15,136 AI jobs in India

Job Description:

Skills Required:

Data Science, Machine Learning, SQL, Python.

Roles & Responsibilities

• Investigate the feasibility of applying scientific and mathematical principles to real-world business problems.
• Develop new algorithms and enhance existing ones to solve domain-specific challenges.

• Build, train, and deploy machine learning models end-to-end.
• Collaborate with product and engineering teams to integrate models into production systems.

• Develop POCs and drive innovation by exploring emerging technologies and methodologies.
• Work with cross-functional teams (Data Engineering, Advisory, Product) to identify opportunities and implement process improvements,

Mandatory Skills & Experience

• Machine Learning – Hands-on experience building at least one ML model independently (end-to-end).
• Programming – Strong skills in Python and SQL (PySpark experience is a plus).

• Strong problem-solving, analytical thinking, and ability to translate business needs into data-driven solutions.
• Good communication and collaboration skill

Company Description

Teks Academy creates an excellent environment for career-focused students, offering real-world training to prepare them for future success. We provide both offline and online learning facilities, allowing students to choose the mode of learning that best fits their schedule and convenience.

Role Description

This is a full-time, on-site role located in Hyderabad for a Data Science Trainer. The trainer will be responsible for delivering lessons, developing curriculum, and mentoring students in the areas of data science and full stack Python development. Day-to-day tasks include preparing instructional materials, conducting classes, and evaluating students' progress.

1)
Data Science Trainer Qualifications:

• Strong knowledge of
  Data Science, Data Analytics, Data Analysis
  , and
  Generative AI
  .
• Proficiency in
  analytical skills, statistics
  , and
  machine learning concepts
  .
• Hands-on expertise with tools/libraries such as
  Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch)
  ,
  SQL
  , and
  data visualization
  (Matplotlib/Power BI/Tableau).
• Excellent communication and instructional skills
  to explain complex topics clearly.
• Ability to
  engage and motivate students
  with practical examples.
• Previous
  teaching/training experience
  in Data Science is a plus.
• Bachelor's degree in a relevant field;
  advanced degrees/certifications
  are advantageous.

Key Responsibilities:

• Deliver
  interactive sessions
  on Data Science, Machine Learning, and AI.
• Design curriculum
  and keep course materials updated with industry trends.
• Guide students through
  projects, assignments
  , and
  real-world datasets
  .
• Assess and mentor students to
  ensure understanding and career readiness
  .
• Conduct
  workshops/webinars
  to enhance learning outcomes.
• Support
  placement teams
  with technical interviews/mock sessions.

2)
Full Stack Python TrainerQualifications:

• Strong knowledge in
  Python programming
  ,
  front-end
  (HTML, CSS, JavaScript), and
  back-end frameworks
  (Django/Flask/FastAPI).
• Proficiency in
  REST API development
  ,
  databases (MySQL, PostgreSQL, MongoDB)
  , and
  version control (Git/GitHub)
  .
• Knowledge of
  software design patterns
  ,
  OOP
  ,
  MVC architecture
  , and
  CI/CD pipelines
  .
• Excellent
  problem-solving and debugging skills
  .
• Strong
  communication and instructional skills
  .
• Previous
  teaching/training experience
  in full-stack development is a plus.
• Bachelor's degree in Computer Science/IT;
  certifications
  in Python or web development are advantageous.

Key Responsibilities:

• Deliver
  comprehensive full-stack development training
  (front-end + back-end).
• Develop real-world projects
  for students to apply their learning.
• Teach
  best practices
  in coding, deployment, and security.
• Mentor students
  on technical queries and career preparation.
• Update curriculum based on
  industry trends
  and frameworks.
• Evaluate and provide feedback on
  student performance
  .

Interested can whatsapp me at or email your resume at

About the Role:

We are looking for a skilled and passionate Data Scientist who brings hands-on expertise in

Python programming, and Generative AI (GenAI) to help us design, build, and scale

intelligent, AI-powered solutions. The ideal candidate will have deep experience with NLP,

Computer Vision (CV), LLMs, FastAPI, vector databases, and modern machine learning

pipelines.

