Technical Lead - MS Dynamics 365 CRM

Location: Pune (WFH)

Shifts: Night (6:30 PM – 3:30 AM) / Early Morning (4 AM – 1 PM)

About StarApps Studio

StarApps Studio is a product-driven SaaS company building Shopify apps that power thousands of online stores. We’ve developed 6 highly-rated Shopify apps (averaging 4.9★) used by 30,000+ Shopify merchants worldwide, including over 1,000 Shopify Plus stores. In just a few years, our bootstrapped team grew from $5.5M to $10M in Annual Recurring Revenue (ARR) by obsessing over quality and merchant success. We’re a tight-knit, 20-person team based in Baner, Pune, on a mission to help e-commerce brands create world-class shopping experiences.

About the Role

As a Customer Success Specialist, you’ll be the voice and support behind our mission to simplify e-commerce success. Your role is pivotal in building relationships, ensuring customer satisfaction, and driving engagement. This is primarily a chat process role.

Key Responsibilities

• Engage with Clients: Provide exceptional support over chat and email with clear, positive, and trustworthy communication. Occasionally handle calls if required.
• Build Relationships: Create meaningful connections, ensuring every merchant interaction is memorable.
• Master Products: Develop expertise in our products to offer confident and effective guidance.
• Drive Value: Identify opportunities to enhance customer experiences and boost sales.
• Solve Problems: Proactively resolve issues, building trust and satisfaction.
• Advocate for Feedback: Share customer insights with internal teams to fuel continuous improvement.

What We’re Looking For

• Technical Troubleshooter: A logical mindset with strong debugging skills and hands-on HTML/CSS experience. (Mandatory)
• Charismatic Communicator: A confident, engaging personality with excellent verbal and written communication skills.
• Customer-Focused Experience: Proven success in customer-facing roles, preferably in B2B SaaS or e-commerce.
• Strategic Thinker: Ability to anticipate customer needs and create value-driven interactions.
• Quick Learner: A strong desire to learn about our products and the e-commerce landscape.

Why Join Us

• Competitive Pay: Reflective of your contributions and impact.
• Supportive Leadership: Work with innovative leaders who encourage growth.
• Career Development: Opportunities for learning and professional advancement.
• Recognition: A culture that celebrates hard work and creativity.
• Inspiring Environment: Be part of a team driving innovation in e-commerce.

What to Expect in the Hiring Process

1. Written Assignment: Showcase your support and technical skills, and your approach to customer success.
2. Call with CS Head: Gain insights into our vision and discuss how you can contribute.
3. Final Culture Fit & Salary Negotiation Round with the Founder.

Lead Data Scientist role

Work Location- Remote

Exp-7+ Years Relevant

Notice Period- Immediate

Job Overview:

We are seeking a highly skilled and experienced Senior Data Scientist with expertise in Machine Learning (ML), Natural Language Processing (NLP), Generative AI (GenAI) and Deep Learning (DL).

Mandatory Skills:

• 5+ years of work experience in writing code in Python

• Experience in using various Python libraries like Pandas, NumPy

• Experience in writing good quality code in Python and code refactoring techniques (e.g.,IDE’s –  PyCharm, Visual Studio Code; Libraries – Pylint, pycodestyle, pydocstyle, Black)

• Strong experience on AI assisted coding experience.

• AI assisted coding for existing IDE's like vscode.

• Experimented multiple AI assisted tools and done research around it.

• Deep understanding of data structures, algorithms, and excellent problem-solving skills

• Experience in Python, Exploratory Data Analysis (EDA), Feature Engineering, Data Visualisation

 • Machine Learning libraries like Scikit-learn, XGBoost

 • Experience in CV, NLP or Time Series.

• Experience in building models for ML tasks (Regression, Classification)

• Should have Experience into LLM, LLM Fine Tuning, Chatbot, RAG Pipeline Chatbot, LLM Solution, Multi Modal LLM Solution, GPT, Prompt, Prompt Engineering, Tokens, Context Window, Attention Mecanism, Embeddings

• Experience of model training and serving on any of the cloud environments (AWS, GCP,Azure)

• Experience in distributed training of models on Nvidia GPU’s

• Familiarity in Dockerizing the model and create model end points (Rest or gRPC)

• Strong working knowledge of source code control tools such as Git, Bitbucket

• Prior experience of designing, developing and maintaining Machine Learning solution through its Life Cycle is highly advantageous

• Strong drive to learn and master new technologies and techniques

• Strong communication and collaboration skills

• Good attitude and self-motivated

Mandatory Skills- *Strong Python coding, Machine Learning, Software Engineering, Deep Learning, Generative AI, LLM, AI Assisted coding tools.*

We are looking for a results-oriented Performance Marketing Expert who lives and breathes Meta Ads and Google Ads, understands funnels deeply, and can consistently improve CPL and lead quality.

Key Responsibilities

• Plan, execute, and optimise Meta (Facebook & Instagram) and Google Ads campaigns end-to-end
• Drive high-quality leads at lower cost through continuous optimisation
• Analyse funnels from ad → landing page → lead → conversion and identify drop-offs
• Perform audience research, creative testing, and scaling strategies
• Optimise:
• CPL (Cost per Lead)
• Lead quality
• ROAS / conversion efficiency
• Work closely with:
• Sales & counselling team (to assess lead quality)
• Creative team (for ad copies, creatives, hooks)
• Tech/landing page team (for conversion optimisation)
• Run A/B tests on:
• Creatives
• Ad copies
• Audiences
• Landing pages
• Track and report performance using Meta Ads Manager, Google Ads, GA, and tracking tools
• Actively reduce ad waste and scale winning campaigns

Role: Full-Time, Long-Term Required: Python, SQL Preferred: Experience with financial or crypto data

OVERVIEW

We are seeking a data engineer to join as a core member of our technical team. This is a long-term position for someone who wants to build robust, production-grade data infrastructure and grow with a small, focused team. You will own the data layer that feeds our machine learning pipeline—from ingestion and validation through transformation, storage, and delivery.

