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We are looking for an outstanding ML Architect (Deployments) with expertise in deploying Machine Learning solutions/models into production and scaling them to serve millions of customers. A candidate with an adaptable and productive working style which fits in a fast-moving environment.

Skills:

- 5+ years deploying Machine Learning pipelines in large enterprise production systems.

- Experience developing end to end ML solutions from business hypothesis to deployment / understanding the entirety of the ML development life cycle.
- Expert in modern software development practices; solid experience using source control management (CI/CD).
- Proficient in designing relevant architecture / microservices to fulfil application integration, model monitoring, training / re-training, model management, model deployment, model experimentation/development, alert mechanisms.
- Experience with public cloud platforms (Azure, AWS, GCP).
- Serverless services like lambda, azure functions, and/or cloud functions.
- Orchestration services like data factory, data pipeline, and/or data flow.
- Data science workbench/managed services like azure machine learning, sagemaker, and/or AI platform.
- Data warehouse services like snowflake, redshift, bigquery, azure sql dw, AWS Redshift.
- Distributed computing services like Pyspark, EMR, Databricks.
- Data storage services like cloud storage, S3, blob, S3 Glacier.
- Data visualization tools like Power BI, Tableau, Quicksight, and/or Qlik.
- Proven experience serving up predictive algorithms and analytics through batch and real-time APIs.
- Solid working experience with software engineers, data scientists, product owners, business analysts, project managers, and business stakeholders to design the holistic solution.
- Strong technical acumen around automated testing.
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)
- Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.)
- Experience in developing and debugging in one or more of the languages Java, Python.
- Ability to work in cross functional teams.
- Apply Machine Learning techniques in production including, but not limited to, neuralnets, regression, decision trees, random forests, ensembles, SVM, Bayesian models, K-Means, etc.

Roles and Responsibilities:

Deploying ML models into production, and scaling them to serve millions of customers.

Technical solutioning skills with deep understanding of technical API integrations, AI / Data Science, BigData and public cloud architectures / deployments in a SaaS environment.

Strong stakeholder relationship management skills - able to influence and manage the expectations of senior executives.
Strong networking skills with the ability to build and maintain strong relationships with both business, operations and technology teams internally and externally.

Provide software design and programming support to projects.

 Qualifications & Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Machine Learning Architect (Deployments) or a similar role for 5-7 years.

Job Summary:

We are seeking a SAS Data Integration Developer to design, develop, and maintain Campaign Management Data Mart (CMDM) solutions, integrate multiple data sources, and ensure data quality for marketing analytics and campaign execution.

Key Responsibilities:

• Data Integration & ETL Development
• Develop data ingestion, transformation, and deduplication pipelines.
• Standardize, cleanse, and validate large-scale customer data.
• Work with GaussDB, SAS ESP, APIs, and SAS DI Studio for data processing.
• Master Data Management (CMDM) Configuration
• Implement unification & deduplication logic for a single customer view.
• Develop and manage data masking & encryption for security compliance.
• API & CI360 Integration
• Integrate CMDM with SAS CI360 for seamless campaign execution.
• Ensure API connectivity and data flow across platforms.
• Testing & Deployment
• Conduct Unit, Integration, and UAT Testing.
• Deploy CMDM solutions to production and provide knowledge transfer.

Key Skills Required:

• SAS Data Integration Studio (SAS DI Studio)
• Design, develop, and maintain Campaign Management  Data Mart  (CMDM)
• Data Management (SAS Base, SQL, Data Cleansing)
• SAS ESP, GaussDB, and API Integration
• Data Governance (RBAC, GDPR, PII Compliance)
• Data Masking & Encryption Techniques

Job description

We are looking for an experienced Python developer to join our engineering team and help us create dynamic software applications for our clients. In this role, you will be responsible for writing and testing scalable code, developing back-end components, and integrating user-facing elements in collaboration with front-end developers.

Responsibilities:

• Coordinating with development teams to determine application requirements.

• Writing scalable code using Python programming language.

• Testing and debugging applications.

• Developing back-end components.

• Integrating user-facing elements using server-side logic.

• Assessing and prioritizing client feature requests.

• Integrating data storage solutions.

• Coordinating with front-end developers.

• Reprogramming existing databases to improve functionality.

• Developing digital tools to monitor online traffic.

Requirements:

• Bachelor's degree in Computer Science, Computer Engineering, or related field.

• 2-7 years of experience as a Python Developer.

• Expert knowledge of Python and Flask framework and Fast API.

• Solid experience in MongoDB, Elastic Search.

• Work experience in Restful API

• A deep understanding and multi-process architecture and the threading limitations of Python.

• Ability to integrate multiple data sources into a single system.

• Familiarity with testing tools.

• Ability to collaborate on projects and work independently when required.

• Excellent troubleshooting skills.

• Good project management skills.

