Research Scientist - Machine Learning/Artificial Intelligence
Machine Learning (ML)
Shubham Vishwakarma
Full Stack Developer - Averlon
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.NET
C#Sr Software Engineer
Company Summary :
As the recognized global standard for project-based businesses, Deltek delivers software and information solutions to help organizations achieve their purpose. Our market leadership stems from the work of our diverse employees who are united by a passion for learning, growing and making a difference.
At Deltek, we take immense pride in creating a balanced, values-driven environment, where every employee feels included and empowered to do their best work. Our employees put our core values into action daily, creating a one-of-a-kind culture that has been recognized globally. Thanks to our incredible team, Deltek has been named one of America's Best Midsize Employers by Forbes, a Best Place to Work by Glassdoor, a Top Workplace by The Washington Post and a Best Place to Work in Asia by World HRD Congress. www.deltek.com
Business Summary :
The Deltek Engineering and Technology team builds best-in-class solutions to delight customers and meet their business needs. We are laser-focused on software design, development, innovation and quality. Our team of experts has the talent, skills and values to deliver products and services that are easy to use, reliable, sustainable and competitive. If you're looking for a safe environment where ideas are welcome, growth is supported and questions are encouraged – consider joining us as we explore the limitless opportunities of the software industry.
Position Responsibilities :
About the Role
We are looking for a skilled and motivated Senior Software Developer to join our team responsible for developing and maintaining a robust ERP solution used by approximately 400 customers and more than 30000 users worldwide. The system is built using C# (.NET Core), leverages SQL Server for data management, and is hosted in the Microsoft Azure cloud.
This role offers the opportunity to work on a mission-critical product, contribute to architectural decisions, and help shape the future of our cloud-native ERP platform.
Key Responsibilities
- Design, develop, and maintain features and modules within the ERP system using C# (.NET Core)
- Optimize and manage SQL Server database interactions for performance and scalability
- Collaborate with cross-functional teams, including QA, DevOps, Product Management, and Support
- Participate in code reviews, architecture discussions, and technical planning
- Contribute to the adoption and improvement of CI/CD pipelines and cloud deployment practices
- Troubleshoot and resolve complex technical issues across the stack
- Ensure code quality, maintainability, and adherence to best practices
- Stay current with emerging technologies and recommend improvements where applicable
Qualifications
- Curiosity, passion, teamwork, and initiative
- Strong experience with C# and .NET Core in enterprise application development
- Solid understanding of SQL Server, including query optimization and schema design
- Experience with Azure cloud services (App Services, Azure SQL, Storage, etc.)
- Ability to utilize agentic AI as a development support, with a critical thinking attitude
- Familiarity with agile development methodologies and DevOps practices
- Ability to work independently and collaboratively in a fast-paced environment
- Excellent problem-solving and communication skills
- Master's degree in Computer Science or equivalent; 5+ years of relevant work experience
- Experience with ERP systems or other complex business applications is a plus
What We Offer
- A chance to work on a product that directly impacts thousands of users worldwide
- A collaborative and supportive engineering culture
- Opportunities for professional growth and technical leadership
- Competitive salary and benefits package
Total Exp: 3-8 years
Job Location: Ahmedabad - WFO
Job Description:
Roles / Responsibilities:
- Create high-quality, Research based & engaging content, including Landing Pages, blogs, portfolio, case studies, guest blogging and more.
- Collaborate with the team to develop and execute the content.
- Updating website content as needed
- Create new content to assist marketing campaigns
- Work closely with marketing team members
- Optimize content using SEO best practices
- Conducting simple keyword research and use SEO guidelines to increase web traffic
- Present drafts and final deliverables to the internal team, and founders as needed, and participate in brainstorming sessions from time-to-time
- Revise copy based on feedback/direction
- Be willing to suggest creative ways to showcase our products to a distinct set of users and customers worldwide
- Ensure brand image and message is being maintained across all company communication
Requirements:
- Exceptional proficiency in written and verbal English communication is essential.
