165 AI jobs in Coimbatore

About the Company

ZeTheta Algorithms Private Limited is a FinTech start-up which has been recently set up and is developing innovative AI tools.

About the Role

As a Data Scientist intern, you will work on cutting-edge projects involving financial data analysis, investment research, and risk modelling. You will have the opportunity to engage in multiple mini-projects or take up a focused innovation-based research project. The project experience is designed to provide practical exposure to data science in the context of asset management, trading, and financial technology. We provide problem statements, methodology and after you submit your solution to develop the solutions/ model, we also showcase to you sample solution. You can use our sample solution to modify your project submission and expand further based on suggestions given in our sample solution. You can opt for your own research based data science solution to develop/ model.

Responsibilities

• Conduct data cleaning, wrangling, and pre-processing for financial datasets.
• Assist investment teams in equity research, fixed income research, portfolio management, and economic analysis.
• Apply statistical techniques to financial problems such as credit risk modelling, probability of default, and value-at-risk estimation.
• Work with big data sources including financial reports, macroeconomic datasets, and alternative investment data.
• Use either one – Python, Excel or R to analyse, visualize, and model financial data.
• Participate in research projects related to quantitative trading, financial derivatives, and portfolio optimization.

Who Should Apply?

• Any student even without coding skills can upskill (self learning) to develop Data Science Solutions. Some basic knowledge of Excel or Python or R script can help complete the projects quicker. We permit the use of all LLMs/ NLPs to help students to develop the solutions.
• Strong problem-solving and analytical skills.
• Able to self-learn and work independently in a remote, flexible environment.

Internship Details

• Duration: Option of 1 month, 2 month, 3 month, 4 month or 6 months
• Timing: Self-paced.
• Type: Unpaid

NLP Data Science Intern

Did you notice a shortage of food at supermarkets during covid? Have you heard about the recent issues in the global shipping industry? or perhaps you’ve heard about the shortages of microchips? These problems are called supply chain disruptions. They have been increasing in frequency and severity. Supply chain disruptions are threatening our very way of life.

Our vision is to advance society’s capacity to withstand shocks and stresses. Kavida.ai believes the only way to ensure security is through supply chain resiliency. We are on a mission to help companies proactively manage disruption supply chain disruption risks using integrated data.

Our Story

In March 2020 over 35 academics, data scientists, students, and software engineering volunteers came together to address the food shortage issues caused by the pandemic - Covid19foodsupply.com. A core team of 9 was formed and spun off into a startup and the rest is history.

Our investors include one of the world's largest supply chain quality & compliance monitoring companies, a £1.25bn apparel manufacturer, and some very impressive angel investors.

Social Impact:

Social impact is in our DNA. We believe private sector innovation is the only way to address social problems at scale. If we achieve our mission, humanity will always have access to its essential goods for sustenance. No more shortages of food, PPE, medicine, etc.

Our Culture :

Idea Meritocracy:

The best ideas win. We only care about what is right, not who is right. We know arriving at the best answer requires constructive tension. Sometimes it can get heated but it's never personal. Everyone contributes to better ideas knowing they will be heard but also challenged.

Drivers Not Passengers:

We think as owners who drive the bus, not as passengers. We are self-starters and never wait for instructions. We are hungry for autonomy, trust, and responsibility. Everyone is a leader because we know leadership is a trait, not a title. Leaders drive growth and navigate the chaos.

We Figure Out The Answers:

We trust our ability to figure stuff out. We do not need all the information to start answering the question. We can connect the dots and answer difficult questions with logic.

Customer & Mission Obsessed:

Our customers are our heroes and we are obsessed with helping them. We are obsessed with; understanding their supply chains better, resolving their biggest headaches, and advancing their competitiveness.

Learning and growth

We all take personal responsibility for becoming smarter, wiser, more skilled, happier. We are obsessed with learning about our industry and improving our own skills. We are obsessed with our personal growth; to become more.

Job Description:

As a member of our Research team, you will be responsible for researching, developing, and coding Agents using state-of-the-art LLM's with automated pipelines.

• Write code for the development of our ML engines and micro-services pipelines.
• use, optimize, train, and evaluate state-of-the-art GPT models.
• research and Develop Agentic pipelines using LLM's.
• research and develop RAG based pipeline using vector DB's .

Essential Requirements:

• prompt engineering and Agentic LLm frameworks like langchain/llama index
• good enough undersanding of vectors/tensors and RAG pipelines
• Knowledge of building NLP systems using transfer learning or building custom NLP systems from scratch using TensorFlow or PyTorch.
• In-depth knowledge of DSA, async, python, and containers.
• Knowledge of transformers and NLP techniques is essential, and deployment experience is a significant advantage.

Salary Range: ₹15000 - ₹25000

We are offering a full-time internship position to final-year students. The internship will last for an initial period of 6-12 months before converting to a full-time job, depending on suitability for both parties. If the applicant is a student who needs to return to university, they can continue with the program on a part-time basis.

We're Hiring for Data Science Instructors (100% Teaching Role) (Night Shift Only)

for Full Time & Permanent Remote opportunity!

