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

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EXCITED ABOUT YOUR TASKS?
● Liaise with clients to understand role requirements to source the most suitable candidates
● Source, screen and compile a shortlist of qualified candidates for various technical roles
● Screen the candidates to ensure we put forward the best quality candidates to clients
● Recruit senior IT profiles, with a focus on functional expertise
●Communicate with hiring managers to understand vacancy requirements fully
● Establish a strategy to deliver suitable candidates on time
● Build and develop relationships with both clients and candidates to provide a high level of client and candidate service
● Connect and coordinate with external vendors to support hiring needs
● Serve the business at a very deep and high touch level
WHAT WILL YOU NEED TO SUCCEED?
● 3+ year of full life-cycle IT Recruiting Experience, in either an agency or corporate setting
● Familiarity with different selection methods (screening, interviews, assignments)
● Excellent follow-up skills and ability to work independently and collaboratively in a hands-on, fast-paced environment with a high degree of ambiguity
● Must have Strong Knowledge of IT Technologies and skills
● Experience in handling multiple vendors.
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● MBA in human resources or similar relevant field
Job Description: Training & Development Manager
Location: Sonipat
Industry: Manufacturing / Textiles /Paper Printing & Packaging
Experience Required: 08-10 years
Maximum Salary: As per industry standards
Job Summary:
The Training and Development Manager is responsible for assessing organizational needs, designing, implementing, and managing training programs that enhance the skills, performance, productivity, and quality of work for all employees. This role plays a key part in employee development, succession planning, and overall workforce capability building.
Key Responsibilities:
· Develop and implement a comprehensive training & development strategy aligned with business goals.
· Responsible of classroom and on the Job Training of new workers.
· Responsible to refresher training of workers & staff.
· Identify training and development needs through job analysis, performance appraisals, and regular consultation with department heads.
· Design and deliver effective training programs for various skill levels (e.g., onboarding, technical skills, leadership development).
· Collaborate with subject matter experts and operations team to ensure training aligns with production needs and develop training content.
· Develop and implement employee training programs to enhance skills and increase productivity.
· Evaluate program effectiveness and gather feedback HOD.
· Review, design and implement employee Induction & Orientation program in the MF group.
· Setting up Worker Up-skilling & Development Centers
· Where criteria of new worker hiring will be made
· Initial training period will be defined with detailed training program
· Viva test and core skill test to be conducted
· Job Assignment/ Fitment sheet to be published based on the skill set before handing over the worker at production floor
· Regular assessment of new workers at Fortnightly/ monthly and quarterly basis to ensure their engagement and contribution levels
· Improving retention of the workers through various programs
· For existing work force, skill matrix to be made and training needs identification on the basis of that
· Up-skilling the workers by improving their score in their skill matrix chart
· Setting up appraisal system for workers
Education:
Bachelor degree in Human Resources/ B.Tech (Textile)/or a related field.
Skills Required:
· Excellent interpersonal, communication, and presentation abilities
· Analytical mindset with ability to assess training needs and measure effectiveness
· Experience in designing instructional content and managing end-to-end training programs.
· Proficiency with Learning Management Systems (LMS) and e-learning tools.
· Knowledge of software and tools like CANVA, articulate, Vyond
Mail updated resume with current salary:
Email; etalenthire[at]gmail[dot]com
Satish: 88O 27 49 743
At Bhanzu, our mission is to make math engaging, sparking curiosity and confidence in young learners. Bhanzu has successfully raised a $16.5M Series B funding round, led by Epiq Capital, with support from Z3Partners! We are changing the way math is learned and are blossoming into India's leading math education company, positively impacting students across 15+ countries. Through Bhanzu, we aim to eradicate Math Phobia across this globe, and enable our students to pursue careers in Stem Fields, Coding, Analytics, AI and much more by ensuring their core math fundamentals are strong.
About the Founder & CEO - Neelakantha Bhanu:
- Neelakantha Bhanu Prakash is the world's fastest human calculator and India’s mental math Olympic Gold Medalist. Alongside holding four world records and 50 Limca book records, Mr.Bhanu is also a TEDx speaker and educator. He believes that the skill he has been gifted with can be passed on and taught using the right methodology and initiates in the same direction. Giving his vision of completely eradicating Math phobia a headstart Mr.Bhanu has led numerous projects for developing Arithmetic skills in students across the globe.
- He has addressed audiences across 23 countries at the CommonWealth Conclaves, Future city Summits, ISB, IITs, and Multiple other global institutions and meets about the importance of Arithmetic learning in the overall development of a child.
