The duration of this internship is _1___ month.
Igeeks is India's no.1 internship platform with 10000+ internships in Engineering, MBA, Commerce & Management, and other streams. Igeeks is here to help bridge
the gap between a students’ classroom environment and their workplace atmosphere.
Igeeks provide internship training on latest cutting edge technologies in the industry for easy placements of students. We provide hands-on experience on our real
time projects to expose the students on the real world challenges and industry standards of implementing a project.
Igeeks provides uniquely designed learning experiences with certified internship program in india for engineering students.
As per University standards igeeks technologies offering internships For B.E Students (ECE / TCE / EEE / CSE / ISE / MECH) . Registrations are already started
for Intern in Embedded With IOT , Intern in IOT , Intern in JAVA , Intern in Python ML. Interested students can contact us
Internship will be conducted as per industry standards and it will be completely hands on training.
INTERNSHIP/ INDUSTRIAL TRAINING
DURATION 4 WEEKS.
Internship cum Training program schedule:
8 January 2024
BENEFITS:
TRAINING FROM INDUSTRY EXPERTS
WORK ON REAL TIME PROJECTS
COMPANY CERTIFICATION
HANDS ON EXPERIENCE
PROJECT REPORT MATERIALS.
MINI PROJECT
8TH SEM IEEE PROJECT ASSISTANCE
Registration:
Registration started from 15/12/2023
How to register?
Igeeks Internship WhatsApp Group
Interested candidates *join the WhatsApp group* to know more information
https://chat.whatsapp.com/EUUtZlYSvrbGPxSTUKEJCA
Igeeks Internship Application Form,Fill the Application
https://forms.gle/pGA8KDDiLSWxdTnf9
For more information refer official website here: www.igeekstechnologies.com
About Igeeks Technologies
Similar jobs
• 6+ years of data science experience.
• Demonstrated experience in leading programs.
• Prior experience in customer data platforms/finance domain is a plus.
• Demonstrated ability in developing and deploying data-driven products.
• Experience of working with large datasets and developing scalable algorithms.
• Hands-on experience of working with tech, product, and operation teams.
Technical Skills:
• Deep understanding and hands-on experience of Machine learning and Deep
learning algorithms. Good understanding of NLP and LLM concepts and fair
experience in developing NLU and NLG solutions.
• Experience with Keras/TensorFlow/PyTorch deep learning frameworks.
• Proficient in scripting languages (Python/Shell), SQL.
• Good knowledge of Statistics.
• Experience with big data, cloud, and MLOps.
Soft Skills:
• Strong analytical and problem-solving skills.
• Excellent presentation and communication skills.
• Ability to work independently and deal with ambiguity.
Continuous Learning:
• Stay up to date with emerging technologies.
Qualification.
A degree in Computer Science, Statistics, Applied Mathematics, Machine Learning, or any related field / B. Tech.
DATA SCIENTIST-MACHINE LEARNING
GormalOne LLP. Mumbai IN
Job Description
GormalOne is a social impact Agri tech enterprise focused on farmer-centric projects. Our vision is to make farming highly profitable for the smallest farmer, thereby ensuring India's “Nutrition security”. Our mission is driven by the use of advanced technology. Our technology will be highly user-friendly, for the majority of farmers, who are digitally naive. We are looking for people, who are keen to use their skills to transform farmers' lives. You will join a highly energized and competent team that is working on advanced global technologies such as OCR, facial recognition, and AI-led disease prediction amongst others.
GormalOne is looking for a machine learning engineer to join. This collaborative yet dynamic, role is suited for candidates who enjoy the challenge of building, testing, and deploying end-to-end ML pipelines and incorporating ML Ops best practices across different technology stacks supporting a variety of use cases. We seek candidates who are curious not only about furthering their own knowledge of ML Ops best practices through hands-on experience but can simultaneously help uplift the knowledge of their colleagues.
