51 AI jobs in Coimbatore
Data Science Analyst
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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.
Data Science Intern
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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
Data Science Leadership Role
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We are seeking a seasoned data science manager to lead our team in developing cutting-edge NLP models for the mortgage industry.
- Data Analysis and Preprocessing:
- Analyze and preprocess diverse datasets relevant to the mortgage industry, ensuring data quality and relevance for model training.
- Model Development and Fine-Tuning:
- Research and implement state-of-the-art NLP models, focusing on pre-training as well instruction tuning pre-trained LLMs for mortgage-specific applications.
- Algorithm Implementation:
- Develop and optimize machine learning algorithms to enhance model performance, accuracy, and efficiency.
- Collaboration:
- Work with domain experts to incorporate industry knowledge into model development, ensuring outputs are relevant and actionable.
- Experimentation:
- Conduct experiments to validate model hypotheses, analyze results, and iterate on model improvements.
- Documentation:
- Maintain comprehensive documentation of methodologies, experiments, and results to support transparency and reproducibility.
- Ethics and Bias Mitigation:
- Ensure responsible AI practices are followed by identifying potential biases in data and models, implementing strategies to mitigate them.
- Technical Expertise:
- Strong background in machine learning, deep learning, and NLP.
- Proficiency in Python and experience with ML frameworks such as TensorFlow or PyTorch.
- NLP Knowledge:
- Experience with NLP frameworks and libraries (e.g., Hugging Face Transformers) for developing language models.
- Data Handling:
- Proficiency in handling large datasets, feature engineering, and statistical analysis.
- Problem Solving:
- Strong analytical skills with the ability to solve complex problems using data-driven approaches.
- Communication:
- Excellent communication skills to effectively collaborate with technical teams and non-technical stakeholders.
- Educational Background:
- Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related field.
- Cloud Computing:
- Familiarity with cloud platforms (e.g., AWS, Azure) for scalable computing solutions.
- Ethics Awareness:
- Understanding of ethical considerations in AI development, including bias detection and mitigation.
Please note that we follow a fair, transparent, and merit-based hiring process. We never ask for money at any stage.
Head of Modelling & Data Science
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Job Description:
Job Description Summary
We are seeking an experienced Advanced Analytics Senior Manager to join our dynamic team. This role focuses on leveraging advanced analytics techniques, including machine learning algorithms, Generative AI (GenAI), and large language models (LLMs), to drive data-driven decision-making within the retail/CPG domain. The ideal candidate will possess a strong quantitative background, a passion for transforming complex data into actionable insights, an extensive experience into leading mid-to-large sized teams, and the ability to create, assess and implement RFPs, POCs, approaches and frameworks.
Key Responsibilities:
Basic Qualifications:
Desired Skills:
Proficient in the following advanced analytics techniques:
Extensive knowledge of machine learning techniques, including:
Experience with Generative AI and large language models (LLMs) for text generation, summarization, and conversational agents.
Proficiency in data visualization tools such as Tableau or Power BI.
Strong skills in data management, structuring, and harmonization to support analytical needs.
Data Science Instructor (Teaching Role)
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About the Opportunity
SkillArbitrage is on the lookout for dedicated and experienced Data Science Educators who are passionate about teaching and mentoring the next generation of data professionals. If you have a knack for simplifying complex technical concepts and enjoy helping others grow, this could be your ideal role.
What We're Looking For
- Minimum 4 years of full-time experience in teaching or a non-teaching role within the Data Science domain is mandatory
- Proficiency in key tools and concepts:
- Python , Excel , SQL
- Tableau , Power BI
- Machine Learning , Data Visualization
- Strong command of English communication (spoken and written)
- Prior experience in the IT industry (non-teaching roles) is a significant advantage
- Ability to explain technical content clearly and engagingly
- Creative thinking, sound judgment, and excellent content development skills
Key Responsibilities
- Design, develop, and deliver comprehensive and interactive data science curriculum
- Conduct live online sessions with clarity and engagement
- Provide regular, constructive feedback and evaluate student progress
- Collaborate with students and internal team members to ensure academic success
- Stay updated with industry trends to keep content relevant and impactful
About our Company
ADDICTIVE LEARNING TECHNOLOGY LIMITED is a listed company focussing on talent arbitrage (i.e. remote work) opportunities for Indian professionals across diverse professional and educational backgrounds.
We believe that the next wave of economic growth will be generated from export of services and upskilling professionals for a post AI world.
What Infosys did for IT & ITeS, we are doing for any exportable service.
We are enabling Indians to work directly for US employers and clients across finance, content writing, social media, law, compliance, virtual assistant and other verticals.
We cater to learner categories across 10+ verticals currently.
Our mission is to enable service professionals across India to benefit from the export of services revolution as India progresses to generate USD 1 trillion revenues by 2030.
Our content is top-notch & future defining - 70% of our learners are above the age of 30, and our promise to them is that if they follow our guidance and direction and invest 2 hrs/day, they should be able to get new jobs that pay 30%-100% more or start earning 1-2 lakhs per month of additional income through remote work in 6-12 months.
