Intense Technologies Limited

BE / B Tech / MCA / MSc / ME / M Tech in Computer Science/Information Technology/ or related field.
Designing and developing NLP applications
Using effective text representation techniques and classification algorithms
Proven experience as an NLP Engineer or similar role
Understanding of NLP techniques for text representation, semantic extraction techniques, data structures and modeling
Working knowledge on pretrained NLP Models (ULMFiT, Transformer, BERT etc)
Ability to effectively design software architecture
Deep understanding of text representation techniques (such as n-grams, bag of words, sentiment analysis etc), statistics and classification algorithms

Proficiency with a deep learning framework such as TensorFlow, Keras or PyTorch) and libraries (like scikit-learn, Pandas and Numpy)
Proficiency with Python and basic libraries for machine learning.
Proficiency with IDEs – Jupyter Notebook, Spyder, Anaconda environments.
Familiarity with Linux (Centos and Ubuntu)
Ability to select hardware to run an ML model with the required latency
Excellent communication skills
Ability to work in a team
Outstanding analytical and problem-solving skills
Develop machine learning pipeline
Select appropriate datasets and data representation methods
Run machine learning tests and experiments
Perform statistical analysis and fine-tuning using test results
Train and retrain systems when necessary
Experience with Git based version control
Extend existing ML libraries and frameworks
Keep abreast of developments in the field
Research and implement MLOps tools, frameworks and platforms for our Data Science projects.

1. BE / ME / MCA
2. 8 to 10 years of industry experience.
3. Previous experience in Business / Requirements Analysis.
4. Proven experience in eliciting requirements, process documentations and testing.
5. Fundamental analytical and conceptual thinking skills.
6. Understanding business requirements.
7. Help design, document and maintain system processes.
8. Define configuration specifications and business analysis requirements.
9. Should influence stakeholders and determine acceptable solutions.
10. Perform quality assurance testing of the completed module / solution to ensure that it adheres to the business requirements.

We are on the hunt for a talented and experienced Director of Sales and Business Development to set up and lead our sales department in India. This is a global role. We need a self-motivated professional with proven SaaS sales experience and an outstanding track record. In this position, you will be responsible for meeting our annual sales targets within assigned global regions.

Your duties will include designing strategic SaaS sales plans, building partner networks globally, tweaking business models if required and assessing costs and competition. In addition to being an excellent communicator, our ideal candidate will also demonstrate exceptional negotiation and hunting skills.

Responsibilities:

• Passionately drive SaaS sales of the platform from the scratch.
• Build a global SaaS sales strategy from the ground up
• Design and implement strategic plans to reach sales targets.
• Cultivate lasting relationships with customers to grow customer loyalty.
• Develop and promote weekly, monthly and quarterly sales objectives.
• Draft detailed and accurate sales reports.
• Work with customers to better understand their business needs and goals and share that information back to the product teams.
• Assess costs, competition, and supply and demand to identify selling prices.
• Estimate sales volume and profit for current and new products.
• Establish a sales training program to train new employees.
• Meet with sales managers to assess company performance.
• Potentially recruit and build a strong sales team

Requirements:

• A minimum of 10 years’ experience in a similar role (2+ years SaaS sales).
• Inside sales experience in SaaS
• Low-code sales experience is a bonus.
• Experience in solution-driven sales approach
• In-depth knowledge of sales and business development techniques and best practices.
• Capacity to manage various projects and work to tight deadlines.
• Excellent negotiation and leadership skills.
• Outstanding written and verbal communication skills.