Finance & Accounting

Key Responsibilities:

• Develop and deploy machine learning, deep learning, and NLP models for various business use cases.
• Build end-to-end ML pipelines including data preprocessing, feature engineering, training, evaluation, and production deployment.
• Optimize model performance and ensure scalability in production environments.
• Work closely with data scientists, product teams, and engineers to translate business requirements into AI solutions.
• Conduct data analysis to identify trends and insights.
• Implement MLOps practices for versioning, monitoring, and automating ML workflows.
• Research and evaluate new AI/ML techniques, tools, and frameworks.
• Document system architecture, model design, and development processes.

Required Skills:

• Strong programming skills in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Keras).
• Hands-on experience in building and deploying, finetuning ML/DL models in production.
• Good understanding of machine learning algorithms, neural networks, NLP, and computer vision.
• Experience with REST APIs, Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure).
• Working knowledge of MLOps tools such as MLflow, Airflow, DVC, or Kubeflow.
• Familiarity with data pipelines and big data technologies (Spark, Hadoop) is a plus.
• Strong analytical skills and ability to work with large datasets.
• Excellent communication and problem-solving abilities.
• Experience in deploying models using cloud services (AWS Sagemaker, GCP Vertex AI, etc.).
• Experience in LLM fine-tuning or Generative AI, Voice AI, is an added advantage.

Educational Qualification:

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Machine Learning, IT, from IIT/NIT colleges strongly preferred

Responsibilities:

• Designing and implementing fine-tuned production ready data/ML pipelines in Hadoop platform.
• Driving optimization, testing and tooling to improve quality.
• Reviewing and approving high level & amp; detailed design to ensure that the solution delivers to the business needs and aligns to the data & analytics architecture principles and roadmap.
• Understanding business requirements and solution design to develop and implement solutions that adhere to big data architectural guidelines and address business requirements.
• Following proper SDLC (Code review, sprint process).
• Identifying, designing, and implementing internal process improvements: automating manual processes, optimizing data delivery, etc.
• Building robust and scalable data infrastructure (both batch processing and real-time) to support needs from internal and external users.
• Understanding various data security standards and using secure data security tools to apply and adhere to the required data controls for user access in the Hadoop platform.
• Supporting and contributing to development guidelines and standards for data ingestion.
• Working with a data scientist and business analytics team to assist in data ingestion and data related technical issues.
• Designing and documenting the development & deployment flow.

Requirements:

• Experience in developing rest API services using one of the Scala frameworks.
• Ability to troubleshoot and optimize complex queries on the Spark platform
• Expert in building and optimizing ‘big data’ data/ML pipelines, architectures and data sets.
• Knowledge in modelling unstructured to structured data design.
• Experience in Big Data access and storage techniques.
• Experience in doing cost estimation based on the design and development.
• Excellent debugging skills for the technical stack mentioned above which even includes analyzing server logs and application logs.
• Highly organized, self-motivated, proactive, and ability to propose best design solutions.
• Good time management and multitasking skills to work to deadlines by working independently and as a part of a team.

Profile : Java Developer

Experience : 3+ Years

Location : Pune (Viman Nagar)

Mode : 5 Days WFO

(Only immediate joiners & candidates serving notice period)

Roles :

- Java Application Developer

- Microservices Architect

- API Developer

- Code Reviewer

- Technical Problem Solver

- Database Integration Specialist

- Team Collaborator

Responsibilities :

- Design, develop, and maintain Java-based applications using Spring Boot

- Build and deploy microservices architecture following best practices

- Develop RESTful APIs and web services for integration

- Write clean, efficient, and well-documented code

- Implement design patterns for scalable solutions

- Work with databases (MySQL, PostgreSQL) for data management

- Perform comprehensive code reviews and testing

- Collaborate with cross-functional teams (Frontend, QA, DevOps)

- Participate in Agile/Scrum development processes

- Translate business requirements into technical solutions

- Troubleshoot and debug complex application issues

- Follow CI/CD practices for smooth deployment

- Monitor and optimize application performance

Basic Requirement :

node.js

•Writing web services REST and GraphQL using node.js frameworks such as express and node SDKs

•Develop low-latency, high-availability, and high-performance applications using node.js framework

•Develop using microservices architecture style and asynchronous using loopback

•Implementation of security such as web service authentication and data storage (such as database, key-value stores, and object storage) in the application

•No other fuss only code

Required Technical Expertise

•Strong proficiency in node.js, and AWS Lambda.

