District Sales Manager

Springer Capital is a cross-border asset management firm specializing in real estate investment banking between China and the USA. We are offering a remote internship for students or recent graduates interested in UI/UX design, instructional design, and user-centered graphic communication. The internship offers flexible start and end dates. A short design task may be required as part of the selection process.

Responsibilities:

• Assist in designing user-friendly interfaces for presentations, training modules, and digital platforms.
• Create instructional graphics and layouts that enhance learning and user experience.
• Contribute to UI/UX projects by preparing wireframes, prototypes, and design mockups.
• Collaborate with developers and content creators to ensure consistent branding and usability.
• Conduct research on UI/UX best practices and apply findings to improve design solutions.
• Support the design of visual assets for both instructional and marketing purposes.

Please send your resume to talent@springercapital

Title: Data Engineer II (Remote – India/Portugal)

Exp: 4- 8 Years

CTC: up to 30 LPA

Required Skills & Experience:

• 4+ years in data engineering or backend software development
• AI / ML is important
• Expert in SQL and data modeling
• Strong Python, Java, or Scala coding skills
• Experience with Snowflake, Databricks, AWS (S3, Lambda)
• Background in relational and NoSQL databases (e.g., Postgres)
• Familiar with Linux shell and systems administration
• Solid grasp of data warehouse concepts and real-time processing
• Excellent troubleshooting, documentation, and QA mindset

If interested, kindly share your updated CV to 82008 31681

We are looking for a Senior AI / ML Engineer to join our fast-growing team and help build AI-driven data platforms and intelligent solutions. If you are passionate about AI, data engineering, and building real-world GenAI systems, this role is for you!

🔧 Key Responsibilities

• Develop and deploy AI/ML models for real-world applications

• Build scalable pipelines for data processing, training, and evaluation

• Work on LLMs, RAG, embeddings, and agent workflows

• Collaborate with data engineers, product teams, and software developers

• Write clean, efficient Python code and ensure high-quality engineering practices

• Handle model monitoring, performance tuning, and documentation

Required Skills

• 2–5 years of experience in AI/ML engineering

• Strong knowledge of Python, TensorFlow/PyTorch

• Experience with LLMs, GenAI, RAG, or NLP

• Knowledge of Databricks, MLOps or cloud platforms (AWS/Azure/GCP)

• Good understanding of APIs, distributed systems, and data pipelines

🎯 Good to Have

• Experience in healthcare, SaaS, or big data

• Exposure to Databricks Mosaic AI

• Experience building AI agents

Mandatory Criteria (Can't be neglected during screening) :

• Candidate Must have Project management experience.
• Strong hands-on experience with SQL, including the ability to write, optimize, and debug complex queries (joins, CTEs, subqueries).
• Must have experience in Treasury Module.
• Should have a basic understanding of accounting principles and financial workflows
• 3+ years of implementation experience is required.
• Looking candidates from Fintech company ONLY. ( Candidate should have Strong knowledge of fintech products, financial workflows, and integrations )
• Candidate should have Hands-on experience with tools such as Jira, Confluence, Excel, and project management platforms.
• Candidate should have Experience in managing multi-stakeholder projects from scratch.

Position Overview

We are looking for an experienced Implementation Lead to drive the onboarding and implementation of our platform for new and existing fintech clients. This role is ideal for someone with a strong understanding of financial systems, implementation methodologies, and client management. You’ll collaborate closely with product, engineering, and customer success teams to ensure timely, accurate, and seamless deployments.

Key Responsibilities

• Lead end-to-end implementation projects for enterprise fintech clients
• Translate client requirements into detailed implementation plans and configure solutions accordingly.
• Write and optimize complex SQL queries for data analysis, validation, and integration
• Oversee ETL processes – extract, transform, and load financial data across systems
• Collaborate with cross-functional teams including Product, Engineering, and Support
• Ensure timely, high-quality delivery across multiple stakeholders and client touchpoints
• Document processes, client requirements, and integration flows in detail.

Required Qualifications

• Bachelor’s degree in Finance, Business Administration, Information Systems, or related field
• 3+ years of hands-on implementation/project management experience
• Proven experience delivering projects in Fintech, SaaS, or ERP environments
• Strong understanding of accounting principles and financial workflows
• Hands-on SQL experience, including the ability to write and debug complex queries (joins, CTEs, subqueries)
• Experience working with ETL pipelines or data migration processes
• Proficiency in tools like Jira, Confluence, Excel, and project tracking systems
• Strong communication and stakeholder management skills
• Ability to manage multiple projects simultaneously and drive client success

Preferred Qualifications

• Prior experience implementing financial automation tools (e.g., SAP, Oracle, Anaplan, Blackline)
• Familiarity with API integrations and basic data mapping
• Experience in agile/scrum-based implementation environments
• Exposure to reconciliation, book closure, AR/AP, and reporting systems
• PMP, CSM, or similar certifications

Skills & Competencies

Functional Skills

• Financial process knowledge (e.g., reconciliation, accounting, reporting)
• Business analysis and solutioning
• Client onboarding and training
• UAT coordination
• Documentation and SOP creation

Project Skills

• Project planning and risk management
• Task prioritization and resource coordination
• KPI tracking and stakeholder reporting

Soft Skills

• Cross-functional collaboration
• Communication with technical and non-technical teams
• Attention to detail and customer empathy
• Conflict resolution and crisis management

What We Offer

• An opportunity to shape fintech implementations across fast-growing companies
• Work in a dynamic environment with cross-functional experts
• Competitive compensation and rapid career growth
• A collaborative and meritocratic culture

LogiNext is looking for a technically savvy and passionate Senior Software Engineer - Data Science to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.