Location: Bangalore
Roles & Responsibilities
- Individual contributor
- Developing and maintaining an end-to-end data science project
- Deploying scalable applications on different platform
- Ability to analyze and enhance the efficiency of existing products
What are we looking for?
- 3 to 5 Years of experience as a Data Scientist
- Skilled in Data Analysis, EDA, Model Building, and Analysis.
- Basic coding skills in Python
- Decent knowledge of Statistics
- Creating pipelines for ETL and ML models.
- Experience in the operationalization of ML models
- Good exposure to Deep Learning, ANN, DNN, CNN, RNN, and LSTM.
- Hands-on experience in Keras, PyTorch or Tensorflow
Basic Qualifications
- Tech/BE in Computer Science or Information Technology
- Certification in AI, ML, or Data Science is preferred.
- Master/Ph.D. in a relevant field is preferred.
Preferred Requirements
- Exp in tools and packages like Tensorflow, MLFlow, Airflow
- Exp in object detection techniques like YOLO
- Exposure to cloud technologies
- Operationalization of ML models
- Good understanding and exposure to MLOps
Kindly note: Salary shall be commensurate with qualifications and experience
closely with the Kinara management team to investigate strategically important business
questions.
Lead a team through the entire analytical and machine learning model life cycle:
Define the problem statement
Build and clean datasets
Exploratory data analysis
Feature engineering
Apply ML algorithms and assess the performance
Code for deployment
Code testing and troubleshooting
Communicate Analysis to Stakeholders
Manage Data Analysts and Data Scientists
- 3+ years of Experience majoring in applying AI/ML/ NLP / deep learning / data-driven statistical analysis & modelling solutions.
- Programming skills in Python, knowledge in Statistics.
- Hands-on experience developing supervised and unsupervised machine learning algorithms (regression, decision trees/random forest, neural networks, feature selection/reduction, clustering, parameter tuning, etc.). Familiarity with reinforcement learning is highly desirable.
- Experience in the financial domain and familiarity with financial models are highly desirable.
- Experience in image processing and computer vision.
- Experience working with building data pipelines.
- Good understanding of Data preparation, Model planning, Model training, Model validation, Model deployment and performance tuning.
- Should have hands on experience with some of these methods: Regression, Decision Trees,CART, Random Forest, Boosting, Evolutionary Programming, Neural Networks, Support Vector Machines, Ensemble Methods, Association Rules, Principal Component Analysis, Clustering, ArtificiAl Intelligence
- Should have experience in using larger data sets using Postgres Database.
In 2020, Renew Power, India’s largest renewables developer, acquired Climate Connect. Following ReNew’s listing on NASDAQ in summer 2021, Climate Connect has become the technology anchor of a new fully independent subsidiary - Climate Connect Digital. With backing from ReNew as the anchor investor to pursue an ambitious and visionary new strategy for rapid organic and inorganic growth.
Our mission has technology at its core and involves unlocking value through intelligent software, digitalisation, and ‘horizontal integration’ across the energy ecosystem. However, computational power and machine learning in the energy sector have yet to be fully leveraged and can create massive value.
We are looking for people with knowledge of:
● Excellent verbal communications, including the ability to clearly and concisely articulate complex concepts to both technical and non-technical collaborators
● Demonstrated history of knowledge in Computer Science, Statistics, Mathematics, Software Engineering or related technical fields
● Industry experience with proven ability to apply scientific methods to solve real-world problems on large scale data
● Extensive experience with Python and SQL for software development, data analysis, and machine learning
● Experience on Libraries: TensorFlow, Keras, Numpy, sklearn, pandas, scikit-image, matplotlib, Jupyter, Statsmodels
● Experience on Time Series analysis, including EDA, Statistical inferences, ARIMA, GARCH
● Knowledge of Cluster Analysis, Classification Trees, Discriminant Analysis, Neural Networks, Deep Learning, Logistic Regression, Associations Analysis
● Hands-on experience in implementing Deep learning models with video and time series data (CNN, LSTM- s, Aotoencoder, RBM)
● Experience of Regression, Multicriteria Decision Making, Descriptive Statistics, Hypothesis Testing, Segmentation/ Classification, Predictive Analytics
● Aptitude and experience in applied statistics and machine learning techniques
● Firm grasp of visualization tools interactive and self-serving such as business intelligence and notebooks
● Experience launching production-quality machine learning models at scale e.g. dataset construction, preprocessing, deployment, monitoring, quality assurance
● Experience with math programming is an added advantage. For example: optimization, computational geometry, numerical linear algebra, etc.
