Ai Machine Learning And Data Analytics Jobs
Top companies. Open roles. One search.
Ai Machine Learning And Data Analytics Jobs
Top companies. Open roles. One search.
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Live market · March 2026
Ai Machine Learning And Data Analytics Jobs
58 companies. 13.00Lacs–28.00Lacs typical band. Python, Data Visualisation, and Power Bi lead the stack.
Open roles
150
Companies
58
New this week
7
Market pulse
Among listings with pay disclosed (150 roles), the middle half of packages sits near 13.00Lacs–28.00Lacs (annualised). Skills showing up most often: Python, Data Visualisation, Power Bi, Sql, and Tableau. 7 roles were posted or refreshed in the last seven days. 58 employers are represented in this snapshot.
Salary (disclosed)
- Low–high
- 6.00Lacs – 38.00Lacs
- Median
- 19.00Lacs
- Middle 50%
- 13.00Lacs – 28.00Lacs
150 listings with pay
Top skills
- Python — 150 mentions
- Data Visualisation — 132 mentions
- Power Bi — 132 mentions
- Sql — 132 mentions
- Tableau — 132 mentions
- No Sql — 132 mentions
- Data Pipelines — 90 mentions
- Statistics — 89 mentions
Experience mix
- 2–5 years51%
- 5–10 years33%
- 10+ years16%
India labour market context
India’s hiring mix in 2025 is tilted toward digital roles, global capability centres, and deeper demand in financial services, manufacturing, and technology. Employers are competing harder for scarce skills, so promotion and switch premiums for critical roles often run higher than general annual increments. Flexible and hybrid setups remain part of the offer, alongside cash and long-term incentives for senior hires.
Themes align with recruiter outlooks including Michael Page India Salary Guide 2025.
Who's hiring
Employers with the most openings in this result set—click through for company profiles.
Showing 150 results
1
of 8 Results
Data Engineering
12 Yrs +Full-Time·
Bengaluru
Senior Data Scientist
6-10 YearsFull-Time·Bengaluru
Senior Data Scientist
6-10 YearsFull-Time·Mumbai
Senior Data Scientist
6-10 YearsFull-Time·Chennai
Data Sciences
12 Yrs +Full-Time·Bengaluru
Machine Learning Engineer
3-6 YearsFull-Time·Bengaluru
Data Scientist
3-6 YearsFull-Time·Gurugram
Data Scientist
3-6 YearsFull-Time·Noida
Data Engineer
6-10 YearsFull-Time·Noida
Sr. Data Scientist
10-12 YearsFull-Time·Noida
Data Engineer
6-10 YearsFull-Time·Bengaluru
Sr Machine Learning Engineer
6-10 YearsFull-Time·Bengaluru
Data Scientist
1-3 YearsFull-Time·Bengaluru
Data Engineer
3-6 YearsFull-Time·Bengaluru
Data Scientist
3-6 YearsFull-Time·Hyderabad
Data Analyst
6-10 YearsFull-Time·Noida
Data Analyst
6-10 YearsFull-Time·Chennai
Data Analytics
1-3 YearsFull-Time·Mumbai
Data Analyst
6-10 YearsFull-Time·Bengaluru
Sr Machine Learning Engineer
10-12 YearsFull-Time·Noida
Data Engineer
12 Yrs +Full-Time·Noida
Data Analyst
6-10 YearsFull-Time·Hyderabad
Data Analyst
3-6 YearsFull-Time·Hyderabad
Data Scientist
3-6 YearsFull-Time·Hyderabad
Data Engineer
6-10 YearsFull-Time·Gurugram
Data Scientist
3-6 YearsFull-Time·Gurugram
Senior Data Scientist
3-6 YearsFull-Time·Bengaluru
Machine Learning Engineer
3-6 YearsFull-Time·Bengaluru
Data Analytics
3-6 YearsFull-Time·Mumbai
Senior Data Engineer
3-6 YearsFull-Time·Bengaluru
Data Science
12 Yrs +Full-Time·Mumbai
Lead Data Scientist
3-6 YearsFull-Time·Bengaluru
Data Analyst
3-6 YearsFull-Time·Mumbai
Data Engineer
6-10 YearsFull-Time·Pune
Data Engineer
6-10 YearsFull-Time·Bengaluru
Sr. Data Scientist
3-6 YearsFull-Time·Gurugram
Data Engineer
3-6 YearsFull-Time·Mumbai
Data Scientist
6-10 YearsFull-Time·Gurugram
Data Engineer
3-6 YearsFull-Time·Bengaluru
Data Engineer
3-6 YearsFull-Time·Hyderabad
Data Scientist