Responsibilities of the Candidate:
- Willing to familiarize yourself with the company's vision and mission seeking to accomplish set goals and objectives
- Collating and maintaining client information in the CRM database
- Make calls to clients and respond to callback requests
- Email & WhatsApp conversations with potential leads
- Make potential leads understand our courses
- Convert potential leads into customers
- Learning & using our customer relations management software & others
- Related computer software
Requirements:
- Excellent written and verbal communication skills (English & Hindi)
- Ability to work under pressure
- Laptop is mandatory
- Must be graduated
- Willing to work in a startup environment (fast-paced)
- No. of days Working: 6 (Rotational off MON- FRI & Sat and Sun Compulsory working)
- If from other states of India must be willing to relocate in Bangalore
ML Engineer
HackerPulse is a new and growing company. We help software engineers showcase their skills using AI powered profiles. As a Machine Learning Engineer, you will have the opportunity to contribute to the development and implementation of advanced Machine Learning (ML) and Natural Language Processing (NLP) solutions. You will play a crucial role in taking the innovative work done by our research team and turning it into practical solutions for production deployment. By applying to this job you agree to receive communication from us.
*Make sure to fill out the link below*
To speed up the hiring process, kindly complete the following link: https://airtable.com/appcWHN5MIs3DJEj9/shriREagoEMhlfw84
Responsibilities:
- Contribute to the development of software and solutions, emphasizing ML/NLP as a key component, to productize research goals and deployable services.
- Collaborate closely with the frontend team and research team to integrate machine learning models into deployable services.
- Utilize and develop state-of-the-art algorithms and models for NLP/ML, ensuring they align with the product and research objectives.
- Perform thorough analysis to improve existing models, ensuring their efficiency and effectiveness in real-world applications.
- Engage in data engineering tasks to clean, validate, and preprocess data for uniformity and accuracy, supporting the development of robust ML models.
- Stay abreast of new developments in research and engineering in NLP and related fields, incorporating relevant advancements into the product development process.
- Actively participate in agile development methodologies within dynamic research and engineering teams, adapting to evolving project requirements.
- Collaborate effectively within cross-functional teams, fostering open communication and cooperation between research, development, and frontend teams.
- Actively contribute to building an open, transparent, and collaborative engineering culture within the organization.
- Demonstrate strong software engineering skills to ensure the reliability, scalability, and maintainability of deployable ML services.
- Take ownership of the end-to-end deployment process, including the deployment of ML models to production environments.
- Work on continuous improvement of deployment processes and contribute to building a seamless pipeline for deploying and monitoring ML models in real-world applications.
Qualifications:
- Degree in Computer Science or related discipline or equivalent practical experience, with a strong emphasis on machine learning and natural language processing.
- Proven experience and in-depth knowledge of ML techniques, with a focus on implementing deep-learning approaches for NLP tasks in the context of productizing research goals.
- Ability to apply engineering best practices to make architectural and design decisions aligned with functionalities, user experience, performance, reliability, and scalability in the development of deployable ML services.
- Substantial experience in software development using Python, Java, and/or C or C++, with a particular emphasis on integrating machine learning models into production-ready software solutions.
- Demonstrated problem-solving skills, showcasing the ability to address complex situations effectively, especially in the context of improving models, data engineering, and deployment processes.
- Strong interpersonal and communication skills, essential for effective collaboration within cross-functional teams consisting of research, development, and frontend teams.
- Proven time management skills to handle dynamic and agile development situations, ensuring timely delivery of solutions in a fast-paced environment.
- Self-motivated contributor who frequently takes initiative to enhance the codebase and share best practices, contributing to the development of an open, transparent, and collaborative engineering culture.
SPAY FINTECH PVT LTD is looking for a talented [Banking Alliancer] to join our growing Banking Alliance team!
*About SPAY FINTECH PVT LTD*
SPAY FINTECH PVT LTD is a leading provider of innovative payment solutions in India. We are committed to empowering businesses and individuals with secure, convenient, and affordable financial services.
*About the Banking Alliance team*
The Banking Alliance team is responsible for building and fostering relationships with key banking partners to expand our reach and offer our services to a wider audience.
*About the role*
In this role, you will be responsible for:
* Developing and maintaining strong relationships with banking partners
* Negotiating and finalizing agreements with banks
* Managing the onboarding and integration of new banking partners
* Supporting the ongoing maintenance and optimization of existing partnerships
* Identifying and analyzing new partnership opportunities
* Contributing to the development and execution of the Banking Alliance strategy
*Qualifications*
* Proven experience in relationship management, preferably within the financial services industry
* Strong understanding of the Indian banking landscape and regulatory environment
* Excellent communication, negotiation, and interpersonal skills
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*Benefits*
* Competitive salary and benefits package
* Opportunity to work in a fast-paced and dynamic environment
* Be part of a team that is making a real difference in the financial services industry
Regards
Harsh Porwal
harsh at spay.live
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1. Strong knowledge in Front end scripting like EJS, JavaScript, Jquery
2. Proficiency with fundamental front-end languages such as HTML, CSS.
3. Familiarity with JavaScript frameworks such as Angular JS, React, and Amber.
4. Proficiency with server-side languages such as Python / Ruby / Java / PHP/ .Net
5. Good Understand with database technology such as MySQL, Oracle, and MongoDB.
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- Conduct employee performance evaluation and provide feedback for improvements.
- Contact potential customers and identify new business opportunities.
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- 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.
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