Digital Marketing

AI & ML (45 Days – Live Hands‑On)

Program Fee: ₹25,000

Duration: 45 Days

Mode: Hybrid (Online Sessions + Live Lab Access)

Eligibility: Freshers, Final‑Year Students, and Career Switchers

About the Internship

This intensive 45‑day internship program is designed for freshers who want to build strong, industry‑relevant skills in Cloud Infrastructure, Cybersecurity, and AI/ML model development. The program offers live production hands‑on training, allowing interns to work on real-world architectures, security workflows, and AI/ML deployments.

Participants will receive end‑to‑end exposure to modern cloud platforms, DevOps practices, security operations, and machine learning deployment, making them job‑ready for roles like:

• Cloud/Infra Engineer
• DevOps Engineer
• Security Analyst
• AI/ML Engineer
• Site Reliability Engineer (SRE)

Key Highlights

• 45 days of practical, mentor-led training
• Live production-style projects and deployments
• Hands‑on experience with:
• AWS / Azure Cloud
• Terraform, CI/CD, Docker, Kubernetes
• Security Hardening & IAM
• Python ML pipelines & model deployment
• Architect & deploy real systems using best practices
• Build portfolio-ready projects
• Receive an industry-recognized Internship Certificate

What You Will Learn

1️⃣ Cloud Infrastructure & DevOps

• Cloud fundamentals (AWS/Azure/GCP)
• Linux administration & scripting
• VPC, Subnets, Routing, NAT, Firewalls
• EC2 provisioning & autoscaling
• Load balancing & High Availability
• Terraform for Infrastructure as Code
• CI/CD pipelines using Jenkins / GitHub Actions
• Docker containerization & Kubernetes basics

2️⃣ Cybersecurity & Cloud Security

• IAM roles, policies, access control
• Server security & hardening
• SSL/TLS, encryption, key management
• Secure VPC & subnet design
• Threat detection & logging
• Secrets management
• Network segmentation & firewall best practices

3️⃣ AI & Machine Learning

• Python for ML
• Supervised and unsupervised algorithms
• Data preprocessing & model training
• Model evaluation & optimization
• Build ML inference APIs using FastAPI/Flask
• Containerize and deploy ML models to cloud
• Integrate monitoring for ML workflows

✅ Live Hands‑On Projects

Interns will work on real-world, production-grade projects such as:

• Deploy a secure 3‑tier web application on cloud
• Automate infra provisioning using Terraform
• Build CI/CD pipelines for automated deployments
• Harden servers & configure security groups, IAM
• Develop and deploy an ML model as a cloud API
• Create monitoring dashboards with Prometheus/Grafana
• End-to-end system deployment with logging and alerting

Each intern will complete a Capstone Project and present it during the final evaluation.

✅ Internship Deliverables

1. Internship Completion Certificate
2. 3+ Production‑level projects
3. GitHub portfolio with all code and deployments
4. Cloud & ML documentation
5. Resume enhancement and guidance
6. Career mentoring + interview preparation

✅ Who Should Apply

This internship is ideal for:

• Fresh graduates
• Final‑year engineering or IT students
• BSc, BCA, MCA, B.Tech learners
• Professionals switching careers to Cloud/DevOps/AI
• Anyone seeking hands‑on, real‑time industry experience

✅ Program Fee

₹25,000/- (includes training, labs, live‑project access, certificate, and mentorship)

✅ Certificate Provided

All participants will receive a verified Internship Certificate, including:

• Candidate Name
• Internship Duration & Dates
• Skills Covered
• Project Evaluation Score
• Authorized Signatory & Company Seal

Strong Enterprise B2B Sales Profile with focus on Apparel & Lifestyle Industry

Mandatory (Experience 1) -Must have a minimum 8+ years of sales experience, including 4+ years in Enterprise SaaS / B2B Tech Sales

