Digital Marketing Specialist

🎯 Ideal Candidate Profile:

This role requires a seasoned engineer/scientist with a strong academic background from a premier institution and significant hands-on experience in deep learning (specifically image processing) within a hardware or product manufacturing environment.

📋 Must-Have Requirements:

Experience & Education Combinations:

Candidates must meet one of the following criteria:

• Doctorate (PhD) + 2 years of related work experience
• Master's Degree + 5 years of related work experience
• Bachelor's Degree + 7 years of related work experience

Technical Skills:

• Minimum 5 years of hands-on experience in all of the following:
• Python
• Deep Learning (DL)
• Machine Learning (ML)
• Algorithm Development
• Image Processing
• 3.5 to 4 years of strong proficiency with PyTorch OR TensorFlow / Keras.

Industry & Institute:

• Education: Must be from a premier institute (IIT, IISC, IIIT, NIT, BITS) or a recognized regional tier 1 college.
• Industry: Current or past experience in a Product, Semiconductor, or Hardware Manufacturing company is mandatory.
• Preference: Candidates from engineering product companies are strongly preferred.

ℹ️ Additional Role Details:

• Interview Process: 3 technical rounds followed by 1 HR round.
• Work Model: Hybrid (requiring 3 days per week in the office).

Based on the job description you provided, here is a detailed breakdown of the Required Skills and Qualifications for this AI/ML/LLM role, formatted for clarity.

📝 Required Skills and Competencies:

💻 Programming & ML Prototyping:

• Strong Proficiency: Python, Data Structures, and Algorithms.
• Hands-on Experience: NumPy, Pandas, Scikit-learn (for ML prototyping).

🤖 Machine Learning Frameworks:

• Core Concepts: Solid understanding of:
• Supervised/Unsupervised Learning
• Regularization
• Feature Engineering
• Model Selection
• Cross-Validation
• Ensemble Methods: Experience with models like XGBoost and LightGBM.

🧠 Deep Learning Techniques:

• Frameworks: Proficiency with PyTorch OR TensorFlow / Keras.
• Architectures: Knowledge of:
• Convolutional Neural Networks (CNNs)
• Recurrent Neural Networks (RNNs)
• Long Short-Term Memory networks (LSTMs)
• Transformers
• Attention Mechanisms
• Optimization: Familiarity with optimization techniques (e.g., Adam, SGD), Dropout, and Batch Normalization.

💬 LLMs & RAG (Retrieval-Augmented Generation):

• Hugging Face: Experience with the Transformers library (tokenizers, embeddings, model fine-tuning).
• Vector Databases: Familiarity with Milvus, FAISS, Pinecone, or ElasticSearch.
• Advanced Techniques: Proficiency in:
• Prompt Engineering
• Function/Tool Calling
• JSON Schema Outputs

🛠️ Data & Tools:

• Data Management: SQL fundamentals; exposure to data wrangling and pipelines.
• Tools: Experience with Git/GitHub, Jupyter, and basic Docker.

🎓 Minimum Qualifications (Experience & Education Combinations):

Candidates must have experience building AI systems/solutions with Machine Learning, Deep Learning, and LLMs, meeting one of the following criteria:

• Doctorate (Academic) Degree + 2 years of related work experience.
• Master's Level Degree + 5 years of related work experience.
• Bachelor's Level Degree + 7 years of related work experience.

⭐ Preferred Traits and Mindset:

• Academic Foundation: Solid academic background with strong applied ML/DL exposure.
• Curiosity: Eagerness to learn cutting-edge AI and willingness to experiment.
• Communication: Clear communicator who can explain ML/LLM trade-offs simply.
• Ownership: Strong problem-solving and ownership mindset.

Backend (Primary Focus) ● Strong knowledge and experience in Object-Oriented Programming (OOP) concepts. ● Strong understanding of Java, Spring Boot, and REST API development. ● Experience in Test-Driven Development (TDD) with Spring Boot. ● Proficiency in developing APIs using Redis and relational databases (MySQL preferred). ● Strong understanding of the AWS cloud platform, with experience using services like S3, Lambda. ● Good understanding of code versioning tools (Git) and bug-tracking systems (JIRA, etc.). ● Knowledge of DocumentDB or any other NoSQL document database is a plus. Frontend (Good to Have / Preferred for Full-Stack Evaluation) ● Hands-on experience with React.js, including state management (e.g., Redux, Context API). ● Experience with modern UI development, including CSS frameworks (Tailwind, Material-UI, Bootstrap, etc.). ● Understanding of REST API integration and handling API calls efficiently in React. ● Familiarity with component-driven development and frontend testing (e.g., Jest, React Testing Library).

