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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

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ROLES AND RESPONSIBILITIES:

As Manager-Business Development, you will be responsible for business development in India Market. Will be responsible for identifying new opportunities to expand markets and drive business growth while also enabling increased revenue from current accounts. Build and maintain strategic partnerships and nurture relationships with influencers and stakeholders.

RESPONSIBILITIES & DUTIES:

• Responsible for sales in the Indian market for our SaaS Product.
• Lead outbound and direct sales efforts by proactively engaging with potential clients, building strong relationships, and successfully closing deals. This is a field-intensive role that requires frequent client visits, lead generation, and hands-on market engagement to drive sales growth.
• Independently managing deal size of INR 50 L ARR in the past
• Coordinating with Pre-sales team on getting Demos / POCs conducted.
• Proposal preparation, conducting commercial negotiations leading to closure and contracting.
• Collecting payments from customers and manage customer relationship.
• Strong communication skills with ability to sell and interact with CXO profiles of companies.

IDEAL CANDIDATE:

• Overall, 6-8 years of experience in outbound and direct sales preferably in the garment industry.
• Minimum 4-5 years of experience in selling ERP solutions.
• Solid business development & acquisition experience
• Strong relationship and account management skills
• Proficient in using CRM tools and data analysis to drive sales performance
• Proactive and solutions-oriented with the ability to work independently
• Excellent interpersonal skills and ability to communicate with stakeholders at all levels - internally as well as externally
• Excellent communication, negotiation, and presentation skills
• Strong business acumen and ability to understand customer needs

Job Title: Accounts Consolidation and Reporting Manager

Location: Mumbai

Department: Finance & Accounts

Reports To:

Job Purpose:

The Accounts Consolidation and Reporting Manager will oversee the consolidation of financial data from various departments and projects within the engineering and construction company. This role is responsible for preparing accurate, timely financial statements, ensuring compliance with accounting standards, and providing comprehensive financial reporting to senior management.

Key Responsibilities:

1.      Financial Consolidation:

o  Consolidate financial data from multiple business units and projects to prepare consolidated financial statements, ensuring accuracy and completeness.

o  Manage month-end and year-end closing processes, ensuring all financial data is consolidated on time.

2.      Financial Reporting:

o  Prepare and present monthly, quarterly, and annual financial reports, including profit & loss statements, balance sheets, and cash flow statements.

o  Provide detailed analysis of financial performance, including variance analysis against budget and prior periods.

3.      Compliance & Internal Controls:

o  Ensure compliance with accounting standards, company policies, and regulatory requirements in all financial reporting activities.

o  Develop and maintain internal controls to safeguard financial data and ensure the integrity of financial information.

4.      Collaboration with Project Teams:

o  Work closely with project managers and departmental heads to gather financial data and ensure that project-specific costs are accurately reflected in the consolidated reports.

5.      Audit & Financial Reviews:

o  Support internal and external audits by providing required documentation and ensuring financial records are audit-ready.

o  Assist in identifying any financial discrepancies and work to resolve them in a timely manner.

Key Requirements:

·      Education:

o  Bachelor’s degree in Finance, Accounting, or related field.

o  CA is Mandatory.

·      Experience:

o  At least 10+ years of experience in financial consolidation and reporting within the engineering or construction industry.

·      Skills:

o  Strong understanding of financial consolidation, reporting, and accounting principles.

o  Proficient in SAP and MS Excel.

Responsibilities

We’re growing quickly on grounds of great customer love & are looking to add a new Retention Marketing Manager to our growth team. Your responsibilities would include (but not be limited to):

● Find key levers for growth in the user journey funnels across all channels (CRM, Digital marketing, direct, etc.) and platforms (App, Web, Mweb, etc.)

● Develop a personalization roadmap and execution plan across teams to help drive better visits/user and visit to buy conversions

● Drive initiatives to maximize LTV

● Manage cross-functional growth projects at both macro and micro levels, working closely with product and functional teams to run experiments, A/B tests, and roll out features on an ongoing basis

● Analytical :- Develop data-backed insights to predict good/bad customer journeys, understand user engagement, new vs retention programs to find levers for growth

Skills You’d be a great fit for the role if you display these qualities:

● Ability to drive data-backed business decisions for revenue growth

● Detail Oriented- Good at problem-solving skills

● Experience of working in unstructured environment and entrepreneurial in nature

• Action-oriented and energetic, with a focused and pragmatic approach to problem

Position/Title: Senior - Talent Acquisition

Department: Human Resources

Employment Type: Full-time

Location: Mumbai

Shifts (if any): 10:00 AM - 7:00 PM (candidate should be flexible to work as per business requirement)

Experience: 5-10 years

This position is on 3rd party payroll.

About Aeries:

Aeries is a global services company providing technology, business Founded in 2012, Aeries Technology is a Nasdaq listed global professional services and consulting partner, headquartered in Mumbai, India, with centers in the USA, Mexico, Singapore, and Dubai. We provide mid-size technology companies with the right mix of deep vertical specialty, functional expertise, and the right systems & solutions to scale, optimize and transform their business operations with unique customized engagement models. Aeries is Great Place to Work certified by GPTW India, reflecting our commitment to fostering a positive and inclusive workplace culture for our employees.

For more information, log on to http://www.aeriestechnology.com 

Key Responsibilities:

1.      Non and IT Recruitment Strategy:

·  Develop a specialized recruitment strategy to attract top talent in the Non IT and IT sectors.

·  Stay updated on the latest IT and NON IT  developments to anticipate hiring needs.

2.       Candidate Sourcing and Engagement:

·  Identify potential candidates through various channels including job portals, networking events, and referrals.

·  Engage potential candidates with an understanding of technical requirements such as SAP, Oracle, cloud technologies, programming languages, and more.

3.       Stakeholder Collaboration:

·  Work closely with IT and Non IT department heads to define precise hiring needs and specifications.

4.       Candidate Assessment:

·  Conduct preliminary screening and technical assessments, ensuring candidates meet the technical and cultural fit for roles.

·  Coordinate technical tests and interviews with the respective teams.

5.       Market Intelligence:

·  Stay informed about market trends, competitive salaries, and benefits to attract and retain the best talent in the ERP and IT sectors.

6.       Process and Metrics Management:

·  Continually refine recruitment processes to enhance efficiency and effectiveness.

7.       Candidate Experience:

·  Ensure a seamless experience for candidates from the initial approach through the onboarding process.

·  Address any specific concerns related to ERP and IT roles.

Desired Minimum Qualification:

·  Bachelor’s degree

·  A minimum of [5 to 10] years of experience in talent acquisition with a focus on Non-IT and IT roles

·  IT technologies.

·  Proven track record in hiring for technical roles.

The Job responsibilities of the candidate shall include but not limited to the Job Description & to perform any other tasks/functions as required by the Company.

The IT sales role is responsible to contact and follow up with leads and potential clients in international markets to convert into clients:

1. Sales to be done by phone and email.

2. Cold calling and closing the deal.

3. The sales executive should generate client interest

4. The sales executive should be able to ensure that this interest is converted into purchases by the client