- Proven Strong Written Communication Skills
- Minimum 3+ years Experience in Technical writing (with work samples)
- Knowledge of IT industry and jargons is desirable
- Familiarity with content management system
Python🚀 About Us
At Remedo, we're building the future of digital healthcare marketing. We help doctors grow their online presence, connect with patients, and drive real-world outcomes like higher appointment bookings and better Google reviews — all while improving their SEO.
We’re also the creators of Convertlens, our generative AI-powered engagement engine that transforms how clinics interact with patients across the web. Think hyper-personalized messaging, automated conversion funnels, and insights that actually move the needle.
We’re a lean, fast-moving team with startup DNA. If you like ownership, impact, and tech that solves real problems — you’ll fit right in.
🛠️ What You’ll Do
- Build and maintain scalable Python back-end systems that power Convertlens and internal applications.
- Develop Agentic AI applications and workflows to drive automation and insights.
- Design and implement connectors to third-party systems (APIs, CRMs, marketing tools) to source and unify data.
- Ensure system reliability with strong practices in observability, monitoring, and troubleshooting.
⚙️ What You Bring
- 2+ years of hands-on experience in Python back-end development.
- Strong understanding of REST API design and integration.
- Proficiency with relational databases (MySQL/PostgreSQL).
- Familiarity with observability tools (logging, monitoring, tracing — e.g., OpenTelemetry, Prometheus, Grafana, ELK).
- Experience maintaining production systems with a focus on reliability and scalability.
- Bonus: Exposure to Node.js and modern front-end frameworks like ReactJs.
- Strong problem-solving skills and comfort working in a startup/product environment.
- A builder mindset — scrappy, curious, and ready to ship.
💼 Perks & Culture
- Flexible work setup — remote-first for most, hybrid if you’re in Delhi NCR.
- A high-growth, high-impact environment where your code goes live fast.
- Opportunities to work with Agentic AI and cutting-edge tech.
- Small team, big vision — your work truly matters here.
PythonMachine Learning (ML)We are looking for a dynamic and skilled Data Science and Data Analyst Trainer with 2 to 5 years of hands-on industry and/or teaching experience. The ideal candidate should be able to simplify complex data concepts, mentor aspiring professionals, and deliver effective training programs in data analytics, data science, and business intelligence tools.
Data ScienceMachine Learning (ML)
Deep LearningJob Description:
1.Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges
a. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem
b. Improve Model accuracy to deliver greater business impact
c.Estimate business impact due to deployment of model
2.Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge
3.Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines
4.Design , develop & deploy Deep learning models using Tensorflow / Pytorch
5.Experience in using Deep learning models with text, speech, image and video data
a.Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc
b.Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV
c.Knowledge of State of the art Deep learning algorithms
6.Optimize and tune Deep Learnings model for best possible accuracy
7.Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau
8.Work with application teams, in deploying models on cloud as a service or on-prem
a.Deployment of models in Test / Control framework for tracking
b.Build CI/CD pipelines for ML model deployment
9.Integrating AI&ML models with other applications using REST APIs and other connector technologies
10.Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.
· Technology/Subject Matter Expertise
- Sufficient expertise in machine learning, mathematical and statistical sciences
- Use of versioning & Collaborative tools like Git / Github
- Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming
- Develop prototype level ideas into a solution that can scale to industrial grade strength
- Ability to quantify & estimate the impact of ML models.
· Softskills Profile
- Curiosity to think in fresh and unique ways with the intent of breaking new ground.
- Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control
- Ability to think ahead, and anticipate the needs for solving the problem will be important
· Ability to communicate key messages effectively, and articulate strong opinions in large forums
· Desirable Experience:
- Keen contributor to open source communities, and communities like Kaggle
- Ability to process Huge amount of Data using Pyspark/Hadoop
- Development & Application of Reinforcement Learning
- Knowledge of Optimization/Genetic Algorithms
- Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios
- Optimize and tune deep learning model for best possible accuracy
- Understanding of stream data processing, RPA, edge computing, AR/VR etc
- Appreciation of digital ethics, data privacy will be important
- Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus
- Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus
Python
CC++Machine Learning (ML)Require Someone skilled in python / C/C++ to work on new products and also support existing AI based products .
