Management Trainee/Executive

Job Description:

We are seeking a skilled Logistics Executive to manage end-to-end export logistics operations. The role involves coordinating with internal teams and external partners to ensure timely and efficient movement of shipments.

Key Responsibilities:

• Update and negotiate daily freight rates, arrange quotations, and book vessels & containers
• Track shipments from origin to destination, including container lift-on/lift-out and stuffing
• Monitor export documentation and coordinate with CHAs, forwarders, vendors, and third-party agencies
• Verify freight & transportation invoices and coordinate with Accounts
• Report and track additional local charges
• Prepare and maintain daily, weekly, and monthly MIS reports
• Develop and update SOPs; handle troubleshooting and ad-hoc logistics tasks
• Conduct periodic vendor and operational visits to ensure smooth workflow

Required Skills & Competencies:

• Strong knowledge of export logistics and freight forwarding
• Excellent coordination and communication skills
• Proficiency in MIS reporting and documentation
• Problem-solving and target-driven mindset
• Ability to work with multiple stakeholders and handle operational challenges

About the Role :

As the Lead AI/ML Engineer, you will be responsible for leading the design, development, deployment, and continuous improvement of AI-powered solutions that create measurable impact in education. This role combines hands-on technical execution with engineering leadership, requiring you to architect scalable AI systems, mentor engineers, establish best practices, and collaborate closely with cross-functional teams to deliver production-grade solutions.

You will take ownership of the complete AI development lifecycle—from problem definition and data pipeline design to model training, deployment, monitoring, and optimization—while ensuring high standards of reliability, scalability, security, and performance. The role also involves evaluating emerging AI technologies and driving their adoption to enhance product capabilities and user experience.

Roles and Responsibilities:

• Lead the design, development, and deployment of AI-powered products for production environments.
• Drive technical architecture and decision-making across machine learning models, inference systems, cloud infrastructure, and distributed computing.
• Develop and maintain end-to-end machine learning pipelines, including data ingestion, model training, evaluation, deployment, monitoring, and continuous optimization.
• Design scalable, secure, and high-performance AI services capable of handling production-scale workloads.
• Provide technical leadership by mentoring engineers, conducting code and design reviews, and fostering engineering excellence.
• Establish and promote best practices for software quality, testing, performance optimization, observability, reliability, and maintainability.
• Collaborate closely with Product, Backend, Mobile, and Data teams to deliver robust, scalable, and business-focused AI solutions.
• Research, evaluate, and implement emerging AI technologies to enhance product capabilities and drive innovation.

Required Skills & Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical discipline.
• Minimum 4 years of hands-on experience developing, deploying, and maintaining production-grade AI/ML systems.
• Strong proficiency in Python with excellent software engineering, object-oriented programming, and system design skills.
• Extensive experience with modern machine learning frameworks such as PyTorch, Hugging Face, TensorFlow, or equivalent.
• Proven expertise in deploying, optimizing, and scaling large language models (LLMs) and other AI models for production inference.
• Strong understanding of containerization and cloud-native technologies, including Docker, Kubernetes, AWS, and distributed system architectures.
• Demonstrated ability to lead technical initiatives, mentor engineering teams, and make sound architectural decisions.
• Excellent analytical, debugging, communication, and problem-solving skills.

Preferred Qualifications

• Hands-on experience with Large Language Models (LLMs), Computer Vision, Speech Recognition, Generative AI, or Multimodal AI systems.
• Experience with model optimization and inference technologies such as Quantization, Distributed Training, vLLM, TensorRT, ONNX Runtime, or similar frameworks.
• Prior experience developing AI solutions for the education, public sector, or other large-scale social impact initiatives.

Details:

• Location: Kothrud, Pune.
• Interested candidates should fill in the application on career website   https://careers.vopa.in/                                 
• Salary :- 12 LPA to 14 LPA (Depending on last drawn salary, Interview and Skills)

About AppsForBharat

AppsForBharat is building AI-first consumer experiences that help millions of Indians connect with spirituality and culture. Backed by Peak XV, Elevation, Fundamentum, and others, we are one of India’s fastest-growing Series C consumer-tech companies.

Our flagship product, Sri Mandir, is the world’s largest platform for Hindu devotees, powering rituals, teachings, and a deeply engaged devotional community.

Role Overview

We are looking for performance-driven growth professionals to own and scale our user acquisition engine.

You will drive key business metrics like Revenue, CAC, ROAS, and Contribution Margins, working at the intersection of data, creatives, and consumer behavior.

This is not just a media buying role — it requires strong business understanding, creative intuition, and experience scaling high-intent consumer funnels.