Now, our growth hinges on identifying new career opportunities in which talent arbitrage and services exports are possible.
Here is what is different about us:
- Fully remote, work from anywhere in the world
- Work with an international team
- Only your work delivery matters, zero politics
- We share equity with our best talent so you can generate wealth and not just draw a salary
- Fast growth opportunities for those who are committed to results and top notch incentives
- 5 days working (40 hours a week)
Kickstart your career in one of India’s most impactful EdTech companies. Work remotely, learn deeply, grow fast.
Visit us at | skillarbitra.ge
Remote Data Science Analyst - 17843
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A U.S.-based company specializing in AI-driven solutions is hiring Data Scientists to collaborate on cutting-edge commercial and research AI projects. This opportunity is ideal for professionals passionate about innovation and pushing the boundaries of AI technology. In this role, you will conduct in-depth peer code reviews, provide constructive feedback, and work closely with researchers and stakeholders to ensure alignment with project objectives.
Job Responsibilities:
- Develop and optimize Python-based data science solutions using public datasets.
- Conduct peer code reviews, ensuring best practices and optimization techniques are followed.
- Work closely with researchers and stakeholders to align solutions with company goals.
- Create well-documented Python code using Jupyter notebooks.
Job Requirements:
- Bachelor’s/Master’s degree in Engineering, Computer Science, or equivalent experience.
- Knowledge of Python programming for data analysis.
- Strong understanding of data science methodologies and analysis techniques.
- Fluent in spoken and written English.
- A minimum 5-hour work overlap with PST/PT is required.
- Strong problem-solving and analytical skills.
Job Benefits:
- Work with global experts in AI and data science.
- This is a contractual remote work opportunity without traditional job constraints.
- Competitive global-standard salary in USD.
- Contribute to cutting-edge projects shaping the future of AI.
Selection Process:
- Shortlisted developers may be asked to complete an assessment.
- If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates.
- Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment.
Learning Support Specialist - ML&AI, Data Science and Data Engineering
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About Emeritus:
Emeritus is committed to teaching the skills of the future by making high-quality education accessible and affordable to individuals, companies, and governments around the world. It does this by collaborating with more than 50 top-tier universities across the United States, Europe, Latin America, Southeast Asia, India and China.
Emeritus’ short courses, degree programs, professional certificates, and senior executive programs help individuals learn new skills and transform their lives, companies and organizations. Its unique model of state-of-the-art technology, curriculum innovation, and hands-on instruction from senior faculty, mentors and coaches has educated more than 250,000 individuals across 80+ countries.
Founded in 2015, Emeritus, part of Eruditus Group, has more than 2,000 employees globally and offices in Mumbai, New Delhi, Shanghai, Singapore, Palo Alto, Mexico City, New York, Boston, London, and Dubai. Following its $650 million Series E funding round in August 2021, the Company is valued at $3.2 billion, and is backed by Accel, SoftBank Vision Fund 2, the Chan Zuckerberg Initiative, Leeds Illuminate, Prosus Ventures, Sequoia Capital India, and Bertelsmann.
About the Role:
The Learning Support Specialist is a subject matter expert and largely impacts the student experience by guiding students through their learning journey.
Candidates must have industry experience, demonstrated knowledge of the course subject area, and strong interpersonal skills. This is a full-time, remote role.
The purpose of this position is to provide assistance and aid learners enrolled in programs within the fields of machine learning and AI, data engineering, data science, and data analytics. The successful candidate will have proven experience as a data engineer and/or data scientist. The candidate must have excellent time management skills and the desire to work in a fast-paced educational tech environment where supplementing the educational journey of learners is priority. We are looking for a professional who does not mind a busy schedule and wants to provide excellent internal and external customer service.
Roles and Responsibilities:
- Monitor and respond to all student inquiries via the learning management system and learner support software, using compassion and understanding for the student learning journey within 24 hours or less of submission
- Rely on industry knowledge to quickly and clearly guide students through complex assignments and questions
- Provide prompt feedback that includes pointed questions that will help guide students towards correct answers and allows them to build problem-solving skills
- Work with students who are both new to the subject matter, as well as those with experience or who are further along in their careers
- Suggest course improvements to assigned Program Delivery Manager (PDM) and Designer to ensure content is communicated clearly, accurately, and effectively in videos, assignments and collateral materials
- Communicate and collaborate with the Emeritus team on a regular basis to enhance course delivery and to solve unexpected course challenges
Skills and Qualifications:
- 5+ years of extensive work experience in the field of data engineering, data science, or data analytics
- Professional and/or academic experience in machine learning and artificial intelligence
- Proficiency in JavaScript, Python, and the use of GitHub
- Experience using data visualization tools (i.e. Tableau)
- Experience using Microsoft Azure
- Advanced academic background in mathematics, particularly statistics, calculus, and linear algebra
- Excellent verbal and written communication and interpersonal skills with an ability to listen effectively, respond appropriately, and maintain a mutual comfort level while working with a diverse student population
- Experience using Canvas or other related learning management system
Preferred Qualifications:
- Experience using Slack and Teams, as communication tools
- Experience working with support/service software or ticketing system
- Experience with using bug tracking and feedback tools
Emeritus provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
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Data Science Intern – Apply by Solving a Real-World Data Challenge
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Data Science Internship at Lunor
No CV. No cover letter. Just pure skill.
