Sales Executive

Data Science Analyst – Remote 

Springer Capital is a real estate investment firm based in Chicago, Shanghai, and Hong Kong. Springer engages in Capital Advisory for APAC Private Equity and Asset Management making financial investments in real estate and other sectors in US markets. 

Springer seeks an Data Science Analyst to join the Technology side of the company. The internship can be onsite in Shanghai or conducted remotely. The start date of the internship is flexible.  

Job Highlights 

As an intern for the data analysis team, you will be focusing on researching and developing tools and workflow that automate some parts of our business automation.  As business automation is important throughout the firm, you will have the opportunity to collaborate with teams across Springer. 

What you will do as an intern: 

Collect data from various sources, including databases, APIs, and web scraping tools. 

Clean and process raw data to ensure it is accurate and consistent. 

Analyze data to extract insights using computational tools, such as Excel, SQL, and Python. 

Communicate insights in a clear and concise manner with the manager along your progress.  

Implement solutions based on insights you discovered to improve business processes or solve problems. 

Our commitment to your development: 

Overarching and detailed training materials before interns hit the desk 

Interns will have group calls with the director and supervisors regularly for up-to-date and constructive feedback 

Greater leadership and responsibilities will be given to interns based on work quality 

Who we are looking for: 

Strong experience using Excel.  

Passionate about analyzing data.  

Experience (preferred) with data analysis.  

Research and problem-solving abilities 

About Springer:   

Springer Capital focuses on raising capital and solving capital issues in the real estate private equity market. We have experience raising capital for clients across the entire capital spectrum. Client relationships are a top priority for Springer. We establish long-term relationships with investors and lenders as well as have active dialogues with private equities, family offices, pension funds, infrastructure funds, and independent sponsors across Asia. With Springer’s expertise in the housing market, we ensure all parties are aligned in land acquisitions, development, improvements, sales, and lease-up. 

Technical and legal Information 

The internship enrollment period is flexible. The expected hours are 20 per week for ~3 months. Upon completion, you will receive an internship confirmation letter, or you can apply to your school for internship credit.  

Job Title: Sr. Purchase Engineer (From Pharmaceutical Industry)

Location: Ghatkopar

Department: Purchase

Experience: 1-7 yrs

Qualifications:

 Diploma / Bachelor's Degree in Mechanical, Electrical, or related field

Skills:

 Experience in pharmaceutical, automation, or equipment manufacturing industries.

 Familiarity with import/export documentation and procurement policies.

 Strategic thinker with a proactive and results-oriented mind-set.

 Excellent communication and interpersonal skills.

 Computer knowledge like Excel, Word, Power point.

 Detail-oriented with strong organizational and multitasking abilities.

Key Responsibilities:

 Handle purchase requisitions and procurement of raw materials, components, and services as per company requirements.

 Work with an ERP system to manage purchase orders, track inventory, and generate reports.

 Conduct market research and vendor analysis to identify cost-effective and reliable suppliers.

 Oversee the sourcing of materials, goods, and services to meet company requirements.

 Monitor market trends and conduct cost analysis to identify cossaving opportunities.

 Establish and maintain strong relationships with key suppliers and vendors.

 Ensure compliance with relevant laws, regulations, and ethical standards in procurement activities.

 Implement and optimize procurement processes for maximum efficiency.

 Prepare and maintain purchase records, price lists, and vendor agreements.

 Analyze and report on procurement metrics, performance, and budget adherence.

 Implement risk management strategies to address potential disruptions in the supply chain.

 Continuously evaluate and improve vendor performance and product quality.

 Participate in budget planning and contribute to cost management initiatives.

 Stay informed about industry trends, emerging technologies, and best practices.

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. 

