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1. Total of 11+ years of experience in the software industry
2. 10+ years of experience in Telecom domain
3. 10+ years of hands-on experience in software products/solutions preferably with development background
4. Should have played multiple roles including software product/solutions delivery, business analysis, pre-
sales, customer-facing across multiple geographies
5. Domain experience should include the following:
a. Core networking, NFV, SDN, SNMP, switching, routing (e.g. HLR, CDRs, SMSC)
b. Telecom protocols such as SIP, VoIP
c. Experience 3G, 4G, LTE, 5G
d. E2E solution design
e. TOGAF or equivalent certified
2. Preferred technology stack/skills:
a. Java and/or C++ or Telecom COTS products (Siebel, Netcracker, Amdocs)
b. Distributed systems (web services/micro services, databases)
c. Containers and orchestration frameworks (e.g. Docker, Kubernetes)
d. Cloud concepts
e. Scalable and HA (High Availability) architecture
f. Secure engineering
2. Experience in leading responses to large RFPs, RFIs, RFQs
3. Experience working on building carrier grade products/systems
4. Travel readiness for conferences, presentations, workshops
Job Responsibilities
1. Solution design responses to RFPs
2. Provide Telecom domain expertise cover to all existing engagements and identify areas of growth by
tailoring proactive propositions
3. Research competing products/solutions and changing paradigms in the context of latest trends in domain
and technology
4. Identify and build new service offerings
5. Capability presentation to prospects
6. Front-end key customer engagements from domain perspective
7. Provide consultation to delivery teams on domain side
8. Identify, groom and build domain expertise within delivery teams & proliferate a culture of knowing the
customer, products and the domain
9. Ability to elicit functional and non-functional requirements from high level requirements.
Job Details
- Job Title: ML Engineer II - Aws, Aws Cloud
- Industry: Technology
- Domain - Information technology (IT)
- Experience Required: 6-12 years
- Employment Type: Full Time
- Job Location: Pune
- CTC Range: Best in Industry
Job Description:
Core Responsibilities:
? The MLE will design, build, test, and deploy scalable machine learning systems, optimizing model accuracy and efficiency
? Model Development: Algorithms and architectures span traditional statistical methods to deep learning along with employing LLMs in modern frameworks.
? Data Preparation: Prepare, cleanse, and transform data for model training and evaluation.
? Algorithm Implementation: Implement and optimize machine learning algorithms and statistical models.
? System Integration: Integrate models into existing systems and workflows.
? Model Deployment: Deploy models to production environments and monitor performance.
? Collaboration: Work closely with data scientists, software engineers, and other stakeholders.
? Continuous Improvement: Identify areas for improvement in model performance and systems.
Skills:
? Programming and Software Engineering: Knowledge of software engineering best practices (version control, testing, CI/CD).
? Data Engineering: Ability to handle data pipelines, data cleaning, and feature engineering. Proficiency in SQL for data manipulation + Kafka, Chaossearch logs, etc for troubleshooting; Other tech touch points are ScyllaDB (like BigTable), OpenSearch, Neo4J graph
? Model Deployment and Monitoring: MLOps Experience in deploying ML models to production environments.
? Knowledge of model monitoring and performance evaluation.
Required experience:
? Amazon SageMaker: Deep understanding of SageMaker's capabilities for building, training, and deploying ML models; understanding of the Sagemaker pipeline with ability to analyze gaps and recommend/implement improvements
? AWS Cloud Infrastructure: Familiarity with S3, EC2, Lambda and using these services in
ML workflows
? AWS data: Redshift, Glue
? Containerization and Orchestration: Understanding of Docker and Kubernetes, and their implementation within AWS (EKS, ECS)
Skills: Aws, Aws Cloud, Amazon Redshift, Eks
Must-Haves
Aws, Aws Cloud, Amazon Redshift, Eks
NP: Immediate – 30 Days
Job Title : Full Stack Drupal Developer
Experience : Minimum 5 Years
Location : Hyderabad / Bangalore / Mumbai / Pune / Chennai / Gurgaon (Hybrid or On-site)
Notice Period : Immediate to 15 Days Preferred
Job Summary :
We are seeking a skilled and experienced Full Stack Drupal Developer with a strong background in Drupal (version 8 and above) for both front-end and back-end development. The ideal candidate will have hands-on experience in AWS deployments, Drupal theming and module development, and a solid understanding of JavaScript, PHP, and core Drupal architecture. Acquia certifications and contributions to the Drupal community are highly desirable.