•Experience in PostgreSQL, MongoDB, Amazon SQS, Kafka, Amazon SNS, Dynamodb, and Firebase

•Experience in using node.js frameworks (such as express, StrongLoop)

•Experience in asynchronous programming and use of libraries in node.js

•User authentication and authorization in a microservices architecture

•Integration of multiple data sources and databases into the application

•Understanding of microservices and scalable architecture

•Experience in creating database schemas (SQL & NoSQL) for the applications

Greetings !!!

Looking Urgently !!!

Exp-Min 10 Years

Location-Delhi

Sal-nego

Role

AWS Data Migration Consultant

Provide Data Migration strategy, expert review and guidance on Data Migration from onprem to AWS infrastructure that includes AWS Fargate, PostgreSQL, DynamoDB. This includes review and SME inputs on:

·       Data migration plan, architecture, policies, procedures

·       Migration testing methodologies

·       Data integrity, consistency, resiliency.

·       Performance and Scalability

·       Capacity planning

·       Security, access control, encryption

·       DB replication and clustering techniques

·       Migration risk mitigation approaches

·       Verification and integrity testing, reporting (Record and field level verifications)

·       Schema consistency and mapping

·       Logging, error recovery

·       Dev-test, staging and production artifact promotions and deployment pipelines

·       Change management

·       Backup, DR approaches and best practices.

Qualifications

• Worked on mid to large scale data migration projects, specifically from on-prem to AWS, preferably in BFSI domain
• Deep expertise in AWS Redshift, PostgreSQL, DynamoDB from data management, performance, scalability and consistency standpoint
• Strong knowledge of AWS Cloud architecture and components, solutions, well architected frameworks
• Expertise in SQL and DB performance related aspects
• Solution Architecture work for enterprise grade BFSI applications
• Successful track record of defining and implementing data migration strategies
• Excellent communication and problem solving skills
• 10+ Yrs experience in Technology, at least 4+yrs in AWS and DBA/DB Management/Migration related work
• Bachelors degree or higher in Engineering or related field

• Developing and maintaining server-side network components.
• Collaborating with front-end developers on the integration of elements.
• Designing customer-facing UI and back-end services for various business processes.
• Developing high-performance applications by writing testable, reusable, and efficient code.
• Implementing effective security protocols, data protection measures, and storage solutions.
• Running diagnostic tests, repairing defects, and providing technical support.
• Documenting Node.js processes, including database schemas, as well as preparing reports.
• Recommending and implementing improvements to processes and technologies.
• Keeping informed of advancements in the field of Node.js development.

• At least two years of experience as a Node.js developer.
• Extensive knowledge of JavaScript, web stacks, libraries, and frameworks.
• Knowledge of front-end technologies such as HTML5 and CSS3.
• Superb interpersonal, communication, and collaboration skills.
• Exceptional analytical and problem-solving aptitude.
• Great organizational and time management skills.
• Availability to resolve urgent web application issues outside of business hours.

• Experienced in creating microcopy that will drive visitors towards taking the right actions across our website
• Experienced in writing technical documents like product sheets, product manuals, technical guides, tutorials, etc
• Experienced in proofreading and editing content copies
• Experienced in creating content as per our Ideal Customer Profile
• Work with the marketing team for generating fresh content ideas
• Should have basic knowledge of search engine optimization
• Experienced in creating concise, eye-catching, and innovative headlines and a body of technical documents.
• Experience- 5-10years
• Salary -5-15lpa

- Hands-on experience in developing User Interfaces (more than 4 years) using Angular 4+.

- Hands-on experience of using reactive frameworks like Redux, NgRX.

- Strong understanding of using UI testing frameworks like Jasmine, Mocha.

- Focus on building reusable components by employing Design patterns.

- Ability to remote diagnose user issues (With or without tools).

- Strong understanding of Object-oriented concepts.

- Ability to suggest alternative solutions for micro-level problems considering the environment constraints.

- Ability to diagnose development issues independently.

- Self-motivated learner.

We are looking for an experienced Inside Sales professional to join our inside sales team. This is an opportunity for you to be a key part of building a successful business:

1. Manage End-to-End Sales process (Inbound Leads to Closure)
2. Deliver quality and tailored demonstrations to prospects based on the use cases
3. Understand customer goals, plans, challenges, timeline, budget, authority
4. Meet or exceed your defined sales activity and revenue quota
5. Collaborate with cross-functional teams for timely resolution of prospect's queries
6. Strive to continuously improve your sales process and demonstrate a willingness to learn and implement best practices