Partner Acquisition Coordinator | Mandarin

Category: Software Development

Type: Internship (Remote)

Location: Remote (India)

Time Zone: GMT+05:30 (Asia/Kolkata)

Experience Range: 2 - 4 years (preferred)

Salary: ₹0L - ₹20L per year (based on skills & experience)

ESOPs Available: Yes

Job Description:

The Standard School of Machine Learning (TheSSML) is seeking a Generative AI Intern to work on cutting-edge AI research, model development, and applications in generative models. This is an exciting opportunity to gain hands-on experience in AI-driven content creation, large language models (LLMs), and deep learning-based image/video generation.

Key Responsibilities:

• Research and develop Generative AI models (GANs, VAEs, LLMs, Stable Diffusion).
• Fine-tune large language models (LLMs) for text generation and automation.
• Work on AI-based image, video, and audio generation using deep learning techniques.
• Optimize AI models for performance, scalability, and real-world applications.
• Collaborate with researchers and engineers to improve AI-based creative tools.
• Experiment with prompt engineering and prompt tuning for LLMs.
• Work with Google Vertex AI, AWS, or Azure AI to deploy models.

Must-Have Skills:

• Python, TensorFlow, PyTorch
• Machine Learning & Deep Learning (GANs, VAEs, Transformers)
• NLP & LLMs (GPT, BERT, Stable Diffusion, DALL·E)
• Data Preprocessing & Model Optimization
• Prompt Engineering & AI Content Creation

Good-to-Have Skills:

• Experience with MLOps and AI model deployment
• Knowledge of computer vision and multimodal AI models
• Familiarity with vector databases & retrieval-augmented generation (RAG)

Why Join Us?

• Work on real-world AI projects in a fast-paced research environment.
• Mentorship from industry experts in AI/ML.
• Opportunity to transition into a full-time role based on performance.

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:

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 (For day shifts), shift start hour will be after 7 PM and shift end hour before 10 AM (For night shift)

Mandatory Language Fluency: English, Hindi

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

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 3+ years of experience
• Working knowledge of Salesforce, spreadsheets (Excel, Google Sheets ) and powerpoint

Primary Skills: Database Systems (SQL), Python Flask/Fast API/Django frameworks specifically
Requirements:

• Highly proficient in fundamentals of Python web development frameworks like Flask, Django and Fast API
• Demonstrated experience in developing APIs using Python frameworks
• Should have deep knowledge in PostgreSQL, MS SQL Server and other SQL based Databases
• Knowledge and proficiency in NoSQL is a bonus

Job Responsibilities & Duties:

• Seminars for Career Guidance.
• Student counseling for career guidance.
• Advise students and parents about institute’s policies and procedures regarding admission, academics, and other activities.
• Maintain a database of student information, telephone logs and student feedbacks in order to generate student reports.
• Prepare reports and proposals, and respond to inquiries from students and external agencies.
• Tele calling to Potential Students for career guidance.
• Invite Potential Students for campus visit and admission Process (Entrance test, GDPI & Final Admission)
• Accepting and filtering student applications
• Processing student registration and payment
• Communicate with applicants about their application status, including acceptance/rejection
• Performs miscellaneous job-related duties as assigned.
• Content Development for E-Mails, Broachers & Websites

Minimum Job Requirements:

• Bachelor's degree; at least 3 year of experience directly related to the duties and responsibilities specified.
• Completed degree(s) from an accredited institution that are above the minimum education requirement may be substituted for experience on a year for year basis.

Knowledge, Skills and Abilities Required:

• Ability to develop and deliver presentations.
• Strong interpersonal and communication skills and the ability to work effectively with a wide range of constituencies in a diverse community.
• Ability to gather data, compile information, and prepare reports.
• Ability to communicate effectively, both orally and in writing.
• Knowledge of student admission and retention issues.
• Knowledge of the broad spectrum of available university academic units, curricula, and programs.
• Ability to develop, plan, and implement short- and long-term goals.
• Organizing and coordinating skills.
• Skill in the use of computerized systems and databases.
• Ability to design and write promotional material.
• Ability to evaluate student transcripts and/or records.
• Knowledge of Institute admissions policies, standards, and procedures.

