Data Engineer

Lightning job by Cutshort ⚡

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About Us:

Virtualness is the first end-to-end decentralized web3 platform offering mobile-first generative AI creation, NFT minting, and marketplace tools in one place making it easy for any creator or brand to scale their business and easily capture the value-creation opportunity that blockchain presents. Built on the ethos of ’empathy at the core' Virtualness puts creators first, and is building the playbook for AI led

easy design, efficient sharing / social experiences and seamless digital commerce.

Job Description:

We are seeking a highly motivated and detail-oriented Data Analyst to join our team. The ideal candidate will possess strong analytical skills, proficiency in data manipulation and visualization tools, and a passion for deriving actionable insights from complex datasets. The Data Analyst will play a key role in interpreting data, identifying trends, and providing valuable recommendations to support strategic business objectives.

Key Responsibilities:

- Analyze large datasets to extract meaningful patterns, trends, and insights.

- Develop and maintain data models, dashboards, and reports to track key performance indicators (KPIs) and inform decision-making processes.

- Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.

- Perform data cleansing, transformation, and validation to ensure accuracy and consistency of data.

- Conduct ad-hoc analyses to address specific business questions and provide actionable recommendations.

- Utilize statistical techniques and predictive modeling to identify opportunities for process optimization and revenue enhancement.

- Stay updated on industry trends, best practices, and emerging technologies in data analytics and contribute to continuous improvement initiatives.

- Present findings and insights to stakeholders in a clear and compelling manner through written reports and presentations.

Qualifications:

- Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or related field; Master's degree preferred.

- Proven experience as a Data Analyst or similar role, with a track record of delivering actionable insights and driving business impact.

- Proficiency in SQL, Python, R, or other programming languages for data analysis and manipulation.

- Strong analytical skills with the ability to work with large datasets and complex data structures.

- Experience with data visualization tools such as Tableau, Power BI, or Looker.

- Familiarity with statistical techniques, machine learning algorithms, and data mining methods.

- Excellent communication and presentation skills, with the ability to convey technical concepts to non-technical stakeholders.

- Strong attention to detail and problem-solving abilities.

- Ability to work effectively both independently and as part of a team in a fast-paced environment.

Preferred Qualifications: 

- Experience with cloud-based platforms such as AWS, Google Cloud Platform, or Azure.

- Knowledge of advanced analytics techniques such as predictive modeling, clustering, and segmentation.

- Previous experience in the Web3 industry is a plus.

Benefits:

- Competitive salary

- Health insurance

- Flexible work hours

- ESOPS

- Opportunities for professional growth

- Access to cutting-edge technologies

- A collaborative and innovative work environment

Job Title: SQL Query Writer - Analytics Automation

Location: Thane (West), Mumbai

Experience: 4-5 years

Responsibilities:

• Develop and optimize SQL queries for efficient data retrieval and analysis.
• Automate analytics processes using platforms like SQL, Python, ACL, Alteryx, Analyzer, Excel Macros, and Access Query.
• Collaborate with cross-functional teams to understand analytical requirements and provide effective solutions.
• Ensure data accuracy, integrity, and security in automated processes.
• Troubleshoot and resolve issues related to analytics automation.

Qualifications:

• Minimum 3 years of experience in SQL query writing and analytics automation.
• Proficiency in SQL, Python, ACL, Alteryx, Analyzer, Excel Macros, and Access Query.
• Strong analytical skills and attention to detail.

We are looking for a Data Analyst that oversees organisational data analytics. This will require you to design and help implement the data analytics platform that will keep the organisation running. The team will be the go-to for all data needs for the app and we are looking for a self-starter who is hands on and yet able to abstract problems and anticipate data requirements.
This person should be very strong technical data analyst who can design and implement data systems on his own. Along with him, he also needs to be proficient in business reporting and should have keen interest in provided data needed for business.

Tools familiarity:  SQL, Python, Mix panel, Metabase, Google Analytics,  Clever Tap, App Analytics

Responsibilities

• Processes and frameworks for metrics, analytics, experimentation and user insights, lead the data analytics team
• Metrics alignment across teams to make them actionable and promote accountability
• Data based frameworks for assessing and strengthening Product Market Fit
• Identify viable growth strategies through data and experimentation
• Experimentation for product optimisation and understanding user behaviour
• Structured approach towards deriving user insights, answer questions using data
• This person needs to closely work with Technical and Business teams to get this implemented.

Skills

• 4 to 6 years at a relevant role in data analytics in a Product Oriented company
• Highly organised, technically sound & good at communication
• Ability to handle & build for cross functional data requirements / interactions with teams
• Great with Python, SQL
• Can build, mentor a team
• Knowledge of key business metrics like cohort, engagement cohort, LTV, ROAS, ROE

Eligibility

BTech or MTech in Computer Science/Engineering from a Tier1, Tier2 colleges

Good knowledge on Data Analytics, Data Visualization tools. A formal certification would be added advantage.