Mandatory : Excellent in communications  

Job Description:

 The HR Operations plays a pivotal role in ensuring the smooth and efficient functioning of the human resources department. This position involves managing various HR processes to support the organization's workforce.  

 Job Details:  

● Taking care of onboarding/Exit, Induction, documentation etc. for successful joining of candidates at client’s place of various letters to the candidates on behalf of clients such as Offer Letters, Appointment Letters & ID Cards etc.  

● Coordination with clients for attendance & leave records.  

● Interact & maintain excellent relationships with our client’s employees by ensuring proactive solutions & support for all their HR related queries 

 ● Coordinate with internal departments for any kind of support required for servicing the client successfully  

● Good to have experience of payroll processing and compliances like PF, ESIC, PT, LWF etc.  

● Must have excellent verbal & written comm. Skills

Qualifications:  

* Bachelor's degree in Human Resources, Business Administration, or a related field.  

* Proven experience in HR operations or a similar role. • Familiarity with HRIS and other HR software.

 • Strong organizational and communication skills. • Payroll Experience is mandatory. 

 • Attention to detail and a commitment to maintaining confidentiality. • Ability to multitask and prioritize in a fast-paced environment. Must be from Staffing industry ONLY

Work life balance / Startup / Learning / Good Environment .................................................................

Business Development Associate JD

About Us

We are the largest and most active online platform for international education!

Yocket was established in 2015 with a mission to connect people to the world's best

learning opportunities. Today, Yocket is the largest community-driven online platform

for international education.

We specialize in premium counselling services for students with ambitions of

pursuing higher education abroad by connecting them to the best universities in the

world. We offer a comprehensive range of services, including expert counselling, test

preparation, visa assistance, and even loans to facilitate your educational journey.

Till date, we have helped more than 10,00,000 students across countries pursue

their higher education. Our students have secured admissions in all of the world's

top 100 global universities, including prestigious institutions such as Harvard

University, MIT, Stanford, University of Oxford, and Columbia University.

We've assisted over 5,700 students in obtaining loans securing more than INR 1,500

Crores, spanning across 15 countries, and have partnered with 12+ lenders like

HDFC, Avanse, Incred, Leap Finance, Union Bank, Axis, and Yes Bank.

At Yocket, we strive to help our employees find passion and purpose. Join us in

changing the way students make their decisions about education. If you wish to

create an impact and help students get the best education by taking our vision

ahead, we would love to have you on our team!

Job Description

Direct revenue generation through B2C sales.

Responsible for meeting and exceeding sales targets.

Building rapport with students and their parents to drive conversions.

Understanding student profiles to offer tailored solutions.

Open to making calls and following up from different lead sources.

Participating in virtual/physical events, seminars, and webinars.

Requirements

Fresher to maximum 5 years of experience in sales.

Proven ability to meet or exceed targets.

Bachelor's degree or equivalent experience.

Prior experience in target-based sales or revenue-focused roles is a plus.

Exceptional written and verbal communication skills.

Highly organized and detail-oriented.

Strong interpersonal and persuasion skills.

Experience in EdTech sales will be a strong advantage.

Familiarity with CRM tools is preferred.

Benefits

Medical Insurance for you and your family.

No-boss culture – We value ideas over hierarchy.

Access to a psychological counselor – Mental health support provided.

Are you ready to revolutionize the manufacturing landscape? We're on the hunt for a dynamic OT-IT Expert who’s not just skilled but passionate about transforming operational technology! Join us in optimizing our manufacturing shop floors by auditing and enhancing infrastructure and connectivity. Your mission? Identify those sneaky gaps in our data collection architecture and ensure our machines and sensors talk smoothly to the cloud. If you thrive in IIoT environments and can navigate the complexities of communication protocols like a pro, we want you on our team!

