Finacle Developer

We are looking for a YouTube Channel Executive who is passionate about video content creation and has the technical and creative skills to manage and grow our YouTube channel. The ideal candidate will be responsible for creating engaging video content, optimizing our channel for growth, and implementing effective marketing strategies.

About the company

Job Description: 

Machine Learning / AI Engineer (with 3+ years of experience)

We are seeking a highly skilled and passionate Machine Learning / AI Engineer to join our newly established data science practice area. In this role, you will primarily focus on working with Large Language Models (LLMs) and contribute to building generative AI applications. This position offers an exciting opportunity to shape the future of AI technology while charting an interesting career path within our organization.

Responsibilities:

1. Develop and implement machine learning models: Utilize your expertise in machine learning and artificial intelligence to design, develop, and deploy cutting-edge models, with a particular emphasis on Large Language Models (LLMs). Apply your knowledge to solve complex problems and optimize performance.

2. Building generative AI applications: Collaborate with cross-functional teams to conceptualize, design, and build innovative generative AI applications. Work on projects that push the boundaries of AI technology and deliver impactful solutions to real-world problems.

3. Data preprocessing and analysis: Collect, clean, and preprocess large volumes of data for training and evaluation purposes. Conduct exploratory data analysis to gain insights and identify patterns that can enhance the performance of AI models.

4. Model training and evaluation: Develop robust training pipelines for machine learning models, incorporating best practices in model selection, feature engineering, and hyperparameter tuning. Evaluate model performance using appropriate metrics and iterate on the models to improve accuracy and efficiency.

5. Research and stay up to date: Keep abreast of the latest advancements in machine learning, natural language processing, and generative AI. Stay informed about industry trends, emerging techniques, and open-source libraries, and apply relevant findings to enhance the team's capabilities.

6. Collaborate and communicate effectively: Work closely with a multidisciplinary team of data scientists, software engineers, and domain experts to drive AI initiatives. Clearly communicate complex technical concepts and findings to both technical and non-technical stakeholders.

7. Experimentation and prototyping: Explore novel ideas, experiment with new algorithms, and prototype innovative solutions. Foster a culture of innovation and contribute to the continuous improvement of AI methodologies and practices within the organization.

Requirements:

1. Education: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Relevant certifications in machine learning, deep learning, or AI are a plus.

2. Experience: A minimum of 3+ years of professional experience as a Machine Learning / AI Engineer, with a proven track record of developing and deploying machine learning models in real-world applications.

3. Strong programming skills: Proficiency in Python and experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, pandas). Experience with cloud platforms (e.g., AWS, Azure, GCP) for model deployment is preferred.

4. Deep-learning expertise: Strong understanding of deep learning architectures (e.g., convolutional neural networks, recurrent neural networks, transformers) and familiarity with Large Language Models (LLMs) such as GPT-3, GPT-4, or equivalent.

5. Natural Language Processing (NLP) knowledge: Familiarity with NLP techniques, including tokenization, word embeddings, named entity recognition, sentiment analysis, text classification, and language generation.

6. Data manipulation and preprocessing skills: Proficiency in data manipulation using SQL and experience with data preprocessing techniques (e.g., cleaning, normalization, feature engineering). Familiarity with big data tools (e.g., Spark) is a plus.

7. Problem-solving and analytical thinking: Strong analytical and problem-solving abilities, with a keen eye for detail. Demonstrated experience in translating complex business requirements into practical machine learning solutions.

8. Communication and collaboration: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to diverse stakeholders

 Job Description for Sales Representative.

We are looking for a motivated and well-spoken inside sales representative to join our sales team. The inside sales representative will be responsible for developing new leads, communicating with customers, understanding their needs, and ensuring a smooth sales process. You should be able to close sales and meet targets.

To be successful as an inside sales representative you should be able to build instant rapport and achieve customer satisfaction. A top inside sales representative should also be very competitive and a good listener.

Inside Sales Representative Responsibilities:

Communicating with customers, making outbound calls to potential customers, and following up on leads.

Understanding customers' needs and identifying sales opportunities.

Answering potential customers' questions and sending additional information per email.

Keeping up with product and service information and updates.

Creating and maintaining a database of current and potential customers.

Explaining and demonstrating features of products and services.

Staying informed about competing products and services.

Upselling products and services.

Researching and qualifying new leads.

Closing sales and achieving sales targets

We're Hiring for Academic Advisor / Mentor for Bangalore Location

 Face to Face Interview is mandatory.

 Work from office.

Explaining organization’s services & deliverables and their importance to parents on call & one-to-one counselling session and closing sales.

 Helping clients in making action plans for entrance exams, counselling process with help of different technical tools and deliverables of company.

 Maintaining counselling records with help of CRM and tracking post sales services.

 Marketing and promoting career counselling related services for increasing office and seminar footfalls.

Interested Candidates kindly connect with below details with updated resume 

Thanks and Regards

Shreya K

HR-Executive

NOTE: Immediate joiner

Designation: Nodejs /React Js Developer ( Mern Stack)

Yrs of Exp : 3 - 8 yrs

Location : Bangalore

Job Description

Experience with Node.js, NPM package ecosystem, and Node.js web frameworks such as Express.js

Experience of front-end technologies such as HTML5,ReactJs, Stylus, Less, and CSS3

AWS exp is required

Integration of multiple data sources and databases into one system.Knowledge of Mongo DB, API, caching layer, proxies, and other third-party tools.

Working exp on Graph QL, Apollo Client

Designation: Nodejs /React Js Developer ( Mern Stack)

Yrs of Exp : 3 - 8 yrs

Location : Bangalore

Job Description

Experience with Node.js, NPM package ecosystem, and Node.js web frameworks such as Express.js

Experience of front-end technologies such as HTML5,ReactJs, Stylus, Less, and CSS3

AWS exp is required

Integration of multiple data sources and databases into one system.Knowledge of Mongo DB, API, caching layer, proxies, and other third-party tools.

Working exp on Graph QL, Apollo Client

Skills & Qualifications

• Proven experience as a Full Stack Developer or similar role
• Experience developing desktop and mobile applications
• Familiarity with common stacks
• Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery)
• Knowledge of multiple back-end languages (e.g. PHP, Java, Python) and JavaScript frameworks (e.g. Angular, React, Node.js)
• Knowledge of AWS Cloud (EC2,S3,Lambda,SES) 
• Familiarity with databases (e.g. MySQL, DynamoDB, MongoDB), web servers (e.g. Apache, Nginx, Tomcat) and UI/UX design
  Knowledge of code versioning tools (such as Git, SVN).
• Excellent communication and teamwork skills
• Great attention to detail
• Organizational skills
• An analytical mind
• Degree in Computer Science, or relevant field

• Benefits
• Being part of a startup that’s turning out to be a game-changer, you will be blessed with:
• Freedom to try new things.
• 2 Saturday’s off.
• Dress code – Casual.
• Take-it-when-you-need-it vacation.
• No. of working days:- 05