Data Engineer

at PGP Glass Pvt Ltd

Data Engineer

PGP Glass Pvt Ltd

Data Engineer at PGP Glass Pvt Ltd · Vadodara · 2 - 4 years · ₹6L - ₹12L / yr · Profitable · Posted 20 Dec 2023

Data Engineer

at PGP Glass Pvt Ltd

Posted by Animesh Srivastava

2 - 4 yrs

₹6L - ₹12L / yr

Vadodara

Skills

IT infrastructure

Artificial Intelligence (AI)

DevOps

Key Responsibilities:-

• Collaborate with Data Scientists to test and scale new algorithms through pilots and later industrialize the solutions at scale to the comprehensive fashion network of the Group

• Influence, build and maintain the large-scale data infrastructure required for the AI projects, and integrate with external IT infrastructure/service to provide an e2e solution

• Leverage an understanding of software architecture and software design patterns to write scalable, maintainable, well-designed and future-proof code

• Design, develop and maintain the framework for the analytical pipeline

• Develop common components to address pain points in machine learning projects, like model lifecycle management, feature store and data quality evaluation

• Provide input and help implement framework and tools to improve data quality

• Work in cross-functional agile teams of highly skilled software/machine learning engineers, data scientists, designers, product managers and others to build the AI ecosystem within the Group

• Deliver on time, demonstrating a strong commitment to deliver on the team mission and agreed backlog

Key Responsibilities:-

• Collaborate with Data Scientists to test and scale new algorithms through pilots and later industrialize the solutions at scale to the comprehensive fashion network of the Group

• Influence, build and maintain the large-scale data infrastructure required for the AI projects, and integrate with external IT infrastructure/service to provide an e2e solution

• Leverage an understanding of software architecture and software design patterns to write scalable, maintainable, well-designed and future-proof code

• Design, develop and maintain the framework for the analytical pipeline

• Develop common components to address pain points in machine learning projects, like model lifecycle management, feature store and data quality evaluation

• Provide input and help implement framework and tools to improve data quality

• Work in cross-functional agile teams of highly skilled software/machine learning engineers, data scientists, designers, product managers and others to build the AI ecosystem within the Group

• Deliver on time, demonstrating a strong commitment to deliver on the team mission and agreed backlog

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About PGP Glass Pvt Ltd

Founded :

1984

Type :

Product

Size :

5000+

Stage :

Profitable

About

PGP Glass Pvt Ltd is a global specialist in design, production and decoration of premium glass packaging (flaconnage) equipped with end-to-end glass packaging solutions in over 50 countries under the globally recognized brand name of "PGP Glass". The company is the largest specialty glass player in Asia and one of the fastest growing companies in the world. It is a one-stop-shop for glass packaging solutions across Pharmaceutical, Cosmetics & Perfumery, and Specialty Liquor, Food & Beverage businesses. With best in class manufacturing facilities and configuration of technology, design, and layout, PGP Glass aims to meet and exceed its customers' expectations. The Company is on a mission to become the world's most preferred supplier of glass flaconnage through continuous value addition, superior quality and unmatched service. (formerly Piramal Glass)

PGP Glass Pvt Ltd is a global specialist in design, production and decoration of premium glass packaging (flaconnage) equipped with end-to-end glass packaging solutions in over 50 countries under the globally recognized brand name of "PGP Glass". The company is the largest specialty glass player in Asia and one of the fastest growing companies in the world. It is a one-stop-shop for glass packaging solutions across Pharmaceutical, Cosmetics & Perfumery, and Specialty Liquor, Food & Beverage businesses. With best in class manufacturing facilities and configuration of technology, design, and layout, PGP Glass aims to meet and exceed its customers' expectations. The Company is on a mission to become the world's most preferred supplier of glass flaconnage through continuous value addition, superior quality and unmatched service. (formerly Piramal Glass)

Read more

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Basic understanding of databases such as PostgreSQL, MongoDB, Firebase, Firestore, Supabase, or Redis.
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Good analytical thinking and problem-solving ability.
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Eagerness to learn new tools, AI platforms, system design concepts, GCP services, and cloud technologies.
Good communication skills to work with technical and non-technical teams.
Ownership mindset and willingness to take responsibility for assigned tasks.
Comfortable working in a fast-paced startup environment.

