ERP Functional Consultant

Review Criteria:

• Strong MLOps profile
• 8+ years of DevOps experience and 4+ years in MLOps / ML pipeline automation and production deployments
• 4+ years hands-on experience in Apache Airflow / MWAA managing workflow orchestration in production
• 4+ years hands-on experience in Apache Spark (EMR / Glue / managed or self-hosted) for distributed computation
• Must have strong hands-on experience across key AWS services including EKS/ECS/Fargate, Lambda, Kinesis, Athena/Redshift, S3, and CloudWatch
• Must have hands-on Python for pipeline & automation development
• 4+ years of experience in AWS cloud, with recent companies
• (Company) - Product companies preferred; Exception for service company candidates with strong MLOps + AWS depth

Preferred:

• Hands-on in Docker deployments for ML workflows on EKS / ECS
• Experience with ML observability (data drift / model drift / performance monitoring / alerting) using CloudWatch / Grafana / Prometheus / OpenSearch.
• Experience with CI / CD / CT using GitHub Actions / Jenkins.
• Experience with JupyterHub/Notebooks, Linux, scripting, and metadata tracking for ML lifecycle.
• Understanding of ML frameworks (TensorFlow / PyTorch) for deployment scenarios.

Job Specific Criteria:

• CV Attachment is mandatory
• Please provide CTC Breakup (Fixed + Variable)?
• Are you okay for F2F round?
• Have candidate filled the google form?

Role & Responsibilities:

We are looking for a Senior MLOps Engineer with 8+ years of experience building and managing production-grade ML platforms and pipelines. The ideal candidate will have strong expertise across AWS, Airflow/MWAA, Apache Spark, Kubernetes (EKS), and automation of ML lifecycle workflows. You will work closely with data science, data engineering, and platform teams to operationalize and scale ML models in production.

Key Responsibilities:

• Design and manage cloud-native ML platforms supporting training, inference, and model lifecycle automation.
• Build ML/ETL pipelines using Apache Airflow / AWS MWAA and distributed data workflows using Apache Spark (EMR/Glue).
• Containerize and deploy ML workloads using Docker, EKS, ECS/Fargate, and Lambda.
• Develop CI/CT/CD pipelines integrating model validation, automated training, testing, and deployment.
• Implement ML observability: model drift, data drift, performance monitoring, and alerting using CloudWatch, Grafana, Prometheus.
• Ensure data governance, versioning, metadata tracking, reproducibility, and secure data pipelines.
• Collaborate with data scientists to productionize notebooks, experiments, and model deployments.

Ideal Candidate:

• 8+ years in MLOps/DevOps with strong ML pipeline experience.
• Strong hands-on experience with AWS:
• Compute/Orchestration: EKS, ECS, EC2, Lambda
• Data: EMR, Glue, S3, Redshift, RDS, Athena, Kinesis
• Workflow: MWAA/Airflow, Step Functions
• Monitoring: CloudWatch, OpenSearch, Grafana
• Strong Python skills and familiarity with ML frameworks (TensorFlow/PyTorch/Scikit-learn).
• Expertise with Docker, Kubernetes, Git, CI/CD tools (GitHub Actions/Jenkins).
• Strong Linux, scripting, and troubleshooting skills.
• Experience enabling reproducible ML environments using Jupyter Hub and containerized development workflows.

Education:

• Master’s degree in computer science, Machine Learning, Data Engineering, or related field. 

Job Summary:

We are seeking a detail-oriented and skilled Selenium Automation Engineer to join our QA team. The ideal candidate will be responsible for designing, developing, and maintaining automated test scripts using Selenium to ensure the quality and performance of our web applications.

Key Responsibilities:

• Design and implement robust automated test scripts using Selenium WebDriver(Java or Python).
• Collaborate with development and QA teams to identify test scenarios and automate them.
• Maintain and enhance existing automation frameworks.
• Conduct regular regression testing and report bugs and issues effectively.
• Integrate automated tests with CI/CD pipelines (e.g., Jenkins, GitLab CI).
• Prepare detailed test reports and documentation.

Company: CorpCare

Title: Head of Engineering/ Head of Product

Location: Mumbai (work from office)

CTC: Annual CTC Up to 25 Lacs

About Us:  

CorpCare is India’s first all-in-one corporate funds and assets management platform. We offer a single-window solution for corporates, family offices, and HNIs. We assist corporates in formulating and managing treasury management policies and conducting reviews with investment committees and the board.

