Ganit has flipped the data science value chain as we do not start with a technique but for us, consumption comes first. With this philosophy, we have successfully scaled from being a small start-up to a 200 resource company with clients in the US, Singapore, Africa, UAE, and India.
We are looking for experienced data enthusiasts who can make the data talk to them.
You will:
- Understand business problems and translate business requirements into technical requirements.
- Conduct complex data analysis to ensure data quality & reliability i.e., make the data talk by extracting, preparing, and transforming it.
- Identify, develop and implement statistical techniques and algorithms to address business challenges and add value to the organization.
- Gather requirements and communicate findings in the form of a meaningful story with the stakeholders
- Build & implement data models using predictive modelling techniques. Interact with clients and provide support for queries and delivery adoption.
- Lead and mentor data analysts.
We are looking for someone who has:
- Apart from your love for data and ability to code even while sleeping you would need the following.
- Minimum of 02 years of experience in designing and delivery of data science solutions.
- You should have successful projects of retail/BFSI/FMCG/Manufacturing/QSR in your kitty to show-off.
- Deep understanding of various statistical techniques, mathematical models, and algorithms to start the conversation with the data in hand.
- Ability to choose the right model for the data and translate that into a code using R, Python, VBA, SQL, etc.
- Bachelors/Masters degree in Engineering/Technology or MBA from Tier-1 B School or MSc. in Statistics or Mathematics
Skillset Required:
- Regression
- Classification
- Predictive Modelling
- Prescriptive Modelling
- Python
- R
- Descriptive Modelling
- Time Series
- Clustering
What is in it for you:
- Be a part of building the biggest brand in Data science.
- An opportunity to be a part of a young and energetic team with a strong pedigree.
- Work on awesome projects across industries and learn from the best in the industry, while growing at a hyper rate.
Please Note:
At Ganit, we are looking for people who love problem solving. You are encouraged to apply even if your experience does not precisely match the job description above. Your passion and skills will stand out and set you apart—especially if your career has taken some extraordinary twists and turns over the years. We welcome diverse perspectives, people who think rigorously and are not afraid to challenge assumptions in a problem. Join us and punch above your weight!
Ganit is an equal opportunity employer and is committed to providing a work environment that is free from harassment and discrimination.
All recruitment, selection procedures and decisions will reflect Ganit’s commitment to providing equal opportunity. All potential candidates will be assessed according to their skills, knowledge, qualifications, and capabilities. No regard will be given to factors such as age, gender, marital status, race, religion, physical impairment, or political opinions.
About Ganit Business Solutions
Ganit Inc. is in the business of enhancing the Decision Making Power (DMP) of businesses by offering solutions that lie at the crossroads of discovery-based artificial intelligence, hypothesis-based analytics, and the Internet of Things (IoT).
The company's offerings consist of a functioning product suite and a bespoke service offering as its solutions. The goal is to integrate these solutions into the core of their client's decision-making processes as seamlessly as possible. Customers in the FMCG/CPG, Retail, Logistics, Hospitality, Media, Insurance, and Banking sectors are served by Ganit's offices in both India and the United States. The company views data as a strategic resource that may assist other businesses in achieving growth in both their top and bottom lines of business. We build and implement AI and ML solutions that are purpose-built for certain sectors to increase decision velocity and decrease decision risk.
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● Architecting large scale data analytics/modeling systems.
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purposes.
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performance.
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● Background and knowledge of recent advances in machine learning, deep learning, natural language processing, and/or image/signal/video processing with at least 3 years of professional work experience working on real-world data.
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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
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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!)
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--2+ years of industry experience in predictive modeling, data science, and Analysis.
--Experience with ML models including but not limited to Regression, Random Forests, XGBoost.
--Experience in an ML engineer or data scientist role building and deploying ML models or hands on experience developing deep learning models.
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--Strong Proficiency in Tableau.
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JD : ML/NLP Tech Lead
- We are looking to hire an ML/NLP Tech lead who can own products for a technology perspective and manage a team of up to 10 members. You will play a pivotal role in re-engineering our products, transformation, and scaling of AssessEd
WHAT ARE WE BUILDING :
- A revolutionary way of providing continuous assessments of a child's skill and learning, pointing the way to the child's potential in the future. This as opposed to the traditional one-time, dipstick methodology of a test that hurriedly bundles the child into a slot, that in-turn - declares- the child to be fit for a career in a specific area or a particular set of courses that would perhaps get him somewhere. At the core of our system is a lot of data - both structured and unstructured.
- We have books and questions and web resources and student reports that drive all our machine learning algorithms. Our goal is to not only figure out how a child is coping but to also figure out how to help him by presenting relevant information and questions to him in topics that he is struggling to learn.
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- A deep hunger to learn, understand, and apply your knowledge to create technology.
- Ability and Experience tackling hard Natural Language Processing problems, to separate wheat from the chaff, knowledge of mathematical tools to succinctly describe the ideas to implement them in code.
- Very Good understanding of Natural Language Processing and Machine Learning with projects to back the same.
- Strong fundamentals in Linear Algebra, Probability and Random Variables, and Algorithms.
- Strong Systems experience in Distributed Systems Pipeline: Hadoop, Spark, etc.
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- Good understanding of Algorithms and Data Structures.
- Strong programming experience in C++/Java/Lisp/Haskell.
- Good written and verbal communication.
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Website : http://Digitalaristotle.ai
Work Location: - Bangalore