Hii !! 

Greetings from MNR !! 

URGENT HIRING for Channel Management officer

location - Bangalore

Experience req.- Min. 6 months - 1 yr in channel sales

Roles and Responsibilities

 1 Revenue Generation & support to CP

2 Identification of opportunities for expansion and client management experience required

3 Monitor Franchisee are following company's branding policy

4 Timely support to CP to reach sales target

5 Franchisee Development - Network upkeep & Expansion

6 Proven track record of sales or channel sales in service industry

7 Team management and hands on excel is must

8 Customer focused

The interested candidate can pin me on WhatsApp

Must have his own two- wheeler (Field sales) and Preferred Industry - Logistics & Supply chain, Telecom, FMCG.

thanks & regards 

Neetu DHiman 

Responsibilities:

• Designing & Developing front-end architecture user interactions.
• Developing back-end web applications.
• Creating servers and databases for functionality.
• Ensuring cross-platform optimization for mobile phones.
• Ensuring responsiveness of applications.
• Working alongside graphic designers for web design features.
• Seeing through a project from conception to finished product.
• Designing and developing APIs.
• Meeting both technical and consumer needs.
• Staying abreast of developments in front applications and programming languages.

Requirements:

• Should have solid C# .Net development skills
• Having experience with Microsoft technologies (WPF, ASP.Net, MVC, WebAPI)
• Should good knowledge of JavaScript, HTML, CSS
• Should experience with SQL
• Positive team player, keen to work collaboratively and share ideas
• Good problem-solving skills.
• Attention to detail

• Manage sales operations in assigned district to achieve revenue goals.
• Supervise sales team members; the BSMs, on daily basis and provide guidance whenever needed.
• Identify skill gaps and conduct trainings to sales team.
• Work with team to implement new sales techniques to obtain profits.
• Assist in employee recruitment, promotion, retention and termination activities.
• Conduct employee performance evaluation and provide feedback for improvements.
• Contact potential customers and identify new business opportunities.
• Stay abreast with customer needs, market trends and competitors.
• Maintain clear and complete sales reports for management review.
• Build strong relationships with customers for business growth.
• Analyze sales performances and recommend improvements.
• Ensure that sales team follows company policies and procedures at all times.
• Develop promotional programs to increase sales and revenue.
• Plan and coordinate sales activities for assigned projects.

Role and Responsibilities

• Execute data mining projects, training and deploying models over a typical duration of 2 -12 months.
• The ideal candidate should be able to innovate, analyze the customer requirement, develop a solution in the time box of the project plan, execute and deploy the solution.
• Integrate the data mining projects embedded data mining applications in the FogHorn platform (on Docker or Android).

Core Qualifications
Candidates must meet ALL of the following qualifications:

• Have analyzed, trained and deployed at least three data mining models in the past. If the candidate did not directly deploy their own models, they will have worked with others who have put their models into production. The models should have been validated as robust over at least an initial time period.
• Three years of industry work experience, developing data mining models which were deployed and used.
• Programming experience in Python is core using data mining related libraries like Scikit-Learn. Other relevant Python mining libraries include NumPy, SciPy and Pandas.
• Data mining algorithm experience in at least 3 algorithms across: prediction (statistical regression, neural nets, deep learning, decision trees, SVM, ensembles), clustering (k-means, DBSCAN or other) or Bayesian networks

Bonus Qualifications
Any of the following extra qualifications will make a candidate more competitive:

• Soft Skills
  • Sets expectations, develops project plans and meets expectations.
  • Experience adapting technical dialogue to the right level for the audience (i.e. executives) or specific jargon for a given vertical market and job function.
• Technical skills
  • Commonly, candidates have a MS or Ph.D. in Computer Science, Math, Statistics or an engineering technical discipline. BS candidates with experience are considered.
  • Have managed past models in production over their full life cycle until model replacement is needed. Have developed automated model refreshing on newer data. Have developed frameworks for model automation as a prototype for product.
  • Training or experience in Deep Learning, such as TensorFlow, Keras, convolutional neural networks (CNN) or Long Short Term Memory (LSTM) neural network architectures. If you don’t have deep learning experience, we will train you on the job.
  • Shrinking deep learning models, optimizing to speed up execution time of scoring or inference.
  • OpenCV or other image processing tools or libraries
  • Cloud computing: Google Cloud, Amazon AWS or Microsoft Azure. We have integration with Google Cloud and are working on other integrations.
  • Decision trees like XGBoost or Random Forests is helpful.
  • Complex Event Processing (CEP) or other streaming data as a data source for data mining analysis
  • Time series algorithms from ARIMA to LSTM to Digital Signal Processing (DSP).
  • Bayesian Networks (BN), a.k.a. Bayesian Belief Networks (BBN) or Graphical Belief Networks (GBN)
  • Experience with PMML is of interest (see www.DMG.org).
• Vertical experience in Industrial Internet of Things (IoT) applications:
  • Energy: Oil and Gas, Wind Turbines
  • Manufacturing: Motors, chemical processes, tools, automotive
  • Smart Cities: Elevators, cameras on population or cars, power grid
  • Transportation: Cars, truck fleets, trains

About FogHorn Systems
FogHorn is a leading developer of “edge intelligence” software for industrial and commercial IoT application solutions. FogHorn’s Lightning software platform brings the power of advanced analytics and machine learning to the on-premise edge environment enabling a new class of applications for advanced monitoring and diagnostics, machine performance optimization, proactive maintenance and operational intelligence use cases. FogHorn’s technology is ideally suited for OEMs, systems integrators and end customers in manufacturing, power and water, oil and gas, renewable energy, mining, transportation, healthcare, retail, as well as Smart Grid, Smart City, Smart Building and connected vehicle applications.

Press:  https://www.foghorn.io/press-room/">https://www.foghorn.io/press-room/

Awards: https://www.foghorn.io/awards-and-recognition/">https://www.foghorn.io/awards-and-recognition/

• 2019 Edge Computing Company of the Year – Compass Intelligence
• 2019 Internet of Things 50: 10 Coolest Industrial IoT Companies – CRN
• 2018 IoT Planforms Leadership Award & Edge Computing Excellence – IoT Evolution World Magazine
• 2018 10 Hot IoT Startups to Watch – Network World. (Gartner estimated 20 billion connected things in use worldwide by 2020)
• 2018 Winner in Artificial Intelligence and Machine Learning – Globe Awards
• 2018 Ten Edge Computing Vendors to Watch – ZDNet & 451 Research
• 2018 The 10 Most Innovative AI Solution Providers – Insights Success
• 2018 The AI 100 – CB Insights
• 2017 Cool Vendor in IoT Edge Computing – Gartner
• 2017 20 Most Promising AI Service Providers – CIO Review

Our Series A round was for $15 million.  Our Series B round was for $30 million October 2017.  Investors include: Saudi Aramco Energy Ventures, Intel Capital, GE, Dell, Bosch, Honeywell and The Hive.

About the Data Science Solutions team
In 2018, our Data Science Solutions team grew from 4 to 9.  We are growing again from 11. We work on revenue generating projects for clients, such as predictive maintenance, time to failure, manufacturing defects.  About half of our projects have been related to vision recognition or deep learning. We are not only working on consulting projects but developing vertical solution applications that run on our Lightning platform, with embedded data mining.

Our data scientists like our team because:

• We care about “best practices”
• Have a direct impact on the company’s revenue
• Give or receive mentoring as part of the collaborative process
• Questions and challenging the status quo with data is safe
• Intellectual curiosity balanced with humility
• Present papers or projects in our “Thought Leadership” meeting series, to support continuous learning