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Familiarity with AI APIs such as OpenAI, Gemini, Claude, or similar platforms.
Basic understanding of prompt engineering and LLM-based workflows.
Exposure to LangChain, LlamaIndex, embeddings, vector databases, or retrieval-augmented generation.
Basic experience with GCP services such as Cloud Run, Cloud Functions, Firebase, Firestore, Cloud Storage, Cloud SQL, BigQuery, Pub/Sub, Cloud Logging, or Cloud Monitoring.
Exposure to Google AI tools, Vertex AI, Gemini API, or AI-related services on GCP.
Experience with automation tools, workflow builders, webhooks, or integration platforms.
Exposure to Docker, CI/CD pipelines, GitHub Actions, deployment workflows, or cloud-based release processes.
Experience working with logs, monitoring tools, API testing tools, or debugging platforms.
Familiarity with Postman, Git, GitHub, Notion, Zoho, Slack, or similar productivity tools.
Experience building chatbots, AI assistants, internal tools, or automated workflows.
Personal, academic, internship, or open-source projects related to AI, automation, backend systems, GCP, or cloud tools.
Interest in SaaS, EdTech, AI-powered products, and startup environments.

What You’ll Gain

Hands-on experience building AI-powered systems in a real startup environment.
Practical exposure to AI APIs, LLM workflows, automation systems, backend services, and GCP cloud infrastructure.
Mentorship from senior engineers and product leaders.
Experience working across AI, backend engineering, databases, APIs, integrations, deployment, system monitoring, and cloud operations.
Opportunity to contribute to real product features used by learners, educators, schools, and institutions.
Exposure to SaaS product development, EdTech workflows, AI-driven business solutions, and GCP-based production systems.
Learning culture that encourages experimentation, feedback, and continuous improvement.
Opportunity to understand how AI systems are designed, deployed, monitored, scaled, and improved in production.
Access to Cult Elite and Cult Play Pass, offering wellness and lifestyle benefits to keep you energized and inspired.

Compensation

Competitive salary with performance-based bonuses.
Equity ownership through ESOPs — own a piece of the company you help build.
Flexible remote work options with occasional Bengaluru office meetups.
Health and wellness perks, including Cult Elite membership and Cult Play Pass for employees.
Learning and development support to help you grow in AI systems, backend engineering, automation, SaaS, and GCP cloud technologies.
Team retreats, virtual hangouts, and a collaborative work culture.

We are looking for a AI System Engineer who is eager to build a career in AI systems, automation, backend workflows, cloud infrastructure, and intelligent product operations. Apply in https://gosuperedtech.com/career/ai-system-engineer

Click "Apply Now" in https://gosuperedtech.com/career/ai-system-engineer to apply

Role Overview

We are looking for a Junior AI System Engineer who is eager to build a career in AI systems, automation, backend workflows, cloud infrastructure, and intelligent product operations.

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This role is ideal if you are curious about AI, comfortable with technical problem-solving, and interested in building reliable systems that connect software, data, cloud infrastructure, automation, and intelligent workflows.