We are more interested in what you CAN DO than your location, education, or experience levels.

Send us your code samples / GitHub profile / published articles if applicable.

Designation: Perception Engineer (3D) 

Experience: 0 years to 8 years 

Position Type: Full Time 

Position Location: Hyderabad 

Compensation: As Per Industry standards 

About Monarch: 

At Monarch, we’re leading the digital transformation of farming. Monarch Tractor augments both muscle and mind with fully loaded hardware, software, and service machinery that will spur future generations of farming technologies. 

With our farmer-first mentality, we are building a smart tractor that will enhance (not replace) the existing farm ecosystem, alleviate labor availability, and cost issues, and provide an avenue for competitive organic and beyond farming by providing mechanical solutions to replace harmful chemical solutions. Despite all the cutting-edge technology we will incorporate, our tractor will still plow, still, and haul better than any other tractor in its class. We have all the necessary ingredients to develop, build and scale the Monarch Tractor and digitally transform farming around the world. 

Description: 

We are looking for engineers to work on applied research problems related to perception in autonomous driving of electric tractors. The team works on classical and deep learning-based techniques for computer vision. Several problems like SFM, SLAM, 3D Image processing, multiple view geometry etc. Are being solved to deploy on resource constrained hardware. 

Technical Skills: 

• Background in Linear Algebra, Probability and Statistics, graphical algorithms and optimization problems is necessary. 
• Solid theoretical background in 3D computer vision, computational geometry, SLAM and robot perception is desired. Deep learning background is optional. 
• Knowledge of some numerical algorithms or libraries among: Bayesian filters, SLAM, Eigen, Boost, g2o, PCL, Open3D, ICP. 
• Experience in two view and multi-view geometry. 
• Necessary Skills: Python, C++, Boost, Computer Vision, Robotics, OpenCV. 
• Academic experience for freshers in Vision for Robotics is preferred.  
• Experienced candidates in Robotics with no prior Deep Learning experience willing to apply their knowledge to vision problems are also encouraged to apply. 
• Software development experience on low-power embedded platforms is a plus. 

Responsibilities: 

• Understanding engineering principles and a clear understanding of data structures and algorithms. 
• Ability to understand, optimize and debug imaging algorithms. 
• Ability to drive a project from conception to completion, research papers to code with disciplined approach to software development on Linux platform. 
• Demonstrate outstanding ability to perform innovative and significant research in the form of technical papers, thesis, or patents. 
• Optimize runtime performance of designed models. 
• Deploy models to production and monitor performance and debug inaccuracies and exceptions. 
• Communicate and collaborate with team members in India and abroad for the fulfillment of your duties and organizational objectives. 
• Thrive in a fast-paced environment and can own the project end to end with minimum hand holding. 
• Learn & adapt to new technologies & skillsets. 
• Work on projects independently with timely delivery & defect free approach. 
• Thesis focusing on the above skill set may be given more preference. 

What you will get: 

At Monarch Tractor, you’ll play a key role on a capable, dedicated, high-performing team of rock stars. Our compensation package includes a competitive salary, excellent health benefits commensurate with the role you’ll play in our success.  

Work Experience : 0-2 years

Responsibilities :

- Design and implement mathematical models for fundamental valuation of securities. The person will need to understand latest research in quantitative finance and implement the same.

- Design, back-testing and implementation of high-frequency trading strategies on international exchanges. Work as part of the market-making team to determine the signals and trading strategies to go live with.

- Conduct performance attribution of live portfolios.

Required Skills :

- Strong candidates should have 0-2 years of work experience and successful track record in quantitative analysis preferably in the capital markets domain.

- Post-Graduate degree in statistics, finance, mathematics, engineering (Computer Science preferred) or other quantitative or computational disciplines

- Experience in using some or all of the following packages: R, MATLAB, SPSS, CART, C# .Net, Python

- Good written and oral communication skills.

- Strong experience working both independently and in a team-oriented collaborative environment.

- Entrepreneurial, self-motivated individual - high energy, high activity levels - passion for working with an innovative, small but rapidly growing company.

This person MUST have:

• B.E Computer Science or equivalent
• 5 years experience with the Django framework
• Experience with building APIs (REST or GraphQL) 
• Strong Troubleshooting and debugging skills
• React.js knowledge would be an added bonus 
• Understanding on how to use a database like Postgres (prefered choice), SQLite, MongoDB, MySQL.
• Sound knowledge of object-oriented design and analysis.
• A strong passion for writing simple, clean and efficient code.
• Proficient understanding of code versioning tools Git.
• Strong communication skills.

Experience:

• Min 5 year experience
• Startup experience is a must. 

Location:

• Remote developer

Timings:

• 40 hours a week but with 4 hours a day overlapping with client timezone.  Typically clients are in California PST Timezone.

Position:

• Full time/Direct
• We have great benefits such as PF, medical insurance, 12 annual company holidays, 12 PTO leaves per year, annual increments, Diwali bonus, spot bonuses and other incentives etc.
• We dont believe in locking in people with large notice periods.  You will stay here because you love the company.  We have only a 15 days notice period.

