Pyspark Developer

Senior Machine Learning Engineer

About the Role

We are looking for a Senior Machine Learning Engineer who can take business problems, design appropriate machine learning solutions, and make them work reliably in production environments.

This role is ideal for someone who not only understands machine learning models, but also knows when and how ML should be applied, what trade-offs to make, and how to take ownership from problem understanding to production deployment.

Beyond technical skills, we need someone who can lead a team of ML Engineers, design end-to-end ML solutions, and clearly communicate decisions and outcomes to both engineering teams and business stakeholders. If you enjoy solving real problems, making pragmatic decisions, and owning outcomes from idea to deployment, this role is for you.

What You’ll Be Doing

Building and Deploying ML Models

• Design, build, evaluate, deploy, and monitor machine learning models for real production use cases.
• Take ownership of how a problem is approached, including deciding whether ML is the right solution and what type of ML approach fits the problem.
• Ensure scalability, reliability, and efficiency of ML pipelines across cloud and on-prem environments.
• Work with data engineers to design and validate data pipelines that feed ML systems.
• Optimize solutions for accuracy, performance, cost, and maintainability, not just model metrics.

Leading and Architecting ML Solutions

• Lead a team of ML Engineers, providing technical direction, mentorship, and review of ML approaches.
• Architect ML solutions that integrate seamlessly with business applications and existing systems.
• Ensure models and solutions are explainable, auditable, and aligned with business goals.
• Drive best practices in MLOps, including CI/CD, model monitoring, retraining strategies, and operational readiness.
• Set clear standards for how ML problems are framed, solved, and delivered within the team.

Collaborating and Communicating

• Work closely with business stakeholders to understand problem statements, constraints, and success criteria.
• Translate business problems into clear ML objectives, inputs, and expected outputs.
• Collaborate with software engineers, data engineers, platform engineers, and product managers to integrate ML solutions into production systems.
• Present ML decisions, trade-offs, and outcomes to non-technical stakeholders in a simple and understandable way.

What We’re Looking For

Machine Learning Expertise

• Strong understanding of supervised and unsupervised learning, deep learning, NLP techniques, and large language models (LLMs).
• Experience choosing appropriate modeling approaches based on the problem, available data, and business constraints.
• Experience training, fine-tuning, and deploying ML and LLM models for real-world use cases.
• Proficiency in common ML frameworks such as TensorFlow, PyTorch, Scikit-learn, etc.

Production and Cloud Deployment

• Hands-on experience deploying and running ML systems in production environments on AWS, GCP, or Azure.
• Good understanding of MLOps practices, including CI/CD for ML models, monitoring, and retraining workflows.
• Experience with Docker, Kubernetes, or serverless architectures is a plus.
• Ability to think beyond deployment and consider operational reliability and long-term maintenance.

Data Handling

• Strong programming skills in Python.
• Proficiency in SQL and working with large-scale datasets.
• Ability to reason about data quality, data limitations, and how they impact ML outcomes.
• Familiarity with distributed computing frameworks like Spark or Dask is a plus.

Leadership and Communication

• Ability to lead and mentor ML Engineers and work effectively across teams.
• Strong communication skills to explain ML concepts, decisions, and limitations to business teams.
• Comfortable taking ownership and making decisions in ambiguous problem spaces.
• Passion for staying updated with advancements in ML and AI, with a practical mindset toward adoption.

Experience Needed

• 6+ years of experience in machine learning engineering or related roles.
• Proven experience designing, selecting, and deploying ML solutions used in production.
• Experience managing ML systems after deployment, including monitoring and iteration.
• Proven track record of working in cross-functional teams and leading ML initiatives.

Cybersecurity Analyst – Job Description

Responsibilities:

• Monitor and respond to security incidents across networks and systems.
• Conduct vulnerability assessments and penetration testing.
• Implement and manage security tools like firewalls, IDS/IPS, and antivirus.
• Ensure compliance with security standards (e.g., ISO 27001, NIST).
• Prepare reports and recommend mitigation strategies.

Tools Often Used:

• Nessus for vulnerability scanning.
• Metasploit for exploit development and testing.
• Burp Suite and OWASP ZAP for web application security testing.

• SAP FICO Functional Support
  • Conceptualizing & Mapping of all Business Scenarios
  • Functional support for all SAP FICO Modules including Product Costing
  • Expertise in integration with all other SAP R3/ISU modules
  • Understanding & knowledge of MDM
  • Having expertise & understanding the migration activity
  • SAP IS-U Developments
  • Preparing Functional & Technical Specification Document
  • Implementation/Execution of development logic
  • Technical / Functional testing of IS-U FICO developments
  • SAP Roles & Authorization
  • Role creation according to requirement and assignment of Role to user

Role & Responsibilities:

• Owning offline/retail P&L
• Identifying potential locations for expansion following the company’s expansion strategy
• Liaising with various agencies in the space search
• Carrying out a detailed feasibility study on chosen locations
• Negotiation with the malls/agencies and finalization of related documents & pricing.
• Creating & implementing the organization chart for the offline/retail function
• Collaboration with the Marketing team and VM for In-store marketing/promotions and for external ATL/BTL activities
• Generates ideas about future retail activities to ensure a cutting-edge strategy; maintains up-to-date knowledge of the marketplace, competitors, and trends
• Takes a lead role in building a strong sales management culture with the operations team; spends time coaching store managers, identifying skills and opportunities for development; provides advice and guidance on Store manager issues when needed.
• Maintains and constantly develops innovative and cost-effective stock generation; monitors stock weekly to achieve bottom-line sales budget against monthly targets
• Implementation of ERP and other Technology resources for effective Business Decision Making

Expected skill sets:

• Experience of 12 -14 years with established brand(s) in the Lifestyle Retail category.
• Critical experience in Sales and/or Retail Operations is a must
• Should have worked across the key retail formats viz EBO, LFS, and MBO.
• Experienced in managing relationships at a senior level and managing a diverse (in terms of skill base and experience) team of people.
• Must be able to demonstrate the ability to c
• ontribute and successfully deliver against a business strategy.
• Excellent communication skills - verbal, written to include report writing and group presentations
• Commercially sound with a good understanding of profit and loss accounting and the influence of operating factors e.g. volume v price
• Excellent organization skills, able to prioritize
• A collaborative team player concerned with the team's success as well as individual performance

Why join us?

