Car Sales executive

Required Skills:

• Must have experience on VC++ / C++ application programming, Visual Studio.
• Should have thorough knowledge in OOPS (Object-Oriented Programming) concept.
• Should have a strong technical background on Windows or Linux
• Should be familiar with MFC, STL, COM, Multi-threading, Socket programming, Data structures.
• Candidates with Financial domain /capital market experience would be an added advantage.

Job Description: 

Machine Learning / AI Engineer (with 3+ years of experience)

We are seeking a highly skilled and passionate Machine Learning / AI Engineer to join our newly established data science practice area. In this role, you will primarily focus on working with Large Language Models (LLMs) and contribute to building generative AI applications. This position offers an exciting opportunity to shape the future of AI technology while charting an interesting career path within our organization.

Responsibilities:

1. Develop and implement machine learning models: Utilize your expertise in machine learning and artificial intelligence to design, develop, and deploy cutting-edge models, with a particular emphasis on Large Language Models (LLMs). Apply your knowledge to solve complex problems and optimize performance.

2. Building generative AI applications: Collaborate with cross-functional teams to conceptualize, design, and build innovative generative AI applications. Work on projects that push the boundaries of AI technology and deliver impactful solutions to real-world problems.

3. Data preprocessing and analysis: Collect, clean, and preprocess large volumes of data for training and evaluation purposes. Conduct exploratory data analysis to gain insights and identify patterns that can enhance the performance of AI models.

4. Model training and evaluation: Develop robust training pipelines for machine learning models, incorporating best practices in model selection, feature engineering, and hyperparameter tuning. Evaluate model performance using appropriate metrics and iterate on the models to improve accuracy and efficiency.

5. Research and stay up to date: Keep abreast of the latest advancements in machine learning, natural language processing, and generative AI. Stay informed about industry trends, emerging techniques, and open-source libraries, and apply relevant findings to enhance the team's capabilities.

6. Collaborate and communicate effectively: Work closely with a multidisciplinary team of data scientists, software engineers, and domain experts to drive AI initiatives. Clearly communicate complex technical concepts and findings to both technical and non-technical stakeholders.

7. Experimentation and prototyping: Explore novel ideas, experiment with new algorithms, and prototype innovative solutions. Foster a culture of innovation and contribute to the continuous improvement of AI methodologies and practices within the organization.

Requirements:

1. Education: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Relevant certifications in machine learning, deep learning, or AI are a plus.

2. Experience: A minimum of 3+ years of professional experience as a Machine Learning / AI Engineer, with a proven track record of developing and deploying machine learning models in real-world applications.

3. Strong programming skills: Proficiency in Python and experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, pandas). Experience with cloud platforms (e.g., AWS, Azure, GCP) for model deployment is preferred.

4. Deep-learning expertise: Strong understanding of deep learning architectures (e.g., convolutional neural networks, recurrent neural networks, transformers) and familiarity with Large Language Models (LLMs) such as GPT-3, GPT-4, or equivalent.

5. Natural Language Processing (NLP) knowledge: Familiarity with NLP techniques, including tokenization, word embeddings, named entity recognition, sentiment analysis, text classification, and language generation.

6. Data manipulation and preprocessing skills: Proficiency in data manipulation using SQL and experience with data preprocessing techniques (e.g., cleaning, normalization, feature engineering). Familiarity with big data tools (e.g., Spark) is a plus.

7. Problem-solving and analytical thinking: Strong analytical and problem-solving abilities, with a keen eye for detail. Demonstrated experience in translating complex business requirements into practical machine learning solutions.

8. Communication and collaboration: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to diverse stakeholders

• Collaborate, brainstorm, and strategize with multiple teams or clients for a wide range of materials that may include web pages, presentations, programming collateral, signage, internal communication, newsletters, and marketing materials
• Translate strategic direction into high-quality design within an established brand identity
• Develop concepts by hand or with software, and execute original content determining ideal usage of color, text, font style, imagery, and layout
• Manage the design and uploading process of all project material, understanding best practices for using a content management system
• Use trend intelligence and an understanding of the current and historical business and market to design and execute specific classifications

skills and qualifications

• Exceptional creativity and innovative design skills
• 3+ years’ experience (academic and professional) with design software, including Illustrator, InDesign, Photoshop, Canva, etc.
• Proven experience with graphic design, strong portfolio of work
• Excellent communication and presentation skills
• Organizational and time-management skills for meeting deadlines in a fast-paced environment

• Responsible for end-to-end architecture of new products – Concepts, Architecture, Design & Delivery, Roll-out and Customer Success.
• Lead, manage, and mentor a team of 15+ internal engineers.
• Architect scalable, robust and cost-effective solutions in a cloud environment.
• Take complete ownership of the Non-Functional Requirements and in driving the technology road-map.
• Work with technical leaders in other groups like R&D, Marketing and Customer Service, etc. in understanding the pain points and work with the engineering leaders to address them Identify applications for new technologies and lead implementation.
• Help define and maintain principles, guidelines, reference architectures, standards, road maps, and patterns especially as they pertain to custom application development

About:-

ShareNest is India’s first technology-enabled, asset-light marketplace that makes second home ownership accessible, affordable and enjoyable for everyone. ShareNest's vision is to enrich lives by democratizing second home ownership, making it enjoyable and making it accessible for all. Our innovative co-ownership model is a unique combination of owning an aspirational, fully managed second home along with the benefit of financial upside from real estate investment.

Founded by the Business Head of India's first PropTech Unicorn, ShareNest has secured $1.5 million in a seed round from marquee investors, industry leaders and unicorn founders which will help build a base for the business to scale it to new heights.

Roles & Responsibilities:-

-Present, promote and sell service using solid opinions to prospective clients.

-Perform cost-benefit and needs analysis of existing/potential clients to meet their

needs.

-Establish, develop and maintain positive business and customer relationships.

-Reach out to customer leads through cold calling.

-Expedite the resolution of customer problems and complaints to maximize

satisfaction.

-Achieve agreed-upon sales targets and outcomes within schedule.

-Coordinate sales effort with team members and other departments.

-Keep abreast of best practices and promotional trends.

-Continuously improve through feedback Roles and Responsibilities

Desired Candidate Profile :

-Must be a Graduate

-Good communication skills

-Good Convincing Power

-Good Presentation skills

-Real Estate Sector is Preferred

Location - Mumbai