Machine Learning (ML)
Python
Deep Learning- Participate in full machine learning Lifecycle including data collection, cleaning, preprocessing to training models, and deploying them to Production.
- Discover data sources, get access to them, ingest them, clean them up, and make them “machine learning ready”.
- Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models.
- Partner with data scientists to understand and implement machine learning algorithms.
- Support A/B tests, gather data, perform analysis, draw conclusions on the impact of your models.
- Work cross-functionally with product managers, data scientists, and product engineers, and communicate results to peers and leaders.
- Mentor junior team members
Who we have in mind:
- Graduate in Computer Science or related field, or equivalent practical experience.
- 4+ years of experience in software engineering with 2+ years of direct experience in the machine learning field.
- Proficiency with SQL, Python, Spark, and basic libraries such as Scikit-learn, NumPy, Pandas.
- Familiarity with deep learning frameworks such as TensorFlow or Keras
- Experience with Computer Vision (OpenCV), NLP frameworks (NLTK, SpaCY, BERT).
- Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering).
- Understand machine learning principles (training, validation, etc.)
- Strong hands-on knowledge of data query and data processing tools (i.e. SQL)
- Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code.
- Experience deploying highly scalable software supporting millions or more users
- Experience building applications on cloud (AWS or Azure)
- Experience working in scrum teams with Agile tools like JIRA
- Strong oral and written communication skills. Ability to explain complex concepts and technical material to non-technical users
Shubham Vishwakarma
Full Stack Developer - Averlon
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● JavaScript/Typescript and React Native.
● Experience using technologies like React Native, Redux/MobX/Saga, TypeScript, modern CSS frameworks and webpack.
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● Good Communication Skills
We’re hiring a digital marketing professional with strong SEO skills to drive web and app growth. You’ll work on campaigns, content, and SEO strategies to increase organic traffic, improve search visibility, and boost app installs.
What You’ll Do:
- Run SEO strategies for app landing pages & blogs
- Do keyword research & competitor analysis
- Optimise content, meta tags, and page structure
- Monitor traffic, rankings, and engagement metrics
- Plan and execute digital campaigns (Google Ads, Meta Ads)
- Collaborate with content, design, and ASO teams
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Must-Have Experience:
- 1+ years in digital marketing with core SEO responsibility
- Strong knowledge of on-page, off-page & technical SEO
- Tools: Google Search Console, SEMrush, Ahrefs, GA
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- Hands-on with digital ads and keyword targeting
- Ability to write/edit SEO-friendly content
- Familiar with mobile SEO and app marketing funnels
Role: Tele Sales Executive-International / Tele Sales Executive-Domestic
Department- Sales
Experience: 1 To 3 years
CTC: up to 4 LPA
Location: Mumbai
Responsibilities:
Lead Generation:
• Conduct research to identify potential customers and industries for our products/services.
• Utilize various channels, including social media, email campaigns, and cold calling, to generate leads. Prospect Qualification:
• Engage with leads to understand their needs and assess their potential as qualified prospects.
• Gather additional information for effective lead qualification.
Sales Outreach:
• Conduct outbound calls, emails, and other communication methods to initiate conversations with potential customers.
• Articulate the value proposition of our products/services to prospects and create interest in further discussions.
• Create and send proposals as per discussion with potential clients
• Coordinate with Accounts for Invoice creation and send to potential clients
• Ensure payment is received with given period for the services
Role - MIS Executive
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Job Location - Ahmedabad
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- Generate and distribute management reports in an accurate and timely manner.
- Use Advanced Excel capabilities, including pivot tables, look-ups, complex formulas and graphing to streamline business processes.
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- Extract the data from the designated portal and update it.
- Provide recommendations to update current MIS to improve reporting efficiency and consistency.
- Perform data analysis for generating reports on a periodic basis.
- Provide strong reporting and analytical information support to the management team.
- Generate both periodic and ad hoc reports as required.
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- Provide support and assistance to management in issue troubleshooting and resolution.
- Handling database management by using Advanced Excel tools & MS Access
- Should be proficient with Advanced Excel Formulas such as, Pivot Table, Lookups, Index Formatting, Conditional Formatting.
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- 2 to 4 Years experience in MIS and Dashboarding is a must.
Go Programming (Golang)We are looking "Go Developer" for Reputed Client @ Bangalore Permanent Role.
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• Ensure the performance, quality, and responsiveness of applications.
System Architecture:
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• Implement and maintain unit and integration tests to ensure code robustness, usability, and reliability.
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• Collaborate with the operations team to diagnose and resolve system-related issues.
Documentation:
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• Document code and processes for knowledge sharing and onboarding purposes.
Collaboration:
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Continuous Learning:
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C#
.NETTecholution is looking for a .NET Developer who will play a crucial role in developing and maintaining our applications. You will be responsible for designing, implementing, and optimizing high-performance, scalable applications using the latest .NET technologies. This role requires a strong foundation in software development, a keen eye for detail, and a commitment to delivering high-quality solutions.
Title : .Net Developer
Location: Hyderabad
Timings: 2 PM - 11 PM
Years of Experience: 3-5yrs
Roles & Responsibilities:
- Develop and maintain high-quality software solutions using C# and ASP.NET Core.
- Design and implement scalable and efficient microservices architecture.
- Utilize Azure Services to enhance application performance and scalability.
- Implement CI/CD practices and principles to ensure smooth deployment and continuous integration.
- Work with NoSQL and SQL databases to manage and store data effectively.
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- Troubleshoot and resolve technical issues, ensuring high performance and responsiveness of applications.
- Collaborate with cross-functional teams to define, design, and ship new features.
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Required Skills:
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- Experience with both NoSQL and SQL databases.
- Proficient in implementing TDD practices.
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About Techolution:
Techolution is a Product Development firm on track to become one of the most admired brands in the world for "innovation done right". Our purpose is to harness our expertise in novel technologies to deliver more profits for our enterprise clients while helping them deliver a
better human experience for the communities they serve. With that, we are now fully
committed to helping our clients build the enterprise of tomorrow by making the leap from Lab Grade AI to Real World AI.
We are honored to have recently received the prestigious Inc 500 Best In Business award, a testament to our commitment to excellence. While we are big enough to be trusted by some of the greatest brands in the world, we are small enough to care about delivering meaningful ROI-generating innovation at a guaranteed price for each client that we serve.
Let’s give you more insights!
One of our amazing products with Artificial Intelligence:
1. https://faceopen.com/ : Our proprietary and powerful AI Powered user identification system which is built on artificial intelligence technologies such as image recognition, deep neural networks, and robotic process automation. (No more touching keys, badges or fingerprint scanners ever again!)
Some videos you wanna watch!
- Life at Techolution
- GoogleNext 2023
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- WaWa - Solving Food Wastage
- Saving lives - Brooklyn Hospital
- Innovation Done Right on Google Cloud
- Techolution featured on Worldwide Business with KathyIreland
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Visit us @www.techolution.com : To know more about our revolutionary core practices and getting to know in detail about how we enrich the human experience with technology.
PythonWe are a research and product development studio focusing on building applications powered by blockchain and AI technology.
We are looking for a DeFi Software Engineer with a deep understanding of Ethereum and tons of curiosity!
What are we building: We are building a peer-to-pool-based derivatives trading platform (perps and options) with novel mechanics where liquidity providers can choose whether they want to be actively or passively involved in making the market.
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2. Researching new DeFi protocols and their connectors and building on them
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4. Staying up to date on any developments in Defi relevant to the project
Qualifications
1. Must have extensive knowledge of Solidity, smart contract development (web3js or eth-brownie), testing and deploying a functioning smart contract on an EVM chain
2. Knowledge of Python (knowledge of Golang/Rust programming is pleasant to have).
3. Must be comfortable working with either eth-brownie
4. Comfortable working in a dynamic, research-oriented team with several ongoing concurrent projects
5. You look forward to working with an interdisciplinary team that longs to find solutions together.
6. Deep technical and practical understanding of DeFi protocols*
7. *Knowledge of DeFi isn't a must but it is a big plus! The number of years of experience does not matter as long as you have built complex projects from scratch, have a burning desire to learn more, constantly improve yourself, and solve tricky problems daily.
We're a small team so you can assure yourself that whatever you contribute - in terms of engineering, or otherwise - is always heard and discussed.
Benefits
1. Competitive salary and performance-based bonuses
2. Equity in the protocol
3. A unique open research environment, where everybody contributes and sees the full spectrum of our work, from inception to production
4. The chance to shape our firm's legacy and exchange knowledge with the team on every part of what we do. The role is remote. Please share GitHub profiles and details of previous projects worked on (both commercial and personal)
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PostgreSQL
MongoDBAbout us:
HappyFox is a software-as-a-service (SaaS) support platform. We offer an enterprise-grade help desk ticketing system and intuitively designed live chat software.
