31,170 AI Engineering jobs in India

Role & responsibilities

Bachelors degree in engineering computer science or a related field

12 to 16 years of total experience with at least 3 years of experience leadingmanaging AIML projects Worked in Predictive modeling projects achieving clear measurable business objectives

Good understanding of US Health insurance with at least 2 years of experience in the same

Experience and understanding of the entire MLOps pipeline from data ingestion to production

Strong understanding of AIML concepts algorithms including supervised unsupervised and reinforcement learning as well as MLOps

Proven ability to take successful complex ideas from experimentation to production

Handson experience with Google Cloud Platform GCP or any public cloud platform

Excellent communication presentation and interpersonal skills

Proven experience in leading motivating inspiring teams to foster collaboration

Proficient in identifying assessing and calling out risks and mitigation plans to stakeholders

Experience in implementing process improvements and learning from past projects to enhance future performance

Ability to analyze external and internal processes and create strategies for service delivery optimization

Experience in working with diverse teams and stakeholders understanding their needs and managing expectations

Experience In handling team managing multiple stakeholders"

As an AI Engineer on the founding team, you won't just write code, you'll architect, experiment, and build AI systems that power the future of software interoperability. You'll work directly with the founders, take ownership of major technical decisions, and help define the trajectory of our product and platform. We move fast. We build a lot. And we have fun while doing it.

Here's what you'll do:

• Implement retrieval-augmented generation (RAG) pipelines to integrate LLMs with real-time data and context.
• Apply advanced techniques in prompt engineering, transfer learning, and custom model training.
• Optimize model performance and cost across production environments.
• Work with tools like Hugging Face, LangChain, OpenAI APIs, and vector databases (FAISS, Pinecone, Weaviate).
• Deploy scalable models using cloud platforms like AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes.
• Collaborate with global teams and researchers in a fast-paced, remote-first setup.

Must-haves:

• 1+ years of experience in AI/ML with deep exposure to Generative AI, LLMs, and NLP.
• Proficient in Python and at least one deep learning framework: PyTorch, TensorFlow, or JAX.
• Solid understanding of Transformer architectures (GPT, T5, BERT, Claude, Gemini, etc.).
• Experience deploying models in production using cloud infrastructure and MLOps practices.
• Familiarity with SQL/NoSQL and data manipulation at scale.
• Excellent analytical skills and ability to break down complex problems into production-ready solutions.
• Comfortable working 5+ hours overlapping with Pacific Time (PT).
• Strong communication and asynchronous collaboration skills.

Job Title:
Deep Learning & Computer Vision Engineer

Company:
Designing Alley

Location:
On-site

Employment Type:
Full-Time

Experience:
3–5 Years

About Us

Designing Alley is an innovation-driven startup building advanced solutions in
automation, AI, and computer vision
. We combine creativity with technology to deliver groundbreaking products that redefine industries. If you're passionate about AI and want to work on cutting-edge projects, join us and make an impact.

Role Overview

We are seeking a
Deep Learning & Computer Vision Engineer
to design, develop, and deploy AI-powered solutions. You will be responsible for building real-time computer vision pipelines, implementing state-of-the-art deep learning models, and bringing research concepts into production. This is an exciting opportunity to work in a
fast-paced startup environment
where your work directly shapes innovative products.

Key Responsibilities

• Design and implement
  deep learning models
  for image classification, object detection, segmentation, and tracking.
• Develop
  computer vision pipelines
  for real-time applications.
• Research and apply the latest
  AI and computer vision techniques
  from research papers to production systems.
• Deploy, optimize, and maintain models on
  cloud platforms
  (AWS, GCP, Azure).
• Work with large datasets, performing preprocessing and
  data augmentation
  .
• Collaborate with cross-functional teams to integrate AI into products.
• Monitor model performance and improve efficiency.
• Mentor junior engineers
  and support team knowledge sharing.

