128 AI Scientist jobs in Coimbatore

Independent Contractor Opportunity – Associate Data Scientist (India)

Remote / Contract Basis

We are a U.S.-based company looking to engage an India-based independent contractor to contribute to our AI/ML research and development initiatives. This is a consultancy role, not a formal employment position, and will be governed by a consulting agreement detailing confidentiality, deliverables, intellectual property rights, and payment terms.

Key Responsibilities

As an independent contractor, your duties will include:

• Building, training, and deploying machine learning models—primarily in PyTorch—on on-prem servers.
• Running and adapting models from external sources (e.g., Kaggle, research papers) and assisting in developing original models tailored to our needs.
• Supporting large language model (LLM) projects, including experimentation, fine-tuning, and evaluation.
• Collaborating with senior engineers and data scientists to implement scalable systems.
• Performing data preprocessing, feature engineering, and experimentation pipeline setup.
• Occasionally reviewing or working with code in other languages (e.g., C, Verilog), with a primary focus on Python.
• Keeping current with ML research, frameworks, and tools.

Required Qualifications

• B.Tech/BE in Computer Science, Data Science, AI, or a related field.
• 0–2 years of experience in machine learning, or internship/project-based experience.
• Strong programming skills in Python and PyTorch.
• Familiarity with ML model training, validation, and tuning.
• Comfort with managing datasets and experimental code.
• Understanding of basic ML models (CNNs, RNNs, Transformers).
• Experience working on Linux-based servers and resource-constrained environments.

Preferred Qualifications

• Familiarity with LLM tools (e.g., Hugging Face, OpenAI, Claude, Gemini) and knowledge of prompt engineering.
• Experience with community-based model development (e.g., Kaggle).
• Exposure to cloud platforms (AWS, GCP), though primary deployment is on-prem.
• Knowledge of MLOps tools (e.g., MLflow, Weights & Biases).
• Basic understanding of C or willingness to engage with low-level systems.

Soft Skills

• Analytical thinking and attention to detail.
• Eagerness to learn and receive mentorship.
• Strong communication skills and collaborative mindset.

Compensation

• Monthly consulting fee: $800 – $1,200 USD , based on experience and demonstrated capability.
• Contractors are responsible for any applicable taxes or regulatory filings in their jurisdiction.

Legal and Administrative Notes

• This is a contract/consulting role. You will not be an employee of the company.
• You will be expected to sign a consulting agreement covering deliverables, timelines, IP rights, confidentiality, and payment terms.
• You will be paid monthly.
• Payment will be made via international wire transfer or another mutually agreed-upon method.

Performance Tracking and Communication

To ensure accountability and maintain clear visibility into the contractor’s contributions, we will implement the following practices:

• Daily Standups: Short updates to align on progress and blockers.
• GitHub Activity Monitoring: Regular reviews of code commits and repository contributions.
• Slack Monitoring: Oversight of communication and responsiveness within designated work channels.
• Sprint-Based Reviews: Periodic evaluations aligned with project sprints to assess deliverables and progress.

Be a part of India’s largest and most admired news network!

Network18 is India's most diversified Media Company in the fast growing Media market. The Company has a strong Heritage and we possess a strong presence in Magazines, Television and Internet domains. Our brands like CNBC, Forbes and Moneycontrol are market leaders in their respective segments. The Company has over 7,000 employees across all major cities in India and has been consistently managed to stay ahead of the growth curve of the industry.

Network 18 brings together employees from varied backgrounds under one roof united by the hunger to create immersive content and ideas. We take pride in our people, who we believe are the key to realizing the organization’s potential. We continually strive to enable our employees to realize their own goals, by providing opportunities to learn, share and grow.

Role Overview:

We are seeking a passionate and skilled Data Scientist with over a year of experience to join our dynamic team. You will be instrumental in developing and deploying machine learning models, building robust data pipelines, and translating complex data into actionable insights. This role offers the opportunity to work on cutting-edge projects involving NLP, Generative AI, data automation, and cloud technologies to drive business value.

Key Responsibilities:

• Design, develop, and deploy machine learning models, with a strong focus on NLP (including advanced techniques and Generative AI) and other AI applications.
• Build, maintain, and optimize ETL pipelines for automated data ingestion, transformation, and standardization from various sources
• Work extensively with SQL for data extraction, manipulation, and analysis in environments like BigQuery.
• Develop solutions using Python and relevant data science/ML libraries (Pandas, NumPy, Hugging Face Transformers, etc.).
• Utilize Google Cloud Platform (GCP) services for data storage, processing, and model deployment.
• Create and maintain interactive dashboards and reporting tools (e.g., Power BI) to present insights to stakeholders.
• Apply basic Docker concepts for containerization and deployment of applications.
• Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.
• Stay abreast of the latest advancements in AI/ML and NLP best practices.

Required Qualifications & Skills:

• 1 to 4 years of hands-on experience as a Data Scientist or in a similar role.
• Solid understanding of machine learning fundamentals, algorithms, and best practices.
• Proficiency in Python and relevant data science libraries.
• Good SQL skills for complex querying and data manipulation.
• Demonstrable experience with Natural Language Processing (NLP) techniques, including advanced models (e.g., transformers) and familiarity with Generative AI concepts and applications.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.