Mandatory Skills :
Drupal 8+, PHP, JavaScript, Custom Module & Theming Development, AWS (EC2, Lightsail, S3, CloudFront), Acquia Certified, Drupal Community Contributions.
Key Responsibilities :
- Develop and maintain full-stack Drupal applications, including both front-end (theming) and back-end (custom module) development.
- Deploy and manage Drupal applications on AWS using services like EC2, Lightsail, S3, and CloudFront.
- Work with the Drupal theming layer and module layer to build custom and reusable components.
- Write efficient and scalable PHP code integrated with JavaScript and core JS concepts.
- Collaborate with UI/UX teams to ensure high-quality user experiences.
- Optimize performance and ensure high availability of applications in cloud environments.
- Contribute to the Drupal community and utilize contributed modules effectively.
- Follow best practices for code versioning, documentation, and CI/CD deployment processes.
Required Skills & Qualifications :
- Minimum 5 Years of hands-on experience in Drupal development (Drupal 8 onwards).
- Strong experience in front-end (theming, JavaScript, HTML, CSS) and back-end (custom module development, PHP).
- Experience with Drupal deployment on AWS, including services such as EC2, Lightsail, S3, and CloudFront.
- Proficiency in JavaScript, core JS concepts, and PHP coding.
- Acquia certifications such as:
- Drupal Developer Certification
- Site Management Certification
- Acquia Certified Developer (preferred)
- Experience with contributed modules and active participation in the Drupal community is a plus.
- Familiarity with version control (Git), Agile methodologies, and modern DevOps tools.
Preferred Certifications :
- Acquia Certified Developer.
- Acquia Site Management Certification.
- Any relevant AWS certifications are a bonus.
We are looking for a skilled Java Developer with hands-on experience in Java, Spring Boot, and Microservices architecture to join our dynamic development team. The ideal candidate will be responsible for designing, developing, and maintaining high-performance, scalable applications that meet the needs of modern enterprise systems.
Key Responsibilities:
💠Design, develop, test, and deploy Java-based applications using Spring Boot and Microservices.
💠Collaborate with product managers, architects, and cross-functional teams to understand requirements and deliver solutions.
💠Build and maintain RESTful APIs for various business functionalities.
💠Participate in code reviews, debugging, and performance tuning.
💠Ensure best practices in code quality, security, and software development lifecycle (SDLC).
💠Maintain and improve existing systems and troubleshoot issues as needed.
💠Implement and manage containerized applications (e.g., using Docker, Kubernetes) where applicable.
💠Integrate third-party APIs and work with database systems (SQL and/or NoSQL).
💠Monitor and maintain application performance and scalability.
Required Skills & Qualifications:
💠Bachelors/Masters degree in Computer Science, Engineering, or related field.
💠Strong proficiency with Spring Boot and the broader Spring Framework.
💠Proven experience in building and deploying Microservices.
💠Knowledge of RESTful web services and API design.
💠Experience with databases like MySQL, PostgreSQL, or MongoDB.
💠Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI) and version control systems like Git.
💠Understanding of containerization tools (Docker, Kubernetes is a plus).
💠Strong problem-solving and communication skills.
Responsibilities
• Will design & build property and casualty Insurance product using Duck Creek tool • Document technical / solution approach
• Will perform Coding, Unit Testing and Code Review In Duck Creek platform • Coach and help team members for their delivery Technical Expertise
• Must have deep understanding of Duck Creek Claim Administration System configuration.
• Ability to understand business needs and translate them into manuscript inheritance and group structure, including design of technical components.
• Experienced in Manuscript Coding & Configuration using Author, Product Studio, Express, Server and User Admin.
• Hands on experience in Claims Desktop, Console modules, Party Module, Task Creation, Claim Configuring, Extension and Advanced Extension points, Auto Reserves,
• Integration and configuration with Claim related third party
• Experience with SQL Server, customizing and Debugging SQL store, Triggers, User defined Functions / Types, Cursors and XQueries.
