Greetings..
We have requirement for Integration Specialist/Implementation specialist/Technologist.
Location: Navi Mumbai(base)
ready to travel to US for project work
We have Multiple requirements for the US project
The candidate should have B1/B2 visa
Ready to relocate to Mumbai
Should have experience either on Hyper V or HL7 or Pacs

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Requirement:
Bachelor’s Degree or equivalent degree in computer science
Min 1-3 years of experience in Python and backend technology
Development experience with programming languages like C/C++, Erlang, Elixir.
Experience in Python / Go Lang is a must
Experience in creating and dealing with REST API and socket technology
Working Knowledge of RabbitMQ and Kafka
Knowledge of both SQL and NoSQL databases along with Redis and elastic search.
Working knowledge of network communication, TCP, UDP, HTTP, etc
Roles and Responsibilities:
Participate in the entire application lifecycle, focusing on coding and debugging
Write clean code to develop functional web applications
Troubleshoot and debug applications
Perform UI tests to optimize performance
Manage cutting-edge technologies to improve legacy applications
Collaborate with Front-end developers to integrate user-facing elements with server-side logic
Gather and address technical and design requirements
Provide training and support to internal teams
Build reusable code and libraries for future use
Liaise with developers, designers, and system administrators to identify new features
Follow emerging technologies
Optimizing multiple producers and multiple consumer system
Develop a Fault-tolerant application design.
Responsibilities
- Develop and implement HR strategies and initiatives.
- Bridge management and employee relations by addressing demands, grievances or other issues.
- Manage the recruitment and selection process.
- Support current and future business needs through the development, engagement, motivation and preservation of human capital and monitor overall HR strategies, systems, tactics and procedures across the organization Nurture a positive working environment.
- Oversee and manage a performance appraisal system that drives high performance.
- Report to management and provide decision support through HR metrics.
About the Role:
We are looking for a highly motivated and detail-oriented Campaign Management Associate to join our dynamic marketing team in Ahmedabad. In this role, you will be responsible for planning, executing, and analyzing data-driven marketing campaigns that elevate our brand visibility and drive meaningful customer engagement.
If you are passionate about performance marketing and love leveraging data to deliver results, this is the perfect opportunity for you. We value self-driven professionals who take ownership and thrive in a collaborative, fast-paced environment.
Key Responsibilities:
- Manage and optimize campaigns across Facebook Ads Manager and Google Search, Display, and Video Ads.
- Plan, develop, and execute high-performing paid advertising campaigns.
- Handle large campaign budgets for brands generating up to $2 million in annual revenue.
- Utilize analytics to develop actionable insights and strategic recommendations.
- Conduct marketing research and apply consumer psychology principles to campaigns.
- Collaborate effectively with cross-functional teams and communicate results clearly.
- Prioritize and manage multiple projects independently while maintaining accuracy and attention to detail.
What We’re Looking For:
- Strong analytical mindset with a consumer-first approach.
- Excellent communication and collaboration skills.
- Proven ability to self-manage and deliver within deadlines.
- A passion for data-driven marketing and continuous learning.
- Precision, thoroughness, and a high attention to detail.
Perks:
- Exposure to global brands and large-scale campaign management.
- Supportive and growth-oriented work culture.
- 5 Days working
- Flexible working hours
- Mediclaim working hours
- Maternity Leave benefits
- Paternity Leave benefits
- Birthday Leave benefits
- Yearly Performance Incentives
- Bereavement Leave
About the Role:
We are looking for a Salesforce Upwork Bidder who has hands-on experience bidding on Salesforce-specific projects on Upwork or other freelance platforms. This is an onsite role based out of Noida (Sector 62) and requires strong communication, sales mindset, and familiarity with the Upwork ecosystem.
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Key Responsibilities:
Bid on Salesforce CRM projects via Upwork (mandatory).
Write customized proposals tailored to client needs.
Communicate with clients, understand their technical requirements, and work with delivery teams for smooth project execution.
Identify new business opportunities and build long-term client relationships.
Follow-up consistently to convert leads into active deals.
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Requirements:
1–3 years of experience in Upwork bidding, especially for Salesforce or CRM-based projects.
Understanding of Salesforce products (Sales Cloud, Service Cloud, Apex, etc.) is a big plus.
Strong communication, proposal writing, and negotiation skills.
Self-motivated and target-driven.
Must be open to working onsite in Noida (WFO only).
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Nice-to-Have:
Prior experience in IT Sales/Pre-sales.
Knowledge of other CRM tools like HubSpot, Zoho (not mandatory).
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Why Join Us?
Work closely with a growing Salesforce delivery team.
Opportunity to build a full-fledged sales team around this vertical.
Exposure to global clients via freelance platforms.