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Support the development and maintenance of AI-powered systems, tools, and workflows.
Assist in integrating AI APIs, LLM platforms, automation tools, and backend services into GoSuper products.
Work with OpenAI, Gemini, Claude, or similar AI platforms under the guidance of senior engineers.
Support AI and backend workflows deployed on Google Cloud Platform — GCP.
Assist with GCP-based services such as Cloud Run, Compute Engine, Cloud Functions, Cloud Storage, Firebase, Firestore, Cloud SQL, BigQuery, Pub/Sub, Cloud Logging, and Cloud Monitoring, based on project needs.
Help build AI workflows for content generation, chatbot systems, smart recommendations, internal automation, and productivity tools.
Support backend integrations using Node.js, Python, REST APIs, webhooks, and third-party services.
Assist in designing and maintaining system workflows that connect databases, applications, AI models, cloud services, and business tools.
Work with databases such as PostgreSQL, MongoDB, Firebase, Firestore, Supabase, or similar platforms.
Help test AI outputs, validate workflows, debug issues, and improve system reliability.
Monitor system performance, API usage, errors, logs, workflow failures, and cloud service health.
Support deployment, configuration, and maintenance of AI-enabled product features on GCP.
Collaborate with product managers, developers, designers, QA teams, and business teams to understand requirements and deliver working solutions.
Participate in daily standups, sprint planning, technical discussions, and team meetings.
Document AI workflows, system logic, API integrations, prompts, GCP configurations, deployment steps, and troubleshooting processes.
Continuously learn and apply best practices in AI systems, backend engineering, automation, GCP cloud infrastructure, and production support.

What We’re Looking For

6 months to 1 year of experience in AI systems, backend development, software engineering, automation, DevOps support, cloud support, system integration, or relevant internship/project experience.
Basic understanding of AI tools, LLMs, APIs, automation workflows, and software systems.
Working knowledge of JavaScript, TypeScript, or Python.
Basic backend development experience with Node.js, Express, NestJS, FastAPI, or similar frameworks.
Basic understanding of Google Cloud Platform — GCP or willingness to learn GCP-based deployment and monitoring workflows.
Understanding of REST APIs, webhooks, third-party integrations, and data flow between systems.
Interest in AI APIs, prompt workflows, chatbot systems, automation tools, and intelligent product features.
Basic understanding of databases such as PostgreSQL, MongoDB, Firebase, Firestore, Supabase, or Redis.
Ability to debug technical issues across APIs, workflows, logs, backend services, and cloud deployments.
Good analytical thinking and problem-solving ability.
Ability to write clear documentation for workflows, integrations, cloud configurations, and technical processes.
Eagerness to learn new tools, AI platforms, system design concepts, GCP services, and cloud technologies.
Good communication skills to work with technical and non-technical teams.
Ownership mindset and willingness to take responsibility for assigned tasks.
Comfortable working in a fast-paced startup environment.

Nice to Have

Familiarity with AI APIs such as OpenAI, Gemini, Claude, or similar platforms.
Basic understanding of prompt engineering and LLM-based workflows.
Exposure to LangChain, LlamaIndex, embeddings, vector databases, or retrieval-augmented generation.
Basic experience with GCP services such as Cloud Run, Cloud Functions, Firebase, Firestore, Cloud Storage, Cloud SQL, BigQuery, Pub/Sub, Cloud Logging, or Cloud Monitoring.
Exposure to Google AI tools, Vertex AI, Gemini API, or AI-related services on GCP.
Experience with automation tools, workflow builders, webhooks, or integration platforms.
Exposure to Docker, CI/CD pipelines, GitHub Actions, deployment workflows, or cloud-based release processes.
Experience working with logs, monitoring tools, API testing tools, or debugging platforms.
Familiarity with Postman, Git, GitHub, Notion, Zoho, Slack, or similar productivity tools.
Experience building chatbots, AI assistants, internal tools, or automated workflows.
Personal, academic, internship, or open-source projects related to AI, automation, backend systems, GCP, or cloud tools.
Interest in SaaS, EdTech, AI-powered products, and startup environments.

What You’ll Gain

Hands-on experience building AI-powered systems in a real startup environment.
Practical exposure to AI APIs, LLM workflows, automation systems, backend services, and GCP cloud infrastructure.
Mentorship from senior engineers and product leaders.
Experience working across AI, backend engineering, databases, APIs, integrations, deployment, system monitoring, and cloud operations.
Opportunity to contribute to real product features used by learners, educators, schools, and institutions.
Exposure to SaaS product development, EdTech workflows, AI-driven business solutions, and GCP-based production systems.
Learning culture that encourages experimentation, feedback, and continuous improvement.
Opportunity to understand how AI systems are designed, deployed, monitored, scaled, and improved in production.
Access to Cult Elite and Cult Play Pass, offering wellness and lifestyle benefits to keep you energized and inspired.