• Hands on development experience in Microsoft .NET including C#, ASP.NET and SQL Server
• Must be experienced in DCT debugging Tools (TraceMonitor, ExampleUtil, TSV Monitor and Data Tester).
• Must have XML and XSLT programing experience
• Must have working experience in Duck Creek product versions 4.x , 5.x, 6.x, 7.x Or latest Professional Attributes
• Should have good communication and team building skill
• Good to have knowledge in Insurance
• Ability to work in a team environment which will include but is not limited coaching team, help to fix issues,
• Full knowledge of software development life cycle using Agile methodology
Guidewire developer-PAN India
Role : Guidewire developer
Location : Pan India
Years of experience : 3 - 15 years
Roles and Responsibilities :
- Candidate having at least 3+ years of experience as guidewire developer
- Candidate having experience in Policy center(PC) or Claim center(CC)
- Experience in configuration or integration
- Candidate having Specialist certificate of guidewire
Regards
Sundaravalli
Description
Zycus is looking for a Meanstack/Mernstack Developer, who is motivated to combine the art of design with the art of programming. Responsibilities include implementing visual elements and their behavior with user interactions.. You will also be playing an active role on front end as well as backend development, and defining how the application looks and functions. We are looking for candidates with strong experience in MongoDB, Express.js, Angular, Node.js, Javascript, HTML, CSS, Jquery, Ajax. If you are a Mean Stack or full stack developer with a strong technical experience, then you could be the best fit for the role!
Roles & Responsibilities
· Creating Apps by working on all layers of architecture Understanding the flow of code and how it interacts with different components.
· Creating technical design documents by understanding requirements, and product objectives.
· Writing effective Unit tests
· Good analytical skills and innovative mind.
· Source code management.
· Excellent communication skills.
Requirements
· Total experience of 5 - 8 years
· Experience on Mean Stack/Mernstack (MongoDB, Express.js, Angular, Node.js)
· Strong understanding of JavaScript, object-oriented JS, its quirks, and workarounds·
· Strong hands on experience in JavaScript· Strong proficiency with JavaScript or CoffeeScript depending on your technology stack.·
· Good understanding of server-side CSS preprocessors such as Stylus, Less·
· Basic understanding of web markup, including HTML5 and CSS3· Good understanding of asynchronous request handling, partial page updates, JQuery, and AJAX·
· Proficient understanding of cross-browser compatibility issues and ways to work around such issues· Familiarity with JavaScript module loaders, such as Require.js and AMD·
· Proficient understanding of code versioning tools, such as SVN· Good understanding of browser rendering behaviour and performance
· Key Programming Skills: MEAN stack, full stack, Angular, Java, HTML/CSS, Javascript, Bootstrap.
· Experience working with Rest based APIs
Five Reasons Why You Should Join Zycus
1. Cloud Product Company: We are a Cloud SaaS Company and our products are created by using the latest technologies like ML and AI. Our UI is in Angular JS and we are developing our mobile apps using React.
2. A Market Leader: Zycus is recognized by Gartner (world’s leading market research analyst) as a Leader in Procurement Software Suites.
3. Move between Roles: We believe that change leads to growth and therefore we allow our employees to shift careers and move to different roles and functions within the organization
4. Get a Global Exposure: You get to work and deal with our global customers.
5. Create an Impact: Zycus gives you the environment to create an impact on the product and transform your ideas into reality. Even our junior engineers get the opportunity to work on different product features.
Front End developers
- Angular.JS experience
- MongoDB query and aggregation experience (not a database administrator)
- GraphQL experience
- Node.JS and Typescript experience
- CSS and SCSS experience
- CI/CD experience with GitHub actions
Backend Developers:
- Software development experience, one of Python (preferred) or Node.JS/Typescript)
- Experience with Messaging architectures - RabbitMQ (preference) or Kafka
- Experience with docker-containers
- Experience with Apache NiFi (valued but not necessary)
- Experience with designing or implementing horizontally scalable solutions
- Experience working with RESTful APIs
- CI/CD experience with GitHub actions
- Experience with Azure cloud
As an Associate Manager - Senior Data scientist you will solve some of the most impactful business problems for our clients using a variety of AI and ML technologies. You will collaborate with business partners and domain experts to design and develop innovative solutions on the data to achieve
predefined outcomes.
