15,029 AI Researchers jobs in India

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
  .

Job Description – Data Science Trainer

Location: Nal Stop, Pune

Job Description : Minimum 1 years experiance

Key Responsibilities:

• Conduct in-depth training sessions on Python, Data Analysis, Statistics, and Machine Learning.
• Develop and update course materials, assignments, and real-world project modules.
• Guide students through hands-on projects, providing technical and conceptual support.
• Continuously upgrade knowledge of tools like pandas, NumPy, and visualization libraries.

Job Type: Full-time

Pay: ₹400, ₹700,000.00 per year

Benefits:

• Cell phone reimbursement
• Internet reimbursement
• Leave encashment
• Paid sick time
• Paid time off

Work Location: In person

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:

• Bachelors or Masters 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

By clicking the "Apply" button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda's Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.

The Future Begins Here

At Takeda, we are leading digital evolution and global transformation. By building innovative solutions and future-ready capabilities, we are meeting the need of patients, our people, and the planet.

Bengaluru, the city, which is India's epicenter of Innovation, has been selected to be home to Takeda's recently launched Innovation Capability Center. We invite you to join our digital transformation journey. In this role, you will have the opportunity to boost your skills and become the heart of an innovative engine that is contributing to global impact and improvement.

At Takeda's ICC we Unite in Diversity

Takeda is committed to creating an inclusive and collaborative workplace, where individuals are recognized for their backgrounds and abilities they bring to our company. We are continuously improving our collaborators journey in Takeda, and we welcome applications from all qualified candidates. Here, you will feel welcomed, respected, and valued as an important contributor to our diverse team.

The Opportunity

As a Data Scientist, you will have the opportunity to apply your analytical skills and expertise to extract meaningful insights from vast amounts of data. We are currently seeking a talented and experienced individual to join our team and contribute to our data-driven decision-making process.

Objectives/Purpose: Emphasize the design, development, and deployment of AI/Gen AI models in production environments, along with a strong focus on data engineering and end-to-end architectural understanding.

Accountabilities:

• Data Engineering: Design and implement robust data pipelines and ETL processes to support AI/Gen AI model development and deployment.
• AI/Gen AI Model Deployment: Lead the deployment of AI/Gen AI models in production environments, ensuring scalability, reliability, and maintainability.
• End-to-End Architecture: Develop and maintain comprehensive architectural documentation, ensuring alignment with enterprise architecture principles.
• Compliance and Standards: Ensure all solutions comply with architectural, security, and privacy standards.
• Collaboration: Work closely with data scientists, data engineers, and other stakeholders to deliver high-quality AI solutions.
• Continuous Improvement: Establish and institutionalize regular reviews for solution adoption and continuous improvement.
• Continuously improve model performance by analyzing and refining model architectures and processes.
• Familiarity with containerization tools (e.g., Docker, Kubernetes) for deploying models.
• Experience with model monitoring and performance tracking in production environments.

Education, Behavioral Competencies, and Skills

• Education: Bachelor's or Master's degree in Computer Science, Data Engineering, or related fields.
• Experience: 5+ years of experience in data engineering, AI/Gen AI model deployment, and end-to-end architectural design.
• Technical Skills: Proficiency in SQL, Databricks, Python, R, and cloud platforms (e.g., AWS, Azure, GCP). Experience with MLOps tools and frameworks.
• Architectural Skills: Strong understanding of data architecture, data warehousing, and data governance.
• Soft Skills: Excellent communication and leadership skills, with the ability to mentor and guide development teams.

Additional Sections

• AI/Gen AI Focus: Highlight specific experience with AI/Gen AI technologies and frameworks (e.g., TensorFlow, PyTorch, Hugging Face).
• Data Engineering Focus: Emphasize experience with data engineering tools and technologies (e.g., Apache Spark, Kafka, Airflow).
• Production Environment: Detail experience in deploying and managing AI models in production environments, including monitoring and optimization.

WHAT TAKEDA CAN OFFER YOU:

• Takeda is certified as a Top Employer, not only in India, but also globally. No investment we make pays greater dividends than taking good care of our people.
• At Takeda, you take the lead on building and shaping your own career.
• Joining the ICC in Bengaluru will give you access to high-end technology, continuous training and a diverse and inclusive network of colleagues who will support your career growth.

BENEFITS:

It is our priority to provide competitive compensation and a benefit package that bridges your personal life with your professional career. Amongst our benefits are:

• Competitive Salary + Performance Annual Bonus
• Flexible work environment, including hybrid working
• Comprehensive Healthcare Insurance Plans for self, spouse, and children
• Group Term Life Insurance and Group Accident Insurance programs
• Health & Wellness programs including annual health screening, weekly health sessions for employees.
• Employee Assistance Program
• 3 days of leave every year for Voluntary Service in additional to Humanitarian Leaves
• Broad Variety of learning platforms
• Diversity, Equity, and Inclusion Programs
• Reimbursements – Home Internet & Mobile Phone
• Employee Referral Program
• Leaves – Paternity Leave (4 Weeks) , Maternity Leave (up to 26 weeks), Bereavement Leave (5 calendar days)

ABOUT ICC IN TAKEDA:

• Takeda is leading a digital revolution. We're not just transforming our company; we're improving the lives of millions of patients who rely on our medicines every day.
• As an organization, we are committed to our cloud-driven business transformation and believe the ICCs are the catalysts of change for our global organization.

IND - Bengaluru

Employee

Regular

Full time

Role: Data Scientist

Experience: 4 to 8 Years

Location: Gurugram / Bengaluru (On-site, 5 days a week)

Employment Type: Full-time

Key Skills & Technologies:

• Large Language Models (LLM) fine-tuning, prompt engineering, evaluation
• RAG (Retrieval-Augmented Generation) – implementation, optimization, and scaling
• Agentic AI systems – AI agents, multi-agent orchestration, workflows
• Proficiency in Python and common ML/NLP libraries (Transformers, LangChain, etc.)
• Experience with Vector Databases (e.g., FAISS, Pinecone, Weaviate)
• Familiarity with cloud platforms (AWS, GCP, or Azure) and MLOps tools

Key Responsibilities:

• Design and build intelligent systems leveraging LLMs and RAG architectures
• Develop and deploy Agentic AI systems for autonomous task handling
• Collaborate closely with product and engineering teams to translate ideas into AI-driven solutions
• Drive experimentation and continuously optimize models and systems
• Maintain and improve pipelines for training, fine-tuning, and deployment

Requirements:

• 4–8 years of relevant industry experience in AI/ML or Data Science
• Strong foundation in Machine Learning, NLP, and Deep Learning
• Prior experience building applications using LLMs, RAG pipelines, or autonomous agents
• Ability to work onsite 5 days a week in Gurugram or Bengaluru

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.