Preferred Qualifications & Skills:

• Familiarity and hands-on experience with Google Cloud Platform (GCP) services, especially BigQuery, Cloud Functions, and Vertex AI.
• Basic understanding of Docker and containerization for deploying applications.
• Experience with dashboarding tools like Power BI and building web applications with Streamlit.
• Experience with web scraping tools and techniques (e.g., BeautifulSoup, Scrapy, Selenium).
• Knowledge of data warehousing concepts and schema design.
• Experience in designing and building ETL pipelines.

Disclaimer: Please note Network18 and related group companies do not use the services of vendors or agents for recruitment. Please beware of such agents or vendors providing assistance. Network18 will not be responsible for any losses incurred.

“We correspond only from our official email address”

Be a part of India’s largest and most admired news network!

Network18 is India's most diversified Media Company in the fast growing Media market. The Company has a strong Heritage and we possess a strong presence in Magazines, Television and Internet domains. Our brands like CNBC, Forbes and Moneycontrol are market leaders in their respective segments. The Company has over 7,000 employees across all major cities in India and has been consistently managed to stay ahead of the growth curve of the industry.

Network 18 brings together employees from varied backgrounds under one roof united by the hunger to create immersive content and ideas. We take pride in our people, who we believe are the key to realizing the organization’s potential. We continually strive to enable our employees to realize their own goals, by providing opportunities to learn, share and grow.

Role Overview:

We are seeking a passionate and skilled Data Scientist with over a year of experience to join our dynamic team. You will be instrumental in developing and deploying machine learning models, building robust data pipelines, and translating complex data into actionable insights. This role offers the opportunity to work on cutting-edge projects involving NLP, Generative AI, data automation, and cloud technologies to drive business value.

Key Responsibilities:

• Design, develop, and deploy machine learning models, with a strong focus on NLP (including advanced techniques and Generative AI) and other AI applications.
• Build, maintain, and optimize ETL pipelines for automated data ingestion, transformation, and standardization from various sources
• Work extensively with SQL for data extraction, manipulation, and analysis in environments like BigQuery.
• Develop solutions using Python and relevant data science/ML libraries (Pandas, NumPy, Hugging Face Transformers, etc.).
• Utilize Google Cloud Platform (GCP) services for data storage, processing, and model deployment.
• Create and maintain interactive dashboards and reporting tools (e.g., Power BI) to present insights to stakeholders.
• Apply basic Docker concepts for containerization and deployment of applications.
• Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.
• Stay abreast of the latest advancements in AI/ML and NLP best practices.

Required Qualifications & Skills:

• 1 to 4 years of hands-on experience as a Data Scientist or in a similar role.
• Solid understanding of machine learning fundamentals, algorithms, and best practices.
• Proficiency in Python and relevant data science libraries.
• Good SQL skills for complex querying and data manipulation.
• Demonstrable experience with Natural Language Processing (NLP) techniques, including advanced models (e.g., transformers) and familiarity with Generative AI concepts and applications.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.

Preferred Qualifications & Skills:

• Familiarity and hands-on experience with Google Cloud Platform (GCP) services, especially BigQuery, Cloud Functions, and Vertex AI.
• Basic understanding of Docker and containerization for deploying applications.
• Experience with dashboarding tools like Power BI and building web applications with Streamlit.
• Experience with web scraping tools and techniques (e.g., BeautifulSoup, Scrapy, Selenium).
• Knowledge of data warehousing concepts and schema design.
• Experience in designing and building ETL pipelines.

Disclaimer: Please note Network18 and related group companies do not use the services of vendors or agents for recruitment. Please beware of such agents or vendors providing assistance. Network18 will not be responsible for any losses incurred.

“We correspond only from our official email address”

Designation- Instructor- Data Science/Machine Learning

BU- Working Professional

Location- Work from Home

Salary Range- 10LPA- 12LPA

Work schedule:

Live Session- Monday to Friday- 2hrs/per day in the evening, 7:30 pm-9:30 pm

Live Session- Saturday & Sunday- 10hrs/per day from 10:00 am- 10:00 pm

Key Responsibilities:

• Live Instruction: Teach core DS/ML topics (supervised & unsupervised learning, deep learning, model evaluation, MLOps) through interactive sessions.
• Curriculum Collaboration: Work with content teams to design labs, code walkthroughs, and real-world case studies using Python, scikit-learn, TensorFlow/PyTorch, and cloud-based DS/ML services.
• Learner Support: Field technical questions, debug code, review notebooks, and provide actionable feedback on assignments and projects.
• Project Mentorship: Guide capstone work—e.g., image/video models, NLP pipelines, recommendation systems, and deployment pipelines.
• Continuous Improvement: Analyze learner performance data to refine modules, introduce emerging topics (e.g., transformers, generative models), and enhance assessments.