At Lunor, we don’t hire based on resumes — we hire based on results.
Our next Data Science Intern in India will be selected through a real AI challenge — not a form.
This is your chance to prove your talent, win cash prizes, and join a global AI platform backed by $300K+ in rewards and 40+ cutting-edge challenges.
Deep Learning Research Scientist
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Job Title: Visionary AI Researcher
About the RoleWe are seeking a highly skilled and innovative Visionary AI Researcher to join our team. The ideal candidate will have a strong background in computer vision, deep learning, and software development.
Key Responsibilities- Design, develop, and deploy deep learning models for image classification, object detection, segmentation, pose estimation, OCR, and related tasks.
- Work with large-scale datasets (images, videos, annotations), including data cleaning, augmentation, and preprocessing pipelines.
- Evaluate and fine-tune models using metrics like IoU, mAP, F1 score, and accuracy.
- Conduct research and experimentation with state-of-the-art architectures such as CNNs, Transformers (ViT, DETR), GANs, and self-supervised learning.
- Collaborate with cross-functional teams to integrate models into production pipelines (cloud/on-prem).
- Stay current with the latest advancements in computer vision and contribute to our innovation roadmap.
- B.Tech, Master's or Ph.D. in Computer Science, Electrical Engineering, Applied Mathematics, or a related field.
- 3+ years of experience in developing and deploying deep learning models for computer vision tasks.
- Strong proficiency in Python and deep learning frameworks like PyTorch and TensorFlow.
- Hands-on experience with libraries such as OpenCV, Albumentations, MMDetection, Detectron2, or YOLOv5/8.
- Experience training and optimizing models on GPU clusters using distributed training (e.g., PyTorch Lightning, DDP).
- Familiarity with model deployment (ONNX, TensorRT, TorchScript) and serving (FastAPI, Flask, Triton Inference Server).
- Experience with annotation tools (e.g., CVAT, Labelbox) and data versioning tools (e.g., DVC, Weights & Biases).
- Strong understanding of computer vision metrics and evaluation protocols.
Join a world-class team of researchers and engineers working on impactful AI products at the cutting edge of computer vision. Enjoy access to state-of-the-art GPU infrastructure and training platforms, along with a flexible work environment and competitive compensation and benefits.
Deep Learning Video AI Engineer – Recognition & Reasoning
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At Drillo.AI, we deliver tailored AI solutions that empower small and medium-sized businesses (SMBs) to innovate and grow. Our mission is to make advanced technology accessible, helping SMBs streamline operations, enhance decision-making, and drive sustainable success. With a deep understanding of the unique challenges faced by smaller enterprises, we provide scalable, cost-effective AI strategies that unlock new opportunities. Our solutions elevate businesses to the next level.
Mandatory educational qualification: Bachelor’s in engineering (specifically Computer Science) from a premier institute in India (IITs or NITs or IIITs)
Bonus educational qualification: Masters (MTech) in Computer Science from IISC or IITs.
Role Description
What you'll be doing:
- From Research to Reality: You'll be the bridge between cutting-edge academic research (activity recognition, multi-camera tracking, Video Language Models) and deployable, production-grade features on
- Building Solutions: Design, develop, and optimize Deep Learning models for human activity analysis in videos, from initial concept to final deployment.
- System Ownership: Take charge of your modules, ensuring they're robust, efficient, and seamlessly integrated with our AI platform, collaborating closely with our full-stack team.
We're seeking a candidate with:
- 4-5 years of industry experience, with 2-3 years specifically in practical, project-driven Deep Learning in the Video AI domain.
- Rock-solid Python coding skills.
- Deep practical knowledge of PyTorch and ONNX.
- Proven track record of deploying data pipelines for Computer Vision projects.
- The ability to independently set up, troubleshoot, and optimize Linux workstations (CUDA, OpenCV).
- A strong grasp of Deep Learning concepts (optimizers, attention, masking, model tuning).
- Demonstrated experience with activity detection or object detection implementations.
- A keen ability to read and implement new approaches from research papers.
Your personality is just as important:
- You're incredibly curious and love to experiment.
- You have an unwavering commitment to learning and overcoming challenges.
- You're a great communicator and thrive in a collaborative environment.
- You take full ownership of your work, seeing it through to successful deployment.
Mandatory educational qualification: Bachelor’s in engineering (specifically Computer Science) from a premier institute in India (IITs or NITs or IIITs)
Bonus educational qualification: Masters (MTech) in Computer Science from IISC or IITs.
Industry- IT Services and IT Consulting
Full-time
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