Content Writer & Marketing Manager

Team Leader job description

We are looking for an experienced, self-driven and motivated Team Leader to join our team!  As our Team Leader, you will be responsible for supervising, overseeing, leading, managing, rewarding, and motivating.

Team Leader duties and responsibilities

• Set clear team goals and KPIs
• Delegate tasks and set sales target
• Oversee day-to-day teams' operation and performance
• Do regular performance evaluation
• Create a healthy and motivating work environment and atmosphere
• Communicate with teams about their performance
• Monitor team performance and report on metrics
• Motivate team members
• Discover training needs and provide coaching
• Listen to team members’ feedback and resolve any issues or conflicts
• Plan and organize team-building activities

Team Leader requirements

• 2 years of experience as a Team Leader or similar role
• In-depth knowledge of performance metrics
• Good PC skills, especially MS Excel
• Experience with organizing training programs
• Sense of ownership and pride in your performance and its impact on the company’s success
• Critical thinker and problem-solving skills
• Team player
• Good time-management skills
• Great interpersonal and communication skills

Note:

1) Preferably should have handled telesales team in banking sector( Loans,Credit card etc) but not mandate

2) At Least 1 year experience in the same field.

Strong UI/UX Designer Profile

Mandatory (Experience 1) - Must have 2+ years of hands-on experience as a UI/UX Designer

Mandatory (Experience 2) - Must have hands-on experience across the end-to-end UI/UX process, including user research, user flows, and information architecture

Mandatory (Tools 1) - Advanced proficiency in Figma for wireframing, prototyping, and high-fidelity UI design

Mandatory (Tools 2) - Familiarity with modern design tools such as Adobe Creative Suite (Photoshop, Illustrator) and/or Sketch

Mandatory (Portfolio) - Strong portfolio is mandatory, showcasing detailed case studies with user research, design rationale, UX process, wireframes, and final UI outputs across web and/or mobile platforms

Full-Stack Machine Learning Engineer

Role: Full-Time, Long-Term Required: Python Preferred: C++

OVERVIEW

We are seeking a versatile ML engineer to join as a core member of our technical team. This is a long-term position for someone who wants to build sophisticated production systems and grow with a small, focused team. You will work across the entire stack—from data ingestion and feature engineering through model training, validation, and deployment.

The ideal candidate combines strong software engineering fundamentals with deep ML expertise, particularly in time series forecasting and quantitative applications. You should be comfortable operating independently, making architectural decisions, and owning systems end-to-end.

CORE TECHNICAL REQUIREMENTS

Python (Required): Professional-level proficiency writing clean, production-grade code—not just notebooks. Deep understanding of NumPy, Pandas, and their performance characteristics. You know when to use vectorized operations, understand memory management for large datasets, and can profile and optimize bottlenecks. Experience with async programming and multiprocessing is valuable.

Machine Learning (Required): Hands-on experience building and deploying ML systems in production. This goes beyond training models—you understand the full lifecycle: data validation, feature engineering, model selection, hyperparameter optimization, validation strategies, monitoring, and maintenance.

Specific experience we value: gradient boosting frameworks (LightGBM, XGBoost, CatBoost), time series forecasting, probabilistic prediction and uncertainty quantification, feature selection and dimensionality reduction, cross-validation strategies for non-IID data, model calibration.

You should understand overfitting deeply—not just as a concept but as something you actively defend against through proper validation, regularization, and architectural choices.

Data Pipelines (Required): Design and implement robust pipelines handling real-world messiness: missing data, late arrivals, schema changes, upstream failures. You understand idempotency, exactly-once semantics, and backfill strategies. Experience with workflow orchestration (Airflow, Prefect, Dagster) expected. Comfortable with ETL/ELT patterns, incremental vs full recomputation, data quality monitoring, database design and query optimization (PostgreSQL preferred), time series data at scale.

C++ (Preferred): Experience valuable for performance-critical components. Writing efficient C++ and interfacing with Python (pybind11, Cython) is a significant advantage.

HIGHLY DESIRABLE: MULTI-AGENT ORCHESTRATION

We are building systems leveraging LLM-based automation. Experience with multi-agent frameworks highly desirable: LangChain, LangGraph, or similar agent frameworks; designing reliable AI pipelines with error handling and fallbacks; prompt engineering and output parsing; managing context and state across agent interactions. You do not need to be an expert, but genuine interest and hands-on experience will set you apart.

DOMAIN EXPERIENCE: FINANCIAL DATA AND CRYPTO

Preference for candidates with experience in quantitative finance, algorithmic trading, or fintech; cryptocurrency markets and their unique characteristics; financial time series data and forecasting systems; market microstructure, volatility, and regime dynamics. This helps you understand why reproducibility is non-negotiable, why validation must account for temporal structure, and why production reliability cannot be an afterthought.

ENGINEERING STANDARDS

Code Quality: Readable, maintainable code others can modify. Proper version control (meaningful commits, branches, code review). Testing where appropriate. Documentation: docstrings, READMEs, decision records.

Production Mindset: Think about failure modes before they happen. Build in observability: logging, metrics, alerting. Design for reproducibility—same inputs produce same outputs.

Systems Thinking: Consider component interactions, not just isolated behavior. Understand tradeoffs: speed vs accuracy, flexibility vs simplicity. Zoom between architecture and implementation.

WHAT WE ARE LOOKING FOR

Self-Direction: Given a problem and context, you break it down, identify the path forward, and execute. You ask questions when genuinely blocked, not when you could find the answer yourself.

Long-Term Orientation: You think in years, not months. You make decisions considering future maintainability.

Intellectual Honesty: You acknowledge uncertainty and distinguish between what you know versus guess. When something fails, you dig into why.

Communication: You explain complex concepts clearly and document your reasoning.

EDUCATION

University degree in a quantitative/technical field preferred: Computer Science, Mathematics, Statistics, Physics, Engineering. Equivalent demonstrated expertise through work also considered.

TO APPLY

Include: (1) CV/resume, (2) Brief description of a production ML system you built, (3) Links to relevant work if available, (4) Availability and timezone.

Role: Book Designer

Exp: 3-8 years

CTC: up to 8 LPA 

Location: Surat

Requirements :

● Strong skill set in editorial design, visual design, and information design.

● Translate complex topics visually, through design research, layouts, and other design aspects.

● Proficiency in Adobe InDesign is a must ( Adobe Illustrator, and Adobe Photoshop is a plus).

● Experience of a minimum of 3 years as a Graphic Designer working on editorial projects, print media projects, or as a Print Production Artist.

● Candidates must have a Bachelor of Design degree in Graphic Design, Print Design, Communication Design or any other related branches.

● Possess a creative flair, originality, good visual aesthetic sense, and research skills.

1. Will be responsible for running manpower staffing solution like temporary and permanent staffing solution with Revenue Generation Model.

2. Will be accountable for creating and signing up agreements with clients.

3. Should handle existing client and adding new clients for our Manpower staffing service.

4. Recruitment for Clients requirements and Inhouse requirements should be executed effectively.

5. Should execute HR Generalist role ( Recruitment, Appointing Process, Induction, HR policy and process creation, Attrition,Training the team, Appraisal, Disciplinary action.

6. Should Manage the Team efficiently.

7. Responsible in training and grooming juniors.

8. Maintainance or process, reports are mandatory.

KRA

*Profit Generation Through Running Manpower consulting vertical (Staffing solution ) and Training Candidates in HR End to End Process.

*Always Clients expectations should be exceeded

*HR Generalist complete Process to be handled efficiently