Key Responsibilities:

Design and implement AI/ML models for solving real-world business problems using

Python and Azure ML.

Develop and deploy RAG-based solutions integrating embedding techniques,

chunking, and retrieval strategies.

Work on OpenAI/GenAI-based models and fine-tune for specific enterprise use cases.

Build and consume REST APIs using FastAPI or Django.

Leverage Azure Form Recognizer for intelligent document processing.

Implement CI/CD pipelines for model deployment and automation.

Work with NoSQL and Vector Databases to store and retrieve high-dimensional data.

Collaborate with cross-functional teams to build scalable and robust ML pipelines.

Apply Deep Learning and NLP/CV techniques to enhance product features.

Primary Skills Required:

Strong expertise in Python programming

Experience with GCP Cloud services.

Hands-on with FastAPI, framework

Good understanding of CI/CD pipelines

Proficiency in GenAI and OpenAI models

Expertise in NLP, Computer Vision, Machine Learning, and Deep Learning

Familiarity with NoSQL Databases (e.g., MongoDB, Cosmos DB)

Experience with Vector Databases (e.g., FAISS, Pinecone, Qdrant)

Knowledge of embedding & chunking techniques

Experience in building RAG (Retrieval-Augmented Generation) based solutions

Strong grasp of retrieval methods and information retrieval

We are looking for Data Science / Machine LearningTrainer (In-house)with at least 1+ year of teaching experience.

Job Description

• Taking Data Science batches in Online and Offline mode.
• Must have training experience in Python, SQL, Data Analytics, and ML.
• Provide demo sessions when required.
• Deliver training on basic to advanced modules.
• Help students in the practical execution of Data Analytics concepts.
• Should have a minimum of 1 to 2 years of experience in providing Data Science & Analytics training.
• Excellent interpersonal and communication skills.
• Handle all queries related to Data Science.

Job Types: Full-time (Offline)

Salary: As per industry standard

Education: Master's preferred

Job Type: Full-time

Pay: From ₹300,000.00 per year

Work Location: In person

Why Join Us?
Are you inspired to grow your career at one of
India's Top 25 Best Workplaces in IT industry?
Do you want to do the best work of your life at one of the
fastest growing IT services companies
? Do you aspire to thrive in an award-winning work culture that
values your talent and career aspirations
? It's
happening right here
at Iris Software.

About Iris Software
At Iris Software, our vision is to be our client's most trusted technology partner, and the first choice for the industry's top professionals to realize their full potential. With over 4,300 associates across India, U.S.A, and Canada, we help our enterprise clients thrive with technology-enabled transformation across financial services, healthcare, transportation & logistics, and professional services.

Our work covers complex, mission-critical applications with the latest technologies, such as high-value complex Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation.

Working at Iris
Be valued, be inspired, be your best.
At Iris Software, we invest in and create a culture where colleagues feel valued, can explore their potential, and have opportunities to grow.

Our employee value proposition (EVP) is about "Being Your Best" – as a professional and person. It is about being challenged by work that inspires us, being empowered to excel and grow in your career, and being part of a culture where talent is valued. We're a place where everyone can discover and be their best version.

Job Description
Key Responsibilities
:

• Design, implement, and maintain data science pipelines from data ingestion to model deployment.
• Collaborate with data scientists to operationalize ML models and algorithms in production environments.
• Develop robust APIs and services for ML model inference and integration.
• Build and optimize large-scale data processing systems using Spark, Pandas, or similar tools.
• Ensure data quality and pipeline reliability through rigorous testing, validation, and monitoring.
• Work with cloud infrastructure (AWS) for scalable ML deployment.
• Manage model versioning, feature engineering workflows, and experiment tracking.
• Optimize performance of models and pipelines for latency, cost, and throughput.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
• 5+ years of experience in a data science, ML engineering, or software engineering role.
• Proficiency in Python (preferred) and SQL; knowledge of Java, Scala, or C++ is a plus.
• Experience with data science libraries like Scikit-learn, XGBoost, TensorFlow, or PyTorch.
• Familiarity with ML deployment tools such as ML flow, Sage Maker, or Vertex AI.
• Solid understanding of data structures, algorithms, and software engineering best practices.
• Experience working with databases (SQL, NoSQL) and data lakes (e.g., Delta Lake, Big Query).

