11+ Decision trees Jobs in Mumbai | Decision trees Job openings in Mumbai

Job Description

We are looking for an experienced engineer to join our data science team, who will help us design, develop, and deploy machine learning models in production. You will develop robust models, prepare their deployment into production in a controlled manner, while providing appropriate means to monitor their performance and stability after deployment.

What You’ll Do will include (But not limited to):

• Preparing datasets needed to train and validate our machine learning models
• Anticipate and build solutions for problems that interrupt availability, performance, and stability in our systems, services, and products at scale.
• Defining and implementing metrics to evaluate the performance of the models, both for computing performance (such as CPU & memory usage) and for ML performance (such as precision, recall, and F1)
• Supporting the deployment of machine learning models on our infrastructure, including containerization, instrumentation, and versioning
• Supporting the whole lifecycle of our machine learning models, including gathering data for retraining, A/B testing, and redeployments
• Developing, testing, and evaluating tools for machine learning models deployment, monitoring, retraining.
• Working closely within a distributed team to analyze and apply innovative solutions over billions of documents
• Supporting solutions ranging from rule-bases, classical ML techniques  to the latest deep learning systems.
• Partnering with cross-functional team members to bring large scale data engineering solutions to production
• Communicating your approach and results to a wider audience through presentations

Your Qualifications:

• Demonstrated success with machine learning in a SaaS or Cloud environment, with hands–on knowledge of model creation and deployments in production at scale
• Good knowledge of traditional machine learning methods and neural networks
• Experience with practical machine learning modeling, especially on time-series forecasting, analysis, and causal inference.
• Experience with data mining algorithms and statistical modeling techniques for anomaly detection in time series such as clustering, classification, ARIMA, and decision trees is preferred.
• Ability to implement data import, cleansing and transformation functions at scale
• Fluency in Docker, Kubernetes
• Working knowledge of relational and dimensional data models with appropriate visualization techniques such as PCA.
• Solid English skills to effectively communicate with other team members

Due to the nature of the role, it would be nice if you have also:

• Experience with large datasets and distributed computing, especially with the Google Cloud Platform
• Fluency in at least one deep learning framework: PyTorch, TensorFlow / Keras
• Experience with No–SQL and Graph databases
• Experience working in a Colab, Jupyter, or Python notebook environment
• Some experience with monitoring, analysis, and alerting tools like New Relic, Prometheus, and the ELK stack
• Knowledge of Java, Scala or Go-Lang programming languages
• Familiarity with KubeFlow
• Experience with transformers, for example the Hugging Face libraries
• Experience with OpenCV

About Egnyte

In a content critical age, Egnyte fuels business growth by enabling content-rich business processes, while also providing organizations with visibility and control over their content assets. Egnyte’s cloud-native content services platform leverages the industry’s leading content intelligence engine to deliver a simple, secure, and vendor-neutral foundation for managing enterprise content across business applications and storage repositories. More than 16,000 customers trust Egnyte to enhance employee productivity, automate data management, and reduce file-sharing cost and complexity. Investors include Google Ventures, Kleiner Perkins, Caufield & Byers, and Goldman Sachs. For more information, visit www.egnyte.com

#LI-Remote

Position Requirements

• Expert in front-end development using Javascript, CSS, and Java.

• Hands-on experience in Java, J2EE, Hibernate, Springboot.

• Deep knowledge & working experience with Database, JSP, Javascript frameworks.

Technical Skills

• 4 years of experience in the software industry experience.

• Strong self-initiative to strive for both personal & technical excellence.

• Coordinate efforts across the Product development team and Business Analyst team.

• Strong business and data analysis skills.

• Should be strong on coordinating with onshore resources on the development.

Role - Relationship & Wealth Manager

About Client:

Our client is leading Indian investment services company having wide array of products and services such as distribution of mutual funds & insurance, equity and derivatives, commodity, PMS and financial planning.

Roles and Responsibilities:

- Acquire new clients, generate revenue, and maintain relationships with High-Net-Worth Individuals (HNI) and Ultra High Net Worth Individuals (UHNI), Corporate Treasuries.

- Enhance and build on Existing Bank tie-ups.

- Offer comprehensive wealth management services.

- Enhance the relationship value of existing customers.

- Ensure increased wallet share to prevent devaluation of securities.

- Analyze client portfolios, assess risk appetite, and provide tailored advice on wealth products.

Location: Mumbai, Pune, Hyderabad, Bangalore, Delhi, Chennai, Coimbatore, Kerala, Kolkata, Nashik.

Qualification:

- MBA Finance, CA, CS or with relevant work experience in managing Investment Products. (2 -15 years of experience)

- Proficiency related to wealth products (e.g., Mutual funds, PMS's, AIF's, Structured Products, Direct Equities, Offshore investments, Risk protection management solutions).

- Build and maintain an extensive external network to stay connected with clients.

- Demonstrate a service-oriented attitude, delivering smooth and superior service.

- Ability to analyse client data, market trends, and stay updated on current market conditions.