In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

Your goal will be to help our company analyze trends to make better decisions. Without knowledge of how the software works, data scientists might have difficulty in work. Apart from experience in developing R and Python, they must know modern approaches to software development and their impact. DevOps continuous integration and deployment, experience in cloud computing are everyday skills to manage and process data.

Responsibilities :

Adapting and enhancing machine learning techniques based on physical intuition about the domain Design sampling methodology, prepare data, including data cleaning, univariate analysis, missing value imputation, , identify appropriate analytic and statistical methodology, develop predictive models and document process and results Lead projects both as a principal investigator and project manager, responsible for meeting project requirements on schedule and on budget Coordinate and lead efforts to innovate by deriving insights from heterogeneous sets of data generated by our suite of Aerospace products Support and mentor data scientists Maintain and work with our data pipeline that transfers and processes several terabytes of data using Spark, Scala, Python, Apache Kafka, Pig/Hive & Impala Work directly with application teams/partners (internal clients such as Xbox, Skype, Office) to understand their offerings/domain and help them become successful with data so they can run controlled experiments (a/b testing) Understand the data generated by experiments, and producing actionable, trustworthy conclusions from them Apply data analysis, data mining and data processing to present data clearly and develop experiments (ab testing) Work with development team to build tools for data logging and repeatable data tasks tol accelerate and automate data scientist duties

Requirements:

Bachelor’s or Master’s degree in Computer Science, Math, Physics, Engineering, Statistics or other technical field. PhD preferred 4 to 7 years of experience in data mining, data modeling, and reporting 3+ years of experience working with large data sets or do large scale quantitative analysis Expert SQL scripting required Development experience in one of the following: Scala, Java, Python, Perl, PHP, C++ or C# Experience working with Hadoop, Pig/Hive, Spark, MapReduce Ability to drive projects Basic understanding of statistics – hypothesis testing, p-values, confidence intervals, regression, classification, and optimization are core lingo Analysis - Should be able to perform Exploratory Data Analysis and get actionable insights from the data, with impressive visualization. Modeling - Should be familiar with ML concepts and algorithms; understanding of the internals and pros/cons of models is required. Strong algorithmic problem-solving skills Experience manipulating large data sets through statistical software (ex. R, SAS) or other methods Superior verbal, visual and written communication skills to educate and work with cross functional teams on controlled experiments Experimentation design or A/B testing experience is preferred. Experince in team management.

Position: Full Stack developer

Location: Bangalore

Experience:  3 to 5 years, preferably in an agile environment

RESPONSIBILITIES
·     Understanding requirements present in specification documents
·     Knowledge on cloud environment
·     API development for consumption by webapp and mobile apps
·     Database schema design
·     Integration with partner systems based on REST APIs
·     Working with code base across multiple development & staging environments
·     Take part in User Acceptance Testing (UAT)
·     Be part of Production deployment & release activities

TECH SKILLS
·     Must Have:
*       Python and Node Js
*       RDBMS :Postgre SQL/ MongoDB
*       Must have knowledge on AWS or Digital Ocean
*       Good documentation skills
·     Good to have:
*       Javascript
*       RabbitMQ
*       Django
*       Docker
*       Redis
*       Flask
*       nginx
*       graylog

• Rockstar Coworkers
• Friendly & Energetic Environment
• 21 paid leaves
• Reward Employees with Experiences
• Free Food & Coffee
• Team Outings from time to time
• Work From Home Option Available
• Treat all employees as equals

Tech Stacks used  by us : 

Frontend : VueJs 

Backend : NodeJs

Key skills: ReactJs, HTML5, CSS3, REST Protocols, NodeJs, JEST, GraphQL.

Responsibilities:

• Participation in Company's product and implementation as a Frontend developer.
• Build the front-end for our mobile and web products
• Convert wireframes into working UI interfaces
• Write REST calls to interact with our back-end API
• Participation in research activities.
• Build reusable code and libraries for future use
  
  

Requirements:

• Keen design eye to translate wire frames into pixel perfect web pages
• Excellent JSON/DOM manipulation skills
• Should have strong key skills in HTML5, CSS and advanced JavaScript and the ability to turn design mock-ups into great looking sites with user interactions.
• Must also be up-to-date with cross-browser and cross-platform issues, have a good eye for detail and be able to work to tight deadlines
• Experience in building Scalable Apps
• Experience with third- party libraries, social media integration and APIs.
• Work on building product from scratch and improving application performance.
• Should understand and have knowledge on the application security practices/vulnerabilities
• Understands Web Products and understand Performance of the application.
• Linux and Unix Skills
• Hands on experience in collecting and analyzing/improving Application analytics
• Good understanding in User Patterns, CTRs and closely work with UX and Product team in a dynamic environment
• Understanding of server-side CSS pre-processing platforms, such as LESS and SASS
• Proficient understanding of code versioning tools, such as Git / SVN
• Good understanding of asynchronous request handling, partial page updates, and AJAX

Industry Background : Product based startup
Location : Hiranandani - Powai, Mumbai. (Remote working option available for candidates residing out of Mumbai)
Working Days & Timings : Monday to Saturday (Alternate Saturdays off), 12pm - 9pm.

Kindly apply if interested.