Our client is an innovative Fintech company that is revolutionizing the business of short term finance. The company is an online lending startup that is driven by an app-enabled technology platform to solve the funding challenges of SMEs by offering quick-turnaround, paperless business loans without collateral. It counts over 2 million small businesses across 18 cities and towns as its customers. Its founders are IIT and ISB alumni with deep experience in the fin-tech industry, from earlier working with organizations like Axis Bank, Aditya Birla Group, Fractal Analytics, and Housing.com. It has raised funds of Rs. 100 Crore from finance industry stalwarts and is growing by leaps and bounds.
What you will do:
- Reviewing the portfolio monitoring/ early warning signals mechanism on ongoing basis
- Monitoring internal and external data points that may affect the risk level of a decision
- Aggregating data from multiple sources to provide a comprehensive assessment
- Coming up with the solution to reduce risks
- Bringing fresh ideas to the table and being keen observers of trends on analytics and financial services industry
- Creating reports, summaries, presentations and process documents to display results
Desired Candidate Profile
What you need to have:- MBA/BE/ Masters Statistics/ Mathematics, with work experience of 1-5 years in a similar company or related field
- Work experience with analytics consulting into financial services Indian Banks/ NBFCs in-house analytics units or Fintech/analytics start-ups would be a plus
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.
- Working with the product team to build scalable and secure NodeJS micro-services.
- Having an understanding of Python and write Python code as well.
- Building smooth UI/UX workflows to satisfy the business logging and monitoring tools like Loki/EFK, Prometheus, Sentry, Grafana.
- Knowing functional programming, SDLC (Software development Life cycle).
- Knowing how to write both synchronous and asynchronous code using NodeJS.
- Creating CI/CD pipelines.
- Maintaining quality and ensuring responsiveness of applications.
- Having structured, focused thinking, and able to keep to task lists and time lines.
What you need to have:
- Proficient in NodeJS,Docker,Angular9+, ReactJS, Python, CI/CD.
- Strong knowledge of building scalable and secure NodeJS micro-services.
- Strong experience in building smooth UI/UX workflows to satisfy the business requirements.
- Should be familiar with logging and monitoring tools like Loki/EFK, Prometheus, Sentry, Grafana.
- Strong knowledge in NodeJS, Functional programming, SDLC (Software development Life cycle). Should be able to write both synchronous and asynchronous code using NodeJS.
- Must be proficient in GIT.
- Experience is creating CI/CD pipelines.
- Experience with working on Linux based servers.
- Should have experience with both SQL and NoSQL databases. Experience with in-memory databases like Redis is a plus.
- Should have Angular and React knowledge. Experience with web workers and building drag-drop web interfaces is a bonus and calls for extra points.
- Should be able to design a database schema for any given problem statement.
- Hands on experience in developing serverless architecture is a must.
- Knowledge in deployment using Docker, Docker Swarm, Kubernetes and how containerized applications work is a must.
- Experience in dealing with third party API’s.
- Familiar with OAuth2 server implementation.
- Able to architect microservices-based applications.
- Prior product-based startup experience is a plus.

- The opportunity to take on some of the world’s most meaningful challenges, helping customers achieve clean water, safe food, abundant energy, and healthy environments
- The ability to make an impact and shape your career with a company that is passionate about growth
- The support of an organization that believes it is vital to include and engage diverse people, perspectives, and ideas to achieve our best
- Thrive in a company that values sustainability, drives a safety-focused culture, and has been recognized as one of the most ethical companies in the world
- Comprehensive benefits package starting day 1 of employment- medical, dental, vision, matching 401k, company-paid pension, stock purchase plan, tuition reimbursement, and more!
What You Will Do:
- Gather and process raw data at scale (including writing scripts, web scraping, calling APIs, write SQL queries, manage PI data, etc.).
- Devise and deploy the core automated processes that pre-process, clean, and present the required data for further processing.
- Develop and implement standard quality checks/algorithms and continuously improve upon these in collaboration with software and marketing teams.
- Develop and deploy metrics, dashboards, and visualizations characterizing both individual accounts and corporate enterprises in analytically insightful and visually compelling ways
- Apply engineering knowledge in developing data-driven algorithms for anomaly detection, failure prediction, and optimization.
- Work closely with our field sales, marketing, and industry technical consultants to configure data aggregation and visualization platforms and sustain those platforms over time.
- Process unstructured data into a form suitable for analysis – and then do the analysis.
- Support business decisions with ad hoc analysis as needed. Work closely with the leadership team to create dashboards (such as Power BI) to drive agile decision-making.
- To develop prototypes and proof of concepts for the selected solutions.
- Work with our customers to develop data exchange technologies
Minimum Qualifications:
- Education: B.S. (Masters’ preferred) in Computer Engineering, Applied Mathematics, Engineering, Information Technology or any other technology-related field. An equivalent of this educational requirement in working experience is also acceptable.