Mandatory (Experience 2) - Must have experience in software selling (ERP, PLM,..) to large enterprise retail companies, preferably in Apparel, Lifestyle, or Fashion (Like Reliance Retail, Myntra, AJIO, etc)

Mandatory (Experience 3) - Must have experience in managing large deal sizes (minimum ₹40L ARR or above) and independently handling end-to-end sales cycles — from lead generation, demo coordination, negotiation, closure

Mandatory (Experience 4) - Must have experience selling to CXO / senior executive-level decision makers (e.g., CEOs, CIOs, COOs, CMOs) in large enterprise accounts

Mandatory (Tools) - Proficient in CRM tools (Salesforce / HubSpot / Zoho) and lead generation tools (LinkedIn Sales Navigator, Apollo, etc.) for sales pipeline management and data-driven sales planning

Mandatory (Skills) - Excellent communication, negotiation, and presentation skills, with the ability to articulate value propositions to senior stakeholders

Mandatory (Company) - B2B SaaS (Preferred Apparel, Lifestyle, or Fashion Industry)

🚨 We’re Hiring | Accounts Executive – Navi Mumbai Looking for an experienced Accounts Executive with strong exposure to construction industry accounting. ✅ Finalization of Balance Sheet ✅ GST & Income Tax Filing ✅ End-to-End Accounts & Finance ✅ Govt. Office Coordination 📍 Location: Navi Mumbai 💰 Salary: ₹80K – ₹1L per month Qualification : SEMI/dropout inter CA/Appeared

Experience:

Should have a minimum of 10-12 years of Experience.

Should have experience on Product Development/Maintenance/Production Support experience in a support organization

Should have a good understanding of services business for fortune 1000 from the operations point of view

Ability to read, understand and communicate complex technical information

Ability to express ideas in an organized, articulate and concise manner

Ability to face stressful situation with positive attitude

Any certification in regards to support services will be an added advantage

Education: BE, B- Tech (CS), MCA

Location: India

Primary Skills:

Hands on experience with OpenStack framework. Ability to set up private cloud using OpenStack environment. Awareness to various OpenStack services and modules

Strong experience with OpenStack services like Neutron, Cinder, Keystone, etc.

Proficiency in programming languages such as Python, Ruby, or Go.

Strong knowledge of Linux systems administration and networking.

Familiarity with virtualization technologies like KVM or VMware.

Experience with configuration management and IaC tools like Ansible, Terraform.

Subject matter expertise in OpenStack security

Solid experience with Linux and shell scripting

Sound knowledge of cloud computing concepts & technologies, such as docker, Kubernetes, AWS, GCP, Azure etc.

Ability to configure OpenStack environment for optimum resources

Good knowledge of security, operations in open stack environment

Strong knowledge of Linux internals, networking, storage, security

Strong knowledge of VMware Enterprise products (ESX, vCenter)

Hands on experience with HEAT orchestration

Experience with CI/CD, monitoring, operational aspects

Strong experience working with Rest API's, JSON

Exposure to Big data technologies ( Messaging queues, Hadoop/MPP, NoSQL databases)

Hands on experience with open source monitoring tools like Grafana/Prometheus/Nagios/Ganglia/Zabbix etc.

Strong verbal and written communication skills are mandatory

Excellent analytical and problem solving skills are mandatory

Role & Responsibilities

Advise customers and colleagues on cloud and virtualization topics

Work with the architecture team on cloud design projects using openstack

Collaborate with product, customer success, and presales on customer projects

Participate in onsite assessments and workshops when requested 

Provide subject matter expertise and mentor colleagues

Set up open stack environments for projects

Design, deploy, and maintain OpenStack infrastructure.

Collaborate with cross-functional chapters to integrate OpenStack with other services (k8s, DBaaS)

Develop automation scripts and tools to streamline OpenStack operations.

Troubleshoot and resolve issues related to OpenStack services.

Monitor and optimize the performance and scalability of OpenStack components.

Stay updated with the latest OpenStack releases and contribute to the OpenStack community.