Should be open to learning new frameworks
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.
Android Development
KotlinMachine Learning (ML)About WeSkill: WeSkill is an early-stage funded EdTech startup. Founded by alums from IIMA, IITB and IITD. We are on a mission to reimagine holistic education for kids in India.
As a Full Stack App Developer, you will:
-
Be a core team member and ride alongside the founders in a high-growth journey
-
Play the role of a tech-lead on various projects, and establish yourself as an SME in certain areas
-
Design, build and maintain high performance, reusable, and reliable code
-
Write Unit & UI tests, set up dashboards and alerting, uncover and fix bugs, crashes, and other issues, in order to ensure a robust app
-
Analyze and optimize UI and infrastructure application code for quality, efficiency, and performance
-
Mentor, coach and develop engineers and lead by example
-
Collaborate with Product Designers to deliver compelling consumer-facing products on the Android Platform
We are looking for:
- Minimum experience of 3 years in developing android applications with proficiency in Kotlin/ Flutter
- Strong preference for candidates who've worked for a consumer-facing product company or social media or EdTech company
- Experience in defining system architectures and exploring technical feasibility tradeoffs.
- Have experience with common Android libraries like Retrofit, OkHttp, Picasso, RxJava, Gson, Arch-components, etc.
- Debugging skills, including identifying memory leaks, performance bottlenecks, and using tools like adb, proguard, etc
- Experience with multithreading programming and mobile memory management is a plus
Pay range: Competitive salary with generous ESOP pool
Position: Senior Android Developer
Deep LearningMachine Learning (ML)Python
Docker
KubernetesAn experienced and hands-on Technical Architect to lead our Video analytics & Surveillance product
• An ideal candidate would have worked in large scale video platforms (Youtube, Netflix, Hotstar, etc) or Surveillance softwares
• As a Technical Architect, you are hands-on and also a top contributor to the product development
• Leading teams under time-sensitive projects
Skills Required:
• Expert level Python programming language skills is a MUST
• Hands-on experience with Deep Learning & Machine learning projects is a MUST
• Has to experience in design and development of products
• Review code & mentor team in improving the quality and efficiency of the delivery
• Ability to troubleshoot and address complex technical problems.
• Has to be a quick learner & ability to adapt to increasing customer demands
• Hands-on experience in design and deploying large scale docker and Kubernetes
• Can lead a technically strong team in sharpening the product further
• Strong design capability with microservices-based architecture and its pitfalls
• Should have worked in large scale data processing systems
• Good understanding of DevOps processes
• Familiar with Identity management, Authorization & Authentication frameworks
• Possesses very strong Software Design, enterprise networking systems, advanced problem-solving skills
• Experience writing technical architecture documents
Machine Learning (ML)PythonDeep LearningJob Description:
Roles & Responsibilities:
· You will be involved in every part of the project lifecycle, right from identifying the business problem and proposing a solution, to data collection, cleaning, and preprocessing, to training and optimizing ML/DL models and deploying them to production.
· You will often be required to design and execute proof-of-concept projects that can demonstrate business value and build confidence with CloudMoyo’s clients.
· You will be involved in designing and delivering data visualizations that utilize the ML models to generate insights and intuitively deliver business value to CXOs.
Desired Skill Set:
· Candidates should have strong Python coding skills and be comfortable working with various ML/DL frameworks and libraries.
· Hands-on skills and industry experience in one or more of the following areas is necessary:
1) Deep Learning (CNNs/RNNs, Reinforcement Learning, VAEs/GANs)
2) Machine Learning (Regression, Random Forests, SVMs, K-means, ensemble methods)
3) Natural Language Processing
4) Graph Databases (Neo4j, Apache Giraph)
5) Azure Bot Service
6) Azure ML Studio / Azure Cognitive Services
7) Log Analytics with NLP/ML/DL
· Previous experience with data visualization, C# or Azure Cloud platform and services will be a plus.
· Candidates should have excellent communication skills and be highly technical, with the ability to discuss ideas at any level from executive to developer.
· Creative problem-solving, unconventional approaches and a hacker mindset is highly desired.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon