbal and written)
- • Experience with cold calling
- • Experience with research and maintaining databases
- • Proficient in MS Office including Word, Excel, and Outlook
- • Experience in using CRM
- • Strong project and time management skills
- • Experience working with Western companies (preferred)

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Job Title : Data Scientist – NLP & LLM
Experience Required : 4 to 5+ Years
Location : Gurugram
Notice Period : Immediate Joiner Preferred
Employment Type : Full-Time
Job Summary :
We are seeking a highly skilled Data Scientist with strong expertise in Natural Language Processing (NLP) and modern deep learning techniques. The ideal candidate will have hands-on experience working with NER, RNN, LSTM, Transformers, GPT models, and Large Language Models (LLMs), including frameworks such as spaCy.
Mandatory Skills : NLP, spaCy, NER (Named-entity Recognition), RNN (Recurrent Neural Network), LSTM (Long Short-Term Memory), Transformers, GPT, LLMs, Python
Key Responsibilities :
- Design and implement NLP models for tasks like text classification, entity recognition, summarization, and question answering.
- Develop and optimize models using deep learning architectures such as RNN, LSTM, and Transformer-based models.
- Fine-tune or build models using pre-trained LLMs such as GPT, BERT, etc.
- Work with tools and libraries including spaCy, Hugging Face Transformers, and other relevant frameworks.
- Perform data preprocessing, feature extraction, and training pipeline development.
- Evaluate model performance and iterate with scalable solutions.
- Collaborate with engineering and product teams to integrate models into production.
Required Skills :
- 4 to 5+ years of hands-on experience in Data Science and NLP.
- Strong understanding of NER, RNN, LSTM, Transformers, GPT, and LLM architectures.
- Experience with spaCy, TensorFlow, PyTorch, and Hugging Face Transformers.
- Proficient in Python and its ML ecosystem (NumPy, pandas, scikit-learn, etc.).
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- Excellent problem-solving and communication skills.
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Produce high-quality code and experience with security implementations Identifying application security risks and Implementing security patches procedures.
Stronghold on MongoDB and experience on other No SQL databases.
Experience with Graph, Payment Gateway, Node.js process management and web sockets like socket.io
Experience on Integration of multiple data sources and databases into one system.
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Good knowledge of coding standards, design patterns, unit testing.
Stronghold on Data Structures and Algorithms.
Expertise in building scalable & reliable systems.
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Strong problem solving and analytical skills.
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Strong problem solving and analytical skills.
Able to architect large software from scratch.
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Job Description
GormalOne is a social impact Agri tech enterprise focused on farmer-centric projects. Our vision is to make farming highly profitable for the smallest farmer, thereby ensuring India's “Nutrition security”. The use of advanced technology drives our mission. Our technology will be highly user-friendly, for the majority of digitally naive farmers. We are looking for people keen to use their skills to transform farmers' lives. You will join a highly energized and competent team working on advanced global technologies such as OCR, facial recognition, and AI-led disease prediction amongst others.
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Location: Bengaluru
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- Work with cross-functional teams to ensure quality throughout the software development lifecycle
- Contribute to the design and architecture of high-quality, complex systems and software environments focusing on mobile development, automation, and quality aspects.
- Measure level of effort during sprint planning, work with the product team to commit to team delivery of sprint deliverables, validate acceptance criteria, and help define acceptance criteria with the product.
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Preferred Requirements
.-
- Experience of 2-5 years in App testing
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ecosystem.
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Good understating or hand's on in Kafka Admin / Apache Kafka Streaming.
Implementing, managing, and administering the overall hadoop infrastructure.
Takes care of the day-to-day running of Hadoop clusters
A hadoop administrator will have to work closely with the database team, network team, BI team, and application teams to make sure that all the big data applications are highly available and performing as expected.
If working with open source Apache Distribution, then hadoop admins have to manually setup all the configurations- Core-Site, HDFS-Site, YARN-Site and Map Red-Site. However, when working with popular hadoop distribution like Hortonworks, Cloudera or MapR the configuration files are setup on startup and the hadoop admin need not configure them manually.
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Ensure that the hadoop cluster is up and running all the time.
Monitoring the cluster connectivity and performance.
Manage and review Hadoop log files.
Backup and recovery tasks
Resource and security management
Troubleshooting application errors and ensuring that they do not occur again.
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