Compensation

Competitive salary with performance-based bonuses.
Equity ownership through ESOPs — own a piece of the company you help build.
Flexible remote work options with occasional Bengaluru office meetups.
Health and wellness perks, including Cult Elite membership and Cult Play Pass for employees.
Learning and development support to help you grow in AI systems, backend engineering, automation, SaaS, and GCP cloud technologies.
Team retreats, virtual hangouts, and a collaborative work culture.

We are looking for a AI System Engineer who is eager to build a career in AI systems, automation, backend workflows, cloud infrastructure, and intelligent product operations. Apply in https://gosuperedtech.com/career/ai-system-engineer

Read more

AI Engineer (Intern)

Ashish Singh

Posted by Ashish Singh

Remote only

0 - 1 yrs

₹1L - ₹2L / yr

Artificial Intelligence (AI)

Python

About the Job :

We are looking for a passionate and driven AI Intern to join our dynamic team. As an intern, you will have the opportunity to work on real-world projects, develop AI models, and collaborate with experienced professionals in the field. This internship is designed to provide hands-on experience in AI and machine learning, offering you the chance to contribute to impactful projects while enhancing your skills.

Job Description:

We are seeking a talented Artificial Intelligence Specialist to join our dynamic team. As an AI Specialist, you will be responsible for developing, implementing, and optimizing AI models and algorithms. You will collaborate closely with cross-functional teams to integrate AI capabilities into our products and services. The ideal candidate should have a strong background in machine learning, deep learning, and natural language processing, with a passion for applying AI to real-world problems.

Responsibilities:

Design, develop, and deploy AI models and algorithms.
Conduct data analysis and pre-processing to prepare data for modeling.
Implement and optimize machine learning algorithms.
Collaborate with software engineers to integrate AI models into production systems.
Evaluate and improve the performance of existing AI models.
Stay updated with the latest advancements in AI research and apply them to enhance our products.
Provide technical guidance and mentorship to junior team members.

Requirements:

Any Graduate / Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field; Master's degree preferred.
Proven experience in developing and implementing machine learning models and algorithms.
Strong programming skills in languages such as Python, R, or Java.

Benefits :

Internship Certificate
Letter of Recommendation
Performance-Based Stipend
Part-time work from home (2-3 hours per day)
5 days a week, fully flexible shift

About the Job :

We are looking for a passionate and driven AI Intern to join our dynamic team. As an intern, you will have the opportunity to work on real-world projects, develop AI models, and collaborate with experienced professionals in the field. This internship is designed to provide hands-on experience in AI and machine learning, offering you the chance to contribute to impactful projects while enhancing your skills.

Job Description:

We are seeking a talented Artificial Intelligence Specialist to join our dynamic team. As an AI Specialist, you will be responsible for developing, implementing, and optimizing AI models and algorithms. You will collaborate closely with cross-functional teams to integrate AI capabilities into our products and services. The ideal candidate should have a strong background in machine learning, deep learning, and natural language processing, with a passion for applying AI to real-world problems.

Responsibilities:

Design, develop, and deploy AI models and algorithms.
Conduct data analysis and pre-processing to prepare data for modeling.
Implement and optimize machine learning algorithms.
Collaborate with software engineers to integrate AI models into production systems.
Evaluate and improve the performance of existing AI models.
Stay updated with the latest advancements in AI research and apply them to enhance our products.
Provide technical guidance and mentorship to junior team members.

Requirements:

Any Graduate / Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field; Master's degree preferred.
Proven experience in developing and implementing machine learning models and algorithms.
Strong programming skills in languages such as Python, R, or Java.

