Technical Writer

Role : AIML Engineer

Location : Madurai

Experience : 5 to 10 Yrs

Mandatory Skills : AIML, Python, SQL, ML Models, PyTorch, Pandas, Docker, AWS

Language: Python

DBs : SQL

Core Libraries:

Time Series & Forecasting: pmdarima, statsmodels, Prophet, GluonTS, NeuralProphet

SOTA ML : ML Models, Boosting & Ensemble models etc.

Explainability : Shap / Lime

Required skills:

• Deep Learning: PyTorch, PyTorch Forecasting,
• Data Processing: Pandas, NumPy, Polars (optional), PySpark
• Hyperparameter Tuning: Optuna, Amazon SageMaker Automatic Model Tuning
• Deployment & MLOps: Batch & Realtime with API endpoints, MLFlow
• Serving: TorchServe, Sagemaker endpoints / batch
• Containerization: Docker
• Orchestration & Pipelines: AWS Step Functions, AWS SageMaker Pipelines

AWS Services:

• SageMaker (Training, Inference, Tuning)
• S3 (Data Storage)
• CloudWatch (Monitoring)
• Lambda (Trigger-based Inference)
• ECR, ECS or Fargate (Container Hosting)

Job Description for Visa Filing and Administrative Executive

Location: Remote (Work from Home)

Time Zone: Canada & US working hours

Employment Type: Full-Time

Compensation: Based on experience

Reports To: RCIC / Business Lead

About the Role

We are seeking a highly motivated ​​​​​​​​​​​​​​Visa Filing and Administrative Executive​​​​​​​ to join our team. In this role, you will provide critical support to an RCIC-led immigration practice while also managing a variety of administrative and operational tasks. The ideal candidate is detail-oriented, organized, and able to balance multiple priorities in a professional and confidential manner.

________________________________________

Key Responsibilities

Immigration Support

•   Prepare and review immigration applications, supporting documentation, and forms.

•   Maintain and update client files, ensuring accuracy and adherence to deadlines.

•   Communicate with clients to collect necessary information and provide regular updates on case progress.

•   Research immigration programs, requirements, and regulatory changes as needed.

•   Safeguard all client information in compliance with privacy and regulatory standards.

Administrative & Business Support

•   Manage day-to-day administrative tasks including scheduling, email correspondence, and document preparation.

•   Assist with bookkeeping activities such as expense tracking, invoice preparation, payroll support, and record management.

•   Coordinate projects, track timelines, and ensure timely follow-ups.

•   Conduct research to support business operations, including vendors, suppliers, and process improvements.

•   Draft reports, summaries, and spreadsheets for internal use.

•   Provide additional administrative support to ensure smooth business operations.

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Qualifications

•   Minimum 2 years of experience in relevant field. 

•   Experience in immigration, legal, or administrative support (preferred).

•   Exceptional attention to detail with the ability to handle sensitive information discreetly.

•   Strong organizational and time management skills.

•   Excellent written and verbal communication abilities.

•   Proficiency in Microsoft Office Suite and Google Workspace.

•   Familiarity with bookkeeping or accounting processes.

•   Knowledge of the Federal Government Immigration Portal (an asset).

•   Strong research skills with the ability to present findings clearly.

Role/Designation : Relationship Manager

   Reporting Manager : City Head      

Location : Thane east mumbai

   Roles & Responsibilities:

• Recruiting and Managing team of financial advisors/agents.

• Managing the complete life cycle of financial advisors/agents e.g., Meeting and interacting with them on regular basis

• Training the financial advisors/agents on our app for servicing their customers in most efficient and effective manner

• Driving partners for higher productivity and focus on renewals and ensuring that focus is not diluted.

• Achievement of Monthly/Quarterly/Yearly targets as assigned by the manager/organization from time to time.

• Understanding and aligning with company’s policies and ensure full compliance.

• Maintaining the highest level of business hygiene.

• Identifying new approaches to enhance reach and generate more sales in the assigned region.

• Working on distribution of Motor, Life & health Insurance and loans, credit card, NPS, etc and products as and when introduced by the organization.    

Desired Profile:

• Education - Full time HSC or Graduation.

• Experience - 1+ year of experience in Sales and BD in Insurance Industry.

• Knowledge - In-depth understanding of business context. Understanding of Insurance and Financial products is an added advantage.

• Exposure - Familiarity with all types of insurance plan and financial products (Life, Health, Motor,)

• Communication - Excellent verbal and written communication skills and ability to liaise with multiple stakeholders.

• IT Skills - Proficient with Microsoft Office Suite or related software.

About Us:

We’re looking to hire someone to help scale Machine Learning and NLP efforts at Episource. You’ll work with the team that develops the models powering Episource’s product focused on NLP driven medical coding. Some of the problems include improving our ICD code recommendations , clinical named entity recognition and information extraction from clinical notes.

This is a role for highly technical engineers who combine outstanding oral and written communication skills, and the ability to code up prototypes and productionalize using a large range of tools, frameworks, and languages. Most importantly they need to have the ability to autonomously plan and organize their work assignments based on high-level team goals.

What you will do at Episource:

You will be responsible for setting an agenda to develop and build machine learning platforms that positively impact the business, working with partners across the company including operations and engineering. You will be working closely with the machine learning team to design and implement back end components and services. You will be evaluating new technologies, enhancing the applications, and providing continuous improvements to produce high quality software.