What you’ll work on:
We are developing a marketing automation platform through which an electricity retailer may apply a suite of proprietary ML algorithms to optimize outcomes across a range of channels and touchpoints. We require the services of a data science professional who can design and implement various AI/ML models that optimize the performance, quality, and reliability of the product. This position offers a potential pathway to leading an entire ML expert team. These are a few things you can look forward to working on:
● Translating high-level problems and key objectives into granular model requirements.
● Defining acceptance criteria that are well structured, detailed, and comprehensive.
● Developing and testing algorithms using our price forecasts, and customers' energy portfolio.
● Collaborating with the software engineering team in deploying the developed models tailored to specific customer needs.
● Participating in the software development process, and doing the required testing, and debugging to support the deployed models.
● Taking responsibility for ensuring tracking of appropriate events/metrics, so that monitoring is timely and rigorous.
● Driving the response to the discovery of regressions or failures, by undertaking various exercises (e.g. debugging, RCA, etc.) as needed
Experience:
● 6-11 years of experience in the field of Data Sciences or Machine Learning Qualifications:
● B.E / B. Tech / M. Tech / PhD in CS/IT or Data Sciences
What’s in it for you
We offer competitive salaries based on prevailing market rates. In addition to your introductory package, you can expect to receive the following benefits:
Flexible working hours
Unlimited annual leaves
Learning and development budget
Medical insurance/Term insurance, Gratuity benefits over and above the salaries
Access to industry and domain thought leaders
At Climate Connect Digital, you get a rare opportunity to join an established company at the early stages of a significant and well-backed global growth push.
Link to apply - https://climateconnect.digital/careers/?jobId=gaG9dgeTYBvF
Who Are We
A research-oriented company with expertise in computer vision and artificial intelligence, at its core, Orbo is a comprehensive platform of AI-based visual enhancement stack. This way, companies can find a suitable product as per their need where deep learning powered technology can automatically improve their Imagery.
ORBO's solutions are helping BFSI, beauty and personal care digital transformation and Ecommerce image retouching industries in multiple ways.
WHY US
- Join top AI company
- Grow with your best companions
- Continuous pursuit of excellence, equality, respect
- Competitive compensation and benefits
You'll be a part of the core team and will be working directly with the founders in building and iterating upon the core products that make cameras intelligent and images more informative.
To learn more about how we work, please check out
Description:
We are looking for a computer vision engineer to lead our team in developing a factory floor analytics SaaS product. This would be a fast-paced role and the person will get an opportunity to develop an industrial grade solution from concept to deployment.
Responsibilities:
- Research and develop computer vision solutions for industries (BFSI, Beauty and personal care, E-commerce, Defence etc.)
- Lead a team of ML engineers in developing an industrial AI product from scratch
- Setup end-end Deep Learning pipeline for data ingestion, preparation, model training, validation and deployment
- Tune the models to achieve high accuracy rates and minimum latency
- Deploying developed computer vision models on edge devices after optimization to meet customer requirements
Requirements:
- Bachelor’s degree
- Understanding about depth and breadth of computer vision and deep learning algorithms.
- 4+ years of industrial experience in computer vision and/or deep learning
- Experience in taking an AI product from scratch to commercial deployment.