We serve over 12,000 companies in 70+ countries. HappyFox is used by companies that span across education, media, e-commerce, retail, information technology, manufacturing, non-profit, government and many other verticals that have an internal or external support function.
To know more, Visit! - https://www.happyfox.com/
We’re looking for a Lead Backend Engineer with 5+ years of experience in building web services to join our engineering team to help architect, build and run our growing list of products. You should have prior experience being responsible for building sufficiently complex products/services and mentoring software engineers.
Responsibilities:
- Lead a team of engineers working on our product roadmap. You are expected to contribute to feature development with hands-on development tasks
- Oversee software architecture, source control workflows, and CI/CD processes and perform code reviews to ensure exceptional code quality
- Improve the development experience and the quality of the codebase. You will define and uphold best practices and coding standards for the team
- Responsible for architecture and design decisions
- Own stability and performance of the service that you work on
- Work with the Engineering Manager to ship stable software on time
- Contribute to the vision and long-term strategy in your area of expertise
Requirements:
- 2+ years of experience in a technical lead role designing and building complex backend systems
- 5+ years of professional software development experience
- Excellent knowledge of best practices and coding patterns
- Deep knowledge of backend programming languages like Python and web application frameworks like Django
- Solid experience in building web services using relational databases like PostgreSQL or NoSQL databases like MongoDB
- Proficiency with Amazon Web Services (AWS) or Google Cloud Platform or Azure
- Extensive experience with Linux/UNIX production environments
- Strong sense of quality in terms of both program architecture and code style
- Passion to dig into technically complex problems to troubleshoot and figure out a solution
- Desire to continuously improve and ship the best quality product
- Pragmatic approach to make sure technical decisions align with actual business needs.
- Good understanding of the trade-offs when building for product value, reliability, or performance
- Excellent communication skills with the ability to discuss and explain your point of view clearly and effectively
- An engineering degree is a must(B.E. CS preferred)
Data ScienceMachine Learning (ML)XressBees – a logistics company started in 2015 – is amongst the fastest growing companies of its sector. Our
vision to evolve into a strong full-service logistics organization reflects itself in the various lines of business like B2C
logistics 3PL, B2B Xpress, Hyperlocal and Cross border Logistics.
Our strong domain expertise and constant focus on innovation has helped us rapidly evolve as the most trusted
logistics partner of India. XB has progressively carved our way towards best-in-class technology platforms, an
extensive logistics network reach, and a seamless last mile management system.
While on this aggressive growth path, we seek to become the one-stop-shop for end-to-end logistics solutions. Our
big focus areas for the very near future include strengthening our presence as service providers of choice and
leveraging the power of technology to drive supply chain efficiencies.
Job Overview
XpressBees would enrich and scale its end-to-end logistics solutions at a high pace. This is a great opportunity to join
the team working on forming and delivering the operational strategy behind Artificial Intelligence / Machine Learning
and Data Engineering, leading projects and teams of AI Engineers collaborating with Data Scientists. In your role, you
will build high performance AI/ML solutions using groundbreaking AI/ML and BigData technologies. You will need to
understand business requirements and convert them to a solvable data science problem statement. You will be
involved in end to end AI/ML projects, starting from smaller scale POCs all the way to full scale ML pipelines in
production.
Seasoned AI/ML Engineers would own the implementation and productionzation of cutting-edge AI driven algorithmic
components for search, recommendation and insights to improve the efficiencies of the logistics supply chain and
serve the customer better.
You will apply innovative ML tools and concepts to deliver value to our teams and customers and make an impact to
the organization while solving challenging problems in the areas of AI, ML , Data Analytics and Computer Science.
Opportunities for application:
- Route Optimization
- Address / Geo-Coding Engine
- Anomaly detection, Computer Vision (e.g. loading / unloading)
- Fraud Detection (fake delivery attempts)
- Promise Recommendation Engine etc.
- Customer & Tech support solutions, e.g. chat bots.
- Breach detection / prediction
An Artificial Intelligence Engineer would apply himself/herself in the areas of -
- Deep Learning, NLP, Reinforcement Learning
- Machine Learning - Logistic Regression, Decision Trees, Random Forests, XGBoost, etc..