What You’ll Do

• Plan, launch, and scale app marketing campaigns across Meta & Google (UAC)
• Own end-to-end campaign performance — budgets, bidding, optimization
• Drive improvements in CPI, CAC, ROAS, and revenue growth
• Optimize full funnel (CTR → CVR → CPI → ROAS)
• Run continuous A/B testing across creatives, audiences, and funnels
• Collaborate with product, content, and category teams to improve conversion
• Align campaigns with consumer behavior, events, and seasonal trends

What We’re Looking For

• 5–7+ years of experience in performance marketing / growth (D2C / B2C / app-first)
• Strong hands-on experience with Meta Ads & Google Ads (UAC)
• Proven track record of scaling high-budget campaigns with strong CAC/ROAS control
• Experience in conversion-focused funnels (purchase / transaction-led)
• Strong understanding of performance metrics, attribution, and funnels
• Analytical mindset with experience in Excel / dashboards

Strong Preference

• Experience in high-growth D2C brands or consumer internet companies
• Exposure to revenue-driven campaigns (not just lead gen)
• Experience scaling during high-traffic events / seasonal spikes

Why Join Us

• Own high-impact growth levers end-to-end
• Work on a high-scale consumer product used by millions
• Solve real business problems, not just campaign execution

Job Summary:

We are seeking an experienced SFCC B2B Developer to join our team. The successful candidate will have a strong background in developing and implementing B2B commerce solutions on the Salesforce Commerce Cloud platform. The ideal candidate will have expertise in SFCC's B2B features, including account management, order management, and pricing.

Key Responsibilities:

- Design and develop B2B commerce solutions on SFCC

- Implement SFCC's B2B features, including account management, order management, and pricing

- Integrate SFCC with external systems, such as ERP and CRM

- Troubleshoot and resolve technical issues

- Collaborate with cross-functional teams, including sales, marketing, and customer service

Requirements:

- 3+ years of experience with SFCC development

- Strong understanding of SFCC's B2B features and functionality

- Experience with JavaScript, HTML, and CSS

- Experience with SFCC's APIs and integration tools

- Strong problem-solving skills and attention to detail

- Excellent communication and collaboration skills

RESPONSIBILITIES:

 Requirement understanding and elicitation, analyze, data/workflows, contribute to product

project and Proof of concept (POC)

 Contribute to prepare design documents and effort estimations.

 Develop AI/ML Models using best in-class ML models.

 Building, testing, and deploying AI/ML solutions.

 Work with Business Analysts and Product Managers to assist with defining functional user

stories.

 Ensure deliverables across teams are of high quality and clearly documented. 

 Recommend best ML practices/Industry standards for any ML use case.

 Proactively take up R and D and recommend solution options for any ML use case.

REQUIREMENTS:

Required Skills

 Overall experience of 4 to 7 Years working on AI/ML framework development

 Good programming knowledge in Python is must.

 Good Knowledge of R and SAS is desired.

 Good hands on and working knowledge SQL, Data Model, CRISP-DM.

 Proficiency with Uni/multivariate statistics, algorithm design, and predictive AI/ML modelling.

 Strong knowledge of machine learning algorithms, linear regression, logistic regression, KNN,

Random Forest, Support Vector Machines and Natural Language Processing.

 Experience with NLP and deep neural networks using synthetic and artificial data.

 Involved in different phases of SDLC and have good working exposure on different SLDC’s like

Agile Methodologies.

Job Scope

• Requirements Gathering & Designing: Liaison with SMEs to understand their Business Requirements and advise them on efficient system solutions. If required, guide the clients in re-engineering their Business Processes. Also, educate them on alternatives for system design & advice on how to achieve desired business outcomes.
• Implementation: Configure and Test SAP SuccessFactors modules
• Data Migration:  Perform/Support Data Migration as required
• Client Engagement: Set up relevant data within the configured SAP SuccessFactors module, to showcase to the client the end-to-end business process. Collect & process the feedback from Clients, to make necessary system changes. Also, extend extensive support to Clients when they test SAP SuccessFactors modules
• Training: Educate clients on how to use SAP SuccessFactors modules
• Documentation: Diligently document Business Requirements to baseline for implementation. Prepare training materials & other documents required for the successful completion of the project. 
• Support: Post implementation, understand the requirements/issues of the client and provide necessary technical solutions. This could include fixing issues and/or implementing new features based on business needs.

The ideal candidate loves talking to people and proactively solving issues. You will be responsible for converting customers into passionate evangelists

Responsibilities

• Communicate with customers via phone, email and chat

• Provide knowledgeable answers to questions about product, pricing and availability

• Work with internal departments to meet customer's needs

• Data entry in various platforms Qualifications

• Freshers can apply

• Excellent phone etiquette and excellent verbal, written, and interpersonal skills

• Ability to multi-task, organize, and prioritize work

• 3to 4years of professional experience as a DevOps / System Engineer
• Command line experience with Linux including writing bash scripts
• Programming in Python, Java or similar
• Fluent in Python and Python testing best practices
• Extensive experience working within AWS and with it’s managed products (EC2, ECS, ECR,R53,SES, Elasticache, RDS,VPCs etc)
• Strong experience with containers (Docker, Compose, ECS)
• Version control system experience (e.g. Git)
• Networking fundamentals
• Ability to learn and apply new technologies through self-learning

Responsibilities

• As part of a team implement DevOps infrastructure projects
• Design and implement secure automation solutions for development, testing, and productionenvironments
• Build and deploy automation, monitoring, and analysis solutions
• Manage our continuous integration and delivery pipeline to maximize efficiency
• Implement industry best practices for system hardening and configuration management
• Secure, scale, and manage Linux virtual environments
• Develop and maintain solutions for operational administration, system/data backup, disasterrecovery, and security/performance monitoring