Requirements:

• 3+ years of industry or academic experience in DS/ML or AI.
• Minimum Master’s degree in DS or ML &AI or CS specialization in AI & DS/ML
• Proficiency in Python and ML frameworks (scikit-learn, TensorFlow or PyTorch).
• Familiarity with MLOps tools (Docker, Kubernetes, MLflow) and cloud ML services (AWS SageMaker, GCP AI Platform, or Azure ML).
• Excellent presentation and mentoring skills in live and small-group settings.
• Prior teaching or edtech experience is a strong plus.

BU: Working Professional

Job Title: Asst Manager- DS/ML Location: WFH

Experience Required: 3-8 years

Work schedule: Live Session- Monday to Friday2hrs/per day in the evening, 7:30 pm-9:30 pm Live Session- Saturday & Sunday- 10hrs/per day from 10:00 am- 10:00 pm Key Responsibilities:

 Live Instruction: Teach core DS/ML topics (supervised & unsupervised learning, deep learning, model evaluation, MLOps) through interactive sessions.

Curriculum Collaboration: Work with content teams to design labs, code walkthroughs, and real-world case studies using Python, scikit-learn, TensorFlow/PyTorch, and cloud-based DS/ML services.

 rner Support: Field technical questions, debug code, review notebooks, and provide actionable feedback on assignments and projects. >

 ject Mentorship: Guide capstone work—e.g., image/video models, NLP pipelines, recommendation systems, and deployment pipelines.  Co nuous Improvement: Analyze learner performance data to refine modules, introduce emerging topics (e.g., transformers, generative models), and enhance assessments. >

Requirements:

 years of industry or academic experience in DS/ML or AI. >

 imum Master’s degree in DS or ML &AI or CS specialization in AI & DS/ML  Pr ciency in Python and ML frameworks (scikit-learn, TensorFlow or PyTorch). >

 iliarity with MLOps tools (Docker, Kubernetes, MLflow) and cloud ML services (AWS SageMaker, GCP AI Platform, or Azure ML). >

 ellent presentation and mentoring skills in live and small-group settings. >

 or teaching or edtech experience is a strong plus. >

BU: Working Professional

Job Title: Asst Manager- DS/ML Location: WFH

Experience Required: 3-8 years

Work schedule: Live Session- Monday to Friday2hrs/per day in the evening, 7:30 pm-9:30 pm Live Session- Saturday & Sunday- 10hrs/per day from 10:00 am- 10:00 pm Key Responsibilities:

Live Instruction: Teach core DS/ML topics (supervised & unsupervised learning, deep learning, model evaluation, MLOps) through interactive sessions.

Curriculum Collaboration: Work with content teams to design labs, code walkthroughs, and real-world case studies using Python, scikit-learn, TensorFlow/PyTorch, and cloud-based DS/ML services.

Learner Support: Field technical questions, debug code, review notebooks, and provide actionable feedback on assignments and projects. /p>

Project Mentorship: Guide capstone work—e.g., image/video models, NLP pipelines, recommendation systems, and deployment pipelines. >

Continuous Improvement: Analyze learner performance data to refine modules, introduce emerging topics (e.g., transformers, generative models), and enhance assessments. /p>

Requirements:

3+ years of industry or academic experience in DS/ML or AI. /p>

Minimum Master’s degree in DS or ML &AI or CS specialization in AI & DS/ML >

Proficiency in Python and ML frameworks (scikit-learn, TensorFlow or PyTorch). /p>

Familiarity with MLOps tools (Docker, Kubernetes, MLflow) and cloud ML services (AWS SageMaker, GCP AI Platform, or Azure ML). /p>

Excellent presentation and mentoring skills in live and small-group settings. /p>

Prior teaching or edtech experience is a strong plus. /p>

Designation- Instructor- Data Science/Machine Learning

BU- Working Professional

Location- Work from Home

Salary Range- 10LPA- 12LPA

Work schedule:

Live Session- Monday to Friday- 2hrs/per day in the evening, 7:30 pm-9:30 pm

Live Session- Saturday & Sunday- 10hrs/per day from 10:00 am- 10:00 pm

Key Responsibilities:

• Live Instruction: Teach core DS/ML topics (supervised & unsupervised learning, deep learning, model evaluation, MLOps) through interactive sessions.
• Curriculum Collaboration: Work with content teams to design labs, code walkthroughs, and real-world case studies using Python, scikit-learn, TensorFlow/PyTorch, and cloud-based DS/ML services.
• Learner Support: Field technical questions, debug code, review notebooks, and provide actionable feedback on assignments and projects.
• Project Mentorship: Guide capstone work—e.g., image/video models, NLP pipelines, recommendation systems, and deployment pipelines.
• Continuous Improvement: Analyze learner performance data to refine modules, introduce emerging topics (e.g., transformers, generative models), and enhance assessments.

Requirements:

• 3+ years of industry or academic experience in DS/ML or AI.
• Minimum Master’s degree in DS or ML &AI or CS specialization in AI & DS/ML
• Proficiency in Python and ML frameworks (scikit-learn, TensorFlow or PyTorch).
• Familiarity with MLOps tools (Docker, Kubernetes, MLflow) and cloud ML services (AWS SageMaker, GCP AI Platform, or Azure ML).
• Excellent presentation and mentoring skills in live and small-group settings.
• Prior teaching or edtech experience is a strong plus.