Job Summary:  

The Head of Engineering will be responsible for overseeing the development, implementation, and management of our corporate funds and assets management platform. This role demands a deep understanding of the broking industry/Financial services industry, software engineering, and product management. The ideal candidate will have a robust background in engineering leadership, a proven track record of delivering scalable technology solutions, and strong product knowledge.

Key Responsibilities:

- Develop and communicate a clear engineering vision and strategy aligned with our broking and funds management platform.

- Conduct market research and technical analysis to identify trends, opportunities, and customer needs within the broking industry.

- Define and prioritize the engineering roadmap, ensuring alignment with business goals and customer requirements.

- Lead cross-functional engineering teams (software development, QA, DevOps, etc.) to deliver high-quality products on time and within budget.

- Oversee the entire software development lifecycle, from planning and architecture to development and deployment, ensuring robust and scalable solutions.

- Write detailed technical specifications and guide the engineering teams to ensure clarity and successful execution.

- Leverage your understanding of the broking industry to guide product development and engineering efforts.

- Collaborate with product managers to incorporate industry-specific requirements and ensure the platform meets the needs of brokers, traders, and financial institutions.

- Stay updated with regulatory changes, market trends, and technological advancements within the broking sector.

- Mentor and lead a high-performing engineering team, fostering a culture of innovation, collaboration, and continuous improvement.

- Recruit, train, and retain top engineering talent to build a world-class development team.

- Conduct regular performance reviews and provide constructive feedback to team members.

- Define and track key performance indicators (KPIs) for engineering projects to ensure successful delivery and performance.

- Analyze system performance, user data, and platform metrics to identify areas for improvement and optimization.

- Prepare and present engineering performance reports to senior management and stakeholders.

- Work closely with product managers, sales, marketing, and customer support teams to align engineering efforts with overall business objectives.

- Provide technical guidance and support to sales teams to help them understand the platform's capabilities and competitive advantages.

- Engage with customers, partners, and stakeholders to gather feedback, understand their needs, and validate engineering solutions.

Requirements:

• BE /B. Tech - Computer Science
• MBA a plus, not required
• 5+ years of experience in software engineering, with at least 2+ years in a leadership role.
• Strong understanding of the broking industry and financial services industry.
• Proven track record of successfully managing and delivering complex software products.
• Excellent communication, presentation, and interpersonal skills.
• Strong analytical and problem-solving abilities.
• Experience with Agile/Scrum methodologies.
• Deep understanding of software architecture, cloud computing, and modern development practices.

Technical Expertise:

• Front-End: React, Next.js, JavaScript, HTML5, CSS3
• Back-End: Node.js, Express.js, RESTful APIs
• Database: MySQL, PostgreSQL, MongoDB
• DevOps: Docker, Kubernetes, AWS (EC2, S3, RDS), CI/CD pipelines
• Version Control: Git, GitHub/GitLab
• Other: TypeScript, Webpack, Babel, ESLint, Redux

Preferred Qualifications:

• Experience in the broking or financial services industry.
• Familiarity with data analytics tools and methodologies.
• Knowledge of user experience (UX) design principles.
• Experience with trading platforms or financial technology products.

This role is ideal for someone who combines strong technical expertise with a deep understanding of the broking industry and a passion for delivering high-impact software solutions.

The Role:

A seasoned, experienced Enterprise SaaS sales & business development leader to join the growing company's leadership team. In this role, you are responsible for developing and executing sales and go-to-market strategies that help achieve new client sales & revenue goals for the company. The VP of Business Development & Sales will also work closely with other stakeholders to drive strategic direction and resource allocation for the company.

Key Responsibilities -

- Strategic Thinker & Leadership: Leading from the front on all important Client facing discussions, while providing direction to the team on the positioning, go-to-market strategy and priority amongst the prospect segments.

- Full Sales Cycle Ownership: Tactfully and strategically enable the team to follow up with the prospects regularly, host the commercial negotiations and drive the needed urgency towards deal closures.

- Partnerships & Influencer Management: Actively discover, acquire and engage with strategic partners/industry influencers, consultants and resellers to drive an efficient channel of demand creation and client acquisition across multiple geographies

- Data & Process Driven-You obsess with data, analytics and processes to ensure repeatability and consistency around meeting & exceeding the Quarterly goals and also enabling data-led experimentation in short delivery cycles.