3-6 YearsFull-Time·Hyderabad
Lead Data Engineer
6-10 YearsFull-Time·Pune
Data Engineer
3-6 YearsFull-Time·Bengaluru
Senior Data Scientist
3-6 YearsFull-Time·Bengaluru
Data Engineer
6-10 YearsFull-Time·Bengaluru
Data Scientist
6-10 YearsFull-Time·Gurugram
Data Scientist
3-6 YearsFull-Time·Bengaluru
Data Engineer
6-10 YearsFull-Time·Pune
Data Scientist
3-6 YearsFull-Time·Noida
Data Analyst
1-3 YearsFull-Time·Gurugram
Lead Data Engineer
10-12 YearsFull-Time·Gurugram
Data Science
6-10 YearsFull-Time·Hyderabad
Data Engineering
12 Yrs +Full-Time·Bengaluru
Data Analytics
3-6 YearsFull-Time·Hyderabad
Data Scientist
3-6 YearsFull-Time·Bengaluru
Data Science
3-6 YearsFull-Time·Bengaluru
Data Engineer
3-6 YearsFull-Time·Kolkata
Data Engineer
6-10 YearsFull-Time·Bengaluru
Data Scientist
6-10 YearsFull-Time·Hyderabad
Data Engineer
3-6 YearsFull-Time·Bengaluru
Big Data Developer
6-10 YearsFull-Time·Chennai
Data Engineer
1-3 YearsFull-Time·Gurugram
Machine Learning Engineering
6-10 YearsFull-Time·Hyderabad
Senior Data Engineer
3-6 YearsFull-Time·Pune
Data Analyst
3-6 YearsFull-Time·Chennai
Data Scientist
10-12 YearsFull-Time·Bengaluru
Data Engineer
3-6 YearsFull-Time·Gurugram
Data science
6-10 YearsFull-Time·Hyderabad
Data Engineer
3-6 YearsFull-Time·New Delhi
Data Engineer
3-6 YearsFull-Time·Noida
Big Data Developer
12 Yrs +Full-Time·Bengaluru
Data Engineer
12 Yrs +Full-Time·Ahmedabad
Data Engineer
10-12 YearsFull-Time·Mumbai
Lead Big Data Engineer
6-10 YearsFull-Time·Pune
LEAD DATA SCIENTIST
6-10 YearsFull-Time·Chennai
MACHINE LEARNING ENGINEER
6-10 YearsFull-Time·Bengaluru
SENIOR DATA ENGINEER
6-10 YearsFull-Time·Bengaluru
LEAD DATA SCIENTIST
6-10 YearsFull-Time·Bengaluru
Data Analyst
6-10 YearsFull-Time·Hyderabad
Data Engineer
3-6 YearsFull-Time·Chennai
Bigdata Developer
12 Yrs +Full-Time·Chennai
Data Analyst
3-6 YearsFull-Time·Hyderabad
Data Scientist
10-12 YearsFull-Time·Bengaluru
Data Scientist
10-12 YearsFull-Time·Gurugram
Data Engineer
10-12 YearsFull-Time·Chennai
Data Science
10-12 YearsFull-Time·Kolkata
Data Science
10-12 YearsFull-Time·Gurugram
Data Science
10-12 YearsFull-Time·Bengaluru
Data Analyst
3-6 YearsFull-Time·Bengaluru
Data Engineer
6-10 YearsFull-Time·Gurugram
Data Scientist
3-6 YearsFull-Time·Bengaluru
Machine Learning Engineer
1-3 YearsFull-Time·Bengaluru
Data Science
10-12 YearsFull-Time·Gurugram
Data Engineer
3-6 YearsFull-Time·Noida
Data Engineer
6-10 YearsFull-Time·Bengaluru
Data Analyst
3-6 YearsFull-Time·Bengaluru
Data Engineer
3-6 YearsFull-Time·Hyderabad
Data Engineer
3-6 YearsFull-Time·Bengaluru
Data Scientist
6-10 YearsFull-Time·Chennai
Data Engineer
3-6 YearsFull-Time·Chennai
Data Scientist
6-10 YearsFull-Time·Bengaluru
Data Engineer
10-12 YearsFull-Time·Noida
Data Engineering
12 Yrs +Full-Time·Noida
Data Engineer
10-12 YearsFull-Time·Chennai
Machine Learning Developer
1-3 YearsFull-Time·Noida
Big Data Developer
6-10 YearsFull-Time·Hyderabad
BigData Developer
6-10 YearsFull-Time·Bengaluru
Data Science
12 Yrs +Full-Time·Pune
Senior Data Analyst
3-6 YearsFull-Time·Noida
Senior Data Analyst
3-6 YearsFull-Time·Gurugram
Data Analytics
6-10 YearsFull-Time·Mumbai
Data Engineer
6-10 YearsFull-Time·Pune
Data Analyst
3-6 YearsFull-Time·Bengaluru
Data Scientist
3-6 YearsFull-Time·Gurugram
Data Engineer
3-6 YearsFull-Time·Chennai
Data Engineer
3-6 YearsFull-Time·Hyderabad
Data Scientist
1-3 YearsFull-Time·Gurugram
Data Analyst
3-6 YearsFull-Time·Hyderabad
Data Analyst
6-10 YearsFull-Time·Chennai
Sr Machine Learning Engineer
3-6 YearsFull-Time·Chennai
Data Science
3-6 YearsFull-Time·Gurugram
Senior Data Analytics
1-3 YearsFull-Time·Gurugram
Data Analytics
6-10 YearsFull-Time·Bengaluru
