
We’re Hiring: Pre-Sales Engineer 🚀
📍 Location: Navi Mumbai (Vashi) | 5 Days | WFO
🏢 Department: BMS (Building Management System)
What you’ll do:
- Provide technical expertise & support to sales teams
- Handle quotations, vendor coordination & customer solutions
- Ensure smooth order execution & sales growth
What we’re looking for:
✅ Engineering degree (Electrical/Electronics/Mechanical)
✅ 3–5 yrs experience in BMS / HVAC / ELV industry
✅ Strong technical & sales aptitude
✅ Excellent communication & teamwork skills
💼 Knowledge of PLC/DDC is a plus!

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2. Must be from B2B SAAS, MarTech or SalesTech but product based company only
3. Should be able to prepare pitch decks for the clients
4. 3 to 5 years of experience in a Solutions Consultant, Pre-Sales Engineer, Technical Consultant, or similar customer-facing technical role
5. Solid technical foundation with the ability to explain complex concepts clearly
6. Exceptional communication and presentation skills, with the ability to articulate value and technical information effectively
7. Should have handled RFPs and RFIs
8. Should have managed POCs/Sanboxes
9. Expereince between 3 to 6 years will only be considered. More than 6 years candidates are not applicable
Preferred companies to find candidate for this role - Cvent, Bizzabo, Airmeet, Hubilo, Hopin, vFairs, ON24, Goldcast, Webex Suite, BigMarker, Stova, Splash and EventMobi.
Job Title: AI/ML Engineer
Expereince: 5+ Years
Location: Remote
Responsbilities
Algorithm Development:
• Design and develop cutting-edge algorithms for solving complex business problems.
• Collaborate with cross-functional teams to understand business requirements and translate them into effective AI/ML solutions.
Content Customization:
• Implement content customization strategies to enhance user experience and engagement.
• Work closely with stakeholders to tailor AI/ML models for specific business needs.
Data Collection and Preprocessing:
• Develop robust data collection strategies to ensure the availability of high-quality datasets.
• Implement preprocessing techniques to clean and prepare data for model training.
Model Training and Evaluation:
• Utilize machine learning frameworks such as TensorFlow, Pytorch, and Scikit Learn for model training.
• Conduct rigorous evaluation of models to ensure accuracy and reliability.
Monitoring and Optimization:
• Implement monitoring systems to track the performance of deployed models.
• Continuously optimize models for better efficiency and accuracy.
Data Analytics and Reporting:
• Leverage statistical modelling techniques to derive meaningful insights from data.
• Generate reports and dashboards to communicate findings to stakeholders.
Documentation:
• Create comprehensive documentation for algorithms, models, and implementation details.
• Provide documentation for training, deployment, and maintenance procedures.
Skills:
- 6+ years of experience in AI/ML engineering.
- Proficiency in Python and machine learning frameworks (TensorFlow, Pytorch, Scikit Learn).
- Experience in Natural Language Processing (NLP) and Computer Vision.
- Expertise in Generative AI techniques.
- Familiarity with cloud platforms such as Azure and AWS.
- Strong background in statistical modelling and content customization.
- Excellent problem-solving skills and ability to work independently.
- Strong communication and collaboration skills
Job Title: Corporate Recruiter.
Location: Chembur, Goregaon.
Company: Jaro Education.
We are looking for a highly skilled and experienced HR Recruiter with a background in consultancy to join our team in Chembur, Mumbai. As an HR Recruiter, you will be responsible for sourcing, screening, and interviewing candidates for various positions within the organization.
Key Responsibilities:
>Source and attract qualified candidates through various recruitment channels such as job portals, social media, and professional networks.
>Screen resumes, conduct initial phone screens, and schedule in-person interviews.
>Coordinate with hiring managers to understand their needs and requirements for each role.
>Manage the entire recruitment process from sourcing to onboarding.
>Maintaining a strong candidate pipeline for future opportunities.
Qualifications:
>Minimum 2-3 years of experience in recruitment. (consultancy background)
>Strong understanding of Non-IT recruitment processes.
>Excellent verbal and written communication skills.
>Proven ability to work in a fast-paced and deadline-driven environment.
>Strong knowledge of job portals.
Salary as per Company standards, benefits, and a great work environment. If you are passionate about recruitment and have a proven track record of success, we want to hear from you! Apply now and let's build a great team together!
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- Back-testing investment appraisal models at regular intervals to improve the same
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- Working closely with the business and the technology team to ensure the portfolio is performing as per internal benchmarks and that relevant checks are put in place at various stages of the investment lifecycle
- Identifying relevant sub-sector criteria to score and rate investment opportunities internally
Desired Candidate Profile
What you need to have:
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- Previous experience in credit rating or credit scoring or investment analysis (preferred)
- Prior exposure to working on data-led models on payment gateways or accounting systems (preferred)
- Proficiency in data analysis (preferred)
- Good verbal and written skills
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- Must have experience in Python (FLASK framework).
- Have Deep understanding of how RESTful APIs work.
- Familiar with various design and architectural patterns that can work at scale.
- Sound knowledge of NoSQL/SQL Databases (Mongo DB preferred).
- Strong experience with at-Cloud technology, preferably AWS or GCP or Azure.
- Core experience in developing complex backend systems.
- Communicating complex technical concepts to both technical and non-technical audiences.
- Passionate about application scalability, availability, reliability, and security.
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Responsibilities
Working with Big Data tools and frameworks to provide requested capabilities Identify development needs in order to improve and streamline operations Develop and manage BI solutions Implementing ETL process and Data Warehousing Monitoring performance and managing infrastructure
Skills
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