HR Executive/ HR Officer

We're looking for an experienced Zoho Developer (1-2 years) to join our team! You'll work with internal teams to understand business requirements, configure and customize Zoho apps, and deliver end-to-end solutions. You'll also provide support, troubleshoot issues, and guide junior team members. Required skills include hands-on experience with Zoho Creator, CRM, Flow, Books, Analytics, and more, plus strong problem-solving and communication skills. Experience in client-facing roles and managing multiple projects is a plus.

🎯 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.

Strong Lead generation & Qualification Profile with B2B SaaS Experience

Mandatory (Experience 1): 6 months of experience in generating new leads and prospecting them for B2B SaaS products (can consider Internship experience as well)

Mandatory (Experience 2): Must have experience of lead generation using channels like email, cold calling, Linkedin etc

Mandatory (Experience 3): Must have experience of prospecting/qualify leads by enriching data using tools like Apollo, ZoomInfo, Tracxn, Clay, Sales Navigator etc

Mandatory (Core Skills): Experience using CRM tools like HubSpot, Salesforce, Zoho CRM, Lead squared etc

Mandatory (Company): Early Stage B2B SaaS Companies (ed tech will also work)

Mandatory (Education): Must have graduated in 2019 or later

Mandatory (Age): Must not be older than 29 years.

Primary Skills

 Frontend framework ReactJS

 Pure JavaScript, jQuery

 Bootstrap, HTML5, CSS, SASS

 Passionate about implementing UX\UI of web applications

 Understanding of Web Accessibility Standards (WCAG)

Job Title: PHP (Laravel) Developer

Experience: 2 to 7 years

Skills:

PHP : Laravel, (MVC)

Database: MySQL

{(added Advantage)

Database : Mongo DB

Server Hosting : – AWS (Knowledge of EC2, S3, RDS & Route53)

Good to have experience in ReactJS, NodeJS, VueJS}

Communication skills: Must have good in communication

.

Requirements:

Understanding of MVC design patterns

Basic understanding of front-end technologies, such as JavaScript, HTML5, and

CSS3

Knowledge of object oriented PHP programming

In-depth knowledge of object-oriented PHP 7.x and Laravel 5/6+ PHP Framework

Experience with MVC, Entity Framework, Web form, Web API and business layer

and

front-end technologies

Creating database schema that represent and support business processes

Familiarity with SQL/NoSQL databases and their declarative query languages

In-depth knowledge of Git,Bitbucket and related pipeline for Continues integration

and

Continues deployment

Creative and efficient problem solving capability

Understanding of Agile development process

Developing rich and complex web applications in an efficient manner so that the

applications let the user interact with the site or application smoothly.

Ability to understand technical documents like SRS, Design Document & Wireframes.

Personal Specifications –

- Proficiency in written and spoken English(must)

- Understanding of project development methodologies like Agile is preferred.

- Understand team development/Source code control

Job Description - Sr Azure Data Engineer

Roles & Responsibilities:

1. Hands-on programming in C# / .Net,
2. Develop serverless applications using Azure Function Apps.
3. Writing complex SQL Queries, Stored procedures, and Views. 
4. Creating Data processing pipeline(s).
5. Develop / Manage large-scale Data Warehousing and Data processing solutions.
6. Provide clean, usable data and recommend data efficiency, quality, and data integrity.

Skills

1. Should have working experience on C# /.Net.
2. Proficient with writing SQL queries, Stored Procedures, and Views
3. Should have worked on Azure Cloud Stack.
4. Should have working experience ofin developing serverless code.
5. Must have MANDATORILY worked on Azure Data Factory.

Experience 

1. 4+ years of relevant experience

• You will be responsible for design, development and testing of Products
• Contributing in all phases of the development lifecycle

• Writing well designed, testable, efficient code
• Ensure designs are in compliance with specifications

• Prepare and produce releases of software components

• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review

• Some of the technologies you will be working on: Core Java, Solr, Hadoop, Spark, Elastic search, Clustering, Text Mining, NLP, Mahout and Lucene etc.

• Plan and execute all digital marketing, including SEO/SEM, marketing database, email, social media and display advertising campaigns
• Design, build and maintain our social media presence
• Measure and report performance of all digital marketing campaigns, and assess against goals (ROI and KPIs)
• Identify trends and insights, and optimize spend and performance based on the insights
• Brainstorm new and creative growth strategies
• Plan, execute, and measure experiments and conversion tests
• Collaborate with internal teams to create landing pages and optimize user experience
• Utilize strong analytical ability to evaluate end-to-end customer experience across multiple channels and customer touch points
• Instrument conversion points and optimize user funnels
• Collaborate with agencies and other vendor partners
• Evaluate emerging technologies. Provide thought leadership and perspective for adoption where appropriate
  
  

Requirements

• Bachelor’s degree in Marketing or relevant field.
• In-depth knowledge of various social media platforms, best practices, and website analytics.
• Solid understanding of HTML, CSS, and JavaScript is required.
• Highly creative with excellent analytical abilities.
• Outstanding communication and interpersonal skills.
• Up-to-date on the latest trends and technologies in digital marketing.