Senior Data Engineer
3-6 YearsFull-Time·Chennai
Data Engineer
3-6 YearsFull-Time·Bengaluru
Data Scientist
6-10 YearsFull-Time·Thoraipakkam
Data Engineering
3-6 YearsFull-Time·Chennai
Data Scientist
6-10 YearsFull-Time·Pune
Data Scientist
3-6 YearsFull-Time·Bengaluru
Data Engineer
3-6 YearsFull-Time·Hyderabad
Big Data Engineering
6-10 YearsFull-Time·New Delhi
Data Scientist
6-10 YearsFull-Time·Gurugram
Big Data Engineering
6-10 YearsFull-Time·Noida
Big Data Engineering
6-10 YearsFull-Time·Gurugram
Data Analyst
3-6 YearsFull-Time·Noida
Data Analyst
3-6 YearsFull-Time·Gurugram
Data Analyst
3-6 YearsFull-Time·New Delhi
Senior Data Analyst
3-6 YearsFull-Time·Bengaluru
Senior Data Scientist
3-6 YearsFull-Time·Bengaluru
Data Scientist
3-6 YearsFull-Time·Bengaluru
Data Analyst
3-6 YearsFull-Time·Noida
Data Analyst
1-3 YearsFull-Time·Bengaluru
Data Scientist
3-6 YearsFull-Time·Hyderabad
Data Engineer
3-6 YearsFull-Time·Pune
Data Engineer
3-6 YearsFull-Time·Gurugram
Data Scientist
6-10 YearsFull-Time·Gurugram
Data Engineer
6-10 YearsFull-Time·Bengaluru
Data Engineer
6-10 YearsFull-Time·Gurugram
Data Scientist
6-10 YearsFull-Time·Bengaluru
Data Engineer
3-6 YearsFull-Time·Gurugram
Search insights
Showing 150 jobs from 58 companies.
Top hiring cities: Bengaluru, Mumbai, Chennai, Gurugram, Noida, Hyderabad.
Related searches
Frequently Asked Questions
- What AI Machine Learning and Data Analytics roles are available in India?
- UnoJobs lists 150 AI Machine Learning and Data Analytics roles right now, across 58 employers in India. The mix includes IC, mid-level, and leadership positions.
- What is the salary range for AI Machine Learning and Data Analytics jobs in India?
- Among AI Machine Learning and Data Analytics listings in India that include pay on UnoJobs right now, the middle of the market sits near 19.00Lacs annualised, with the central half of offers roughly between 13.00Lacs–28.00Lacs. Always confirm with the employer—equity and variable pay sit outside this band.
- Which companies hire for AI Machine Learning and Data Analytics roles in India?
- In this snapshot: TATACON (7 open); ACCENTURE (7 open); HCL (7 open); AIRTEL (7 open). The roster updates as new positions are posted.
- What skills do AI Machine Learning and Data Analytics employers look for?
- Most-mentioned skills across these listings: Python, Data Visualisation, Power Bi, Sql, and Tableau. Read individual JDs for must-haves versus nice-to-haves.
About this search
Short guide and common questions for this job search on UnoJobs.
AI Machine Learning and Data Analytics Jobs in India
An AI Machine Learning Engineer is crucial in leveraging Artificial Intelligence (AI) and machine learning to tackle real-world problems and drive business innovation. They design, implement, and maintain machine learning models to derive valuable insights from complex datasets.
AI engineers are vital in developing solutions that improve operational efficiency and customer experiences in technology, healthcare, finance, and automotive industries. The global demand for AI and machine learning engineers grew by nearly 75% from 2020 to 2023, making it one of the fastest-growing job roles in technology.
Moreover, AI-driven solutions in healthcare, such as predictive analytics and diagnostics, are expected to reduce global healthcare costs by $150 billion annually by 2025. A Machine Learning Analyst uses advanced algorithms and data models to uncover trends and insights, driving smarter business decisions.
On the other hand, a Data Analyst AI specialist will transform raw data into actionable insights by leveraging AI techniques and predictive analytics.
