Telesales Executive

·        Responsible for handling IT requirements from US based clients.

·        Responsible for full-cycle recruiting: interview, offer, negotiation and closed candidates for assigned requisitions.

·        Sourcing from Job Portals (Monster, Dice, Career builder), making job postings on the Job Portal.

·        Well versed about US Terms like W2, C2C, 1099, US Visas, etc.

·        Responsible to work on C2H (Contract to Hire) positions.

·        Responsible for coordinating the fulfilment of other formalities such as background check, drug test etc. leading to joining post placement.

·        Responsible for achieving a good conversion ratio of submittals into interview and placement.

·        Responsible for Strategy Development process which includes understanding client requirements & mapping the relevant targets.

·        Must be having capability to work with a team or individually.

·        Maintain close contact with candidates/Vendors/ recruiters/offshore team.

·        Publish progress report to management every week.

·        Updated about technologies of the Client requirements and knowledge of current IT trends.

Shift Timing: US Shift Timing

Datamark Hiring - WFH

*English + French or Burmese language only*

Applicants should be comfortable with Rotational Shifts (Including night).

Working days: 5 days (2 rotational weeks off)

Job Type: Full-time

Location: Work from Home

Salary up to: 7.87 LPA

Minimum Requirements:

*1.High Schools degree or equivalent.*

*2. Native Fluency in English and Language* 

*Certification Required for French – B2 and above/ Grad & Masters/ Native (OCI would be required if not a citizen of India)*

*3. Advanced skills in the cultural dynamics (cultural implication and idiomatic expression) of language.*

*4.Excellent listening, retention and note-taking skills to maintain a high level of accuracy.*

*5.Ability to concentrate, stay detached from the conversation, and remain neutral and objective at all times.*

*6.Ability to explain certain cultural concepts to avoid miscommunication with the permission or at request of the client.*

Other allowance: 

Overtime pay, 

Med claim (Covers the employee, Spouse & 2 kids from the first day of employment) & 

other Incentives based on performance.*

Review Criteria:

• Strong MLOps profile
• 8+ years of DevOps experience and 4+ years in MLOps / ML pipeline automation and production deployments
• 4+ years hands-on experience in Apache Airflow / MWAA managing workflow orchestration in production
• 4+ years hands-on experience in Apache Spark (EMR / Glue / managed or self-hosted) for distributed computation
• Must have strong hands-on experience across key AWS services including EKS/ECS/Fargate, Lambda, Kinesis, Athena/Redshift, S3, and CloudWatch
• Must have hands-on Python for pipeline & automation development
• 4+ years of experience in AWS cloud, with recent companies
• (Company) - Product companies preferred; Exception for service company candidates with strong MLOps + AWS depth

Preferred:

• Hands-on in Docker deployments for ML workflows on EKS / ECS
• Experience with ML observability (data drift / model drift / performance monitoring / alerting) using CloudWatch / Grafana / Prometheus / OpenSearch.
• Experience with CI / CD / CT using GitHub Actions / Jenkins.
• Experience with JupyterHub/Notebooks, Linux, scripting, and metadata tracking for ML lifecycle.
• Understanding of ML frameworks (TensorFlow / PyTorch) for deployment scenarios.

Job Specific Criteria:

• CV Attachment is mandatory
• Please provide CTC Breakup (Fixed + Variable)?
• Are you okay for F2F round?
• Have candidate filled the google form?

Role & Responsibilities:

We are looking for a Senior MLOps Engineer with 8+ years of experience building and managing production-grade ML platforms and pipelines. The ideal candidate will have strong expertise across AWS, Airflow/MWAA, Apache Spark, Kubernetes (EKS), and automation of ML lifecycle workflows. You will work closely with data science, data engineering, and platform teams to operationalize and scale ML models in production.

Key Responsibilities:

• Design and manage cloud-native ML platforms supporting training, inference, and model lifecycle automation.
• Build ML/ETL pipelines using Apache Airflow / AWS MWAA and distributed data workflows using Apache Spark (EMR/Glue).
• Containerize and deploy ML workloads using Docker, EKS, ECS/Fargate, and Lambda.
• Develop CI/CT/CD pipelines integrating model validation, automated training, testing, and deployment.
• Implement ML observability: model drift, data drift, performance monitoring, and alerting using CloudWatch, Grafana, Prometheus.
• Ensure data governance, versioning, metadata tracking, reproducibility, and secure data pipelines.
• Collaborate with data scientists to productionize notebooks, experiments, and model deployments.