- Candidates must have 2 – 5 years of experience working as a PI Developer and/or PI System Manager, in a fast-paced environment and complex business setting.
- Knowledge in: Excel macros & JSON for our Refined Knowledge & CrudeFlex applications, PI AF templates, and PI Cloud Connect, PI WebAPI, C# to send data from OSIsoft PI to Microsoft SQL, APIs and web programming, Python or R languages
- The candidate must have a demonstrated experience in building and maintaining reliable and scalable ETL on big data platforms as well as experience working with varied forms of data infrastructure inclusive of relational databases such as Microsoft SQL (on-prem & Azure), Oracle, & OSIsoft PI.
- The PI Developer must further have exceptional skills in SQL server reporting services, analysis services, Salesforce, integration services, Power BI, or any other data visualization tools.
Preferred Qualifications:
- Experience in analytics in the oil & gas industry is a plus.
- Experience in the Microsoft Azure stack including data factories, data gateways, & Power BI. Experience in PI Integrator for Business Analytics is desirable. Experience in Hadoop, Spark and other analytic technologies is a plus. Digital-enabled technology experience and passion.
- Communication Skills: Excellent communication skills in both verbal and written form. The PI Developer works closely with other functional teams in the CDS organization. Communication skills are also imperative for the PI Developer in his collaborative role where he will have to interact cross-functionally with non-technical departments. To enable effective collaborations, the PI Developer will have an exceptional ability to convey complex messages in a clear, simplified, and understandable manner. The candidate will also be required to draft reports and prepare presentations for Director – Commercial Digital Solutions (CDS) and Director – CDS Operation. These reports and presentations must be clear, concise, unambiguous, engaging, and convincing, which will demand exceptional communication skills on the PI Developer’s part.
- Microsoft Office/Software: A candidate for this position must be highly proficient in the use of MS Word, MS Excel, PowerPoint, and Outlook, which will all be necessary for the creation of both visually and verbally engaging reports and presentations, for leadership.
- Interpersonal Skills: The PI Developer will be a result-driven individual, be passionate and a self-starter, be proactive requiring minimal supervision, be highly organized, have an ability to handle multiple tasks and meet tight deadlines, be a creative and strategic thinker, work comfortably in a collaborative setting, work comfortably with senior departmental leadership, and demonstrate an ability to remain calm during times of uncertainty and stress, inspiring the same in his team.
- People Skill: The candidate must be a people person who is able to form strong, meaningful, and lasting connections with others, enabling smooth and continued collaborative relationships, earning him the trust, and gaining the confidence of the Director – CDS Operation team, and other team members across the company.
The Senior Full Stack Developer is responsible for bringing the platform to the next level and ensuring the stability of the core platform. S/he will report directly to our GM and will have the opportunity to participate in the next phase of growth at Delishop, developing the platform and adapting it to meet the needs of new verticals. S/he will have flexibility and responsibilities from day one with expectations to contribute to the growth of the company by bringing new ideas and solutions to the table.
Duties:
- Coordinate project work with junior staff under the supervision of the GM.
- Act as a technical lead to the junior staff
- Lead production troubleshooting.
- Participate in the ideation of how to optimise the platform.
Requirements:
- At least 4-5 years of working experience in development.
- Very good knowledge of ReactJS including workflows (eg: redux)
- Good knowledge of the LAMP stack (Linux, Apache/Nginx, MySQL, PHP).
- Experience creating and using APIs (REST)
- Solid experience with ExpressJS/lambda and other backend technologies
- Understand of token and authentication mechanisms (eg: JWT)
- Experience with AWS, Command line tools and Auto-Scaling Environments.
- Comfortable with GIT (CLI), including branching and merging.
Desirable Qualifications:
- Eager to try out and learn about new technologies and approaches every day.
- Attention to detail, problem solving and teambuilding skills.
- Able and confident to communicate in English with colleagues and clients.
- Curious about best practices and adopting them;
- Experience with leading development teams and interacting with clients.
- Works hard, party harder.
Compensation
- USD 1000-1200 per month
- Working Hours: TBD
Requires a bachelor's degree in area of specialty and experience in the field or in a related area. Familiar with standard concepts, practices, and procedures within a particular field. Relies on experience and judgment to plan and accomplish goals. Performs a variety of tasks. A degree of creativity and latitude is required. Typically reports to a supervisor or manager.
Designs, develops, and implements web-based Java applications to support business requirements. Follows approved life cycle methodologies, creates design documents, and performs program coding and testing. Resolves technical issues through debugging, research, and investigation.
Additional Job Details:
Strong in Java, Spring, Spring Boot, REST and developing MicroServices.
Knowledge or experience , Cassandra preferred
Knowledge or experience on Kafka
Good to have but not must
Good to know:
Reporting tools like Splunk/Grafana
Protobuf
Python/Ruby







