Campus Coordionator

Job Description: 

Join us at Springer Capital, a corporate inclusion training company dedicated to promoting diversity and equity within the workplace.  

Our mission is to transform organizational cultures and achieve justice by creating environments where every individual is valued and feels a sense of belonging. Through providing training for workplace inclusion, understanding microaggressions, mitigating bias, and cultural literacy, Springer Capital seeks to eliminate bias and establish a just, fair working environment.  

As a Data Automation Intern, you will be focusing on researching and developing tools and workflow that automate some parts and processes of our business automation. Since business automation is important throughout the firm, you will have the opportunity to collaborate with various teams across Springer Capital. 

Key Responsibilities:  

• 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 alongside your progress.    
• Implement solutions based on insights you discovered to improve Springer Capital business’ processes or solve problems for client. 

  Qualifications: 

• Passion for Inclusion: A strong commitment to fighting inequality and promoting inclusion in the workplace. 
• Educational Background: Currently enrolled in or recently graduated from a degree program related to social sciences, human resources, business, statistics.  
• Communication Skills: Excellent written and verbal communication skills. Ability to create clear and engaging content. 
• Organizational Skills: Detail-oriented and highly organized. Ability to manage multiple tasks and deadlines effectively. 
• Analytical and Business Software Skills: Proficiency in business software such as Excel, PowerPoint, and Word with a strong preference of knowledge and experience in data analytics  

 Compensation and Expectations: 

• This internship is remote and unpaid. Interns are expected to work 15-20 hours a week. 

Strong AI Engineer / Machine Learning Engineer profiles.

2

Mandatory (Experience 1) – Must have minimum 3+ years of hands-on experience in Data Science, Machine Learning, Applied AI, NLP, Deep Learning, or Generative AI solutions.

3

Mandatory (Experience 2) – Must have strong hands-on experience in Python programming, SQL, data analysis, feature engineering, model development, and production-grade ML applications.

4

Mandatory (Experience 3) – Must have experience working with Machine Learning and Deep Learning frameworks such as PyTorch, TensorFlow, Keras, Scikit-learn, or equivalent.

5

Mandatory (Experience 4) – Must have hands-on experience working on NLP, embeddings, semantic search, text classification, document understanding, recommendation systems, or similar AI/ML use cases.

6

Mandatory (Experience 5) – Must have experience working with Large Language Models (LLMs) such as GPT, Llama, Mistral, Claude, Gemini, Phi, or similar foundation models.

7

Mandatory (Experience 6) – Must have hands-on experience building or implementing RAG (Retrieval Augmented Generation) systems, vector search, knowledge retrieval, embeddings, chunking, indexing, or semantic retrieval solutions.

8

Mandatory (Experience 7) – Must have experience working with Git, CI/CD practices, production environments, and scalable AI/ML systems.

9

Mandatory (CTC) – The CTC breakup offered will be 75% fixed + 25% variable, as per company policy.

10

Mandatory (Age) - Candidate's Age should be below 30 Years

11

Preferred (Experience 1) – Experience with MLFlow, Kubeflow, Airflow, Prefect, Feature Stores, Model Registry, or MLOps/LLMOps frameworks.

12

Preferred (Experience 2) – Experience working with Vector Databases, Spark, PySpark, distributed ML pipelines, large-scale data processing, or real-time ML systems..

13

Preferred (Experience 3) – Familiarity with Docker, Kubernetes, Azure, AWS, GCP, cloud-native AI deployments, and scalable ML architecture.

14

Preferred (Company) – Candidates from AI-first startups, Fintech, Banking, Lending, Fraud Analytics, Risk Analytics, Product Companies, SaaS organizations, or data-driven technology companies

15

Mandatory ( Pedigree) - B.TECH / M.TECH from Tier 1 Colleges (IIT's, NIT's, BITS) are Considered.

Description:

We are seeking an experienced SAP BRIM - SOM consultant to join our team. The ideal candidate will have a comprehensive understanding of the SAP BRIM - Subscription Order Management (SOM) module along with a strong background in the design, configuration, and support of SAP systems.

Responsibilities:

1. Gather business requirement and implement the SAP BRIM - SOM module based on specific business requirements.

2. Develop end-to-end solutions for the SAP BRIM - SOM platform. This includes creating functional specifications, working with technical teams to develop solutions, and conducting unit and integration testing.

Organization’s Profile: Head Field has been a formidable player in the outsourcing business market for

more than a decade. Started with a vision to help businesses abroad recruit talent from India, our

company now includes other services in its basket of offerings such as Virtual Assistance, Legal Process

Outsourcing, Artifique, Accounting Process Outsourcing, Filming and Editing, IT and many more. We

operate 24/7, serving clients worldwide.

Title: Business Development Associate/ Executive

Location: Sector -57, Noida, U.P

Summary: We are seeking a dynamic and results’ driven "Business Development Executive/ Associate"

to join our team. The ideal candidate will be responsible for identifying and exploring business

opportunities, engaging with corporate B2B clients and facilitating strategies to drive business growth.

This role demands a strategic thinker with excellent communications and negotiation skills.

