
Job Description for :
Role: Data/Integration Architect
Experience – 8-10 Years
Notice Period: Under 30 days
Key Responsibilities: Designing, Developing frameworks for batch and real time jobs on Talend. Leading migration of these jobs from Mulesoft to Talend, maintaining best practices for the team, conducting code reviews and demos.
Core Skillsets:
Talend Data Fabric - Application, API Integration, Data Integration. Knowledge on Talend Management Cloud, deployment and scheduling of jobs using TMC or Autosys.
Programming Languages - Python/Java
Databases: SQL Server, Other Databases, Hadoop
Should have worked on Agile
Sound communication skills
Should be open to learning new technologies based on business needs on the job
Additional Skills:
Awareness of other data/integration platforms like Mulesoft, Camel
Awareness Hadoop, Snowflake, S3

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We are looking to recruit an expert for backend software development at Webnyay. We are an enterprise SaaS startup catering to India and international markets. We are now growing fast and need a rockstar senior software developer who is an expert in Python/Django and GCP.
What we are looking for:
- At least 6 years of professional software development experience.
- At least 4 years of experience with Python & Django.
- Proficiency in Natural Language Processing (tokenization, stopword removal, lemmatization, embeddings, etc.)
- Experience in computer vision fundamentals, particularly object detection concepts and architectures (e.g., YOLO, Faster R-CNN)
- Experience in search and retrieval systems and related concepts like ranking models, vector search, or semantic search techniques
- Experience with multiple databases (relational and non-relational).
- Experience with hosting on GCP and other cloud services.
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- Focus on code quality and writing scalable code.
- Ability to learn and adopt new technologies depending on business requirements.
- Prior startup experience will be a plus!
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- Work closely in a highly AGILE environment with a team of engineers.
- Create and maintain technical documentation of technical design and solution.
- Build products/features that are highly scalable, secure, highly available, high performing and cost-effective.
- Help team in debugging.
- Perform code reviews.
- Understand the full feature set/ implementation and architecture of the applications.
- Analyze business goals and product requirements and contribute to application architecture design, development and delivery.
- Provide technical expertise for every phase of the project lifecycle; from concept development to solution design, implementation, optimization and support.
- Act as an Interface with business teams to understand and create technical specifications for workable solutions within the project.
- Explore and work with LLM APIs and Generative AI.
- Make performance-related recommendations, identify and eliminate performance bottlenecks (hardware, software, configuration); drive performance tuning, re-design and re-factoring.
- Participate in the software development lifecycle, which includes research, new development, modification, security, reuse, re-engineering and maintenance of common component libraries.
- Participate in product definition and feature prioritization.
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Skills - MLOps Pipeline Development | CI/CD (Jenkins) | Automation Scripting | Model Deployment & Monitoring | ML Lifecycle Management | Version Control & Governance | Docker & Kubernetes | Performance Optimization | Troubleshooting | Security & Compliance
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1. Design, develop, and implement MLOps pipelines for the continuous deployment and
integration of machine learning models
2. Collaborate with data scientists and engineers to understand model requirements and
optimize deployment processes
3. Automate the training, testing and deployment processes for machine learning models
4. Continuously monitor and maintain models in production, ensuring optimal
performance, accuracy and reliability
5. Implement best practices for version control, model reproducibility and governance
6. Optimize machine learning pipelines for scalability, efficiency and cost-effectiveness
7. Troubleshoot and resolve issues related to model deployment and performance
8. Ensure compliance with security and data privacy standards in all MLOps activities
9. Keep up to date with the latest MLOps tools, technologies and trends
10. Provide support and guidance to other team members on MLOps practices
Required skills and experience:
• 3-10 years of experience in MLOps, DevOps or a related field
• Bachelor’s degree in computer science, Data Science or a related field
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We are looking for a passionate sales executive to join our sales team. The sales executive's responsibilities include generating leads, making sales calls, continuously updating our CRM database, and meeting sales targets.
Responsibilities:
· Researching prospects and generating leads.
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· Managing the sales process through specific software programs.
· Building and maintaining a customer database.
· Meeting daily, weekly, and monthly sales targets.
· Participating in sales team meetings.
· Set up meetings with potential clients and listen to their wishes and concerns
· Prepare and deliver appropriate presentations on products and services
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· Ensure the availability of stock for sales and demonstrations
Skills Required:
· Presentation Skills
· Client Relationships
· Emphasizing Excellence
· Negotiation Skills
· Prospecting Skills
· Meeting Sales Goals
· Creativity
· Sales Planning
· Independence
· Motivation for Sales
Experience:Minimum 2 years in any sector, Preferably FMCG Sector
Education:Bachelors in Business Management or related field.
Job Type:Full-time
Schedule:
· Morning shift
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Ability to commute/relocate:
Vishakhapatnam, Vishakhapatnam - 530007, Andhra Pradesh: Reliably commute or planning to relocate before starting work (Required)
Education:
· Bachelor's (Preferred)
Experience:
· Sales: 2 years (Preferred)
Lead generation:2 years (Preferred)
Total work: 2 years (Preferred)
Language:
English (Preferred)
Job Type: Full-time
Schedule:
- Day shift
- Morning shift
Ability to commute/relocate:
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Experience:
- total work: 2 years (Preferred)
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Founded by well experienced healthcare professionals and engineers this one of a kind startup is disrupting the healthcare space by offering hassle free personalised digital therapeutic solutions.
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- Updating the CRM/ Dashboard with the relevant information obtained from the call
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What you need to have:- BSc or M.Sc in Nutrition and Dietetics
- Telesales experience of 18 months or more (at one organisation)
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- Multiple Languages will be an add on benefit
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Managing all direct & indirect tax processes & compliance, books of accounts, scrutiny of books of accounts and Finalization of Book of Accounts.
Preparing MIS Reports, Stock Statement, Cash flow and various other
Provide assistance to external auditors in statutory audits.
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Plans, develop best available strategies and implement
o Convert machine learning models into APIs for applications accessibility
o Running machine learning tests and experiments
o Implementing appropriate ML algorithms
o Creating machine learning models and retraining systems
o Study and transform data science prototypes
o Design machine learning systems
o Research and implement appropriate ML algorithms and tools
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o Use AI to empower the company with novel capabilities
o Designing and developing machine learning and deep learning system
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• Alexa
o Excellent in Python programming
o Experience with AWS Lamda
o Experience with Alexa skills
o Alexa skill directives
o Excellent in NodeJS programming
o Experience with GCP - Dialog Flow and Actions on Google
o Using built-in intents and developing custom intents
o API integration and Postman knowledge
- Should have experience in supporting the application and infrastructure 24x7.
- Should have good working knowledge on troubleshooting skills of Operating Systems (Linux/Windows)
- Good experience on Java/j2EE application supporting and AWS infra supporting.
- Ability to work with 3rd parties/FOPS and provide required instruction to troubleshoot and restore faults.
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- Strong knowledge of Linux/Unix operating system.
- Good knowledge in scripting languages like Shell, Python.
- Good Knowledge on Databases like Mongo, Mysql, SQL Server.
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-Backend framework integration with Python






