Social Media Marketer

Review Criteria

• Strong Senior Data Scientist (AI/ML/GenAI) Profile
• 5+ years of experience in designing, developing, and deploying Machine Learning / Deep Learning (ML/DL) systems in production
• Must have strong hands-on experience in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX.
• 1+ years of experience in fine-tuning Large Language Models (LLMs) using techniques like LoRA/QLoRA, and building RAG (Retrieval-Augmented Generation) pipelines.
• Must have experience with MLOps and production-grade systems including Docker, Kubernetes, Spark, model registries, and CI/CD workflows

Preferred

• Prior experience in open-source GenAI contributions, applied LLM/GenAI research, or large-scale production AI systems
• Preferred (Education) – B.S./M.S./Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.

Job Specific Criteria

• CV Attachment is mandatory
• Which is your preferred job location (Mumbai / Bengaluru / Hyderabad / Gurgaon)?
• Are you okay with 3 Days WFO?
• Virtual Interview requires video to be on, are you okay with it?

Role & Responsibilities

Company is hiring a Senior Data Scientist with strong expertise in AI, machine learning engineering (MLE), and generative AI. You will play a leading role in designing, deploying, and scaling production-grade ML systems — including large language model (LLM)-based pipelines, AI copilots, and agentic workflows. This role is ideal for someone who thrives on balancing cutting-edge research with production rigor and loves mentoring while building impact-first AI applications.

Responsibilities:

• Own the full ML lifecycle: model design, training, evaluation, deployment
• Design production-ready ML pipelines with CI/CD, testing, monitoring, and drift detection
• Fine-tune LLMs and implement retrieval-augmented generation (RAG) pipelines
• Build agentic workflows for reasoning, planning, and decision-making
• Develop both real-time and batch inference systems using Docker, Kubernetes, and Spark
• Leverage state-of-the-art architectures: transformers, diffusion models, RLHF, and multimodal pipelines
• Collaborate with product and engineering teams to integrate AI models into business applications
• Mentor junior team members and promote MLOps, scalable architecture, and responsible AI best practices

Ideal Candidate

• 5+ years of experience in designing, deploying, and scaling ML/DL systems in production
• Proficient in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX
• Experience with LLM fine-tuning, LoRA/QLoRA, vector search (Weaviate/PGVector), and RAG pipelines
• Familiarity with agent-based development (e.g., ReAct agents, function-calling, orchestration)
• Solid understanding of MLOps: Docker, Kubernetes, Spark, model registries, and deployment workflows
• Strong software engineering background with experience in testing, version control, and APIs
• Proven ability to balance innovation with scalable deployment
• B.S./M.S./Ph.D. in Computer Science, Data Science, or a related field
• Bonus: Open-source contributions, GenAI research, or applied systems at scale

Job Description:

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

As an Instructional Design Apprentice, you will provide support in creating a broad range of creative materials including documents, presentations, eLearnings, newsletters, flyers, videos, and other media to assist our training team.

Key Responsibilities:

Research and Analysis: Conduct research on best practices in workplace inclusion and equity. Analyze data to identify trends and insights that can inform our strategies.

Content Development: Assist in creating training materials, presentations, and reports. Contribute to the development of engaging and informative content for our clients.

Outreach and Engagement: Help identify potential clients and partners who align with our mission. Assist in outreach efforts to promote our services and build relationships with key stakeholders.

Event Assistance: Assist in planning and organizing events, workshops, and webinars focused on inclusion and equity. Help with logistics, participant engagement, and follow-up activities.

Qualifications:

Educational Background: Currently enrolled in or recently graduated from a degree program related to social sciences, human resources, business, or a related field and experience in graphic design, studio art, communication art, or web design

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.

Technical Skills: Working knowledge of PowerPoint (and other Microsoft Office applications, including Word and Outlook) and preferred knowledge in Adobe Creative Cloud.

Compensation and Expectations:

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

Job Title: Pre - Sales Engineer

Location: Navi Mumbai, Vashi

Department: BMS (Building Management System)

Reports To: Regional Sales Manager

Job Summary:

We are seeking a dynamic and technically proficient Pre Sales Engineer to join our team. In this role, individual will be responsible to provide technical expertise and support to our sales teams, ensuring that customers receive accurate, tailored solutions that meet their needs. Individual will collaborate with internal and external stakeholders to drive sales growth, manage quotations, and ensure smooth execution of customer orders. The ideal candidate will have a strong technical background, sales aptitude, and excellent interpersonal skills.

