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Hiring: Academic Specialist (Inside Sales)
Location: Bangalore (Walk-in Interviews)
We are looking for candidates with a minimum of 6 months of internship or experience in B2C sales. Freshers can also apply with Good communication skill
Requirements:
Education: Bachelor's degree (mandatory)
Experience: 4+ months in B2C sales (internship or work experience)
Location: Candidates must be available in Bangalore for a walk-in interview
Mode of Interview: Face-to-face
Compensation:
For experienced candidates: Up to ₹7.3 LPA (based on experience and interview performance)
If you're interested, kindly send your CV
implementation project with AATP experience.
* Sound knowledge of SD module with MTO and MTS scenario.
*Should be well versed with Inquiries, Quotes, Sales Orders, Sales Return, Consignment Contract,
Scheduling Agreements, Credit Debit Memo requests, Rush Orders Cash Sales, Back Orders etc.
* Shipping Interface handling with 3rd Party and able to Handle EDI/IDOC Processing.
* Proficient with Z development handling.
* Candidate should have hands-on experience on of Sales Processes and SD Sales, Shipping, Billing,
Pricing, Credit Management, Outputs, & Basic Functions. Experience in preparation of functional specs
for development objects.
* Interacting with end-user and taking their inputs for any new requirements.
Type, Location
Full Time @ Anywhere in India
Desired Experience
2+ years
Job Description
What You’ll Do
● Deploy, automate and maintain web-scale infrastructure with leading public cloud vendors such as Amazon Web Services, Digital Ocean & Google Cloud Platform.
● Take charge of DevOps activities for CI/CD with the latest tech stacks.
● Acquire industry-recognized, professional cloud certifications (AWS/Google) in the capacity of developer or architect Devise multi-region technical solutions.
● Implementing the DevOps philosophy and strategy across different domains in organisation.
● Build automation at various levels, including code deployment to streamline release process
● Will be responsible for architecture of cloud services
● 24*7 monitoring of the infrastructure
● Use programming/scripting in your day-to-day work
● Have shell experience - for example Powershell on Windows, or BASH on *nix
● Use a Version Control System, preferably git
● Hands on at least one CLI/SDK/API of at least one public cloud ( GCP, AWS, DO)
● Scalability, HA and troubleshooting of web-scale applications.
● Infrastructure-As-Code tools like Terraform, CloudFormation
● CI/CD systems such as Jenkins, CircleCI
● Container technologies such as Docker, Kubernetes, OpenShift
● Monitoring and alerting systems: e.g. NewRelic, AWS CloudWatch, Google StackDriver, Graphite, Nagios/ICINGA
What you bring to the table
● Hands on experience in Cloud compute services, Cloud Function, Networking, Load balancing, Autoscaling.
● Hands on with GCP/AWS Compute & Networking services i.e. Compute Engine, App Engine, Kubernetes Engine, Cloud Function, Networking (VPC, Firewall, Load Balancer), Cloud SQL, Datastore.
● DBs: Postgresql, MySQL, Elastic Search, Redis, kafka, MongoDB or other NoSQL systems
● Configuration management tools such as Ansible/Chef/Puppet
Bonus if you have…
● Basic understanding of Networking(routing, switching, dns) and Storage
● Basic understanding of Protocol such as UDP/TCP
● Basic understanding of Cloud computing
● Basic understanding of Cloud computing models like SaaS, PaaS
● Basic understanding of git or any other source code repo
● Basic understanding of Databases(sql/no sql)
● Great problem solving skills
● Good in communication
● Adaptive to learning

Role: Angular Developer
Exp: 3+ Years
Location: Bengaluru / Bangalore
Job description:-
- Strong experience of Angular js and above along with other technologies like HTML5, CSS, jQuery, AJAX with good knowledge of ECMA Scripts.
- Strong knowledge of JS Fundamentals.
- Design & development of Angular applications as per desired specifications, along with experience in frameworks/libraries like jQuery, Bootstrap, Typescript etc.
- Architecture design, development, testing and maintenance of Web Apps, Implementation based on Angular Application MVC Patterns.
- Own end to end product modules/features (from the requirement to going live)- Design & code review, troubleshoot & help team members on issues.
- Gather requirements by interacting directly with the end-users.
- Research on open source framework/technology required for developing the feature/application.