We are a young and dynamic team, so you will get to make a significant impact, learn a lot, and have fun in the process. We are building our team as well, so this is a great opportunity to quickly climb up the ladder and become among the top D2C experts in India.

We are a funded, capital-efficient business, with best-in-class D2C founders as our investors. We are rapidly growing, so you get to be a part of the hyper-growth phase and quickly grow with us.

Job Details:

• Work timings: Mon to Sat, Work from Office role
• Office location: Mumbai
• CTC: As per market standard
• Reporting: To founder

1. Specialized in Healthcare Recruitment

2. Responsible for Nurses manpower for all our units

3. Sourcing and attracting candidates by using databases, social media etc.

4. Conducting interviews and filtering nurse candidates for open positions.

5. Collaborate with Nursing Heads (Regional & Unit level) on a regular basis and proactively identify future hiring needs.

6. Prepare recruitment materials and post jobs to appropriate job board/newspapers/nursing colleges etc.

7. Provide analytical and well documented recruiting reports to the department head.

8. Act as a point of contact and build influential candidate relationships during the selection process.

9. Promote company reputation and brand among the applicants.

Benefits:

• Cell phone reimbursement
• Flexible schedule

Schedule:

• Day shift

Supplemental pay types:

• Performance bonus

Ability to commute/relocate: Chennai

Language:

• Hindi (Required)

Roles and Responsibilities

* Work closely with the marketing team to develop social media campaigns that help to achieve corporate marketing goals.

* Develop monthly reports on emerging social media trends that will be submitted to the management and executive teams

*  Monitor the companies social media accounts and offer constructive interaction with users

* Create methods for finding and saving online customer reviews

* Analyse the long-term needs of the company’s social media strategy and offer quarterly reports to the management and executive teams that outline any necessary changes to the digital marketing plan

Requirements and qualifications 

*  bachelor’s degree in marketing, Communications, or a related field

*  4+ years’ experience in social media management

*  Exceptional multi-tasking skills

*  Able to explain complex social media data in an understandable way

*  Strong problem-solving skills

*  Knowledge of Social Media advertising platforms is required.

*  Knowledge of the latest digital marketing trends

*  Experience with email automation tools

*  Sense of ownership and pride in your performance and its impact on         the company’s success

*  Critical thinking and problem-solving skills

*  Team player

* Good time-management skills

*   Excellent interpersonal and communication skills

About the role: Looking for Software Developers who like to innovate and solve complex problems. We recognize that strength comes from diversity, and we will embrace your unique skills, curiosity, drive, and passion while giving you the opportunity to grow technically and as an individual.  

Responsibilities: 

• Work with an open-source iOS ecosystem and the libraries available for common tasks. 
• Work directly with developers and product managers to conceptualize, build, test and realize products.  
• Build reusable iOS software components for the platform.  

• Unit-test code for robustness, including edge cases, usability, and general reliability.   
• Work on bug fixing to improve application performance and shipping new features as required 
   

  Requirements:  

• Experience with iOS Design patterns, memory management, REST web-services and JSON Parsing. Designing and building advanced applications for the iOS platform 
•  Collaborating with cross-functional teams to define, design, and ship new features 

• Design and build advanced applications for the iOS platform  
• Work on bug fixing and improving application performance  
• Can integrate apps with backend and 3rd party API’s. 
• Good programming skills in Objective-C/Swift and extensive knowledge of Apples SDKs and frameworks like Core Data, Core Graphics, Foundation, UIKit, etc.  
• Have published one or more applications in an iOS App Store. 

• Knowledge of iOS App Store deployment process. 

Work Experience : 0-2 years

Responsibilities :

- Design and implement mathematical models for fundamental valuation of securities. The person will need to understand latest research in quantitative finance and implement the same.

- Design, back-testing and implementation of high-frequency trading strategies on international exchanges. Work as part of the market-making team to determine the signals and trading strategies to go live with.

- Conduct performance attribution of live portfolios.

Required Skills :

- Strong candidates should have 0-2 years of work experience and successful track record in quantitative analysis preferably in the capital markets domain.

- Post-Graduate degree in statistics, finance, mathematics, engineering (Computer Science preferred) or other quantitative or computational disciplines

- Experience in using some or all of the following packages: R, MATLAB, SPSS, CART, C# .Net, Python

- Good written and oral communication skills.

- Strong experience working both independently and in a team-oriented collaborative environment.

- Entrepreneurial, self-motivated individual - high energy, high activity levels - passion for working with an innovative, small but rapidly growing company.

passion for building and delivering great software with a strong sense of ownership.

• 4+ years of experience in building web applications using React, Node.js, GraphQL integrations with NoSQL or relational database systems.
• Working experience in building and deployment applications on AWS platform a plus.
• Working experience on docker and microservice a plus.
• Strong experience with Build and Release, Agile processes and Estimation/Planning
• Must have strong debugging and troubleshooting skills, with solid understanding of logging and exception handling.