Key Responsibilities:

1. Audit Like a Pro: Dive deep into our existing infrastructure and connectivity on the manufacturing shop floor.
2. Gap Detective: Identify gaps in our architecture for seamless data collection from machines and sensors to cloud systems.
3. Solution Architect: Design and propose the best-suited, cost-effective solution architectures based on your gap analysis.
4. Proposal Wizard: Develop and prepare detailed project proposals that impress stakeholders.
5. Supplier Negotiator: Identify and negotiate with suppliers for the required hardware and peripherals to bring your designs to life.
6. Challenge Anticipator: Plan ahead for potential implementation challenges and devise clever solutions.
7. Project Overlord: Oversee IIoT project implementations to ensure they stay on track and meet objectives.
8. Data Accuracy Guardian: Ensure the accuracy of captured data by validating against actual shop floor values.
9. Data Structurer: Develop and implement data format structuring and standard frameworks that enhance our operations.
10. Quality Assurance Champion: Perform thorough Quality Assurance (QA) on collected data before handing it over to our data engineers.

Required Skills and Experience:

• Extensive experience in IIoT projects involving field communication protocols (Modbus, OPC, PROFINET, PROFIBUS).
• Strong knowledge of PLC programming with hands-on experience in multiple PLC brands (Siemens, Allen-Bradley, Mitsubishi).
• Proficient in auditing and analyzing OT infrastructure like a seasoned expert.
• Expertise in cloud connectivity and data collection systems.
• Creative thinker with the ability to design scalable and cost-effective IIoT architectures.
• Strong negotiation skills to manage vendor relationships effectively.
• Exceptional problem-solving and forward-thinking abilities.
• Solid understanding of manufacturing processes and shop floor operations.
• Proven experience in data validation, structuring, and quality assurance.
• Familiarity with data engineering concepts and the ability to liaise with data engineering teams.

Preferred Qualifications:

• Bachelor's degree in Instrumentation, Information Technology, Electrical Engineering, or a related field.
• Relevant certifications in Industrial Automation or IIoT technologies.
• 5+ years of experience in OT/IT convergence projects within manufacturing environments.
• Experience with data standardization and framework development in industrial settings.

Key Attributes:

• Strategic thinker with a hands-on approach who can get things done.
• Excellent communication skills to connect with both technical and non-technical stakeholders.
• Proactive problem-solver with a history of successful project deliveries.
• Adaptable to rapidly evolving technology landscapes, ready for anything!
• Meticulous attention to detail, especially in data accuracy and quality.
• Strong analytical skills for data validation and structure optimization.

• Develop and execute engineering strategy (including technology architecture, development stack, scalability, security etc.) of all our SaaS solutions while keeping in mind needs of business as usual and evolving product feature requirements
• Lead the engineering team and ensure good delivery management to deliver the product roadmap with high speed and quality
• Innovation – explore available technologies that may be useful to our context and run experiments and POCs to evaluate before adoption
• Bring automation and best practices to code management, testing and build & deployment processes
• Solve the most complex issues/initiatives through hands-on development
• Help the team members in resolving difficult technical issues
• Be a champion of engineering excellence: establish team metrics for measurement of engineering and operational excellence. Implement a consistent, regular process for assessment and improvement
• Provide thought-leadership to fellow team members by working as a guide and mentor to the rest of the team members

• Best in Industry Remuneration
• Attractive ESOP opportunity with huge potential upside
• Cutting edge technologies with always something new happening
• Start-up culture with full ownership and freedom
• Fully flexible hours and work from anywhere
• Super-fun work environment and colleague

• Microservices, Spring Boot, Core Java, Struts 2.0, JPA & Hibernate
• Hands-On experience in relational databases (MySQL Preferred)
• Experience in Data warehousing & Analytics
• Hands-on exposure in mobile application developmen

Qualifications

• B.E. / B.Tech from Tier 1 Institute

• Become the expert of our platform and have a complete understanding of our features and use-cases.
• Conduct product demonstrations on a daily basis to clients.
• Own the full sales cycle of closing a deal.
• Discover customer needs and communicate to prospects how company is different from all other competitive platforms.
• Ability to crack annual deals from clients by smartly using closing levers.

• Sales guy in-person meetings + on-spot closure with institutes.
• Should have 1+ years relevant experience in the SaaS domain.
• Should have a two-wheeler

• Must have two wheeler
• Well versed in Regional Language along with English
• SaaS experience

• Writing well-designed, stable and efficient code
• Building reusable components and libraries for future
• Troubleshooting and debugging to optimize performance
• Providing code documentation and other inputs to technical documents
• Participating in code reviews
• Troubleshooting and bug fixing
• Identifying bottlenecks and improving software efficiency
• Collaborating with the design team on developing micro-services