Ideal Candidate:

• 8+ years in MLOps/DevOps with strong ML pipeline experience.
• Strong hands-on experience with AWS:
• Compute/Orchestration: EKS, ECS, EC2, Lambda
• Data: EMR, Glue, S3, Redshift, RDS, Athena, Kinesis
• Workflow: MWAA/Airflow, Step Functions
• Monitoring: CloudWatch, OpenSearch, Grafana
• Strong Python skills and familiarity with ML frameworks (TensorFlow/PyTorch/Scikit-learn).
• Expertise with Docker, Kubernetes, Git, CI/CD tools (GitHub Actions/Jenkins).
• Strong Linux, scripting, and troubleshooting skills.
• Experience enabling reproducible ML environments using Jupyter Hub and containerized development workflows.

Education:

• Master’s degree in computer science, Machine Learning, Data Engineering, or related field. 

Strong Enterprise B2B SaaS Sales Profile

Mandatory (Experience 1) – Must have minimum 3+ years of experience in Enterprise B2B SaaS Sales, with a strong focus on end-to-end sales management including prospecting, qualification, solutioning, negotiation, and closure.

Mandatory (Experience 2) - Must have strong hands-on experience in new business acquisition along with exposure to existing account management, including upselling and cross-selling opportunities.

Mandatory (Experience 3) – Must have managed long enterprise sales cycles (6+ months) and independently driven complex, multi-stakeholder deals from discovery to contract signing.

Mandatory (Experience 4) – Must have closed minimum ₹25 Lakhs ARR per deal and managed a portfolio of ₹1 Cr+ ARR (e.g., 4 enterprise deals worth ₹25L+ each).

Mandatory (Industry) – Prior experience in Logistics / Supply Chain SaaS Sales is strongly preferred. Candidates selling supply chain visibility, fleet management, freight tech, ERP, TMS, or related enterprise tech solutions will be highly preferred.

Mandatory (Stakeholders) – Must have experience engaging and negotiating with CXO / Senior Decision Makers (Supply Chain Heads, Logistics Heads, COOs, CIOs, etc.) in enterprise accounts.

Mandatory (Skills) – Strong communication, presentation, solution selling, and negotiation skills with the ability to design client-specific solutions and articulate value propositions clearly.

Mandatory (Tools & Process) – Experience in structured enterprise sales processes, pipeline forecasting, and CRM usage (Salesforce / HubSpot / Zoho or equivalent).

Mandatory (Location) –Candidate must be based out of Mumbai.

 Job Description for Sales Representative.

We are looking for a motivated and well-spoken inside sales representative to join our sales team. The inside sales representative will be responsible for developing new leads, communicating with customers, understanding their needs, and ensuring a smooth sales process. You should be able to close sales and meet targets.

To be successful as an inside sales representative you should be able to build instant rapport and achieve customer satisfaction. A top inside sales representative should also be very competitive and a good listener.

Inside Sales Representative Responsibilities:

Communicating with customers, making outbound calls to potential customers, and following up on leads.

Understanding customers' needs and identifying sales opportunities.

Answering potential customers' questions and sending additional information per email.

Keeping up with product and service information and updates.

Creating and maintaining a database of current and potential customers.

Explaining and demonstrating features of products and services.

Staying informed about competing products and services.

Upselling products and services.

Researching and qualifying new leads.

Closing sales and achieving sales targets

Your Job Role

• Write clean, scalable code using .NET Framework
• Remain up to date with the terminology, concepts, and best practices for coding.
• Develop technical interfaces, specifications, and architecture
• Use and adapt existing web applications for apps
• Create and test software prototypes
• Develop client displays and user interfaces
• Assist software personnel in handling project-related work and other requirements
• Coordinate with other software professionals and developers

What are requirements

• Familiarity with the ASP.NET framework, SQL Server, and design/architectural patterns (e.g. Model-View-Controller (MVC)
• Min 3 years experience of development experience using C# .NET
• Knowledge of at least one of the .NET languages (e.g. C#, Visual Basic . NET) and HTML5/CSS3
• Familiarity with architecture styles/APIs (REST, RPC)
• Understanding of Agile methodologies
• Strong attention to detail
• Excellent troubleshooting and communication skills
• Knowledge of REST and RPC APIs
• Able to work well in a team setting

Other Details

Experience required- 3+ years

Job Location- Noida (Onsite)

Job Type- Full time

• Gaining insights of Legistify services and learn intricacies of legal services facilitated by Legistify
• Develop the business towards the projected growth ethically, timely and economically in consultation with the respective head.
• The meta goal for Corporate Alliance Associate is to convert the prospects to paid clients and provide best customer experience for the entire client lifecycle.
• Providing best and professional customer experience to prospects and clients
• Servicing clients dedicatedly and always be available for them ( 24*7 * 365 )
• Recording case details, documents, paid installments, due installments, and milestones for every client.
• Send Predefined Structured Email Templates to Clients. If not pre defined, mail should be properly structured, formatted and legible