Benefits :

Internship Certificate
Letter of Recommendation
Performance-Based Stipend
Part-time work from home (2-3 hours per day)
5 days a week, fully flexible shift

Read more

Artificial Intelligence with ML Intern

Sachin Singh

Posted by Sachin Singh

The recruiter has not been active on this job recently. You may apply but please expect a delayed response.

Remote only

0 - 1 yrs

₹12000 - ₹15000 / mo

Artificial Intelligence (AI)

Machine Learning (ML)

About the Internship

Nexora Group is looking for passionate and innovative students interested in Artificial Intelligence (AI) and Machine Learning (ML). This internship offers an opportunity to work on real-world AI projects, explore machine learning techniques, and gain hands-on experience with emerging technologies that are transforming industries worldwide.

Interns will collaborate with mentors, work on practical assignments, and develop industry-relevant skills in AI, ML, data-driven decision-making, and intelligent systems.

Key Responsibilities

Assist in developing and testing Machine Learning models.
Work on AI-based applications and automation projects.
Analyze datasets and prepare data for model training.
Research emerging AI and Machine Learning technologies.
Evaluate model performance and improve accuracy.
Create reports and documentation for assigned projects.
Participate in project discussions, training sessions, and team meetings.
Support the development of innovative AI-driven solutions.

Required Skills

Basic knowledge of Python programming.
Understanding of Artificial Intelligence and Machine Learning concepts.
Familiarity with data analysis and statistics.
Knowledge of Machine Learning libraries such as Scikit-learn, TensorFlow, or PyTorch is a plus.
Strong analytical and problem-solving skills.
Ability to learn new technologies quickly.
Good communication and teamwork skills.

Eligibility

B.Tech, M.Tech, BCA, MCA, B.Sc., M.Sc., or related disciplines.
Students pursuing Computer Science, Artificial Intelligence, Data Science, Information Technology, Mathematics, or related fields.
Freshers and recent graduates are encouraged to apply.

What You Will Learn

✅ Artificial Intelligence Fundamentals

✅ Machine Learning Algorithms

✅ Data Preprocessing & Model Training

✅ Generative AI Concepts

✅ Predictive Analytics

✅ AI Project Development

✅ Industry-Oriented Problem Solving

Benefits

✅ Internship Completion Certificate

✅ Letter of Recommendation (Performance-Based)

✅ Hands-on AI & ML Project Experience

✅ Professional Mentorship & Guidance

✅ Resume & LinkedIn Profile Enhancement

✅ Portfolio Development Support

✅ Exposure to Real-World AI Applications

About the Internship

Nexora Group is looking for passionate and innovative students interested in Artificial Intelligence (AI) and Machine Learning (ML). This internship offers an opportunity to work on real-world AI projects, explore machine learning techniques, and gain hands-on experience with emerging technologies that are transforming industries worldwide.

Interns will collaborate with mentors, work on practical assignments, and develop industry-relevant skills in AI, ML, data-driven decision-making, and intelligent systems.

Key Responsibilities

Assist in developing and testing Machine Learning models.
Work on AI-based applications and automation projects.
Analyze datasets and prepare data for model training.
Research emerging AI and Machine Learning technologies.
Evaluate model performance and improve accuracy.
Create reports and documentation for assigned projects.
Participate in project discussions, training sessions, and team meetings.
Support the development of innovative AI-driven solutions.

Required Skills

Basic knowledge of Python programming.
Understanding of Artificial Intelligence and Machine Learning concepts.
Familiarity with data analysis and statistics.
Knowledge of Machine Learning libraries such as Scikit-learn, TensorFlow, or PyTorch is a plus.
Strong analytical and problem-solving skills.
Ability to learn new technologies quickly.
Good communication and teamwork skills.

Eligibility

B.Tech, M.Tech, BCA, MCA, B.Sc., M.Sc., or related disciplines.
Students pursuing Computer Science, Artificial Intelligence, Data Science, Information Technology, Mathematics, or related fields.
Freshers and recent graduates are encouraged to apply.