- Proven track record in sales, particularly in the private banking or wealth management sector.

- Strong interpersonal and communication skills.

- Relevant financial certifications or qualifications (e.g., CFP, CFA) is a plus.

- Knowledge of regulatory compliance in the financial services industry.

- Excellent organizational and time-management skills

Customer Success Executive Responsibilities:

• Visit & Manage client site.
• Sustain business growth and profitability by maximizing value.
• Provide assistance for using our product properly.
• Hold product demonstrations for customers.
• Verify whether the process is functioning properly.
• Handle and resolve customer requests and complaints.
• Minimize customer churn.

Customer Success Executive Requirements:

• Communications or marketing degree.
• Highly organized and able to multi-task.
• Self-driven and proactive nature.
• Excellent communication and interpersonal skills.
• Demonstrate leadership qualities.
• High computer literacy and ability to learn new software.
• Knowledge of customer success processes.
• Experience in document creation.
• Patient and active listener.
• Passion for service.

Why work for Flowace?

• Opportunity to grow the product 100x as the product is of world-class standards
• Freedom and flexibility to be a real leader, to ideate and implement strategies in real-time, without wasting time waiting for approvals
• Very healthy work environment and work-life balance
• Extremely collaborative and helpful team members to work with
• Employee engagement programs such as Fun Fridays, Wellness, and Community Building
• 5 days of hungry hustling and 2 days of absolute rejuvenation every week
• Once the DNA of Flowace goes into the blood, it will serve the candidate very well for his/her entire career and life, irrespective of how long he/she works at Flowace

Company Website - https://flowace.in/" target="_blank">https://flowace.in/

Field Sales, Revenue 💵 - PagarBook
( Temporary fulltime )

About Pagarbook:

1. Employee Management at your Fingertips. PagarBook - India's Best Payroll

and Attendance

2. Management tool for Small & Medium Enterprises. Using PagarBook, a

business owner can maintain all the records of their employees digitally

and can get insights around the same.

3. PagarBook is free & easy to use employee management, work & payroll

management software app where you can manage all your staff and

employee’s attendance, record the work done by your staff and employees

and their salary, payments & advances can also be recorded in this app.

4. Sms & WhatsApp notification to employees and staff about payments,

bonuses, daily work, attendance & leaves.

5. The Sales would be done for premium desktop version of the application

6. Benefits of desktop application:

a. Better and Easier accessibility, also available on mobile web

b. Access to rich reports which gives you business knowledge, spend

c. Unlimited free upgrades for a year

About Sales team:

The field sales team at PagarBook is all about solving SME’s customer problems

and ensuring we deliver compelling value propositions.

On a typical day, the sales team:

● drives the adoption of a premium version of Pagarbook, sold at a

subscription fee per annum

● never-say-no attitude, and comes with a win-all attitude

● At the same time, a core ingredient of the DNA is customer empathy

● We should always ensure the customer is well informed of all the benefits of

the solution, before we close the sales.

Responsibilities and Duties of sales associate:

● You will pitch about PagarBook desktop solution on field to customers

● You will explain the benefits of PagarBook desktop solution to customers

○ Better and Easier accessibility, also available on mobile web

○ Access to rich reports which gives you business knowledge, spend

○ Unlimited free upgrades for a year

● The users can register on the desktop for a free trial for 7 days first

● Sales associate would convert the customer into a paid customer

Mandatory requirements:

● Having your own bike is a must

● Field sales experience is a must (telecom, FMCG and financial sales

experience adds more weightage)

● Local language knowledge in the city of operations is a must

● Graduation in any field is sufficient

Benefits:

● Fixed salary (~15-18k a month)

● Targets based incentives (extremely attractive)

● Petrol allowance ~upto INR 3,000 (on actual bills)

● Initial job posting would be for 3 months - based on good performance,

conversion to full time employment would be granted

Key Areas of Responsibility (KRAs):

● Onboarding of Customers

○ Meet 30 new clients a day (tracked)

○ Get free trial enabled for 20 clients a day

○ Get 3 sales (paid customers, 10% conversion) per day -

non-negotiable output

● Retaining customer accounts

○ While we build new businesses, cross-selling would be key

○ Customers should keep using PagarBook desktop beyond 30 days of

activation

● Grow customer basket size

○ Identify key SME clusters in the city and prepare an acquisition plan

○ Go aggressive and acquire

● Business acumen & key skills

○ Strong knowledge on PagarBook sales process, services and product

○ Local Market and competition knowledge and clear articulation of

PagarBook advantages

○ Strong negotiation and influencing skills to create win-win

○ Give continuous feedback to internal teams to improve our

customer service level

Finally, remember, you are the PagarBook brand ambassador on the ground! All

the best.

Requirements for field sales - Phase 1 (50):

● West:

○ Pune - 10 Associates

○ Mumbai - 5 Associates

○ Thane - 5 Associates

○ Surat - 5 Associates

○ Ahmedabad - 5 Associates

○ Vadodara - 5 Associates