- Team Management - Manage a team of Sales representatives responsible for selling Enterprise Software and New Customer Acquisition

Skills Required:

- Strong understanding of company positioning, pricing, and business development strategies for complex Enterprise SaaS Companies

- Extensive experience negotiating terms and closing contracts for business

- Strategic thinker with strong storytelling skills and written communication

- Strong cross-functional partner, particularly with Product, Marketing and Client Management teams.

- Experience of selling to the US from India

• Develop new mobile applications for enterprise as well as for end consumers
• Translate User Stories into UI Design and Wireframe for Mobile Apps (Android and IOS)
• Translate UI/UX designs into high-quality code
• Architect and develop mobile applications from the scratch
• Design, build and maintain high performance, reusable, and reliable codebase
• Work with the Tech Lead and engineers to develop innovative solutions that meet market needs

Requirements:

• 2-5 years of experience in building Android apps and has published one or more Android apps in the Google Play Store Fluent in Flutter, Kotlin, and Android Studio
• Competent in producing scalable and high-quality code through automated functional and unit tests for Android applications
• Deep understanding of standard Android design patterns and RESTful API design
• Deep understanding of Google's design principles and interface guidelines
• Knowledge of Continuous Integration and Delivery systems (i.e. Jenkins) and setups Experience in Git
• Familiar with Agile practices such as Extreme Programming, Scrum, or Kanban
• Experience in Developing Offline First Mobile App

Responsibilities Description:

Responsible for the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Primary duties may include are but not limited to: Design machine learning projects to address specific business problems determined by consultation with business partners. Work with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users.

Experience Requirements:

BS/MA/MS/PhD in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or related Quantitative disciplines. 2-4 years of experience in predictive analytics and advanced expertise with software such as Python, or any combination of education and experience which would provide an equivalent background. Experience in the healthcare sector. Experience in Deep Learning strongly preferred.

Required Technical Skill Set:

• Full cycle of building machine learning solutions,

o   Understanding of wide range of algorithms and their corresponding problems to solve

o   Data preparation and analysis

o   Model training and validation

o   Model application to the problem

• Experience using the full open source programming tools and utilities
• Experience in working in end-to-end data science project implementation.
• 2+ years of experience with development and deployment of Machine Learning applications
• 2+ years of experience with NLP approaches in a production setting
• Experience in building models using bagging and boosting algorithms
• Exposure/experience in building Deep Learning models for NLP/Computer Vision use cases preferred
• Ability to write efficient code with good understanding of core Data Structures/algorithms is critical
• Strong python skills following software engineering best practices
• Experience in using code versioning tools like GIT, bit bucket
• Experience in working in Agile projects
• Comfort & familiarity with SQL and Hadoop ecosystem of tools including spark
• Experience managing big data with efficient query program good to have
• Good to have experience in training ML models in tools like Sage Maker, Kubeflow etc.
• Good to have experience in frameworks to depict interpretability of models using libraries like Lime, Shap etc.
• Experience with Health care sector is preferred
• MS/M.Tech or PhD is a plus

We are searching for a committed, deadline-driven sales intern to join our excellent sales team. The sales intern will complete all tasks assigned by the manager, which may include conducting market research, identifying business opportunities, managing email campaigns, generating sales leads, making cold calls, participating in meetings, and assisting the Sales department wherever possible. You should be able to take instruction, but also work unsupervised when required.

To be successful as a sales intern, you should be willing to learn as much about the company as possible and be able to spot opportunities that have been overlooked by others. Outstanding sales interns are problem solvers who know the value of building lasting, professional relationships with clients.

Sales Intern Responsibilities:

• Working closely with the manager or assigned staff member, and completing all allocated tasks.
• Conducting desktop research, or gathering information through surveys or speaking to clients and staff.
• Attending and participating in meetings, workshops, events, and exhibitions.
• Liaising with clients, vendors, and suppliers on behalf of the company's managers.
• Updating documents and sales records.
• Reviewing sales performance against sales targets.
• Observing and carrying out sales processes.
• Identifying potential weaknesses and offering improvement suggestions.
• Assisting managers with negotiations.
• Keeping a log of everything learned and delivering presentations to staff and other stakeholders.

Sales Intern Requirements:

• High school diploma or similar.
• A degree in marketing, business or similar may be required.
• Basic understanding of different Sales & marketing techniques
• Excellent verbal and written communication skills
• Ability to work alone or as part of a team.
• Ability to cope with rejection.
• Superb interpersonal skills.