Required Skills & Qualifications

• 3–5 years of experience in
  deep learning and computer vision
  .
• Proficiency in
  Python
  and frameworks like
  TensorFlow, PyTorch, Keras
  .
• Strong understanding of
  OpenCV
  and computer vision algorithms.
• Hands-on experience with neural architectures (
  CNNs, YOLO, ResNet, Transformers
  ).
• Experience deploying models on
  AWS/GCP/Azure
  and knowledge of
  MLOps
  (Docker, Git, CI/CD).
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Preferred Qualifications

• Experience with
  ROS
  and robotics applications.
• Knowledge of
  model optimization techniques
  (quantization, pruning).
• Familiarity with
  edge deployment
  (TensorFlow Lite, ONNX).
• Startup experience and ability to thrive in a dynamic environment.
• Contributions to
  open-source projects
  or published research.

At Arctic Wolf, we're redefining the cybersecurity landscape. With our employee Pack

members, spread out globally, committed to setting new industry standards. Our

accomplishments speak for themselves, from our recognition in the Forbes Cloud 100,

CNBC Disruptor 50, Fortune Future 50, and Fortune Cyber 60 to winning the 2024 CRN

Products of the Year award. We're proud to be named a Leader in the IDC MarketScape

for Worldwide Managed Detection and Response Services and earning a Customers' Choice

distinction from Gartner Peer Insights. Our Aurora Platform also received CRN's

Products of the Year award in the inaugural Security Operations Platform category. Join a

company that's not only leading, but also shaping, the future of security operations.

Our mission is simple: End Cyber Risk. We're looking for a Developer to be part of making

this happen.

About The Team
Our team is at the forefront of integrating cybersecurity operations with advanced data

intelligence. We transform complex security telemetry into actionable insights by leveraging

cutting-edge AI technologies and scalable data platforms like Databricks. Our work supports

multiple security products and internal teams, providing the foundation for advanced threat

intelligence.

We are evolving our capabilities by developing intelligent cybersecurity data processing AI

agents to enhance automation, efficiency, and analytical capabilities in threat detection and

response.

About The Role
As a Software Developer – Agentic AI & LLM Platforms, you will build intelligent,

scalable systems that transform complex data into actionable insights. You'll work at the

intersection of LLMs, agentic workflows, cloud-native data pipelines, and modern API

development — enabling advanced automation and intuitive interfaces for data exploration.

This role is ideal for a highly skilled developer with strong coding, system design, and

communication skills, who is passionate about AI engineering, modern APIs, and high-

performance data platforms.

Responsibilities
Design and build natural language interfaces powered by LLMs for querying

complex datasets.

evelop FastAPI-based services and APIs for integrating AI-driven applications.

e LangGraph or similar frameworks to orchestrate agentic AI workflows.

llaborate closely with product, ML, and platform teams to turn ideas into

production-grade software.

ite clean, scalable, and well-tested code following best practices.

rticipate in architecture reviews, design discussions, and code reviews.

timize cloud-based workflows for scalable, high-throughput data processing on

AWS.

Required Qualifications
years of experience in software development, with strong focus on backend/API

or data-heavy systems.

rong proficiency in Python and SQL for data manipulation, analysis, and backend

development.

oven experience building production APIs using FastAPI, Flask, or similar.

perience integrating and orchestrating LLMs and AI agents (LangGraph,

LangChain, or custom orchestration).

lid understanding of software design principles, architecture patterns, and

performance tuning.

nds-on experience with AWS services for scalable and secure compute and

storage.

perience working in Agile/Scrum/Kanban environments with modern

development practices (CI/CD, testing, code reviews).

Preferred Qualifications
posure to cybersecurity telemetry (e.g., alerts, logs, SIEM, network data) is a

plus.

miliarity with threat intelligence frameworks like MITRE ATT&CK is a bonus.

perience working with Apache Spark or Databricks for distributed data

processing.

owledge of agent-based systems, LLM fine-tuning, or retrieval-augmented

generation (RAG).

rong communication skills and ability to articulate technical solutions clearly.

vanced degree in Computer Science, Data Engineering, AI/ML, or a related field is

a plus.

