Data Scientist
Requirements
● B.Tech/Masters in Mathematics, Statistics, Computer Science or another
quantitative field
● 2-3+ years of work experience in ML domain ( 2-5 years experience )
● Hands-on coding experience in Python
● Experience in machine learning techniques such as Regression, Classification,
Predictive modeling, Clustering, Deep Learning stack, NLP
● Working knowledge of Tensorflow/PyTorch
Optional Add-ons-
● Experience with distributed computing frameworks: Map/Reduce, Hadoop, Spark
etc.
● Experience with databases: MongoDB
About A content consumption and discovery app which provides news
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CodeCraft Technologies is an award-winning creative engineering company where highly skilled designers and engineers work closely and bring to life, user-focused solutions.
Proven design & development methodologies are leveraged, and the latest technologies are explored, to deliver best-in-class mobile and web solutions. Our success is built on a team of talented and motivated individuals who drive excellence in everything they do. We are seeking a highly skilled and experienced Lead Data Scientist to join our growing team.
Responsibilities:
● Work with stakeholders across the organization to identify opportunities for leveraging company data to drive business solutions.
● Develop custom data models and algorithms to apply to data sets.
● Use predictive modeling to increase and optimize the business process and solutions
● Research and development of AI algorithms and their applicability in business-related problems to build intelligent systems.
● Build a Solid Data Science Team: Provide strategic direction for the data science team. Lead, mentor, and inspire a team of data scientists, fostering a culture of collaboration and continuous learning.
● Explore the latest technologies in the Data science domain and develop POCs.
● Establish a Technology Partnership with the leading technology providers in the AI/ML space.
● MLOps – Deploy ML solutions to the cloud.
● Collaborate with the content team to produce Tech blogs, case studies, etc.,
Required Skill Set:
● Strong foundational knowledge of data science concepts, machine learning algorithms, and programming skills in Python (and/or R).
● Expertise in Generative AI (GenAI), Large Language Models (LLM), Natural Language Processing (NLP), image processing and/or video analytics
● Proven track record of supporting global clients or internal stakeholders in data science projects.
● Experience in data analytics, descriptive analytics and predictive analytics
● Experience using AI/ML tools available from cloud service providers like AWS/AZURE/GCP including TensorFlow, SageMaker, and Azure ML
● Experience in deploying solutions to the cloud [AWS/Azure/GCP]
● Experience with Data Visualization tools like PowerBI, Tableau
● Proficient in SQL and other database technologies.
● Good understanding of the latest research and technologies in AI.
● Experience working across multiple geographic borders and time zones
● Outstanding communication and presentation skills
Education:
● Graduation/Post-graduation in Computers/Engineering/Statistics from a reputed institute
1. Use Python Scrapy to crawl the website
2. Work on dynamic websites and solve crawling challenges
3. Work in a fast-paced startup environment
About antuit.ai
Antuit.ai is the leader in AI-powered SaaS solutions for Demand Forecasting & Planning, Merchandising and Pricing. We have the industry’s first solution portfolio – powered by Artificial Intelligence and Machine Learning – that can help you digitally transform your Forecasting, Assortment, Pricing, and Personalization solutions. World-class retailers and consumer goods manufacturers leverage antuit.ai solutions, at scale, to drive outsized business results globally with higher sales, margin and sell-through.
Antuit.ai’s executives, comprised of industry leaders from McKinsey, Accenture, IBM, and SAS, and our team of Ph.Ds., data scientists, technologists, and domain experts, are passionate about delivering real value to our clients. Antuit.ai is funded by Goldman Sachs and Zodius Capital.
The Role:
Antuit.ai is interested in hiring a Principal Data Scientist, this person will facilitate standing up standardization and automation ecosystem for ML product delivery, he will also actively participate in managing implementation, design and tuning of product to meet business needs.
Responsibilities:
Responsibilities includes, but are not limited to the following:
- Manage and provides technical expertise to the delivery team. This includes recommendation of solution alternatives, identification of risks and managing business expectations.
- Design, build reliable and scalable automated processes for large scale machine learning.
- Use engineering expertise to help design solutions to novel problems in software development, data engineering, and machine learning.
- Collaborate with Business, Technology and Product teams to stand-up MLOps process.
- Apply your experience in making intelligent, forward-thinking, technical decisions to delivery ML ecosystem, including implementing new standards, architecture design, and workflows tools.
- Deep dive into complex algorithmic and product issues in production
- Own metrics and reporting for delivery team.