Job Profile: It is a B2B sales position responsible for developing, maintaining, and growing business

within a diversified line of businesses. Activities include client acquisition, meeting business objectives,

obtaining requisitions/job orders, building client relationships, penetrating client accounts and ensuring

smooth delivery.

Work Responsibilities:

• The candidate will be responsible for generating new leads (lead generation), making

introductory calls, and performing market research to identify and attract potential clients.

• Build effective working relationships with the Clients; be a trusted advisor and a business

advocate.

• Work with the manager to follow up, escalate, and clear blockers as appropriate.

• Conduct market research and competitive analysis to help shape marketing strategies and

identify new opportunities for expansion.

• Maintains an ongoing relationship with prospective clients, continuously assessing and

communicating how Head Field can meet their needs.

• Negotiates terms and conditions for employment services contracts and collaborates with the

operations team to ensure seamless transitions.

• Managing Lead generation activities through various channels, including prospective outreach,

networking, and outreach campaigns.

• Develop and nurture relationships with prospective clients, converting leads into qualified

business opportunities.

• Work closely with the legal team to manage contract creation, review, and finalization, ensuring

compliance and alignment with company policies.

`

• Stay up-to-date on market trends, client needs, and competitive landscape to continuously refine

lead generation and sales approaches.

Job Description:

1.Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges

a. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem

b. Improve Model accuracy to deliver greater business impact

c.Estimate business impact due to deployment of model

2.Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge

3.Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines

4.Design , develop & deploy Deep learning models using Tensorflow / Pytorch 

5.Experience in using Deep learning models with text, speech, image and video data

a.Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc

b.Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV

c.Knowledge of State of the art Deep learning algorithms

6.Optimize and tune Deep Learnings model for best possible accuracy

7.Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau

8.Work with application teams, in deploying models on cloud as a service or on-prem

a.Deployment of models in Test / Control framework for tracking

b.Build CI/CD pipelines for ML model deployment

9.Integrating AI&ML models with other applications using REST APIs and other connector technologies

10.Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.

· Technology/Subject Matter Expertise

• Sufficient expertise in machine learning, mathematical and statistical sciences
• Use of versioning & Collaborative tools like Git / Github
• Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming
• Develop prototype level ideas into a solution that can scale to industrial grade strength
• Ability to quantify & estimate the impact of ML models.

· Softskills Profile

• Curiosity to think in fresh and unique ways with the intent of breaking new ground.
• Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control
• Ability to think ahead, and anticipate the needs for solving the problem will be important

·        Ability to communicate key messages effectively, and articulate strong opinions in large forums

· Desirable Experience:

• Keen contributor to open source communities, and communities like Kaggle
• Ability to process Huge amount of Data using Pyspark/Hadoop
• Development & Application of Reinforcement Learning
• Knowledge of Optimization/Genetic Algorithms
• Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios
• Optimize and tune deep learning model for best possible accuracy
• Understanding of stream data processing, RPA, edge computing, AR/VR etc
• Appreciation of digital ethics, data privacy will be important
• Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus
• Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus

• Oversee the editing of all video content, ensuring it aligns with the creative vision and storytelling objectives.
• Manage the editing team, assigning projects, monitoring progress, and ensuring deadlines are met.
• Collaborate with Directors, Producers, and Motion Graphics Designers to create cohesive and engaging narratives.
• Maintain quality control on all output, ensuring that the final products meet the high standards expected by clients and stakeholders.
• Innovate and drive the adoption of new editing technologies and techniques to keep the agency at the forefront of the industry.

Designation: Angular / Frontend / Ui / UX Developer

Office Timing: Flexible (Day/Night shift, WFH & WFO)

Office Location: Ambala Cantt.

Experience: 3 – 5 yrs.

Essential Duties /Responsibilities/ Skill Set:

• Translation of the UI/UX design wireframes to actual code that will produce visual elements of custom analytics products and wide web applications.
• Take an active role on both sides and defining how the application looks as well as how it works.
• Experience developing new user-facing features.
• Experience in Angular Material, Angular 12 & Above, HTML, jQuery, JavaScript, Bootstrap.
• Knowledge of working with API integration using Swagger, Postman etc.
• Knowledge of working with Angular unit test frameworks Jasmine and Karma.
• Expert level experience in Angular is needed.
• Strong 3+ years of experience with JavaScript, HTML5, and CSS3, and writing cross-browser compatible code.
• Experience building reusable code and libraries for future use.
• Ensuring the technical feasibility of UI/UX designs.
• Optimize application for maximum speed and scalability.
• Assure that all user input is validated before submitting to back-end
• Collaborate with other team members and stakeholders.
• Experience/Knowledge of working with online productivity & collaborative tools like Invision, Figma is a plus.
• Knowledge in Python/Django Framework, and Azure Cloud is a plus.
  
  

Desired Skills:

• Strong UI/UX and design experience with the ability to simplify complex scenarios to the average user without losing functionality.
• Knowledgeable in web standards and responsive design.
• Familiarity with Agile project management principles.
• Confidence to drive assignments to completion.