What You Will Learn

✅ Artificial Intelligence Fundamentals

✅ Machine Learning Algorithms

✅ Data Preprocessing & Model Training

✅ Generative AI Concepts

✅ Predictive Analytics

✅ AI Project Development

✅ Industry-Oriented Problem Solving

Benefits

✅ Internship Completion Certificate

✅ Letter of Recommendation (Performance-Based)

✅ Hands-on AI & ML Project Experience

✅ Professional Mentorship & Guidance

✅ Resume & LinkedIn Profile Enhancement

✅ Portfolio Development Support

✅ Exposure to Real-World AI Applications

Read more

Data Engineer-GenAI

Hema Dekonda

Posted by Hema Dekonda

Bengaluru (Bangalore), Hyderabad, Mumbai, Gurugram

4 - 9 yrs

₹15L - ₹45L / yr

Data engineering

Python

Apache Spark

Generative AI

Experience: 4+ Years

Location: India (Bangalore, Hyderabad/ Mumbai/ Gurugram)

Role Summary:

AuxoAI is seeking a Senior GenAI Data Engineer with strong fundamentals in data engineering and end-to-end solution design. In this role, you will design and develop production-grade pipelines, leverage GenAI tools (Copilot, Claude, Gemini) to boost development productivity, and define engineering best practices across complex data environments. This is a highly collaborative, cross-functional role — ideal for someone who thrives at the intersection of data engineering excellence and GenAI-powered innovation.

Responsibilities:

• Architect and develop end-to-end data pipelines — from ingestion to transformation to consumption

• Lead solutioning and integration for complex data workflows (batch and streaming)

• Use AI-assisted coding tools (e.g., GitHub Copilot, Claude, Gemini) to accelerate code development, refactoring, and debugging

• Implement robust data quality, testing, lineage, and governance frameworks

• Drive best practices across pipeline performance, reusability, and scalability

• Mentor junior engineers and contribute to capability building within the data team

Requirement:

• 4+ years of experience in data engineering, with expertise in:

o End-to-end pipeline development (batch and streaming)

o Data modeling (dimensional, Data Vault, OBT)

o ETL/ELT design patterns, performance tuning, and optimization

o SQL (Advanced) and Python (Advanced)

o Apache Spark for large-scale data processing

• Proficiency using AI coding tools (e.g., Copilot, Claude, Gemini) to enhance productivity and code quality

• Strong understanding of data quality frameworks, unit testing, and CI/CD for data workflows

• Experience with Google Cloud Platform services: o BigQuery, Dataflow, Cloud Composer, Pub/Sub, Dataproc, Vertex AI

• Exposure to finance or sales data domains

• Familiarity with Databricks, Delta Lake, or Apache Iceberg

• GCP Professional Data Engineer certification is a plus

Experience: 4+ Years

Location: India (Bangalore, Hyderabad/ Mumbai/ Gurugram)

Role Summary:

AuxoAI is seeking a Senior GenAI Data Engineer with strong fundamentals in data engineering and end-to-end solution design. In this role, you will design and develop production-grade pipelines, leverage GenAI tools (Copilot, Claude, Gemini) to boost development productivity, and define engineering best practices across complex data environments. This is a highly collaborative, cross-functional role — ideal for someone who thrives at the intersection of data engineering excellence and GenAI-powered innovation.

Responsibilities:

• Architect and develop end-to-end data pipelines — from ingestion to transformation to consumption

• Lead solutioning and integration for complex data workflows (batch and streaming)

• Use AI-assisted coding tools (e.g., GitHub Copilot, Claude, Gemini) to accelerate code development, refactoring, and debugging

• Implement robust data quality, testing, lineage, and governance frameworks

• Drive best practices across pipeline performance, reusability, and scalability

• Mentor junior engineers and contribute to capability building within the data team

Requirement:

• 4+ years of experience in data engineering, with expertise in:

o End-to-end pipeline development (batch and streaming)

o Data modeling (dimensional, Data Vault, OBT)

o ETL/ELT design patterns, performance tuning, and optimization

o SQL (Advanced) and Python (Advanced)

o Apache Spark for large-scale data processing

• Proficiency using AI coding tools (e.g., Copilot, Claude, Gemini) to enhance productivity and code quality