About Toyota Connected

If you want to change the way the world works, transform the automotive industry and positively impact others on a global scale, then Toyota Connected is the right place for you! Within our collaborative, fast-paced environment we focus on continual improvement and work in a highly iterative way to deliver exceptional value in the form of connected products and services that wow and delight our customers and the world around us.

About the Team

Toyota Connected India is hiring talented engineers at Chennai to use Deep Learning, Computer vision, Big data, high performance cloud-based services and other cutting-edge technologies to transform the customer experience with their vehicle. Come help us re-imagine what mobility can be today and for years to come!

Job Description

The Toyota Connected team is looking for a Senior ML Engineer (Computer Vision) to be a part of a highly talented engineering team to help create new products and services from the ground up for the next generation connected vehicles. We are looking for team members that are required to be creative in solving problems, excited to work in new technology areas and be ready to wear multiple hats to get things done in a highly energized, fast-paced, innovative and collaborative startup environment.

What you will do

• Develop solutions using Machine Learning/Deep Learning and other advanced technologies to solve a variety of problems

• Develop image analysis algorithms and deep learning architectures to solve Computer vision related problems.

• Implement cutting edge machine learning techniques in image classification, object detection, semantic segmentation, sequence modeling, etc. using frameworks such as OpenCV, TensorFlow and Pytorch.

• Translate user stories and business requirements to technical solutions by building quick prototypes or proof of concepts with several business and technical stakeholder groups in both internal and external organizations

• Partner with leaders in the area and have insights to select off the shelf components vs building from the scratch

• Convert the proof of concepts to production-grade solutions that can scale for hundreds of thousands of users

• Be hands-on where required and lead from the front in following best practices in development and CI/CD methods

• Own delivery of features from top to bottom, from concept to code to production

• Develop tools and libraries that will enable rapid and scalable development in the future

You are a successful candidate if

• You are smart and can demonstrate it

• You have 8+ years of experience as software engineer with minimum 3 years hands-on experience delivering products or solutions that utilized Computer Vision

• Strong experience in deploying solutions to production, with hands-on experience in any public cloud environment (AWS, GCP or Azure)

• Excellent proficiency in Open CV or related computer vision frameworks and libraries

• Mathematical understanding of a variety of statistical learning algorithms (Reinforcement Learning, Supervised/Unsupervised, Graphical Models)

• Expertise in a variety of Deep Learning architectures including Residual Networks, RNN/CNN, Transformer, and Transfer Learning. And experience in delivering value using these in real production environments for real customers

• You have deep proficiency in Python and at least one other major programming language (C++, Java, Golang)

• You are very fluent in one or more ML tools/libraries like Tensorflow, Pytorch, Caffe, and/or Theano and have solved several real-life problems using these

• We think the knowledge acquired earning a degree in Computer Science or Math would be of great value in this position, but if you're smart and have the experience that backs up your abilities, for us, talent trumps degree every time

What is in it for you? 

• Top of the line compensation!

• You'll be treated like the professional we know you are and left to manage your own time and work load.

• Yearly gym membership reimbursement. & Free catered lunches. 

• No dress code! We trust you are responsible enough to choose what’s appropriate to wear for the day.

• Opportunity to build products that improves the safety and convenience of millions of customers. 
Our Core Values

• Empathetic: We begin making decisions by looking at the world from the perspective of our customers, teammates, and partners.
• Passionate: We are here to build something great, not just for the money. We are always looking to improve the experience of our millions of customers
• Innovative: We experiment with ideas to get to the best solution. Any constraint is a challenge, and we love looking for creative ways to solve them.
• Collaborative: When it comes to people, we think the whole is greater than its parts and that everyone has a role to play in the success!
•  

Responsibilities: 

• Identify complex business problems and work towards building analytical solutions in-order to create large business impact.
• Demonstrate leadership through innovation in software and data products from ideation/conception through design, development and ongoing enhancement, leveraging user research techniques, traditional data tools, and techniques from the data science toolkit such as predictive modelling, NLP, statistical analysis, vector space modelling, machine learning etc.
• Collaborate and ideate with cross-functional teams to identify strategic questions for the business that can be solved and champion the effectiveness of utilizing data, analytics, and insights to shape business.
• Contribute to company growth efforts, increasing revenue and supporting other key business outcomes using analytics techniques.
• Focus on driving operational efficiencies by use of data and analytics to impact cost and employee efficiency.
• Baseline current analytics capability, ensure optimum utilization and continued advancement to stay abridge with industry developments.
• Establish self as a strategic partner with stakeholders, focused on full innovation system and fully supportive of initiatives from early stages to activation.
• Review stakeholder objectives and team's recommendations to ensure alignment and understanding.
• Drive analytics thought leadership and effectively contributes towards transformational initiatives.
• Ensure accuracy of data and deliverables of reporting employees with comprehensive policies and processes.