AI Agent / Agentic Engineer

Role: Python Developer (Immediate Joiner)

Location: Gurugram, India (Onsite)

Experience: 4+ years

Company: Mizzle Cloud Pvt Ltd

Working Days: 6 Days( 5 days- WFO, Sat- WFH)

Job Summary

We are seeking a skilled Python Django Developer with expertise in building robust, scalable, and efficient web applications. Must have 3+ years of core work experience. The ideal candidate will have hands-on experience with RabbitMQ, Redis, Celery, and PostgreSQL to ensure seamless background task management, caching, and database performance.

Key Responsibilities

• Develop, maintain, and enhance Django-based web applications and APIs.
• Design and implement message broker solutions using RabbitMQ to manage asynchronous communication.
• Integrate Redis for caching and session storage to optimize performance.
• Implement and manage task queues using Celery for background processes.
• Work with PostgreSQL for database design, optimization, and query tuning.
• Collaborate with front-end developers, DevOps engineers, and stakeholders to deliver high-quality software solutions.
• Write clean, modular, and well-documented code following best practices and standards.
• Debug, troubleshoot, and resolve issues across the application stack.
• Participate in code reviews, system design discussions, and team meetings.
• Ensure scalability, reliability, and security of applications.

Technical Skills:

• Must have minimum 4+ years of relevant work experience.
• Strong proficiency in Python and Django framework.
• Experience with message brokers, particularly RabbitMQ.
• Familiarity with Redis for caching and session management.
• Hands-on experience with Celery for distributed task queues.
• Proficiency in PostgreSQL, including database design and optimization.
• Knowledge of RESTful API design and development.
• Understanding of Docker and containerized applications.

Preferred Skills:

• Experience with CI/CD pipelines.
• Familiarity with cloud platforms (AWS, GCP).
• Knowledge of Django ORM and its optimizations.
• Basic understanding of front-end technologies (HTML, CSS, JavaScript).

Soft Skills:

• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork abilities.
• Ability to work in an agile environment and adapt to changing requirements.

Educational Requirements

• Bachelor’s degree in Computer Science, Software Engineering, or a related field.

Job Title: Salesforce Health Cloud Lead

Experience: 6+ years

Location: Remote

Notice Period: Immediate

Job Summary:

We are looking for a highly skilled and experienced Salesforce Health Cloud Lead to lead our Salesforce Health Cloud practice. The ideal candidate will have a strong background in Salesforce Health Cloud, excellent leadership and communication skills, and experience working with healthcare clients.

Key Responsibilities:

1. Lead the implementation and optimization of Salesforce Health Cloud solutions for clients.

2. Collaborate with clients to understand their business requirements and develop solutions to meet their needs.

3. Design and implement data models, workflows, and integrations using Salesforce Health Cloud.

4. Lead a team of Salesforce developers and consultants to deliver high-quality solutions.

5. Develop and maintain relationships with clients and stakeholders.

6. Stay up-to-date with the latest Salesforce Health Cloud features and best practices.

7. Collaborate with cross-functional teams to identify and pursue new business opportunities.

Growth Manager for key Accounts, Sales Operations, Multi geography sales co-coordination and operations, P&L responsible

Monitor sales metrics and manage the entire sales process across the team Lead and motivate the sales team to achieve and exceed specific goals Build a high-performance sales team to ensure customer satisfaction

Responsibilities

• Accountable for entire presales related activity such as Requirements Capturing, Analysis, Proposals, Estimation, Project Timelines
• International Sales (Inbound / Outbound)
• Solution Sales
• Business Consulting & Account Management
• Bringing expertise in client acquisition and contract negotiation along with relationship-building, and team leadership abilities.
• Results-driven and proactive with a demonstrated record of accomplishment in meeting and exceeding sales and revenue objectives.
• Quarterly/Annual revenue goal setting and resource planning to achieve them.
• Gathering requirements to understand the needs of clients, and their problem statements.
• Demonstrating solutions to stakeholders and getting closure by negotiating on price.
• Key Account Management for bigger revenue and becoming strategic partners
• Create effective strategies to target new markets after researching and analyzing competitor behavior, change in the market, etc.
• Work with the marketing team to increase engagement in target demographics
• Handle customer relations issues, enabling quick resolution and client satisfaction
• Managing and defining Outbound lead channels which includes data research on targeted companies, campaign management, and follow-up management.
• Attend networking events, community events, and hearings to generate leads
• Upsell additional products as the need arise

Desired Skill

• Knowledge of legalities and compliances in staff augmentation in the IT industry
• Proven ability to influence cross-functional teams
• Good communication skills

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.