Work closely with Architects and Product Management to understand requirement

should be capable of working independently & responsible for end-to-end implementation

Should work with complete ownership and handle all issues without missing SLA's

Work closely with engineering team and support team

Should be able to debug the issues and report appropriately in the ticketing system

Contribute to improve the efficiency of the assignment by quality improvements & innovative suggestions

Should be able to debug/create scripts for automation

Should be able to configure monitoring utilities & set up alerts

Should be hands on in setting up OS, applications, databases and have passion to learn new technologies

Should be able to scan logs, errors, exception and get to the root cause of the issue

Contribute in developing a knowledge base on collaboration with other team members

Maintain customer loyalty through Integrity and accountability

Groom and mentor team members on project technologies and work

Job Description: Speech Recognition Engineer

3 years of industry experience

Responsibility:

 Development of ASR engine using frameworks like ESPNET or FairSeq or Athena or

Deep Speech using PyTorch or Tensorflow

 Assist to define technology required for Speech to Text besides core engine

and to design integration of these technologies.

 Work on improvement of model's accuracy and guide the team with best practices.

Desired experience:

 Good understanding of machine learning(ML) tools.

 Should be well versed in classical speech processing methodologies like hidden

Markov models (HMMs), Gaussian mixture models (GMMs), Artificial neural

networks (ANNs), Language modeling, etc.

 Hands-on experience of current deep learning (DL) techniques like Convolutional

neural networks (CNNs), recurrent neural networks (RNNs), long-term short-term

memory (LSTM), connectionist temporal classification (CTC), etc used for

speech processing is essential.

 The candidate should have hands-on experience and any of the end-to-end

implementation of ASR tools such as ESPNET or FairSeq or Athena or Deep

Speech

 Hands-on PyTorch and Tensorflow experience is desirable.

 Experience in techniques used for resolving issues related to accuracy, noise,

confidence scoring etc.

 Ability to implement recipes using scripting languages like bash

 Ability to develop applications using python, c++, Java

 Knowledge of Transformer Models like BERT-base. ELMo, ULM-FIT

 Experience in CI/CD pipeline, MLOps processes

 Hands-on deployment experience using cloud applications like AWS, GCP

Location: Bangalore

Desirable Skills: ML, Knowledge of Speech Recognition frameworks such as ESPNET

or FairSeq or Athena or Deep Speech etc, Hands-on experience of deep learning (DL)

techniques like CNN, RNN, LSTM etc., AWS, GCP

About the company:

Betterhalf.ai

Betterhalf is on a mission to help Indians find their match with single click matching. With 1M users and a presence in every city in India, our reach is expansive — and we’re rapidly growing users (50% quarter over quarter).

By mid next year, we'd like to become the 3rd largest player in the matrimony industry in India and make our path to being No.1. There’s never been a more exciting time to be at Betterhalf.

Company funding:

Betterhalf.ai has successfully raised a $3M Pre-Series A round and is backed by Y Combinator, Tribe Capital, Quiet Capital, Kunal Shah and Nobroker founders. Betterhalf is expected to do Series A in 9-12 months.

Your growth:

You’ll experience Series A, B in 24-months and become integrated as a Category Manager

You’ll see a 50-people team becoming a 150-people and will grab the rarest opportunity to be in the room where company’s decisions are planned with founders and marketing leaders.

Responsibilities:

• Work closely with Product teams to plan & develop features and extensions to existing product lines.
• Analyze sales data & research market trends, customer needs to develop key insights & growth opportunities. This workstream may involve ad-hoc RCAs / interventions on escalations.
• Work closely with sell-side & marketing teams to promote & create awareness for product lines.
• Work closely with CM’s  on integrating growth products with new launches as well as working on specific deep-dives for existing brand partners.
• Identify & build growth capabilities & enablers that will drive significant growth on online sales in India. These growth opportunities could span across affordability, third party services, monetization, new customer acquisition, supply growth & onboarding.
  
