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Job Description
Machine Learning Engineer — Computer Vision
Futuresoft India · Location: Remote/Onsite (as per employer)
Responsibilities
- Develop, train, and optimize machine learning models for Computer Vision applications.
- Deploy ML solutions on CPU and GPU-based cloud servers (primarily Microsoft Azure).
- Enhance AI application performance and scalability.
- Collaborate with cross-functional teams to integrate ML models into production systems.
- Monitor, maintain, and troubleshoot deployed models.
- Maintain detailed documentation of development and deployment processes.
Required Qualifications & Skills
- Education: Bachelor’s or Master’s degree in Computer Science, Machine Learning, or related field.
- Experience: 2–3 years in ML and Computer Vision projects.
Languages & Tools
- Programming: Python, NumPy, Pandas, OpenCV, Scikit-learn
- Frameworks: TensorFlow, PyTorch, Keras
- MLOps & Cloud: Docker, Kubernetes, MLflow, Microsoft Azure
- Knowledge of Natural Language Processing (NLP) is a plus.
Key Skills
AI · Machine Learning · Computer Vision · Python · Deep Learning · TensorFlow · PyTorch · NLP · OpenCV · MLOps · Azure
How to Apply
📩 Send your updated resume to
[email protected]
📞 Contact: +91-8800196569
Disclaimer
The above job details are based on publicly available information. Please verify with the employer or company directly to confirm the job’s availability before applying. We do not guarantee the continued existence of this listing.
Key Skills
Python
NumPy
Pandas
OpenCV
Scikit-learn
TensorFlow
PyTorch
Keras
Docker
Kubernetes
MLflow
Microsoft Azure
MySQL
Work from Home
| Job | Salary | Link |
|---|---|---|
| Python Developer | Not Disclosed | view |
| Business Analyst | Not Disclosed | view |
| Data Science & Analytics | 4-6.5 L | view |
| Software & QA | 4 - 8 LPA | view |
| Python Developer | 3.5 - 7 LPA | view |
| ML Engineer | 25-30 LPA | view |
| Machine Learning Engineer | Not Disclosed | view |
| Python Developer Backend | Not Disclosed | view |
| Software Development Engineer | Not Disclosed | view |
| Generative AI | Not Disclosed | view |
| Data Scientist | Not Disclosed | view |
| Django-Flask Developer | Not Disclosed | view |
| Investment Management Analyst | 3- 10LPA | view |
| Business Analyst | Not Disclosed | view |
| Software & QA | Not Disclosed | view |
| Python Developer | 4 - 8 LPA | view |
| Python Developer | 2-4 LPA | view |
| Sales Executive | 1 - 2.75 LPA | view |
| Field Service Engineers | Not Disclosed | view |
Guide for Attending Interviews
1. Research the Company
Even if the interview feels spontaneous, take a few minutes to understand the company’s background, its services, and the position you're applying for. It shows you're serious and allows you to give more relevant answers.
2. Dress Appropriately
First impressions count. Choose formal, tidy attire that matches the professional setting. Ensure your hair is well-groomed, shoes are clean, and accessories are minimal to reflect your professionalism.
3. Bring All Required Documents
Make sure to carry: Multiple copies of your updated resume Passport-sized photos Academic certificates Work experience letters (if applicable) A valid government ID.
4. Arrive Early
Getting to the venue before the scheduled time allows you to relax, observe the setting, and mentally prepare. It also shows respect for the interviewers’ time.
5. Prepare a Strong Introduction
Craft a brief and confident self-introduction. Be ready to explain your skills, career objectives, and what value you can bring to the organization.
6. Be Confident and Respectful
Use good eye contact, greet confidently, and stay calm throughout the discussion. Show confidence with humility—being respectful and attentive leaves a strong impression.
7. Send a Follow-Up Note
If you receive a contact email or business card, take the initiative to send a short thank-you note. It highlights your professionalism and continued interest in the job.
Top Sales Interview Questions with Insightful Answers & Strategies
1. Can you tell us about your background in sales and some of your key accomplishments?
What the interviewer is looking for: A proven track record and measurable outcomes.
How to answer: Talk about past roles, targets achieved, awards won, and quantify your impact (e.g., revenue growth or account expansion).
Alternate ways they may ask:
- “What are your major wins in previous sales roles?”
- “Share a standout sales success and what led to it.”
2. What’s your approach to selling?
What they want to assess: Compatibility with company sales strategy and methods.
How to answer: Walk through your process from lead generation to closing. Mention adaptability and logic in scenarios like “Sell me this pen.”
- “Walk us through your usual sales routine.”
- “How do you adjust your strategy depending on the industry or client?”
3. How do you create strong relationships with prospective clients?
What the interviewer wants to know: Your ability to build trust and rapport.
How to answer: Personalize communication, show empathy, and consistently follow up. Share turnaround stories if possible.
- “How do you earn client trust?”
- “Give an example of building rapport with a difficult client.”
4. Walk us through your full sales cycle—from first contact to closing.
Why they’re asking: To assess your understanding of the sales process.
How to answer: Explain each stage: prospecting, qualifying, pitching, handling objections, closing. Include tools and organization strategies.
- “How do you manage your pipeline?”
- “Describe your process for turning a cold lead into a closed deal.”
5. How do you deal with rejection and objections?
What they want to see: Emotional resilience and adaptability.
How to answer: Mention how you anticipate objections, dig into the client’s concerns, and adjust your pitch. Focus on learning and persistence.
- “What do you say when a customer is hesitant?”
- “Have you ever turned a ‘no’ into a ‘yes’? How?”
6. What motivates you to work in sales?
What they’re really asking: Whether you have the internal drive to succeed.
How to answer: Talk about what excites you—closing deals, solving problems, financial incentives, or relationship-building.
- “Why did you choose sales as a career path?”
- “What keeps you energized when things get tough?”
7. How do you manage your time and prioritize your leads?
Purpose of the question: Assess time management and focus skills.
How to answer: Describe your use of CRMs, lead scoring, and daily/weekly planning to focus on high-value tasks.
- “How do you balance different sales tasks?”
- “How do you make sure you're focused on high-value opportunities?”
8. What experience do you have with prospecting and cold calling?
What they want to learn: Comfort and success in initiating contact with leads.
How to answer: Share your prospecting methods, success metrics, and tools/scripts used. Mention any standout stories.
- “What’s your approach to reaching out to new leads?”
- “Tell me about a cold call that turned into a sale.”
9. Can you walk us through a successful sales pitch you delivered?
What they’re seeking: Persuasive communication skills and ability to solve client problems.
How to answer: Describe the client, their pain points, your tailored pitch, and the final outcome.
- “What makes your pitch effective?”
- “How do you adapt your pitch for different clients?”
10. How do you perform under pressure and hit sales targets?
Why it’s important: Sales is results-driven and deadline-oriented.
How to answer: Talk about a high-pressure scenario, how you prioritized, stayed focused, and delivered results.
- “Tell me about a time you worked under pressure.”
- “How do you manage competing priorities and still hit your numbers?”
11. What’s your experience with CRM tools?
What this tells them: Whether you’re organized and tech-savvy.
How to answer: List tools used (Salesforce, Zoho, etc.), tasks managed with them, and how they boosted productivity. Mention tech learning ability if relevant.
- “Have you ever used a CRM to close a deal?”
- “How do you use CRMs to manage follow-ups and pipelines?”