- Experience in Image enhancement, object detection, image segmentation, image classification algorithms
- Experience in deployment with OpenVINO, ONNXruntime and TensorRT
- Experience in deploying computer vision solutions on edge devices such as Intel Movidius and Nvidia Jetson
- Experience with any machine/deep learning frameworks like Tensorflow, and PyTorch.
- Proficient understanding of code versioning tools, such as Git
Our perfect candidate is someone that:
- is proactive and an independent problem solver
- is a constant learner. We are a fast growing start-up. We want you to grow with us!
- is a team player and good communicator
What We Offer:
- You will have fun working with a fast-paced team on a product that can impact the business model of E-commerce and BFSI industries. As the team is small, you will easily be able to see a direct impact of what you build on our customers (Trust us - it is extremely fulfilling!)
- You will be in charge of what you build and be an integral part of the product development process
- Technical and financial growth!
- Experience with relational SQL & NoSQL databases including MySQL & MongoDB.
- Familiar with the basic principles of distributed computing and data modeling.
- Experience with distributed data pipeline frameworks like Celery, Apache Airflow, etc.
- Experience with NLP and NER models is a bonus.
- Experience building reusable code and libraries for future use.
- Experience building REST APIs.
Preference for candidates working in tech product companies
About Turing:
Turing enables U.S. companies to hire the world’s best remote software engineers. 100+ companies including those backed by Sequoia, Andreessen, Google Ventures, Benchmark, Founders Fund, Kleiner, Lightspeed, and Bessemer have hired Turing engineers. For more than 180,000 engineers across 140 countries, we are the preferred platform for finding remote U.S. software engineering roles. We offer a wide range of full-time remote opportunities for full-stack, backend, frontend, DevOps, mobile, and AI/ML engineers.
We are growing fast (our revenue 15x’d in the past 12 months and is accelerating), and we have raised $14M in seed funding (https://tcrn.ch/3lNKbM9">one of the largest in Silicon Valley) from:
- Facebook’s 1st CTO and Quora’s Co-Founder (Adam D’Angelo)
- Executives from Google, Facebook, Square, Amazon, and Twitter
- Foundation Capital (investors in Uber, Netflix, Chegg, Lending Club, etc.)
- Cyan Banister
- Founder of Upwork (Beerud Sheth)
We also raised a much larger round of funding in October 2020 that we will be publicly announcing over the coming month.
Some articles about Turing:
- https://techcrunch.com/2020/08/25/turing-raises-14m-to-help-source-vet-place-and-manage-remote-developers-in-tech-jobs/">TechCrunch: Turing raises $14M seed to help source, vet, place, and manage remote developers
- https://www.theinformation.com/articles/six-startups-prospering-during-coronavirus">The Information: Six Startups Prospering During Coronavirus
- https://medium.com/@cyanbanister/turing-helps-the-world-level-up-ff44b4e6415d">Cyan Banister: Turing Helps the World Level Up
- https://turing.com/boundarylessblog/2019/10/the-future-of-work-is-remote/the-future-of-work/">Jonathan Siddharth (Turing CEO): The Future of Work is Remote.
Turing is led by successful repeat founders Jonathan Siddharth and Vijay Krishnan, whose last A.I. company leveraged elite remote talent and had a successful acquisition. (https://techcrunch.com/2017/02/23/revcontent-acquires-rover/">Techcrunch story). Turing’s leadership team is composed of ex-Engineering and Sales leadership from Facebook, Google, Uber, and Capgemini.
About the role:
Software developers from all over the world have taken 200,000+ tests and interviews on Turing. Turing has also recommended thousands of developers to its customers and got customer feedback in terms of customer interview pass/fail data and data from the success of the collaboration with a U.S customer. This generates a massive proprietary dataset with a rich feature set comprising resume and test/interview features and labels in the form of actual customer feedback. Continuing rapid growth in our business creates an ever-increasing data advantage for us.