Preferred Qualifications

• Experience with containerization and orchestration (Docker, Kubernetes).
• Experience working in Agile or cross-functional teams.
• Familiarity with streaming data platforms (Kafka, Spark Streaming, Flink).

Soft Skills

• Strong communication skills to bridge technical and business teams.
• Excellent problem-solving and analytical thinking.
• Self-motivated and capable of working independently or within a team.
• Passion for data and a curiosity-driven mindset.

Mandatory Competencies
Data Science and Machine Learning - Data Science and Machine Learning - AI/ML

Beh - Communication

Data Science and Machine Learning - Data Science and Machine Learning - Python

Data Science and Machine Learning - Data Science and Machine Learning - Pytorch

Programming Language - Python - Panda

Perks And Benefits For Irisians
At Iris Software, we offer world-class benefits designed to support the financial, health and well-being needs of our associates to help achieve harmony between their professional and personal growth. From comprehensive health insurance and competitive salaries to flexible work arrangements and ongoing learning opportunities, we're committed to providing a supportive and rewarding work environment.

Join us and experience the difference of working at a company that values its employees' success and happiness.

Join us as a Data Science & Business Intelligence Platform Lead

• Were looking for someone who can influence and have organisational skills to lead us toagreed targets
• Are you ready to take on a role where your influence and organizational skills can truly shine? Join our dynamic Data Technology Platforms team within Data & Analytics and lead us to achieve our ambitious targets.
• Youll be delivering, owning and maintaining the platforms operational stability and performance technology
• We're offering this role at director level

What you'll do

In this exciting role, you'll own the remediation of technical issues and drive the simplification and improvement of our platform architecture and technology. You'll build the platform roadmap, collaborating with centres of excellence to ensure you have the right resources. Your expertise will optimize business solutions for our customers' needs and align with our overall technology strategy. On top of this, you'll . Youll be able to really make this role your own, allowing excellent exposure for you and your work.

Youll also be:

• Taking ownership of the financial, commercial and flow performance of the platform
• Managing the platform risk culture, making sure that teams effectively collaborate to mitigate risk
• Delivering the regulatory reporting and managing the relevant budgets provided
• Leading strategic initiatives, manage high-performing teams, and deliver scalable AI solutions in a regulated financial environment

The skills you'll need

In this role, youll need to have in-depth domain or platform product knowledge and experience. You should have at least 18 years of experience with considerable AI skills, including experience with machine learning, natural language processing, and AI-driven analytics and teams.

Youll also be expected to have:

• Knowledge and experience with AWS, Azure, and Google Cloud Provider
• Proven experience with GenAI (LLMs, prompt engineering)
• Business intelligence knowledge and experience of working in banking/financial insititution
• Strong AWS cloud and ML infrastructure skills
• Strong leadership skills, including Agile and servant leadership experience
• Architecture, design, and engineering skills relevant to the specific platform
• Experience working and running high-performance, large-scale Agile and non-Agile programs, projects, and teams

At GKM IT, we are looking for a Data Science- Lead to drive our AI and ML initiatives, manage a growing team of data scientists, and lead the design and deployment of machine learning solutions that solve real-world business problems.