Job Description
We are looking for a highly capable machine learning engineer to optimize our deep learning systems. You will be evaluating existing deep learning (DL) processes, do hyperparameter tuning, performing statistical analysis (logging and evaluating model’s performance) to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.
You will be working with technologies like AWS Sagemaker, TensorFlow JS, TensorFlow/ Keras/TensorBoard to create Deep Learning backends that powers our application.
To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in Deep Learning role. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software. To do this job successfully, you need exceptional skills in DL and programming.
Responsibilities
-
Consulting with managers to determine and refine machine learning objectives.
-
Designing deep learning systems and self-running artificial intelligence (AI) software to
automate predictive models.
-
Transforming data science prototypes and applying appropriate ML algorithms and
tools.
-
Carry out data engineering subtasks such as defining data requirements, collecting,
labeling, inspecting, cleaning, augmenting, and moving data.
-
Carry out modeling subtasks such as training deep learning models, defining
evaluation metrics, searching hyperparameters, and reading research papers.
-
Carry out deployment subtasks such as converting prototyped code into production
code, working in-depth with AWS services to set up cloud environment for training,
improving response times and saving bandwidth.
-
Ensuring that algorithms generate robust and accurate results.
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Running tests, performing analysis, and interpreting test results.
-
Documenting machine learning processes.
-
Keeping abreast of developments in machine learning.
Requirements
-
Proven experience as a Machine Learning Engineer or similar role.
-
Should have indepth knowledge of AWS Sagemaker and related services (like S3).
-
Extensive knowledge of ML frameworks, libraries, algorithms, data structures, data
modeling, software architecture, and math & statistics.
-
Ability to write robust code in Python & Javascript (TensorFlow JS).
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Experience with Git and Github.
-
Superb analytical and problem-solving abilities.
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Excellent troubleshooting skills.
-
Good project management skills.
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Great communication and collaboration skills.
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Excellent time management and organizational abilities.
-
Bachelor's degree in computer science, data science, mathematics, or a related field;
Master’s degree is a plus.
We are a Quantitative Trading firm building proprietary trading products and infrastructure for crypto markets (both DeFi and CeFi). We are focusing heavily on building up our DeFi capabilities and are looking for a hungry DeFi native engineer to help us conceptualize and build our DeFi strategies and infrastructure.
We are a high-output research team of 5 from a variety of backgrounds, spanning from Machine Learning and System Engineering, all the way to fintech and business.
We build products for both internal and external use to uncover alpha opportunities in different areas of crypto markets, including trading both on centralized and decentralized exchanges (DeFi) and building systems to streamline order execution, gather and digest complex timeseries data streams.
We are looking for a DeFi Software Engineer who has a deep understanding of blockchain and is curious about algorithmic trading. You should be excited about making sense of large quantities of data, and decision modelling on time series, real-time data.
Responsibilities
- Designing, building and testing smart contracts and related infrastructure
- Researching new DeFi protocols and its connectors and building on them
- Building real-time monitoring tools and working with our team on latency-sensitive operations
- Ethereum Node Infrastructure setup and maintenance
- Work with the team on devising new trading strategies and uncovering opportunities
Qualifications
- Deep technical and practical understanding of DeFi protocols and DevOps practices for interfacing with them (both Ethereum and any other relevant one) - Must have extensive knowledge of Solidity, smart contract development (web3js or ethersjs) and testing.
- Knowledge of Javascript (knowledge of Golang/Python programming is nice to have).
- Must be comfortable working with either hardhat or truffle.
- Comfortable working in a dynamic, research-oriented team with several ongoing concurrent projects
- You look forward to working with an interdisciplinary team that longs to find solutions together.
- Knowledge of trading isn't required but interest in the field is paramount. If you are a self-taught wiz who has tried its hands at DeFi trading and AMM, even better!
The number of years of experience does not matter as long as you have built complex projects from scratch, a burning desire to learn more, constantly improve yourself and solving tricky problems on a daily basis. We're a small team so you can assure yourself that whatever you contribute - in terms of an engineer, or otherwise - is always heard and discussed.
Benefits
- Competitive salary and performance-based bonuses
- A young startup work environment, where your initiatives and ideas count and are rewarded
- A unique open research environment, where everybody contributes and sees the full spectrum of our work, from inception to production
- The chance to shape our firm's legacy and exchange knowledge with the team on every part of what we do.
The role location is preferably Hyderabad with to be able to brainstorm in person with the R&D team, but remote in India is also possible.
Please share github profiles and details of previous projects worked on (both commercial and personal).



• On-boarding of new clients and servicing of existing clients for increased business. • Responsibility for the entire process of lead management, sales and business development.
• Data management to ensure 100% coverage in assigned territory and tracking other key parameter.
• Ensuring timely collection of all revenue from clients
• Ensuring end to end client relationship management and servicing
• Providing the market intelligence, data analytics and insights for the marketing team to launch the right promotional and customer communication initiatives.
• Responsibility for achieving sales and revenue targets in the designated areas.
• Mapping of new projects and new Broker in designated territories, acquisition of new projects and new brokers to ensure coverage across designated territory.

