Product Lead

Name of the College: KGiSL Institute of Technology

College Profile: The main objective of KGiSL Institute of Technology is to

provide industry embedded education and to mold the students for leadership in

industry, government, and educational institutions; to advance the knowledge

base of the engineering professions; and to influence the future directions of

engineering education and practice. The ability to connect to the future

challenges and deliver industry-ready human resources is a credibility that

KGISL Educational Institutions have progressively excelled at. Industry -

readiness of its students is what will eventually elevate an institution to star

status and its competitiveness in the job market. Choice of such an institution

will depend on its proximity to industry, the relevance of its learning

programme to real-time industry and the active connect that a student will have

with industry professionals.

Job Title: Associate Professor

Departments:

● CSE

Qualification: 

● ME/M.Tech & Ph.D

Experience:

● Experience - 10-15 Years

Candidate Profile:

● Candidate should complete their PG & Ph.D in the relevant discipline

● Candidate should have Good Communication Skills

● Commitment towards work

Job Title: Senior Data Scientist

Location: Pune

Job Type: Full-Time

About TVARIT

TVARIT GmbH specializes in developing and delivering cutting-edge artificial intelligence (AI) solutions for the metal industry, including steel, aluminum, copper, cast iron, and more. Our software products empower customers to make intelligent, data-driven decisions, driving advancements in Predictive Quality (PsQ), Predictive Maintenance (PdM), and Energy Consumption Reduction (PsE), etc.

With a strong portfolio of renowned reference customers, state-of-the-art technology, a talented research team from prestigious universities, and recognition through esteemed awards such as the EU Horizon 2020 AI Prize, TVARIT is recognized as one of the most innovative AI companies in Germany and Europe.

We are looking for a self-motivated person with a positive "can-do" attitude and excellent oral and written communication skills in English.

About the Role

We are looking for a highly skilled and motivated Senior Data Scientist who is passionate about solving complex data problems and developing cutting-edge solutions. This role requires someone with a strong technical background in data science, with full-stack development exposure from requirement gathering to solution deployment. The ideal candidate will be comfortable working as an individual contributor and as an active team member.

Key Responsibilities

· Translate business challenges into ML solutions by understanding customer needs and the broader context.

· Perform exploratory data analysis (EDA) and feature engineering on large-scale datasets.

· Write clean, efficient, and maintainable Python code for data processing, modeling, and analysis, following MLOps best practices.

· Build, optimize, deploy, and monitor scalable machine learning models and pipelines on cloud platforms (Azure preferred; AWS/GCP is a plus)

· Actively participate in code reviews, technical discussions, and knowledge-sharing sessions to drive innovation and best practices.

· Lead client discussions and present actionable insights and recommendations to stakeholders effectively.

· Mentor junior data scientists, providing guidance on model development, best practices, and technical problem-solving.

Qualifications

· Bachelor’s or master's degree in Metallurgy, mechanical, IT, Computer, or a related field from IIT, NIT, or top university.

· 4+ years of experience in data science and machine learning.

· Experience in the metal industry, manufacturing industry, or similar industry exposure

Technical Skills

· Strong Python programming skills with experience in libraries like Pandas, Scikit-learn, TensorFlow, or PyTorch.

· Strong foundation in ML & AI, covering statistical analysis, time series forecasting, deep learning, and optimization, with expertise in ML techniques like Random Forest, Gradient Boosting, Neural Networks, SVM, Clustering, PCA, Reinforcement Learning and and optimization algorithms.

· Proficiency in cloud platforms such as Azure [Preferred], AWS, or GCP.

· Good to have experience with real-time AI model deployment in industrial environments [On-premises, cloud or edge]

· Familiar with SQL and NoSQL databases.

· Understanding of MLOps, including model versioning, monitoring, and deployment.

· Good to have knowledge of deep learning architectures and techniques for computer vision, NLP, and generative AI is plus

· Strong analytical and problem-solving skills with a structured approach to debugging and optimization.

· Effective communicator and team collaborator in agile, fast-paced environments.

· Ability to work in a fast-paced, agile environment and adapt to changing priorities.

Data Strategy and Planning:

Collaborate with stakeholders to develop and implement data management strategies aligned with business objectives.

Define data standards, policies, and procedures to ensure consistent and accurate data collection and storage.

Data Collection and Integration:

Identify and assess various data sources, both internal and external, to gather relevant and reliable data.

Design and implement data collection methods and processes to ensure data is captured efficiently.

Oversee data integration initiatives to consolidate data from different sources into a unified database.

Data Quality Assurance:

Develop and enforce data quality standards to ensure the accuracy, completeness, and consistency of data.

Implement data validation processes and routines to identify and rectify data discrepancies or errors.

Database Management:

Maintain and optimize data storage systems, including databases, data warehouses, and data lakes.

Ensure data security and compliance with relevant data protection regulations.

Data Analysis and Reporting:

Collaborate with analysts to provide clean and structured data for analysis.

Assist in creating data visualizations and reports to communicate insights and findings to stakeholders.

Team Collaboration:

Work closely with IT teams, data scientists, analysts, and other stakeholders to define data requirements and resolve technical issues.