Key Responsibilities:

• Technical Expertise: Leverage technical knowledge to support sales teams and provide accurate, technical solutions to meet customer needs.
• Commercial Awareness: Apply commercial understanding to enhance the precision of deals and customer proposals.
• Customer Solutions: Understand customer requirements and present customized technical solutions that align with their business goals.
• Collaboration: Work closely with sales teams to build strong customer relationships and drive revenue growth.
• Communication: Exhibit excellent communication skills, creating compelling sales presentations and effectively collaborating with customers, vendors, and internal teams.
• Solution Development: Develop solution architecture, detailed equipment lists, and presentation materials to meet customer requirements.
• Customer Support: Assist customers with technical issues related to equipment setup and resolve any post-sales concerns.
• Negotiation: Facilitate negotiations with potential customers, aligning technical and commercial aspects for successful deals.
• Quotation Management: Prepare accurate quotations based on customer requirements and ensure timely delivery through Regional Sales Managers.
• Vendor Coordination: Negotiate with vendors to secure backup quotes and select appropriate vendors based on technical product needs.
• Performance Tracking: Track issued quotations to monitor win rates, processing time, and the proportion of clean orders received.
• Internal Support & Coordination: Provide technical sizing, product selection, and support to Regional Sales Managers, ensuring timely and accurate quotations.
• Sales Support: Assist Regional Sales Managers and Dealers in technical discussions with customers to facilitate deal closure.
• Order Processing: Review purchase orders, ensure compliance with submitted offers, and coordinate with customers for amendments when necessary.
• Execution Handover: Once orders are finalized, pass on clean orders along with all required documentation to the Sales Operations Manager (SOM) for execution.
• Team Collaboration: Partner with the Regional Sales Manager to meet and exceed assigned regional sales targets.

Qualifications & Skills Required:

• Strong technical skills and comfort in leading technical discussions.
• Sales aptitude with a keen interest in interacting with customers.
• Proactive approach with a strong customer focus and problem-solving skills.
• Ability to quickly learn and adapt to new products and technologies.
• Excellent interpersonal and teamwork abilities.
• Knowledge of the PLC/Controller BMS industry preferred, though experience in HVAC is also acceptable.
• Familiarity with commercial terms and conditions and their application in sales processes.
• Proficiency in MS Office tools including Word, Excel, PowerPoint, and Project.

Preferred Qualifications and Experience:

• Engineering Degree (Electrical, Electronics, Mechanical)
• Strong communication and presentation skills.
• Familiarity with basic PLC and DDC design and software applications.
• Experience: 3-5 years of relevant in BMS or HVAC/ELV industry

JOB REQUIREMENTS:

• C#
• SQL
• FTF

QUALIFICATIONS ANS SKILLS:

BSc/BA in Computer Science, BCA, Engineering or a related field

1-3 years of web development experience.

Relevant E-com industry Experience.

Experience in JavaScript, HTML, CSS is a plus

RESPONSIBILITIES

Create and test applications for websites.

Maintaining the appearance of websites

Implementing automated testing platforms and unit tests.

Maintain and update websites

Troubleshoot website problems.

Job Description

• Experience working as a React.js Developer.
• In-depth knowledge of JavaScript, CSS, HTML, and front-end languages.
• Knowledge of REACT tools including React.js, Webpack, Enzyme, Redux, and Flux.
• Experience with user interface design.
• Experience with browser-based debugging and performance testing software.
• Excellent troubleshooting skills.
• Good project management skills.

• Define and document best practices and strategies regarding application deployment and infrastructure maintenance.
• Ensure limited system failure and increase up-time and availability of the various company apps.
• Understand the current application infrastructure and strive for making it better.
• Automate infrastructure and develop tools and processes to improve the customer experience and reduce support time.
• Work closely with a team of developers and solution strategists to develop, deploy and troubleshoot the deployment and infrastructure issues.
• Manage full application stacks from the OS through custom applications using Amazon cloud-based computing environments.
• Set up a monitoring stack.
• Implement the application’s CI/CD pipeline using the AWS stack. Increasingly automate and improve the testing plans and development workflows and tools.
• Work closely with the engineers to design networks, systems, and storage environments that effectively reflect business needs, security requirements, and service level requirements.
• Manage a continuous integration/continuous deployment methodology for the server-based technologies.
• Proficient in leveraging CI and CD tools to automate testing and deployment. Experience working in an Agile, fast-paced, DevOps environment.
• Support internal and external customers on multiple platforms.
• First point of contact for handling customer issues, providing guidance and recommendations to increase efficiency and reduce customer incidents.
• Learn on the job and explore new technologies with little supervision.
• In addition to providing customer support, will be responsible for helping build tools and processes necessary for excellent customer outcomes.

Skills:

• Experience with the core AWS services, plus the specifics mentioned in this job description.
• Experience working with at least one of the following languages: Node.js, Python, PHP, Ruby, Kotlin or Java.
• Proficient with Git and Git workflows and hosted enterprise Git solutions like GitHub.
• Ability to troubleshoot distributed systems.
• Experience with. AWS EKS Kubernetes infrastructure setup.
• Experience creating Cloud Formation Template to create Auto Scaling Groups, Route 53, DNS, back-end database, Elastic load balancer, VPCs, Subnets, Security Groups, Cloud Watch, S3, IAM roles, RDS DB instances, and to provide those instances and configure those resources to work together reducing the manual effort.
• Experience in deploying and monitoring microservices on Kubernetes, AWS ECS, and AWS EKS
• Security aware and ensures that all systems are security standards-compliant.
• Good background in Linux/Unix administration.
• Experience with building or maintaining cloud-native applications.
• Minimum 3-5 years of cloud development experience, preferably AWS
• Experience with CI/CD tools like Jenkins preferred.
• Good analytical and communication skills
• Bachelor’s Degree in Computer Science, Engineering or a related technical discipline