510 AI Engineers jobs in Bangalore

Company Overview – WhatJobs Ltd

WhatJobs is a global job search engine and career platform operating in over 50 countries. We leverage advanced technology and AI-driven tools to connect millions of job seekers with opportunities, helping businesses and individuals achieve their goals.

Position: Data Science Trainee/Intern

Location: Commercial Street

Duration: 3 Months

Type: Internship/Traineeship (with potential for full-time opportunities)

Role Overview

We are looking for enthusiastic Data Science trainees/interns eager to explore the world of data analytics, machine learning, and business insights. You will work on real-world datasets, apply statistical and computational techniques, and contribute to data-driven decision-making at WhatJobs.

Key Responsibilities

• Collect, clean, and analyze datasets to derive meaningful insights.
• Assist in building and evaluating machine learning models.
• Work with visualization tools to present analytical results.
• Support the team in developing data pipelines and automation scripts.
• Research new tools, techniques, and best practices in data science.

Requirements

• Basic knowledge of Python and data science libraries (Pandas, NumPy, Matplotlib, Scikit-learn).
• Understanding of statistics, probability, and data analysis techniques.
• Familiarity with machine learning concepts.
• Knowledge of Google Data Studio and BigQuery for reporting and data management.
• Strong analytical skills and eagerness to learn.
• Good communication and teamwork abilities.

What We Offer

• Hands-on experience with real-world data science projects.
• Guidance and mentorship from experienced data professionals.
• Opportunity to work with a global technology platform.
• Certificate of completion and potential for full-time role.

• Design, develop, and deploy machine learning models and algorithms for various product features.
• Collaborate with data scientists and product managers to define ML requirements and product roadmaps.
• Build robust and scalable ML pipelines for data preprocessing, model training, evaluation, and deployment.
• Optimize ML models for performance, latency, and resource efficiency in production environments.
• Implement MLOps best practices for model versioning, continuous integration/continuous deployment (CI/CD), and automated monitoring.
• Work with large-scale datasets, ensuring data quality and integrity.
• Evaluate and integrate new ML technologies and frameworks to enhance product capabilities.
• Troubleshoot and resolve issues related to ML models in production.
• Mentor junior engineers and contribute to a culture of technical excellence and innovation.
• Write clean, maintainable, and well-documented code.

• Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field.
• Minimum of 5 years of experience in machine learning engineering, with a strong focus on product development and deployment.
• Proficiency in Python and extensive experience with ML libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Experience building and deploying ML models in cloud environments (AWS, Azure, GCP).
• Solid understanding of software engineering principles, data structures, and algorithms.
• Experience with MLOps tools and practices (e.g., Docker, Kubernetes, MLflow).
• Strong analytical, problem-solving, and debugging skills.
• Excellent communication and collaboration skills, essential for effective remote teamwork.
• Ability to work independently, manage priorities, and deliver high-quality results in a fast-paced setting.

• Assist in data collection, cleaning, and transformation processes.
• Perform exploratory data analysis (EDA) to identify trends and patterns.
• Support the development and implementation of data models and machine learning algorithms.
• Create data visualizations and reports to communicate findings.
• Learn and apply statistical and mathematical concepts to data analysis.
• Collaborate with senior data scientists on various projects.
• Assist in the maintenance and improvement of data pipelines.
• Contribute to documentation of data processes and methodologies.
• Participate in team meetings and learning sessions.
• Develop basic proficiency in data analysis tools and programming languages.

• Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
• Strong interest and passion for data science and analytics.
• Basic understanding of statistics, mathematics, and programming concepts.
• Familiarity with Python or R is a plus.
• Analytical mindset and problem-solving abilities.
• Excellent communication and teamwork skills.
• Eagerness to learn and adapt to new technologies and methodologies.
• Ability to work effectively in a hybrid work environment.

Title: Data Science / AI Mentor (Part-time / Freelance) | DataMites®

About DataMites®

DataMites® is India’s leading EdTech company specialising in Artificial Intelligence, Data Science, Machine Learning, and Analytics career programs. Since 2016, we’ve trained over 120,000+ learners globally , empowering professionals to build high-growth tech careers. With a global presence and industry-recognized certifications, DataMites is shaping the next generation of AI and Data Science talent through practical, job-oriented learning.

Role: Data Science / AI Mentor or Trainer

Type: Part-Time / Freelance

Location: Remote (Online) or Classroom (Major cities in India)

What You’ll Do:

• Deliver engaging training sessions on topics such as Python, Machine Learning, Deep Learning, Statistics, AI, and related tools.
• Mentor learners through project-based learning and hands-on exercises.
• Guide students in applying real-world problem-solving techniques using AI and Data Science frameworks.
• Evaluate assignments and provide constructive feedback.
• Stay updated with the latest industry trends and best practices.

Who We’re Looking For:

• Professionals or educators with strong expertise in Data Science, AI, or Machine Learning.
• Proficiency in Python, NumPy, Pandas, Scikit-learn, and related ML libraries.
• Experience in training, mentoring, or delivering technical sessions (preferred).
• Strong communication skills and a passion for teaching.
• Freelancers, working professionals, or PhD/MTech candidates in AI/Data Science are welcome.

Why Join DataMites ®:

• Be part of India’s fastest-growing AI & Data Science education movement.
• Flexible engagement—teach part-time or on weekends.
• Opportunity to inspire thousands of learners globally.
• Work with a passionate academic and industry-driven team.

If you’re passionate about sharing knowledge and shaping the next generation of AI talent, we’d love to hear from you.