Required Skills:

• Strong background in analytics, BI or data science deployments is preferable with 2-6 years of experience

• Knowledge of React/Vue, HTML, CSS

• Experience building and consuming APIs 

• Experience with MySQL, MongoDB and MEAN stack 

• Knowledge and experience with serverless architectures is a plus

• Hands-on experience with AWS or any major cloud service provider for deploying solutions

• Experience with Docker or Kubernetes in deploying solutions on the cloud

• Hands-on experience Python, Apache Spark & Big Data platforms to manipulate large-scale structured and unstructured datasets.

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

Hello,

Greetings for the day !!!

We are hiring "Technical Support L3 - Exchange Server" for one of the international MNC specialized into Hardware & Networking based @ Mumbai/Pune !!!

Position: Technical Support L3 - Exchange Server

Must Have Skills

Exchange Server, O365

Experience Level: 4+ Years

Required Skills

1. Knowledge of Exchange Management & troubleshooting.
2. Knowledge of Office 365 Management & troubleshooting.
3. Knowledge of Active Directory management & troubleshooting.
4. Knowledge of mail routing and client connectivity.
5. Knowledge of Back up configuration & troubleshooting.
6. Well versed with Windows event log & analysis.
7. Enthusiasm for learning new skills.
8. Good communication skills - both written and verbal.
9. Passion for providing exceptional service to customers.
10. Strong sense of ownership and accountability.
11. Strong work ethics.

Roles & Responsibility:

1. Expert knowledge of Exchange 2010, 2013, 2016, and 2019 its troubleshooting.
2. Advanced Knowledge of handling Office 365 issues.
3. Advanced Knowledge of Active Directory Replication, Permission Management, Group Policy, and troubleshooting will be added advantages.
4. Must have a minimum of 4 years working experience and intimate proficiency with Microsoft Exchange 2010, 2013, 2016, and 2019 administration and troubleshooting in a large-scale multi-site environment.
5. Must have skills in deploying Exchange in a large enterprise environment.
6. Knowledge of Exchange Hardening.
7. Expert knowledge of mail flow and third-party smart host filtering.
8. Expert knowledge of Outlook and OWA configuration and troubleshooting.
9. Expert knowledge in Troubleshooting issues by checking Exchange Logs and Windows Event Logs.
10. Advanced knowledge in a clustered environments (Windows Cluster / DAG).
11. Expert knowledge in Backup Applications with respect to Active Directory and Microsoft Exchange 2010, 2013, 2016.
12. Good to have knowledge of Azure.

Employment Mode: Permanent Opportunity

Work Mode: Work from office

Shift: 24*7 Rotational Shift

Location: 

Mumbai - Andheri

Pune - Hinjewadi Phase 2

What the Role involves :

· Position holder will be an individual contributor

· Build and manage productive, professional relationships with clients

· Ensure clients are using and deriving benefit from IndiaMART

· Ensure products/services in client’s e-catalog are accurately defined

· Maximize revenue by upselling other services and achieve fortnightly, monthly client retention and revenue targets

· Systematic follow-up and time-bound closures

· Prompt resolution of complaints

Daily 10-15 meaningful telephone/video calls with clients

Critical Skills of a Suitable Candidate :

· Application of sales techniques

· Active listening and understanding the business contexts of clients

· Good Verbal and written communication

· Ability to work independently

Industry

• Computer Software

Employment Type

Full-time

Edit job description

ML Engineer-Analyst/ Senior Analyst

Job purpose:

To design and develop machine learning and deep learning systems. Run machine learning tests andexperiments and implementing appropriate ML algorithms. Works cross-functionally with the Data Scientists, Software application developers and business groups for the development of innovative ML models. Use Agile experience to work collaboratively with other Managers/Owners in geographically distributed teams.

Accountabilities:

• Work with Data Scientists and Business Analysts to frame problems in a business context. Assist all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.

• Understand business objectives and developing models that help to achieve them, along with metrics to track their progress.

• Explore and visualize data to gain an understanding of it, then identify differences in data distribution that could affect performance when deploying the model in the real world.

• Define validation strategies, preprocess or feature engineering to be done on a given dataset and data augmentation pipelines.

• Analyze the errors of the model and design strategies to overcome them.
• Collaborate with data engineers to build data and model pipelines, manage the infrastructure and data pipelines needed to bring code to production and demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created.

Qualifications & Specifications

• Bachelor's degree in Engineering /Computer Science/ Math/ Statistics or equivalent. Master's degree in relevant specification will be first preference

• Experience of machine learning algorithms and libraries
• Understanding of data structures, data modeling and software architecture.
• Deep knowledge of math, probability, statistics and algorithms
• Experience with machine learning platforms such as Microsoft Azure, Google Cloud, IBM Watson, and Amazon

• Big data environment: Hadoop, Spark
• Programming languages: Python, R, PySpark
• Supervised & Unsupervised machine learning: linear regression, logistic regression, k-means

clustering, ensemble models, random forest, svm, gradient boosting

• Sampling data: bagging & boosting, bootstrapping
• Neural networks: ANN, CNN, RNN related topics
• Deep learning: Keras, Tensorflow
• Experience with AWS Sagemaker deployment and agile methodology