Ai Machine Learning Job Description
This role is vital across various sectors, such as technology, finance, healthcare, and automotive, where AI and machine learning integration are essential for operational success and competitive advantage.
Engineers in this role develop sophisticated AI models and algorithms that enhance product capabilities and user experiences. An Analyst AI works with machine learning tools and AI technologies to analyze complex datasets, optimizing strategies for improved outcomes.
Searching for Effective AI Machine Learning and Data Analytics Jobs
- AI Machine Learning and Data Analytics Jobs in Delhi
- AI Machine Learning and Data Analytics Jobs in Gurgaon
- AI Machine Learning and Data Analytics Jobs in Mumbai
- AI Machine Learning and Data Analytics Jobs in Bengaluru
- AI Machine Learning and Data Analytics Jobs in Hyderabad
- AI Machine Learning and Data Analytics Jobs in Pune
- AI Machine Learning and Data Analytics Jobs in Chandigarh
- AI Machine Learning and Data Analytics Jobs in Chennai
- AI Machine Learning and Data Analytics Jobs in Noida
- AI Machine Learning and Data Analytics Jobs in Kochi
- AI Machine Learning and Data Analytics Jobs in Vadodara
- AI Machine Learning and Data Analytics Jobs in Jaipur
- AI Machine Learning and Data Analytics Jobs in Ahmedebad
- AI Machine Learning and Data Analytics Jobs in Coimbatore
- AI Machine Learning and Data Analytics Jobs in Lucknow
- AI Machine Learning and Data Analytics Jobs in Kolkata
Artificial Intelligence Job Responsibilities
- Model Development and Training: Build and train advanced machine learning models using techniques like deep learning to meet business requirements.
- Algorithm Implementation: Apply complex AI algorithms to enhance decision-making and improve business outcomes.
- Data Analysis: Use data analytics to derive valuable insights from datasets and refine machine learning systems.
- System Integration: Seamlessly integrate machine learning systems into existing business frameworks, ensuring alignment with business strategy.
- Continuous Learning: Adapt deep learning models and algorithms in response to evolving data and business goals.
Artificial Intelligence and Machine Learning Job Roles in India
Big Data Developer:
Develops robust search engines and processes vast amounts of data to derive valuable insights for business decisions.
Data Analyst:
Utilizes business intelligence tools to analyze customer reviews and improve customer experiences through predictive analytics.
Data Engineer:
Architects data systems that support the creation of predictive models and AI-powered analytics, enhancing business intelligence.
Data Scientist:
Applies machine learning techniques and programming languages to build complex models that predict trends and automate repetitive tasks.
Machine Learning Engineer:
Designs and implements decision tree algorithms and AI models that power self-driving cars and provide product recommendations.
Essential Skills for AI Machine Learning Engineers
For a successful career in AI and Machine Learning, professionals need to develop several core skills that enable them to handle complex data sets and build robust models. Key skills include:
- Advanced Machine Learning Knowledge: Profound understanding of machine learning theories and their real-world application.
- Programming Proficiency: Strong coding skills in languages like Python, R, and Scala are essential for AI programming.
- Statistical Analysis and Math: Ability to apply statistical models and mathematical frameworks to complex datasets.
- Problem-Solving: Excellent problem-solving skills to devise and implement effective AI solutions.
- Project Management: Capability to manage multiple projects focused on integrating AI technologies into business operations.
Qualification for an AI Data Analyst:
Specific qualifications and continuous learning are essential to excel in AI and Machine Learning. Here’s a look at the common educational background and certifications for aspiring professionals:
- Bachelor’s Degree: Typically in Computer Science, Data Science, Engineering, or related fields.
- Specialized Certifications: In AI and machine learning platforms like TensorFlow and PyTorch.
- Continual Online Learning: Ongoing education through platforms focusing on the latest AI technologies and machine learning algorithms.
- Practical Experience: Hands-on roles in AI projects or internships focusing on machine learning applications.
Career Path and Development in AI and Machine Learning
AI and Machine Learning professionals can follow a rewarding career path with growth opportunities. Starting as junior engineers, they focus on model training and data handling.
With experience, they can advance to roles that involve designing comprehensive AI systems and leading projects. Senior positions may include leading AI departments and making strategic decisions on AI adoption for business innovation.
What is the average salary for an AI Machine Learning Engineer?
In India, the average salary for AI and machine learning professionals varies widely based on experience, location, and specific role. Entry-level positions typically start from ₹6 lakhs per annum, while experienced professionals earn up to ₹20 lakhs or more annually.
AI and machine learning engineers use programming languages and machine learning techniques to create predictive models and decision trees, which provide valuable insights that influence business decisions.
They utilize AI-powered analytics to enhance customer experiences, automate repetitive tasks, and generate product recommendations. These are all integral to advancing business intelligence and driving innovations like self-driving cars.