You will be responsible for design and engineering aspects of the Machine Learning ecosystem developing life cycle frameworks and delivering state-of-the-art solutions for ML pipelining, deployment and integration with the back-end product. Ensure efficient architecture and low-level design of deep learning-based solutions and high-quality deliverables with focus on innovation, scientific research, experimentation and optimal design.

As a subject matter expert, you will be combining your professional experience and an intrinsic desire for problem solving.

• Development and implementation of ML models for product brand extraction based on product name, description and other attributes
• Development and implementation of ML-based product matching solutions
• Development of text-based product classification tools
• Analyze big amount of data from online retailers using statistical techniques to identify patterns
• Build ML, statistical and analytical models, forecasting models
• Create MLDL solution and infrastructure
• Responsible for statistical analysis and model research to develop an advanced analytical approach to generate the required insights
• Design and implement efficient, fault-tolerant Machine Learning flows for processing high-velocity, heterogeneous data, including optimization of Machine Learning workflows for building automated decision systems that provide future predictions
• Provide statistical analysis of large and complex datasets and ensure accuracy in analysis
• Develop innovative and effective approaches to solve analytics problems

You will fit right in if you have –

• 8 years of relevant experience in the domain
• Bachelor’s degree in Computer Science or equivalent
• 4+ years’ experience researching and developing ML models for big data analysis
• Experience of deep learning in NLP (LSTM, BERT, etc.)
• Proficiency with any deep learning framework, Tensorflow + Keras is preferred
• 3+ years’ experience and deep understanding of text processing techniques and best practices (classification, NER, text ranking)
• Python (Pandas, NumPy , scipy, scikit-learn)
• Textual data processing libraries (NLTK, GenSim)
• 2+ years’ experience of training and productionalization of deep learning models
• 3+ years’ experience of software development in Python
• Excellent knowledge of the data science problems, including large scale data and data pipeline management
• Excellent presentation skills, communication skills, verbal and written
• Expert in using data analytical and modeling tools
• Excellent knowledge in using visualization tools
• Strong interpersonal skills and a combination of analytical skills, intellectual curiosity, and accountability

Job Title: N8N Developer / Automation Engineer

Experience: 1–4 years (Immediate Joiners Preferred)

Location: (Your Location) / Remote

Job Summary:

We are looking for a skilled N8N Developer to design, develop, and maintain workflow automations and integrations across multiple systems. The ideal candidate should have strong experience with N8N , API integrations , and Node.js , and be able to create efficient automation solutions that improve operational efficiency.

Key Responsibilities:

• Design, develop, and deploy automated workflows using N8N .
• Integrate multiple systems and APIs (REST, GraphQL, etc.) to automate business processes.
• Build and maintain custom N8N nodes when required using Node.js and JavaScript .
• Monitor, troubleshoot, and optimize existing workflows for performance and reliability.
• Collaborate with cross-functional teams to identify automation opportunities.
• Implement error-handling, logging, and version control for workflows.
• Document workflows, processes, and integration logic for internal teams.

Required Skills & Experience:

• Hands-on experience with N8N workflow automation.
• Strong knowledge of Node.js , JavaScript , and RESTful APIs .
• Familiarity with webhooks , OAuth , and JSON data structures .
• Experience working with databases (MongoDB, MySQL, PostgreSQL, etc.).
• Understanding of cloud platforms (AWS, GCP, or similar) is a plus.
• Ability to debug and optimize API calls and workflow logic.
• Excellent problem-solving and analytical skills.

Preferred Skills (Good to Have):

• Experience with Zapier , Make (Integromat) , or other automation tools.
• Exposure to Docker and CI/CD pipelines .
• Basic understanding of DevOps and API security .
• Knowledge of Express.js or other backend frameworks.

Qualification:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.

Please send me your resume on /

About the Role

We are looking for a hands-on leader with expertise in Generative AI and enterprise AI chat technologies who can serve as an L25 support layer bridging the gap between frontline support L2 and deep technical experts L3. This person will act as the first point of escalation for AI related technical questions, ensure quality in responses, and coordinate with global colleagues to resolve complex queries. This role is part technical support, part advisory, ensuring internal teams have the right AI tools, workflows, and knowledge to work effectively.

Responsibilities

• Serve as the primary point of contact for escalated technical queries related to Generative AI (GenAI), the internal enterprise AI chat solution, and AI assisted workflows.
• Provide direct technical assistance and guidance to users; escalate to and collaborate with L3 subject matter experts when necessary.
• Ensure accuracy, consistency, and quality in responses provided to internal teams.
• Document solutions, best practices, and repeatable workflows for common queries.
• Monitor and analyze support requests to identify training opportunities, system improvements, or process optimizations.
• Stay updated on emerging AI tools, prompt engineering techniques, and integration capabilities.

Required Skills

• Proven experience in Generative AI technologies, including enterprise AI chat solutions (e.g., Azure OpenAI, Anthropic Claude, Google Gemini, or custom internal AI chat platforms).
• Strong technical troubleshooting and problem-solving skills, especially in complex AI workflows.
• Excellent communication skills with the ability to explain technical concepts clearly to non-technical audiences.
• Experience acting in an L25 role or similar, owning escalations and bridging between support and engineering teams.
• Proactive, resourceful, and comfortable working across time zones.
• Strong documentation and knowledge management skills.

Preferred Skills

• Experience working in a technology support or AI advisory role.
• Familiarity with AI integration platforms (e.g., n8n, Zapier, Workato, or workflow automation tools).
• Exposure to prompt engineering best practices.

Work Location: Hyderabad

Work Hours: US Time Zone Active until 300 PM PST

Equal Opportunity Statement

We are committed to diversity and inclusivity.

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