• Strong understanding of data quality frameworks, unit testing, and CI/CD for data workflows

• Experience with Google Cloud Platform services: o BigQuery, Dataflow, Cloud Composer, Pub/Sub, Dataproc, Vertex AI

• Exposure to finance or sales data domains

• Familiarity with Databricks, Delta Lake, or Apache Iceberg

• GCP Professional Data Engineer certification is a plus

Read more

Artificial Intelligence with ML Internship

Sachin Singh

Posted by Sachin Singh

The recruiter has not been active on this job recently. You may apply but please expect a delayed response.

Remote only

0 - 1 yrs

₹12000 - ₹18000 / mo

Artificial Intelligence (AI)

Machine Learning (ML)

About The Nexora Group Inc.

The Nexora Group Inc. is a technology-driven organization focused on developing intelligent software solutions using Artificial Intelligence, Machine Learning, and advanced data technologies. Our teams work on innovative projects involving data analysis, predictive modeling, automation systems, and AI-powered applications designed to solve real-world business problems.

We are seeking passionate and motivated Artificial Intelligence & Machine Learning Interns who want to gain hands-on experience working on practical AI development projects.

Internship Responsibilities

Assist in developing and implementing machine learning models
Work on data preprocessing, data analysis, and model training
Support AI projects involving predictive analytics, automation, and intelligent systems
Use Python libraries such as NumPy, Pandas, Scikit-learn, or TensorFlow
Participate in testing and improving model performance
Collaborate with development teams on AI-based applications
Document project workflows and research findings

Required Skills

Basic knowledge of Python programming
Understanding of Machine Learning concepts
Familiarity with data analysis and statistics
Basic experience with libraries such as Pandas, NumPy, or Scikit-learn
Interest in Artificial Intelligence technologies
Good analytical and problem-solving skills

Preferred Qualifications

Students or recent graduates in Computer Science, Artificial Intelligence, Data Science, or related fields
Basic knowledge of Deep Learning or Neural Networks
Familiarity with TensorFlow, PyTorch, or similar frameworks is a plus
Understanding of data visualization tools is beneficial
Experience with Git or version control systems is an advantage

What Interns Will Gain

Hands-on experience working on AI and machine learning projects
Exposure to real-world datasets and model development
Opportunity to build a strong AI project portfolio
Mentorship from experienced developers and data scientists
Internship completion certificate based on performance and participation

About The Nexora Group Inc.

The Nexora Group Inc. is a technology-driven organization focused on developing intelligent software solutions using Artificial Intelligence, Machine Learning, and advanced data technologies. Our teams work on innovative projects involving data analysis, predictive modeling, automation systems, and AI-powered applications designed to solve real-world business problems.

We are seeking passionate and motivated Artificial Intelligence & Machine Learning Interns who want to gain hands-on experience working on practical AI development projects.

Internship Responsibilities

Assist in developing and implementing machine learning models
Work on data preprocessing, data analysis, and model training
Support AI projects involving predictive analytics, automation, and intelligent systems
Use Python libraries such as NumPy, Pandas, Scikit-learn, or TensorFlow
Participate in testing and improving model performance
Collaborate with development teams on AI-based applications
Document project workflows and research findings

Required Skills

Basic knowledge of Python programming
Understanding of Machine Learning concepts
Familiarity with data analysis and statistics
Basic experience with libraries such as Pandas, NumPy, or Scikit-learn
Interest in Artificial Intelligence technologies
Good analytical and problem-solving skills

Preferred Qualifications

Students or recent graduates in Computer Science, Artificial Intelligence, Data Science, or related fields
Basic knowledge of Deep Learning or Neural Networks
Familiarity with TensorFlow, PyTorch, or similar frameworks is a plus
Understanding of data visualization tools is beneficial
Experience with Git or version control systems is an advantage