- Set a clear vision for the team members and working cohesively to attain it.
- Mentor and coach team members
Qualifications and Skills:
Requirements
- Engineering degree in any stream
- Has at least 7 years of prior experience in building ML driven products/solutions
- Excellent programming skills in any one of the language C++ or Python or Java.
- Hands on experience on open source libraries and frameworks- Tensorflow,Pytorch, MLFlow, KubeFlow, etc.
- Developed and productized large-scale models/algorithms in prior experience
- Can drive fast prototypes/proof of concept in evaluating various technology, frameworks/performance benchmarks.
- Familiar with software development practices/pipelines (DevOps- Kubernetes, docker containers, CI/CD tools).
- Good verbal, written and presentation skills.
- Ability to learn new skills and technologies.
- 3+ years working with retail or CPG preferred.
- Experience in forecasting and optimization problems, particularly in the CPG / Retail industry preferred.
Information Security Responsibilities
- Understand and adhere to Information Security policies, guidelines and procedure, practice them for protection of organizational data and Information System.
- Take part in Information Security training and act accordingly while handling information.
- Report all suspected security and policy breach to Infosec team or appropriate authority (CISO).
EEOC
Antuit.ai is an at-will, equal opportunity employer. We consider applicants for all positions without regard to race, color, religion, national origin or ancestry, gender identity, sex, age (40+), marital status, disability, veteran status, or any other legally protected status under local, state, or federal law.
We are building a global content marketplace that brings companies and content
creators together to scale up content creation processes across 50+ content verticals and 150+ industries. Over the past 2.5 years, we’ve worked with companies like India Today, Amazon India, Adobe, Swiggy, Dunzo, Businessworld, Paisabazaar, IndiGo Airlines, Apollo Hospitals, Infoedge, Times Group, Digit, BookMyShow, UpGrad, Yulu, YourStory, and 350+ other brands.
Our mission is to become the world’s largest content creation and distribution platform for all kinds of content creators and brands.
Our Team
We are a 25+ member company and is scaling up rapidly in both team size and our ambition.
If we were to define the kind of people and the culture we have, it would be -
a) Individuals with an Extreme Sense of Passion About Work
b) Individuals with Strong Customer and Creator Obsession
c) Individuals with Extraordinary Hustle, Perseverance & Ambition
We are on the lookout for individuals who are always open to going the extra mile and thrive in a fast-paced environment. We are strong believers in building a great, enduring
a company that can outlast its builders and create a massive impact on the lives of our
employees, creators, and customers alike.
Our Investors
We are fortunate to be backed by some of the industry’s most prolific angel investors - Kunal Bahl and Rohit Bansal (Snapdeal founders), YourStory Media. (Shradha Sharma); Dr. Saurabh Srivastava, Co-founder of IAN and NASSCOM; Slideshare co-founder Amit Ranjan; Indifi's Co-founder and CEO Alok Mittal; Sidharth Rao, Chairman of Dentsu Webchutney; Ritesh Malik, Co-founder and CEO of Innov8; Sanjay Tripathy, former CMO, HDFC Life, and CEO of Agilio Labs; Manan Maheshwari, Co-founder of WYSH; and Hemanshu Jain, Co-founder of Diabeto.
Backed by Lightspeed Venture Partners
Job Responsibilities:
● Design, develop, test, deploy, maintain and improve ML models
● Implement novel learning algorithms and recommendation engines
● Apply Data Science concepts to solve routine problems of target users
● Translates business analysis needs into well-defined machine learning problems, and
selecting appropriate models and algorithms
● Create an architecture, implement, maintain and monitor various data source pipelines
that can be used across various different types of data sources
● Monitor performance of the architecture and conduct optimization
● Produce clean, efficient code based on specifications
● Verify and deploy programs and systems
● Troubleshoot, debug and upgrade existing applications
● Guide junior engineers for productive contribution to the development
The ideal candidate must -
ML and NLP Engineer
● 4 or more years of experience in ML Engineering
● Proven experience in NLP
● Familiarity with language generative model - GPT3
● Ability to write robust code in Python
● Familiarity with ML frameworks and libraries
● Hands on experience with AWS services like Sagemaker and Personalize
● Exposure to state of the art techniques in ML and NLP
● Understanding of data structures, data modeling, and software architecture
● Outstanding analytical and problem-solving skills
● Team player, an ability to work cooperatively with the other engineers.
● Ability to make quick decisions in high-pressure environments with limited information.