Why Arctic Wolf?
At Arctic Wolf, we foster a collaborative and inclusive work environment that thrives on

diversity of thought, background, and culture. This is reflected in our multiple awards,

including Top Workplace USA , Best Places to Work – USA ,

Great Place to Work – Canada , Great Place to Work – UK (2024), and

Kununu Top Company – Germany Our commitment to bold growth and shaping

the future of security operations is matched by our dedication to customer satisfaction, with

over 7,000 customers worldwide and more than 2,000 channel partners globally. As we

continue to expand globally and enhance our technology, Arctic Wolf remains the most

trusted name in the industry.

Our Values

Arctic Wolf recognizes that success comes from delighting our customers, so we work

together to ensure that happens every day. We believe in diversity and inclusion, and truly

value the unique qualities and unique perspectives all employees bring to the organization.

And we appreciate that—by protecting people's and organizations' sensitive data and seeking

to end cyber risk— we get to work in an industry that is fundamental to the greater good. We

celebrate unique perspectives by creating a platform for all voices to be heard through our

Pack Unity program. We encourage all employees to join or create a new alliance. See more

about our Pack Unity here.   We also believe and practice corporate responsibility, and have

recently joined the Pledge 1% Movement, ensuring that we continue to give back to our

community. We know that through our mission to End Cyber Risk we will continue to

engage and give back to our communities.

All wolves receive compelling compensation and benefits packages, including:

• Equity for all employees
• Flexible annual leave, paid holidays and volunteer days
• Training and career development programs
• Comprehensive private benefits plan including medical insurance for you and your

family, life insurance (3x compensation), and personal accident insurance.

• Fertility support and paid parental leave

Arctic Wolf is an Equal Opportunity Employer and considers applicants for employment

without regard to race, colour, religion, sex, orientation, national origin, age, disability,

genetics, or any other basis forbidden under federal, provincial, or local law. Arctic Wolf is

committed to fostering a welcoming, accessible, respectful, and inclusive environment

ensuring equal access and participation for people with disabilities. As such, we strive to

make our entire employee experience as accessible as possible and

provide accommodations as required for candidates and employees with disabilities and/or

other specific needs where possible. Please let us know if you require any accommodations

by emailing

AI Engineering Internship – AskGalore Digital

Location:

Bhopal

(Role requires working
onsite

from 10am to 7pm on weekdays)

Positions Open:

2

Duration: 6 months

About AskGalore Digital:

AskGalore is a cutting-edge AI consulting company focused on leveraging artificial intelligence to transform businesses and marketing strategies. We specialize in building AI-driven solutions that help brands scale smarter, faster, and more efficiently. We're looking for passionate AI interns to join our team and work on real-world AI applications in marketing, content, and computer vision.

What You'll Do:

• Assist in developing and deploying
  RAG-based solutions

.
- Work on
Computer Vision projects

(image/video processing, recognition, classification).
- Explore and experiment with
LLMs (Large Language Models)

and their applications.
- Support the team in training, testing, and fine-tuning AI/ML models.
- Research and present innovative applications of AI technologies.

Who We're Looking For:

• Currently pursuing or recently completed a degree in
  Computer Science, Data Science, AI/ML, or related fields

.
- Familiarity with
Python, OpenCV, TensorFlow/PyTorch, RAG frameworks, and LLM APIs

is a plus.
- Strong analytical and problem-solving mindset.
- Self-starter with curiosity and eagerness to learn new AI concepts.
- Good communication and teamwork abilities.

What You'll Gain:

• Hands-on experience in
  AI model development and deployment

.
- Exposure to
RAG and Computer Vision technologies

.
- Opportunity to work on
cutting-edge AI projects

with real-world applications.
- Mentorship from experienced AI professionals.
- Certificate of Internship

and potential for
full-time opportunities

.

Perks:

• Onsite role in a
  dynamic, collaborative environment

in Bhopal.
- Learn and grow with a
fast-growing AI company

shaping the future of artificial intelligence.
- Monthly Stipend

after 1 month of internship.