Requirements

• 7+ years of experience in data science or machine learning roles
• Proven ability to oversee a team of senior, junior data scientists, and interns
• Experience in planning and prioritizing projects aligned with business goals
• Strong mentorship skills to guide and upskill team members on new techniques and solutions
• Ability to manage team workload and ensure efficient delivery
• End-to-end experience designing ML systems, from data gathering to deployment
• Deep involvement in machine learning research and implementation of academic papers
• Experience with generative AI and large language models
• Proficient in applying machine learning and deep learning techniques to complex problems
• Strong project management and leadership capabilities
• Comfortable with client interactions and delivering high-level presentations
• Solid understanding of statistics and probability
• Expert-level Python programming and object-oriented design skills
• Strong grasp of data structures and algorithms
• Hands-on experience with ML/DL libraries like Scikit-learn, Keras, TensorFlow, PyTorch
• Expertise in ML algorithms including Logistic/Linear Regression, Gradient Descent, Decision Trees, and SVM
• Strong experience with Transformer-based architectures and LLMs
• Ability to read, interpret, and implement advanced ML research papers
• Skilled in building LLM applications using frameworks such as LangChain and LlamaIndex

Benefits

We don't just hire employees—we invest in people. At
GKM IT
, we've designed a benefits experience that's thoughtful, supportive, and actually useful. Here's what you can look forward to:

• Top-Tier Work Setup
  You'll be equipped with a premium MacBook and all the accessories you need. Great tools make great work.
• Flexible Schedules & Remote Support
  Life isn't 9-to-5. Enjoy flexible working hours, emergency work-from-home days, and utility support that makes remote life easier.
• Quarterly Performance Bonuses
  We don't believe in waiting a whole year to celebrate your success. Perform well, and you'll see it in your pay check—quarterly.
• Learning is Funded Here
  Conferences, courses, certifications—if it helps you grow, we've got your back. We even offer a dedicated educational allowance.
• Family-First Culture
  Your loved ones matter to us too. From birthday and anniversary vouchers (Amazon, BookMyShow) to maternity and paternity leaves—we're here for life outside work.
• Celebrations & Gifting, The GKM IT Way
  Onboarding hampers, festive goodies (Diwali, Holi, New Year), and company anniversary surprises—it's always celebration season here.
• Team Bonding Moments
  We love food, and we love people. Quarterly lunches, dinners, and fun company retreats help us stay connected beyond the screen.
• Healthcare That Has You Covered
  Enjoy comprehensive health insurance for you and your family—because peace of mind shouldn't be optional.
• Extra Rewards for Extra Effort
  Weekend work doesn't go unnoticed, and great referrals don't go unrewarded. From incentives to bonuses—you'll feel appreciated.

Data mining or extracting usable data from valuable data sources.

Using machine learning tools to select features, create and optimize classifiers.

Processing, cleansing, and validating the integrity of data to be used for analysis.

Required Candidate profile

Should have exp of Data Science, Machine learning, Hive, Hadoop,Python, SQL, NLP, Gen AI etc.

Should have Team handling and US Client handling exp.

Should be open for Chennai (Mandatory)

Company Description

Belen ITS is a fast-growing technology company specializing in Java, Angular, and Artificial Intelligence. Founded in 2021, the company has over a decade of industry experience in delivering transformative, tailor-made solutions in software development, QA, AI, and data analytics. With 200+ skilled consultants in the USA and a growing team in India, Belen ITS is known for its innovative projects and flexible, inclusive culture. Headquartered in San Antonio, Texas, and with a global delivery center in Hyderabad, India, Belen ITS provides agile, scalable, and cost-effective IT solutions for medium to large enterprises.

Role Description

This is a full-time, on-site role for a Data Science & Analytics professional located in Hyderabad. The role involves applying data science techniques to solve business problems, performing data analysis, and leveraging analytical skills to provide actionable insights. The professional will work closely with cross-functional teams to gather data, perform statistical analysis, and develop predictive models. Daily tasks include data mining, reporting, and visualization to support decision-making processes.

Qualifications

• Possess strong Data Science and Data Analytics skills
• Proficient in Data Analysis and Statistics
• Excellent Analytical Skills
• Proficiency with programming languages such as Python or R
• Experience with data visualization tools like Tableau or Power BI
• Ability to work collaboratively in a team environment
• Strong problem-solving skills
• Bachelor's degree in Data Science, Statistics, Computer Science, or related field
• Experience in the IT industry is a plus