  

Qualifications:

Bachelor's degree, 2+ years in sales industry

Experience in full sales cycle, including deal closing. 

Demonstrated sales success

Strong negotiation skills

Strong communication and presentation skills

CRM experience is preferred

Compensation:

Fixed : 40-50k Per Month

Variable: as per performance

If you believe in Hustling and Getting the Job Done! Come Join us in our ambitious journey to revolutionize the Matrimony Industry.

Causality Biomodels is an Indo-German life science informatics company that focuses on the development of data-based solutions in the bioinformatics sector. Specifically, we work using semantic integration & information extraction methods, knowledge & data organization, and advanced statistical & machine learning techniques in the context of life sciences.

The team Causality Biomodels is searching for a full stack developer with a strong focus on Python, capable of taking on a lead developer role.

You will be mainly focusing on the following areas:

• Implementing new features by modifying our backend system and UI according to the product backlog and discussions with the team.
• Rapid prototyping to explore new directions based on current research developments.
• Design, development and maintenance of APIs, as well as product and add-on components.
• Maintenance of code integrity and organization.

The requirements are:

• Successfully completed bachelor’s or master’s degree in computer science or in related fields such as Bioinformatics.
• At least 2 years of professional software engineering experience.
• High proficiency in Python and ability to write clean and well-documented code (must).
• Experience with cloud-based development using AWS (preferred), GCP or Azure.
• Experience with Docker and container-based deployment.
• Proficiency in JavaScript.
• Experience with at least one database system (SQL or no-SQL).
• High familiarity with Git.
• Experience with agile development practices.
• Experience with CI/CD and automated testing.
• Very strong English skills (both verbal and written).

Bonus points for:

• Knowledge about machine learning or data science.
• Experience with Python packages SpaCy, scikit-learn, flask and fastapi.
• Experience with JavaScript libraries React and Redux/Context.
• Experience with Gitlab CI/CD pipelines.
• Experience working with knowledge graph data.
• Knowledge and experience in bioinformatics methods.

About Whitehat Jr

WhiteHat Jr was created to solve the #1 gap in our school system today. Today, in the computer age, less than 1% of schools teach algorithmic thinking despite research indicating early years as the turning point for deep coding skills. WhiteHat Jr prepares kids 5-12 for this new world. Kids learn both the fundamentals of coding--logic, sequence, structure, algorithmic thinking - and experience the joy of creative expression in building animations, games and apps using code.

About the role

We’re seeking a qualified Sales Manager to sell Whitehat Jr’s product that our customers have grown to rely on. The Sales Manager will utilise their skills to generate high quality leads, build a strong relationship with customers and close deals. The ideal candidate will be a quick learner with strong negotiating skills, and demonstrate the ability to showcase our offerings in a compelling way.

Role details (please read)

Scope: Exceed targets for New Sales, Referrals or Renewals, in an individual contributor role

Work Location: Remote online work until offices reopen, candidate may be based anywhere in India

Working days: 6 working days with 1 day-off which may be during week

Shifts (subject to change): shift start hour will be after 6 AM and shift end hour before 12 midnight

Mandatory Language Fluency: English, Hindi

Laptop/Wi-fi: candidates to use their own laptops, wi-fi will be reimbursed

Additional Compensation: If applicable, this will be decided basis your allocated shift after you join

Qualifications

• Proven B2C Sales track record of exceeding targets, >2 years of Sales experience

• Fluency in English and Hindi, ability and willingness to deliver in a high pressure environment

• Excellent communication, interpersonal, problem-solving, presentation, and organisational skills.

• Ability to counsel a parent for the child's future

• Comfortable with changing shift timings so that we may serve our customers better

• Graduation is not mandatory for candidates with minimum 6mnths of experience
• Graduation & MBA fresher can apply

• Working knowledge of Salesforce, spreadsheets (Excel, Google Sheets ) and powerpoint