SKILLS:

• PHYTHON
• MONGODB
• FLASK
• REST API DEVELOPMENT
• TWILIO

Job Type: Full-time

Pay: ₹10,000.00 - ₹30,000.00 per month

Benefits:

• Flexible schedule
• Paid time off

Schedule:

• Day shift

Supplemental Pay:

• Overtime pay

Ability to commute/relocate:

• Chennai, Tamil Nadu: Reliably commute or planning to relocate before starting work (Required)

Experience:

• Python: 1 year (Required)

Work Location: In person

Responsibilities:

- Collaborate with cross-functional teams including front-end developers, designers, and system administrators to develop robust and scalable server-side applications.

- Design and implement RESTful APIs and services using Node.js, ensuring efficient data handling and integration.

- Develop database schemas and models for MongoDB, optimizing queries and ensuring data integrity.

- Implement data migration and transformation tasks between different data sources.

- Write efficient and reusable code, following best practices and coding standards.

- Conduct thorough testing and debugging of applications to identify and fix issues promptly.

- Collaborate with DevOps team to deploy applications on servers or cloud platforms.

- Continuously monitor application performance and optimize it for scalability and reliability.

- Stay updated on emerging technologies and trends, actively suggesting improvements and innovative solutions.

Requirements:

- Strong proficiency in Node.js and JavaScript.

- Solid understanding of server-side development and asynchronous programming concepts.

- Experience working with NoSQL databases (e.g., MongoDB).

- Knowledge of database design and query optimization techniques.

- Familiarity with web application security principles and best practices.

- Proficiency in using version control systems (e.g., Git).

- Good understanding of agile development methodologies.

- Excellent problem-solving and analytical skills.

- Effective communication and collaboration abilities.

    Requirement analysis

·         Acquisition support (Technical analysis)

·         Automotive ECU software development

·         Diagnostic (UDS) function development

·         Software testing

·         Technical collaboration with internal/external development parties

Job description

The ideal candidate will oversee the online marketing strategy for the organization by planning and executing digital marketing campaigns. This candidate will launch advertisements and create content to increase brand awareness. This candidate will have previous marketing experience and be able to monitor the company's social media presence.

Key Skills

• Keyword research
• On-page keyword targeting
• Knowledge of WordPress
• SEMrush, keyword tool.io, ahref’s
• Google analytics
• Google webmaster
• Generating Sitemap of website
• Indexing the website on various search engines
• Microsoft Excel
• Yoast SEO
• Advanced Link building skills required ( Guest Blogging, Skyscraper Technique, relationship-based Link Building, Broken Link Building.)
• Good in writing and editing contents

Roles & Responsibilities

• On-page SEO optimization
• Off-page SEO (Link Building Backlinks)
• Social media marketing
• Checking & removing Duplicate content
• Formatting of content for better ranking
• Email marketing
• Running Facebook ads
• Running Google PPC, Display & remarking campaigns

Qualifications

• Excellent understanding of digital marketing concepts
• Experience with business to customer social media and content generation
• Strong creative and analytical skills

We are seeking a Security Program Manager to effectively drive Privacy & Security Programs in collaboration with cross functional teams. You will partner with engineering leadership, product management and development teams to deliver more secure products.

Roles & Responsibilities:

• Work with multiple stakeholders across various departments such as IT, Engineering, Business, Legal, Finance etc to implement controls defined in policies and processes.
• Manage projects with security and audit requirements with internal and external teams and serve as a liaison among all stakeholders.
• Managing penetration tests and security reviews for core applications and APIs.
• Identify, create and guide on privacy and security requirements considering applicable Data Protection Laws and implement them across software modules developed at Netmeds.
• Brainstorm with engineering teams to figure out how privacy and security controls can be applied to Netmeds tech stack.
• Coordination with Infra Teams and Dev Teams on DB and application hardening, standardization of server images / containerization.
• Assess vendors' security posture before onboarding them and after they qualify, review their security posture at a set frequency.
• Manage auditors and ensure compliance for ISO 27001 and other data privacy audits.
• Answer questions or resolve issues reported by the external security researchers & bug bounty hunters.
• Investigate privacy breaches.
• Educate employees on data privacy & security.
• Prioritize security requirements based on their severity of impact and product roadmap.
• Maintain a balance of security and business values across the organisation.

 Required Skills:

• Web Application Security, Mobile Application Security, Web Application Firewall, DAST, SAST, Cloud Security (AWS), Docker Security, Manual Penetration Testing.
• Good hands-on experience in handling tools such as vulnerability scanners, Burp suite, patch management, web filtering & WAF.

• Familiar with cloud hosting technologies (ex. AWS, Azure). Understanding of IAM, RBAC, NACLs, and KMS.

• Experience in Log Management, Security Event Correlation, SIEM.
• Must have strong interpersonal skills and should be able to communicate complex ideas seamlessly in written and verbal communication.

Good to Have Skills:

• Online Fraud Prevention.
• Bug Bounty experience.
• Security Operations Center (SOC) management.
• Experience with Amazon AWS services (EC2, S3, VPC, RDS, Cloud watch).
• Experience / Knowledge on tools like Fortify and Nessus.
• Experience in handling logging tools on docker container images (ex. Fluentd).