- Driving Optimization via LPs, MILPs, Stochastic Programs, and MDPs
- Operations Research, Supply Chain Optimization, and Data Analytics/Visualization
- Computer Vision and OCR technologies
The AI Engineering team enables internal teams to add AI capabilities to their Apps and Workflows easily via APIs
without needing to build AI expertise in each team – Decision Support, NLP, Computer Vision, for Public Clouds and
Enterprise in NLU, Vision and Conversational AI.Candidate is adept at working with large data sets to find
opportunities for product and process optimization and using models to test the effectiveness of different courses of
action. They must have knowledge using a variety of data mining/data analysis methods, using a variety of data tools,
building, and implementing models, using/creating algorithms, and creating/running simulations. They must be
comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion
for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Roles & Responsibilities
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Building cloud services in Decision Support (Anomaly Detection, Time series forecasting, Fraud detection,
Risk prevention, Predictive analytics), computer vision, natural language processing (NLP) and speech that
work out of the box.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Build core of Artificial Intelligence and AI Services such as Decision Support, Vision, Speech, Text, NLP, NLU,
and others.
● Leverage Cloud technology –AWS, GCP, Azure
● Experiment with ML models in Python using machine learning libraries (Pytorch, Tensorflow), Big Data,
Hadoop, HBase, Spark, etc
● Work with stakeholders throughout the organization to identify opportunities for leveraging company data to
drive business solutions.
● Mine and analyze data from company databases to drive optimization and improvement of product
development, marketing techniques and business strategies.
● Assess the effectiveness and accuracy of new data sources and data gathering techniques.
● Develop custom data models and algorithms to apply to data sets.
● Use predictive modeling to increase and optimize customer experiences, supply chain metric and other
business outcomes.
● Develop company A/B testing framework and test model quality.
● Coordinate with different functional teams to implement models and monitor outcomes.
● Develop processes and tools to monitor and analyze model performance and data accuracy.
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Deliver machine learning and data science projects with data science techniques and associated libraries
such as AI/ ML or equivalent NLP (Natural Language Processing) packages. Such techniques include a good
to phenomenal understanding of statistical models, probabilistic algorithms, classification, clustering, deep
learning or related approaches as it applies to financial applications.
● The role will encourage you to learn a wide array of capabilities, toolsets and architectural patterns for
successful delivery.
What is required of you?
You will get an opportunity to build and operate a suite of massive scale, integrated data/ML platforms in a broadly
distributed, multi-tenant cloud environment.
● B.S., M.S., or Ph.D. in Computer Science, Computer Engineering
● Coding knowledge and experience with several languages: C, C++, Java,JavaScript, etc.
● Experience with building high-performance, resilient, scalable, and well-engineered systems
● Experience in CI/CD and development best practices, instrumentation, logging systems
● Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights
from large data sets.
● Experience working with and creating data architectures.
● Good understanding of various machine learning and natural language processing technologies, such as
classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.
● Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest,
Boosting, Trees, text mining, social network analysis, etc.
● Knowledge on using web services: Redshift, S3, Spark, Digital Ocean, etc.
● Knowledge on creating and using advanced machine learning algorithms and statistics: regression,
simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
● Knowledge on analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics,
AdWords, Crimson Hexagon, Facebook Insights, etc.
● Knowledge on distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Kafka etc.
● Knowledge on visualizing/presenting data for stakeholders using: Quicksight, Periscope, Business Objects,
D3, ggplot, Tableau etc.
● Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
● Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests, and proper usage, etc.) and experience with applications.
● Experience building data pipelines that prep data for Machine learning and complete feedback loops.
● Knowledge of Machine Learning lifecycle and experience working with data scientists
● Experience with Relational databases and NoSQL databases
● Experience with workflow scheduling / orchestration such as Airflow or Oozie
● Working knowledge of current techniques and approaches in machine learning and statistical or
mathematical models
● Strong Data Engineering & ETL skills to build scalable data pipelines. Exposure to data streaming stack (e.g.
Kafka)
● Relevant experience in fine tuning and optimizing ML (especially Deep Learning) models to bring down
serving latency.
● Exposure to ML model productionzation stack (e.g. MLFlow, Docker)
● Excellent exploratory data analysis skills to slice & dice data at scale using SQL in Redshift/BigQuery.
JavascriptHTML/CSS
Angular (2+)
Bootstrap
React.js
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Full Stack Developer - Averlon