• Engage with clients to understand current and future business goals and translate business
problems into analytical frameworks
• Develop custom models based on an in-depth understanding of underlying data, data structures,
and business problems to ensure deliverables meet client needs
• Create repeatable, interpretable and scalable models
• Effectively communicate the analytics approach and insights to a larger business audience
• Collaborate with team members, peers and leadership at Tredence and client companies
Qualification:
1. Bachelor's or Master's degree in a quantitative field (CS, machine learning, mathematics,
statistics) or equivalent experience.
2. 5+ years of experience in data science, building hands-on ML models
3. Experience leading the end-to-end design, development, and deployment of predictive
modeling solutions.
4. Excellent programming skills in Python. Strong working knowledge of Python’s numerical, data
analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, Jupyter, etc.
5. Advanced SQL skills with SQL Server and Spark experience.
6. Knowledge of predictive/prescriptive analytics including Machine Learning algorithms
(Supervised and Unsupervised) and deep learning algorithms and Artificial Neural Networks
7. Experience with Natural Language Processing (NLTK) and text analytics for information
extraction, parsing and topic modeling.
8. Excellent verbal and written communication. Strong troubleshooting and problem-solving skills.
Thrive in a fast-paced, innovative environment
9. Experience with data visualization tools — PowerBI, Tableau, R Shiny, etc. preferred
10. Experience with cloud platforms such as Azure, AWS is preferred but not required
1) Translate customer insights into concepts, personas, user journeys, storyboards, system maps, user flows, wireframes, visual design comps and prototypes with Adobe CS, Figma, and other tools
2) Create and ensure technical feasibility of UI/UX Design with active collaboration with Engineering and Product teams in iterative product development cycles
3) Manage and support the entire design process from concept preparation to final artwork as an individual contributor
4) Communicate the product's vision and articulate design decisions and trade-offs both verbally and visually
5) Incorporate industry standards, trends, user research and usability testing to iterate on product proposals
6) Define and execute product branding elements in collaboration with the design team and marketing team that include in-product deliverables as well as product-related marketing materials for Facebook, Instagram and such.
Skills Required:
1) Bachelor's Degree or equivalent in Computer Science, Design, Multimedia, Human-Computer Interaction, Graphic Design or equivalent
2) High attention to detail and demonstrated a flair for iterative design, information architecture and creative visualization.
3) Proficiency in the use of popular design software such as Adobe XD, Figma, Photoshop, Illustrator, Affinity Designer, or similar mainstream medium.
4) Ability to maximize the design potential of any medium - Instagram Posts, YouTube teasers, infographics, Word and PowerPoint templates
5) Flair for articulating ideas pictorially and verbally
Role and Responsibilities
- Execute data mining projects, training and deploying models over a typical duration of 2 -12 months.
- The ideal candidate should be able to innovate, analyze the customer requirement, develop a solution in the time box of the project plan, execute and deploy the solution.
- Integrate the data mining projects embedded data mining applications in the FogHorn platform (on Docker or Android).
Core Qualifications
Candidates must meet ALL of the following qualifications:
- Have analyzed, trained and deployed at least three data mining models in the past. If the candidate did not directly deploy their own models, they will have worked with others who have put their models into production. The models should have been validated as robust over at least an initial time period.
- Three years of industry work experience, developing data mining models which were deployed and used.
- Programming experience in Python is core using data mining related libraries like Scikit-Learn. Other relevant Python mining libraries include NumPy, SciPy and Pandas.
- Data mining algorithm experience in at least 3 algorithms across: prediction (statistical regression, neural nets, deep learning, decision trees, SVM, ensembles), clustering (k-means, DBSCAN or other) or Bayesian networks
Bonus Qualifications
Any of the following extra qualifications will make a candidate more competitive:
- Soft Skills
- Sets expectations, develops project plans and meets expectations.