Your Impact:

•                 Interact clearly with clients and the on-shore and off-shore project teams

•                 Regular involvement in thought leadership Best Practices development

•                 Facilitate end to end project design & development while working closely with global client

Your Skills & Experience:

•                 4 to 14 years of development experience in SFDC

•                 Excellent hands-on experience in Salesforce application development including VF, Apex Triggers, Asynchronous Apex

•                 Deep knowledge of Lightning framework

•                 Expertise in Business Requirement gathering, Analysis & conceptualizing high-level architectural framework & design

•                 Experience working with Sales or Service cloud, Community Cloud, Marketing Cloud

•                 Conceptualize end to end integration projects & knowledge of authentication mechanism

•                 Experience in REST & SOAP APIs, knowledge of Governor limits involved during Integration

•                 Working knowledge on continuous integration, working with repositories (e.g. Git)

•                 Should have experience to design the data flow and work with any ETL or dataloader

•                 Excellent experience in designing and architecting large scale applications

•                 Thorough understanding of Solution architecting & Estimation process

•                 Excellent consulting skills, oral and written communication, presentation, and analytical skills 

Set Yourself Apart With:

•                 Salesforce Certifications

•                 Knowledge of Heroku, Angular.js and Salesforce Einstein, Salesforce CPQ, CloudCraze B2B

•                 Incident and problem management skills

•                 Ability to provide necessary coaching to bring juniors up to speed on the technology

•                 Exceptional written skill for solution documentation creation for both technical and non-technical material

•                 Background in force.com platform and deployment experience in an outsourced service environment

•                 Articulation skills & Good team player

•                 Self-starter and self-learner with keen interest to grow

•                 Process orientation and the ability to define and setup processes

•                 Mentoring team members

Benefits of Working:

•                 Gender Neutral Policy

•                 18 paid holidays throughout the year for NCR/BLR (22 For Mumbai)

•                 Generous parental leave and new parent transition program

•                 Flexible work arrangements

•                 Employee Assistance Programs to help you in wellness and well being  

SEO & Outreach Specialist

EXPERIENCE : 3 - 5 Years

As we scale our inbound engine, we’re looking for an SEO & Outreach Specialist who can turn great content into discoverable, high-performing assets that drive measurable impact across organic channels.

Role Summary:

We are looking for a technical + content-savvy SEO expert to lead our organic growth initiatives. This role is critical for driving qualified traffic to our website through on-page optimization, outreach, and distribution.

Roles & Responsibilities:

●      Optimize blog content for targeted keywords, internal linking, and schema.

●      Manage Quora, Reddit, and Web 2.0 content distribution to drive referral traffic.

●      Build backlinks through ethical outreach, guest posting, and partnerships.

●      Conduct keyword research to support content planning and campaign SEO.

●      Track and report on rankings, backlinks, domain authority, and traffic impact.

●      Collaborate with content and design teams to implement best SEO practices.

Must have skills:

●      3-5 years of experience in SEO for B2B websites.

●      Must have: Pragmatic SEO & programmatic SEO experience.

●      Hands-on experience with Ahrefs, SEMrush, Google Search Console, etc.

●      Familiarity with link-building strategies, outreach, and community engagement.

●      Good writing/editing sense to tweak content for optimization.

●      Self-starter with a proactive mindset and the ability to work in a fast-paced, high-growth environment.

Good to have skills:

●      Experience in IT services or SaaS domain.

●      Experience with Quora/Reddit or guest post partnerships.

We're looking for highly skilled experienced engineers to design and build high-scale, cloud-based data processing systems that can handle massive amounts of data with low latency. You'll work with a team of smart, motivated, and diverse people and be given the autonomy and support to do your best work. This is a rare opportunity to make a meaningful impact in society while working in a dynamic and flexible workplace where you'll belong and be encouraged.

Qualifications:

• Bachelor's Degree required
• Significant experience with distributed systems.
• Experience with modern programming languages such as Java, C#, C/C++, or Ruby.
• Experience with container platforms such as DC/OS, Kubernetes
• Fluency in technologies and design concepts around Big Data processing and relational databases, such as the Hadoop ecosystem, Map/Reduce, stream processing, etc.
• Experience with production operations and good practices for putting quality code into production and troubleshooting issues when they arise.
• Effective communication of technical ideas verbally and in writing, including technical proposals, design specs, architecture diagrams, and presentations.
• Ability to collaborate effectively with the team and other stakeholders.
• Preferably, production experience with Cloud and data processing technologies.