What Interns Will Gain

Hands-on experience working on AI and machine learning projects
Exposure to real-world datasets and model development
Opportunity to build a strong AI project portfolio
Mentorship from experienced developers and data scientists
Internship completion certificate based on performance and participation

Read more

Data Scientist – Machine Learning & AI (GenAI Focus)

Faisal AshrafNomani

Posted by Faisal AshrafNomani

Bengaluru (Bangalore), Delhi, Gurugram, Noida, Ghaziabad, Faridabad, Chennai

4 - 15 yrs

₹30L - ₹40L / yr

Machine Learning (ML)

Natural Language Processing (NLP)

Generative AI

Python

Scikit-Learn

+4 more

About the Role

We are looking for a highly skilled Data Scientist with strong expertise in Machine Learning, MLOps, and Generative AI. The ideal candidate will have hands-on experience in building scalable ML models, deploying them in production, and working with modern AI frameworks, including GenAI technologies.

Key Responsibilities

· Design, develop, and deploy machine learning models for real-world business problems

· Work on end-to-end ML lifecycle: data preprocessing, model building, evaluation, deployment, and monitoring

· Implement and manage MLOps pipelines for scalable and reproducible workflows

· Utilize tools like MLflow for experiment tracking, model versioning, and lifecycle management

· Develop and integrate Generative AI (GenAI) solutions such as LLM-based applications

· Collaborate with cross-functional teams (engineering, product, business) to translate requirements into AI solutions

· Optimize model performance and ensure production stability

· Stay updated with the latest advancements in AI/ML and GenAI ecosystems

Required Skills & Qualifications

· 4+ years of experience in Data Science / Machine Learning

· Strong programming skills in Python

· Hands-on experience with ML modeling techniques (supervised, unsupervised, NLP, etc.)

· Solid understanding of MLOps practices and tools

· Experience with MLflow or similar model lifecycle tools

· Practical experience in Generative AI (GenAI), including working with LLMs

· Experience with libraries/frameworks like Scikit-learn, TensorFlow, PyTorch

· Strong understanding of data structures, algorithms, and statistics

· Experience with cloud platforms (AWS/GCP/Azure) is a plus

Good to Have

· Experience with LLM fine-tuning, prompt engineering, or RAG pipelines

· Exposure to Docker, Kubernetes, and CI/CD pipelines

· Knowledge of data engineering workflows

About the Role

We are looking for a highly skilled Data Scientist with strong expertise in Machine Learning, MLOps, and Generative AI. The ideal candidate will have hands-on experience in building scalable ML models, deploying them in production, and working with modern AI frameworks, including GenAI technologies.

Key Responsibilities

· Design, develop, and deploy machine learning models for real-world business problems

· Work on end-to-end ML lifecycle: data preprocessing, model building, evaluation, deployment, and monitoring

· Implement and manage MLOps pipelines for scalable and reproducible workflows

· Utilize tools like MLflow for experiment tracking, model versioning, and lifecycle management

· Develop and integrate Generative AI (GenAI) solutions such as LLM-based applications

· Collaborate with cross-functional teams (engineering, product, business) to translate requirements into AI solutions

· Optimize model performance and ensure production stability

· Stay updated with the latest advancements in AI/ML and GenAI ecosystems

Required Skills & Qualifications

· 4+ years of experience in Data Science / Machine Learning

· Strong programming skills in Python

· Hands-on experience with ML modeling techniques (supervised, unsupervised, NLP, etc.)

· Solid understanding of MLOps practices and tools

· Experience with MLflow or similar model lifecycle tools

· Practical experience in Generative AI (GenAI), including working with LLMs

· Experience with libraries/frameworks like Scikit-learn, TensorFlow, PyTorch

· Strong understanding of data structures, algorithms, and statistics

· Experience with cloud platforms (AWS/GCP/Azure) is a plus

Good to Have

· Experience with LLM fine-tuning, prompt engineering, or RAG pipelines

· Exposure to Docker, Kubernetes, and CI/CD pipelines

· Knowledge of data engineering workflows

Read more

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