Vacancy - 5

Minimum 4 years (Full Time) of experience in Teaching/Non Teaching in Data Science is a MUST

Budget - 50-75k Per Month (Gross) (Fixed) + Incentives As per Class Performance

SkillArbitrage is looking for passionate educators to empower aspiring data professionals

What we’re looking for: #Python, #Excel, #SQL, #Tableau, #PowerBI, #ML, and #datavisualization

Substantial Experience in IT (Non Teaching Domain)

Ability to simplify complex concepts with clarity

Strong judgment, creativity, and content development skills

Strong proficiency in English communication

Responsibilities :

Develop and deliver engaging curriculum.

Provide constructive feedback and assess student progress.

Collaborate with students and team members effectively.

If you’re excited to inspire and shape the future of data science, send updated CVs to

You can also directly reach me on (WhatsApp only)

Key Responsibilities:

• Develop, train, and validate predictive and analytical models using machine learning techniques.
• Collaborate with data engineers and business teams to define data requirements and success metrics.
• Deploy machine learning models into production using ML Ops best practices.
• Build automated pipelines for model training, testing, monitoring, and retraining.
• Optimize model performance and ensure scalability and reliability.
• Monitor model drift, performance degradation, and ensure continuous improvement.
• Implement CI/CD practices for machine learning workflows.

Technical Skills Required:

• Strong proficiency in Python (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow).
• Experience with ML Ops tools/frameworks (MLflow, Kubeflow, Airflow, SageMaker, Vertex AI, or Azure ML).
• Good understanding of data engineering concepts (ETL, data pipelines, APIs).
• Hands-on with containerization and orchestration (Docker, Kubernetes).
• Knowledge of cloud platforms (AWS, GCP, or Azure) for ML model deployment.
• Strong background in statistics, machine learning algorithms, and model evaluation techniques .
• Familiarity with version control (Git) and CI/CD pipelines.

Preferred Qualifications:

• Bachelor’s/Master’s degree in Computer Science, Data Science, Statistics, or related field.
• Experience in handling large-scale data pipelines and real-time model serving .
• Exposure to feature stores and automated model monitoring.
• Strong problem-solving, analytical, and communication skills.

Are you passionate about transforming data into actionable insights? Do you thrive in a fast-paced, innovative environment? We’re looking for a Data Science Analyst to join our team and help us drive data-informed decisions that shape the future of our business.

What You’ll Do

• Analyze complex datasets to uncover trends, patterns, and actionable insights.
• Develop predictive models and statistical analyses to support business strategies.
• Collaborate with cross-functional teams to understand data needs and deliver solutions.
• Build dashboards and visualizations to communicate findings effectively to stakeholders.
• Stay ahead of data trends and implement best practices in analytics and machine learning.

What We’re Looking For

• Bachelor's or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
• Strong programming skills in Python, R, or SQL.
• Experience with data visualization tools (Tableau, Power BI, etc.).
• Solid understanding of machine learning algorithms and statistical methods.
• Excellent problem-solving and communication skills.
• A curious mindset with a passion for exploring data.

Why Join Us?

• Opportunity to work on exciting, high-impact projects.
• Collaborative and supportive work environment.
• Resources for professional development and growth.
• A chance to shape the future of data-driven decision-making.

We're Hiring for Data Science Instructors (100% Teaching Role) (Night Shift Only)

for Full Time & Permanent Remote opportunity!

Vacancy - 5

Minimum 4 years (Full Time) of experience in Teaching/Non Teaching in Data Science is a MUST

Budget - 50-75k Per Month (Gross) (Fixed) + Incentives As per Class Performance

SkillArbitrage is looking for passionate educators to empower aspiring data professionals

What we’re looking for: #Python, #Excel, #SQL, #Tableau, #PowerBI, #ML, and #datavisualization

Substantial Experience in IT (Non Teaching Domain)

Ability to simplify complex concepts with clarity

Strong judgment, creativity, and content development skills

Strong proficiency in English communication

Responsibilities :

Develop and deliver engaging curriculum.

Provide constructive feedback and assess student progress.

Collaborate with students and team members effectively.

If you’re excited to inspire and shape the future of data science, send updated CVs to

You can also directly reach me on (WhatsApp only)

Key Responsibilities:

• Develop, train, and validate predictive and analytical models using machine learning techniques.
• Collaborate with data engineers and business teams to define data requirements and success metrics.
• Deploy machine learning models into production using ML Ops best practices.
• Build automated pipelines for model training, testing, monitoring, and retraining.
• Optimize model performance and ensure scalability and reliability.
• Monitor model drift, performance degradation, and ensure continuous improvement.
• Implement CI/CD practices for machine learning workflows.

Technical Skills Required:

• Strong proficiency in Python (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow).
• Experience with ML Ops tools/frameworks (MLflow, Kubeflow, Airflow, SageMaker, Vertex AI, or Azure ML).
• Good understanding of data engineering concepts (ETL, data pipelines, APIs).
• Hands-on with containerization and orchestration (Docker, Kubernetes).
• Knowledge of cloud platforms (AWS, GCP, or Azure) for ML model deployment.
• Strong background in statistics, machine learning algorithms, and model evaluation techniques .
• Familiarity with version control (Git) and CI/CD pipelines.

Preferred Qualifications:

• Bachelor’s/Master’s degree in Computer Science, Data Science, Statistics, or related field.
• Experience in handling large-scale data pipelines and real-time model serving .
• Exposure to feature stores and automated model monitoring.
• Strong problem-solving, analytical, and communication skills.