We are looking for a Machine Learning Scientist who can help solve a whole range of exciting and valuable machine learning problems at Turing. Turing collects a lot of valuable heterogeneous signals about software developers including their resume, GitHub profile and associated code and a lot of fine-grained signals from Turing’s own screening tests and interviews (that span various areas including Computer Science fundamentals, project ownership and collaboration, communication skills, proactivity and tech stack skills), their history of successful collaboration with different companies on Turing, etc.
A machine learning scientist at Turing will help create deep developer profiles that are a good representation of a developer’s strengths and weaknesses as it relates to their probability of getting successfully matched to one of Turing’s partner companies and having a fruitful long-term collaboration. The ML scientist will build models that are able to rank developers for different jobs based on their probability of success at the job.
You will also help make Turing’s tests more efficient by assessing their ability to predict the probability of a successful match of a developer with at least one company. The prior probability of a registered developer getting matched with a customer is about 1%. We want our tests to adaptively reduce perplexity as steeply as possible and move this probability estimate rapidly toward either 0% or 100%; maximize expected information-gain per unit time in other words.
As an ML Scientist on the team, you will have a unique opportunity to make an impact by advancing ML models and systems, as well as uncovering new opportunities to apply machine learning concepts to Turing product(s).
This role will directly report to Turing’s founder and CTO, https://www.linkedin.com/in/vijay0/">Vijay Krishnan. This is his https://scholar.google.com/citations?user=uCRc7DgAAAAJ&hl=en">Google Scholar profile.
Responsibilities:
- Enhance our existing machine learning systems using your core coding skills and ML knowledge.
- Take end to end ownership of machine learning systems - from data pipelines, feature engineering, candidate extraction, model training, as well as integration into our production systems.
- Utilize state-of-the-art ML modeling techniques to predict user interactions and the direct impact on the company’s top-line metrics.
- Design features and builds large scale recommendation systems to improve targeting and engagement.
- Identify new opportunities to apply machine learning to different parts of our product(s) to drive value for our customers.
Minimum Requirements:
- BS, MS, or Ph.D. in Computer Science or a relevant technical field (AI/ML preferred).
- Extensive experience building scalable machine learning systems and data-driven products working with cross-functional teams
- Expertise in machine learning fundamentals, applicable to search - Learning to Rank, Deep Learning, Tree-Based Models, Recommendation Systems, Relevance and Data mining, understanding of NLP approaches like W2V or Bert.
- 2+ years of experience applying machine learning methods in settings like recommender systems, search, user modeling, graph representation learning, natural language processing.
- Strong understanding of neural network/deep learning, feature engineering, feature selection, optimization algorithms. Proven ability to dig deep into practical problems and choose the right ML method to solve them.
- Strong programming skills in Python and fluency in data manipulation (SQL, Spark, Pandas) and machine learning (scikit-learn, XGBoost, Keras/Tensorflow) tools.
- Good understanding of mathematical foundations of machine learning algorithms.
- Ability to be available for meetings and communication during Turing's "coordination hours" (Mon - Fri: 8 am to 12 pm PST).
Other Nice-to-have Requirements:
- First author publications in ICML, ICLR, NeurIPS, KDD, SIGIR, and related conferences/journals.
- Strong performance in Kaggle competitions.
- 5+ years of industry experience or a Ph.D. with 3+ years of industry experience in applied machine learning in similar problems e.g. ranking, recommendation, ads, etc.
- Strong communication skills.
- Experienced in leading large-scale multi-engineering projects.
- Flexible, and a positive team player with outstanding interpersonal skills.
- Strong in problem solving, algorithms and data structures
- Proficient in Python
- Hands on experience in technologies and tools related to any of NLP, Deep learning, Machine learning, Conversational AI
- Experience with knowledge Graph or any graph based system is plus
- Able to train and deploy models
- Broad knowledge of machine learning algorithms and principles
- Performance profiling and Tuning
- Communicate and propose solutions to business challenges
- Familiarity with at least one of the cloud computing infrastructure - GCP/AWS
- Keep abreast with the latest technological advances
- Team mentoring and leadership skills.