Business Developer

Pls Contact to sairam.akirala

@

kiaraglobalservices.com

798

981 217 8

❖    Experience & Knowledge:

❖    Minimum 2 years of experience in Sales/BD in department & Institutes & Industries.

❖    Previous experience in business-to-business (B2B) sales is a must.

•  Candidates with Market knowledge of Electrical Panel, Automation Solution, Energy Saving Solutions & IOT products will be prefered.
• People who are familiar with Electrical/Automation products of ABB /SIEMENS /SCHNEIDER /MITSUBISHI will be preferred.
•  Knowledge of LT / HT Switchgear & Electrical Control panels is preferable.
• Basic costing knowledge.
• Basic Taxation Knowledge.
• Qualification required is Diploma/ Btech in Electrical/Electronic .

❖   Skill

➢    Excellent organizational skills and a keen eye for detail

➢   Basic working in CRM / ERP.

➢   Should have good command in excel sheets / PPT etc.

➢    Excellent Communication Skill in English / Oriya is a must.

➢    Good Commercial & Negotiation Skill.

➢    Should be able to do presentations in front of customers / Clients.

➢    Excellent Follow Up / Negotiation and social problem-solving skills

Job Description

Cyber Threat Intelligence & Threat Hunting - Subject Matter Expert (B3-2)

Responsibilities:

Perform threat research, create actionable threat advisories, and derive hunting queries based on the evolving threat vectors.

Understand APT groups, Conduct deep dive technical analysis of cyber-attack tools, tactics, and procedures. Create hypothesis and perform active threat hunting.

Minimum Requirements:

10+ years of overall experience, 7+ years of experience in cyber threat intelligence, malware analysis (Reverse engineering)

Hands-on experience with writing threat hunting hypothesis & active threat hunting

Experience with YARA rule and OpenIOC signature creation.

Experience with multi-tiered mission-critical systems.

Experience in opensource sandbox and honeypots.

Preferred Certification

GIAC Cyber Threat Intelligence (GCTI)

C| TIA (Certified Threat Intelligence Analyst)

CCTIA by the NICCS

We are looking for a Node JS developer interested in building high performance back end using PostgreSQL. You will be responsible for architecting and building these applications, as well as coordinating with the teams responsible for other layers of the product infrastructure.

Building a product is a highly collaborative effort, and as such, a strong team player with a commitment to perfection is required.

Responsibilities

• Build Fin Tech logic with super clean code with appropriate error handling

• Integration of user-facing elements developed by front-end developers with server side logic
• Writing reusable, testable, and efficient code
• Design and implementation of low-latency, high-availability, and performant applications
• Implementation of security and data protection
• Integration of data storage solutions - Postgresql

 In-depth knowledge of keyword research & ASO and ability to align SEO strategies to support ASO

- Excellent understanding of ASO best practices, as well as knowledge of app store algorithms, optimization methods and effective strategies for growing app installs

- Experience managing and handling creative assets & metadata copies for Appstore, as well as for A/B testing

- In-depth knowledge of research principles and methods and experience in analyzing data

- App Localization experience.

- Critical thinker and problem-solving skills

- Strong communication skills - both written and spoken

• a genuine interest in SEO and/or digital marketing
• evidence of a strong personal online profile, e.g. a blog, website or connections and interactions on various social media platforms
• a commitment to keeping your technical skills and knowledge up to date
• an inquisitive mind which drives you to understand Google's algorithms and predict what changes might be coming
• a good understanding of search engines
• an ability to understand social media platforms and how to use them to distribute content, gain more links and build successful campaigns
• a good understanding of PR and how to get the right messages out there
• an understanding of how customers search, where they search and why they purchase something online
• a good understanding of the wider marketing context
• strong analytical skills for understanding ranking algorithms
• excellent communication skills to educate, inform, manipulate and mediate across a number of stakeholders in an organization
• an understanding of, or experience of, HTML coding, and preferably Javascript and PHP (PHP: Hypertext Preprocessor)
• proficiency in Microsoft Office and an excellent knowledge of Excel
• some experience and knowledge of web hosting.

Job Responsibilities:

• Apply your knowledge of ML and statistics to conceptualise, experiment, develop & deploy machine learning & deep learning systems.
• Understanding the business objectives & defining the right target metrics to track performance & progress.
• Defining & building datasets with the appropriate representation techniques for learning.
• Training & tuning models. Running evaluation & test experiments on the models.
• Build ML pipelines end to end. (Everything MLOps.)
• Building pipelines for the various stages.
• Deploying models.
• Troubleshooting issues with models in production.
• Reporting results of model performance in production.
• Retraining, performance logging & maintenance.
• Help the business with insights for better decision-making. You will build many predictive models for internal business operations
  you will derive insights from the trained models & data to help the product & business teams make better decisions.

Requirements:

• 2+ years of work experience as an ML engineer or Data Scientist with a Bachelors Degree in Computer science or related field
• Theoretical & practical knowledge of Machine Learning, Deep Learning and Statistical methods. (NLP Tasks, Recommender Systems, Predictive Modelling etc)
• Since Pepper is a content company, you will work on many interesting text based problems. Solid understanding of Natural Language Processing techniques with Deep Learning is a must for this role.
• Familiarity with the popular NLP applications and text representation architectures & techniques: text classification, machine translation, named entity recognition, summarisation, question answering, zero-shot learning etc.  Bag of Words, TF-IDF, Word2vec, GloVe, BERT, ELMo, GPT etc.
• Experience with ML frameworks (like Tensorflow, Keras, PyTorch) & libraries like Sklearn.
• Experience with ML infrastructure & shipping models.
• Excellent programming & algorithmic skills. Good understanding of Data Structures and algorithms (fluent in at least one object oriented programming language). Proficiency in Python is a must.
• Strong understanding of database systems & schema design. Proficient in SQL

Please let us know if you are interested in the above opening and if interested please let us know your

Current CTC :

Expected CTC :

Notice Period :

Relevant experience in  Machine Learning :

Relevant experience in Deep Learning:

Relevant experience in NLP Applications:

Regards

Ashwini

Skills:

Excellent verbal and written communication.

Strong leadership and management skills.

Must have excellent interpersonal skills.

Sound knowledge of MS Office, word and Email correspondence.

Knowledge of E-commerce online portals.

Full Stack Developer

Skills:

• Proficiency with JavaScript and HTML5

• Minimum 2+ years of hands-on experience with AngularJS and Angular Frameworks

• Experience with Java, JSON, Spring Boot and Hibernate 

• Experience with MYSQL databases

• Familiarity with Linux environments

• Experience with GIT 

• Hands on experience with AWS S3 is preferred

• Experience with web servers & application servers such as Apache and Nginx is good to have

Responsibilities: 

• Design and develop client-side and server-side architecture

• Develop and manage well-functioning database

• Implementation of approved user interface

• Design and construction of REST APIs

• Server management and deployment for the relevant environment