Provide guidance and training to team members regarding data management best practices.

🌍 Job Title: International Sales Executive

📍 Location: Kothnur, Bangalore

🕒 Experience: 1 to 2 years in International Sales

🎓 Qualification: 12th Pass and Above

🗣️ Language Requirement: Excellent English Communication Skills

Job Description:

We are hiring dynamic and enthusiastic International Sales Executives to join our growing team in Kothnur, Bangalore. If you have prior experience in handling international clients and a passion for sales, we would love to hear from you!

Responsibilities:

• Engage with international clients over calls and emails
• Understand customer needs and offer the right product or service
• Achieve monthly and quarterly sales targets
• Maintain records of leads, customer interactions, and sales
• Provide excellent post-sale support and build lasting relationships
• Coordinate with internal teams to ensure timely delivery of services

Requirements:

• Minimum 1 to 2 years of experience in international sales or outbound process
• Excellent verbal and written communication in English
• Willingness to work in night shifts (if applicable)
• Confident, goal-oriented, and target-driven attitude
• Strong customer service skills and a persuasive personality
• Basic computer knowledge (MS Office, CRM tools)

What We Offer:

• Competitive salary with performance incentives
• Growth and learning opportunities
• Positive and supportive work environment

Role: Oracle HCM Functional

Location: Hyderabad

Responsibilities

- As a Subject Matter Expert:

1. Should have Strong functional Experience (Configuration & Solution) in HCM Cloud

·        Must Have: Benefits, Compensation

2. Should have around 6 yrs experience working in Support Projects

3. Good understanding of the HCM Business Processes.

4. Good experience in handling Clients on - Requirements, Solution, Support Issues, Demo

5. Good experience working on Requirements, Functional Design documents & End to end Functional Testing.

6. Understanding of Offshore – Onsite Delivery model is an advantage.

7. Though not a complete Technical – should be able to query the data for analysis/debug.

8. Generic:

a. Strong communication and Client Interaction skills.

b. Should be an Active Team Player with a good attitude and aggressive mind set,

c. Ability to learn quickly and deliver.

9. Experience: around 6 years

• Meeting with the design team to review website and application requirements.
• Setting tasks and development goals.
• Configuring the company SharePoint systems to specified requirements.
• Developing new web components using XML, .NET, SQL, and C#.
• Designing, coding, and implementing scalable applications.
• Extending SharePoint functionality with forms, web parts, and application technologies.

The Lead Generation Intern is an entry level position with the responsibility of enabling new business through high-quality leads, prospects, and connections with high revenue potential in International Market.

Responsibilities:-

• You’ll be responsible for generating and nurturing leads for the organization using different marketing channels.
• Generate new leads using cold calling, email marketing, social media, and other relevant marketing channels.
• Classify hot, warm, and cold leads based on their need, budget, and decision-making capabilities. Accordingly, take the necessary steps to convert hot leads and nurture warm and cold leads.
• Organize and keep the lead status updated in the CRM software.
• Understand how the sales process works and manage the sales pipeline. Adhere to the process set by the management
• Participate in webinars, in-person events, conferences and network with peers and target audience to identify sales opportunities.
• Understand the pain points faced by the prospects during communication. Identify if they’re looking for specific features.
• Check for competitor products mentioned/used by leads and prospects during communication and the intent behind using them.

Desired Candidate Profile:-

• Interpersonal & Communication Abilities
• Good knowledge of internet searching, profile/data searching
• Strong communication skills are indispensable for Lead Generation Intern
• Computer Literacy
• A street smart candidate
• Must be active on social media platforms (e.g. Linkedin )
• Amazing research skills
• Basic knowledge of Lead Generation tools will be a plus

Rejolut - As a Career Differentiator

 - We are a young and dynamic team who are obsessed with solving futuristic and evolutionary business problems at scale with the next generation technology like blockchain, crypto and machine learning. Focuses on empowering people across the globe to be technically efficient, making advancements in technology and providing new capabilities that were previously thought impossible.

- We provide exposure to higher learning opportunities so that you can work on complex and cutting edge technology like React, React Native, Flutter, NodeJS, Python, Go, Svelte, WebAssembly. Strong expertise in  blockchain and crypto technology and working with the networks like Hedera Hashgraph, Tezos, BlockApps, Algorand, Cardano.

- We maintain high end transparency with clients and employees as Visibility unlocks Efficiency and trust unlocks Visibility.

- Company is backed by two technology Co-founders, well-versed with consumer applications and their work has been downloaded millions of times and a Sales/Marketing Co-founder, exceptionally well at managing relationships, networking and business collaborations. All three comes with a diverse and unconventional background in thought and technology leadership positions in companies like Samsung, Purplle, Loylty Rewardz.

Benefits :

> Health Insurance

> Work from Home

> Fast growth and more visibility into the company

> Experience to work on the latest technology

> Competitive Learning Environment with supportive co-workers

> Employee friendly HR Policies

> Paid leaves up to certain limits

> Competitive salaries & Bonuses

> Liberal working atmosphere

> Get mentored by the best in the industry

Schedule:

Day Shift

Monday to Friday