- Experience adapting technical dialogue to the right level for the audience (i.e. executives) or specific jargon for a given vertical market and job function.
- Technical skills
- Commonly, candidates have a MS or Ph.D. in Computer Science, Math, Statistics or an engineering technical discipline. BS candidates with experience are considered.
- Have managed past models in production over their full life cycle until model replacement is needed. Have developed automated model refreshing on newer data. Have developed frameworks for model automation as a prototype for product.
- Training or experience in Deep Learning, such as TensorFlow, Keras, convolutional neural networks (CNN) or Long Short Term Memory (LSTM) neural network architectures. If you don’t have deep learning experience, we will train you on the job.
- Shrinking deep learning models, optimizing to speed up execution time of scoring or inference.
- OpenCV or other image processing tools or libraries
- Cloud computing: Google Cloud, Amazon AWS or Microsoft Azure. We have integration with Google Cloud and are working on other integrations.
- Decision trees like XGBoost or Random Forests is helpful.
- Complex Event Processing (CEP) or other streaming data as a data source for data mining analysis
- Time series algorithms from ARIMA to LSTM to Digital Signal Processing (DSP).
- Bayesian Networks (BN), a.k.a. Bayesian Belief Networks (BBN) or Graphical Belief Networks (GBN)
- Experience with PMML is of interest (see www.DMG.org).
- Vertical experience in Industrial Internet of Things (IoT) applications:
- Energy: Oil and Gas, Wind Turbines
- Manufacturing: Motors, chemical processes, tools, automotive
- Smart Cities: Elevators, cameras on population or cars, power grid
- Transportation: Cars, truck fleets, trains
About FogHorn Systems
FogHorn is a leading developer of “edge intelligence” software for industrial and commercial IoT application solutions. FogHorn’s Lightning software platform brings the power of advanced analytics and machine learning to the on-premise edge environment enabling a new class of applications for advanced monitoring and diagnostics, machine performance optimization, proactive maintenance and operational intelligence use cases. FogHorn’s technology is ideally suited for OEMs, systems integrators and end customers in manufacturing, power and water, oil and gas, renewable energy, mining, transportation, healthcare, retail, as well as Smart Grid, Smart City, Smart Building and connected vehicle applications.
Press: https://www.foghorn.io/press-room/">https://www.foghorn.io/press-room/
Awards: https://www.foghorn.io/awards-and-recognition/">https://www.foghorn.io/awards-and-recognition/
- 2019 Edge Computing Company of the Year – Compass Intelligence
- 2019 Internet of Things 50: 10 Coolest Industrial IoT Companies – CRN
- 2018 IoT Planforms Leadership Award & Edge Computing Excellence – IoT Evolution World Magazine
- 2018 10 Hot IoT Startups to Watch – Network World. (Gartner estimated 20 billion connected things in use worldwide by 2020)
- 2018 Winner in Artificial Intelligence and Machine Learning – Globe Awards
- 2018 Ten Edge Computing Vendors to Watch – ZDNet & 451 Research
- 2018 The 10 Most Innovative AI Solution Providers – Insights Success
- 2018 The AI 100 – CB Insights
- 2017 Cool Vendor in IoT Edge Computing – Gartner
- 2017 20 Most Promising AI Service Providers – CIO Review
Our Series A round was for $15 million. Our Series B round was for $30 million October 2017. Investors include: Saudi Aramco Energy Ventures, Intel Capital, GE, Dell, Bosch, Honeywell and The Hive.
About the Data Science Solutions team
In 2018, our Data Science Solutions team grew from 4 to 9. We are growing again from 11. We work on revenue generating projects for clients, such as predictive maintenance, time to failure, manufacturing defects. About half of our projects have been related to vision recognition or deep learning. We are not only working on consulting projects but developing vertical solution applications that run on our Lightning platform, with embedded data mining.
Our data scientists like our team because:
- We care about “best practices”
- Have a direct impact on the company’s revenue
- Give or receive mentoring as part of the collaborative process
- Questions and challenging the status quo with data is safe
- Intellectual curiosity balanced with humility
- Present papers or projects in our “Thought Leadership” meeting series, to support continuous learning