Responsibilities:

As a member of the software engineering division, you will take an active role in the definition and evolution of standard practices and procedures. Define specifications for significant new projects and specify, design and develop software according to those specifications. You will perform professional software development tasks associated with the developing, designing and debugging of software applications or operating systems.

• Design and build distributed, scalable, and fault-tolerant software systems.
• Build cloud services on top of the modern OCI infrastructure.
• Participate in the entire software lifecycle, from design to development, to quality assurance, and to production.
• Invest in the best engineering and operational practices upfront to ensure our software quality bar is high.
• Optimize data processing pipelines for orders of magnitude higher throughput and faster latencies.
• Leverage a plethora of internal tooling at OCI to develop, build, deploy, and troubleshoot software.

Requirements:

• Engineers with 1-6 years of experience in shipping consumer-facing Android apps with the large user base, ideally currently available on the Google Play Store

• Top-notch programming skills in Java, Kotlin and Android along with MVVM, Dagger2, Room, LiveData, Coroutine & JetPack-Components

• Command of memory management, view hierarchy, battery optimisation and in-depth experience with multi threaded and networked applications

• Worked with Restful APIs, third-party SDK Integrations and common technologies like HTTPS, JSON, OAuth, and SQL

• Thorough working knowledge of Android Studio with the Gradle build system
• Understanding the quirks of the fragmented ecosystem of Android OS versions and devices
• Focus on Material Design principles and pixel-perfect implementation of the design into code
• Solid experience with Git Care for quality with an obsession for performance and willingness to spend time testing the team's work as well as yours

We are looking for Dynamic Business Development Managers, who will be able to run the sales cycle from end-to-end. The job involves taking the qualified opportunities provided by the inside sales team, to closure, by creating strong rapport with decision makers and articulating the key differentiators of our solutions. We need go-getters with an entrepreneurial spirit and an outbound "hunter" mentality. You must be a naturally curious about Technology, self-motivated and committed to achieving targets, by creating new business opportunities across our entire technology portfolio.

ESSENTIAL FUNCTIONS:

• Quickly understand the various technology portfolios that Korcomptenz offers, uncover customer needs, articulate our key differentiators to secure the sale
• Strong team player who collaborates with other departments throughout the sales process and inspires confidence in prospects
• Powerful communicator and presenter – comfortable in using these skills to develop relationships with high-level executives
• Proven ability to aggressively uncover opportunities and convert them into new business
• Accurately record, track sales activity and report in CRM system

SELECTION CRITERIA :

Must possess excellent communication (written and spoken) skills

Successful track record selling Software Products and Services into the UAE Market as an individual contributor

Must have sold complex Enterprise IT solutions in ERP/CRM/Cloud/SaaS/Infrastructure/Data Analytics

Must have sold end-to-end deals in the UAE market

Graduates/Engineers/MBAs with at least 7+ years of relevant work experience

OTHER REQUIREMENTS:

Ability to survive and thrive in a competitive sales environment.

Results-focused and resilient professional who takes proactive action to meet sales goals

Passionate about enabling customer success with selling the best-fit technology solutions

Positive attitude and willing to go the extra mile

Position Title: Embedded Software Developer (Linux Driver Development)

Experience: 4 - 10 Years

Mode of Hire: Permanent, Deployed at Client Location.

Work Location: Hyderabad

Notice Period: Max. 20 - 30 Days (Early Joiners will be preferable).

What we are looking for?

Must Have:

• Should have strong proficiency in C, C++ and Embedded Systems (embedded C)
• Should have 4+ years of experience in Linux Driver Development, Application development
• Excellent debugging skills at kernel and user space and exposure to different debugging tools
• High level understanding of ARM & RISC (Instructions) OR MB Processor and Assembly Programming

Good to Have:

• Any Driver development exposure in Multimedia, Exposure to any one of the Linux Kernel Framework (Display, Camera Drivers, HDMI, GPU, MIPI, DRM framework, V4L2, etc.)