Job Description/Responsibilities

• Candidate should be strong in Core ABAP + S4HANA Implementation/Migration

• Good hands-on knowledge on Core ABAP and OOABAP

• Must have Implementation and Migration to S4HANA.

• Good hands-on experience and knowledge is required on OData, CDS, AMDP, RAP

• Experience in SAP Enhancement Framework.

• Experience in Dialog Programming, Smart Forms, SAP Script, User Exits.

• Dictionary, Business Add-In, BADIs, Data Interfaces, RFC, ALE, ALV, IDOCS, BDC, BAPI, BDC, LSMW, Web-UI.

• Good Knowledge on SAP Tables Fields, Domains and on creating Search Help.

• Experience in SQL Trace, SAP Run time analysis, Debugging ABAP, Query Info Sets.

• Experience with report development, performance tuning, modification, and support of SAP customized and standard programming.

• Knowledge in web services (SOAP/REST/HTTP POST).

• Proven success in contributing to a team-oriented environment.

• Result oriented and able to work independently.

• Proven ability to work creatively and analytically in a problem-solving environment.

• Excellent leadership communication written and oral and interpersonal skills.

• Strong sense of ownership and commitment.

• Adhering and contributing to guidelines and quality standards.

Job Title: HR Recruiter

Company: JNJ Technologies & Services LLP

Location: Work from Home

Job Description:

We're looking for a motivated HR Recruiter to help us expand our sales team by hiring Sales Executives focused on selling annual car and bike subscription products. As our platform grows, we need a steady influx of skilled sales personnel. This role will also involve recruiting for BDA, TL, and BDM profiles.

Key Details:

Experience: Open to all levels

Qualifications: B.Com, BBA, MBA in HR

Working Days: 6 days/week (Sundays off)

Shift: 10:00 am - 7:00 pm

Language Requirement: Proficiency in English

Laptop/Wi-Fi: Candidates should have their own laptop.

Compensation:

Training: 7 days unpaid

Salary: Per successful hire, earn ₹1000-₹3000, depending on the designation.

Compensation:

Initial 2 Months: Performance-based period; no fixed salary. You'll earn ₹1000 - ₹3000 per candidate successful hire, depending on the designation.

After the performance period, additional compensation may be reviewed based on performance and hiring success.

Must have

Proven understanding of Data Modelling and Analytics

Advanced knowledge and experience working with relational and NOSQL databases as well as data warehousing.

Experience of working with Microsoft’s BI technology stack SSIS, SSRS, SSAS (tabular model), Power BI, Power Query, Excel.

Experience with Microsoft Azure Analytics tools and technologies such as Azure Synapse Analytics, Azure Data Bricks, HD Insight, Azure Data Factory, Azure Machine learning, Azure Stream Analytics, Azure Data Lake, Azure Analysis Services, Event Hubs, Azure Data Explorer, Azure Data Share, Azure Time Series Insights.

Good interpersonal, verbal, and written communication skills with a proven ability to explain complex technical ideas and problems clearly to non-experts

Good to have

Self-motivated, enthusiastic, and strong problem solving skills

Cultural awareness and experience of delivering solutions internationally working in an agile project delivery environment.

Experience maintaining source control in Git or Azure DevOps

Strong experience with various Software Development Life cycles (SDLC) methodologies: Agile or Standard waterfall initiatives

Proven experience working with various Project Management practices and disciplines

Demonstrated strong interpersonal skills to augment a close working relationship with cross functional teams

A history of designing and implementing reporting solutions that are both functional and engaging

Meticulous attention to detail

Proficiency in DAX, MDX, Python/Scala/Spark SQL

Non-profit sector knowledge/experience

Cosmos DB

Machine Learning

Roles & Responsibilities

Provide the organisation with accurate and timely BI solutions based on requirements gathered through business partnering activities

Maintain and support existing BI solutions

Proactively source new and innovative solutions that provide clear business value and construct ‘proof of concepts’ to demonstrate the new solutions

Proactively identify any technical project risks/issues related to BI

Estimate and deliver BI project tasks to agreed prioritisation and timeframes

Support the IT Service Delivery team with the BI reporting environment

Assist product owners in designing, agreeing, implementing and managing changes to the BI environment

Maintain accurate technical documentation

Communicate data and insights

• Python developer with Django experience
• 6-8 yrs of total experience
• Strong communication is a MUST