The ideal candidate is meticulous about data quality, thinks deeply about failure modes, and builds systems that run reliably without constant attention. You understand that downstream ML models are only as good as the data they consume.

CORE TECHNICAL REQUIREMENTS

Python (Required): Professional-level proficiency. You write clean, maintainable code for data pipelines—not throwaway scripts. Comfortable with Pandas, NumPy, and their performance characteristics. You know when to use Python versus push computation to the database.

SQL (Required): Advanced SQL skills. Complex queries, query optimization, schema design, execution plans. PostgreSQL experience strongly preferred. You think about indexing, partitioning, and query performance as second nature.

Data Pipeline Design (Required): You build pipelines that handle real-world messiness gracefully. You understand idempotency, exactly-once semantics, backfill strategies, and incremental versus full recomputation tradeoffs. You design for failure—what happens when an upstream source is late, returns malformed data, or goes down entirely. Experience with workflow orchestration required: Airflow, Prefect, Dagster, or similar.

Data Quality (Required): You treat data quality as a first-class concern. You implement validation checks, anomaly detection, and monitoring. You know the difference between data that is missing versus data that should not exist. You build systems that catch problems before they propagate downstream.

WHAT YOU WILL BUILD

Data Ingestion: Pipelines pulling from diverse sources—crypto exchanges, traditional market feeds, on-chain data, alternative data. Handling rate limits, API quirks, authentication, and source-specific idiosyncrasies.

Data Validation: Checks ensuring completeness, consistency, and correctness. Schema validation, range checks, freshness monitoring, cross-source reconciliation.

Transformation Layer: Converting raw data into clean, analysis-ready formats. Time series alignment, handling different frequencies and timezones, managing gaps.

Storage and Access: Schema design optimized for both write patterns (ingestion) and read patterns (ML training, feature computation). Data lifecycle and retention management.

Monitoring and Alerting: Observability into pipeline health. Knowing when something breaks before it affects downstream systems.

DOMAIN EXPERIENCE

Preference for candidates with experience in financial or crypto data—understanding market data conventions, exchange-specific quirks, and point-in-time correctness. You know why look-ahead bias is dangerous and how to prevent it.

Time series data at scale—hundreds of symbols with years of history, multiple frequencies, derived features. You understand temporal joins, windowed computations, and time-aligned data challenges.

High-dimensional feature stores—we work with hundreds of thousands of derived features. Experience managing, versioning, and serving large feature sets is valuable.

ENGINEERING STANDARDS

Reliability: Pipelines run unattended. Failures are graceful with clear errors, not silent corruption. Recovery is straightforward.

Reproducibility: Same inputs and code version produce identical outputs. You version schemas, track lineage, and can reconstruct historical states.

Documentation: Schemas, data dictionaries, pipeline dependencies, operational runbooks. Others can understand and maintain your systems.

Testing: You write tests for pipelines—validation logic, transformation correctness, edge cases. Untested pipelines are broken pipelines waiting to happen.

TECHNICAL ENVIRONMENT

PostgreSQL, Python, workflow orchestration (flexible on tool), cloud infrastructure (GCP preferred but flexible), Git.

WHAT WE ARE LOOKING FOR

Attention to Detail: You notice when something is slightly off and investigate rather than ignore.

Defensive Thinking: You assume sources will send bad data, APIs will fail, schemas will change. You build accordingly.

Self-Direction: You identify problems, propose solutions, and execute without waiting to be told.

Long-Term Orientation: You build systems you will maintain for years.

Communication: You document clearly, explain data issues to non-engineers, and surface problems early.

EDUCATION

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

TO APPLY

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

• PHP / Laravel developer duties and responsibilities

• Develop, record and maintain cutting edge web-based PHP applications on portal plus premium service platforms

• Build innovative, state-of-the-art applications and collaborate with the User Experience (UX) team

• Ensure HTML, CSS, and shared JavaScript is valid and consistent across applications

• Prepare and maintain all applications utilizing standard development tools

• Utilize backend data services and contribute to increase existing data services API

• In depth knowledge of object-oriented PHP and Laravel 5 PHP Framework

• Hands on experience with SQL schema design, SOLID principles, REST API design

• MySQL profiling and query optimization

Responsible for disposal of trash, waste, and other disposable material. Monitoring the use of equipment and supplies within the office. Dealing with queries or requests from the visitors and employees. Coordinating the maintenance and repair of office equipment.

Skillsets required

Fullstack PHP Developer

Backend in Core PHP with API integration experience Must have good US experience HTML5 CSS3 Angular JavaScript  

Job Description

We are looking for an iOS/Mac developer responsible for the development and maintenance of applications aimed at a range of iOS devices including mobile phones, tablets and computers. Your primary focus will be development of iOS/Mac applications and their integration with back-end services.

 Responsibilities

• Design and build applications for the iOS/Mac platform
• Ensure the performance, quality, and responsiveness of applications
• Collaborate with a team to define, design, and ship new features
• Identify and correct bottlenecks and fix bugs

Skills

• Experience with Objective-C or Swift and Cocoa Touch.
• Experience with iOS frameworks such as Core Data, Core Animation, Foundation, Web Kit etc.
• Experience with offline storage, threading, and performance tuning
• Familiarity with RESTful APIs to connect iOS applications to back-end services
• Experience with third-party libraries and APIs & Other tools SMS, GPS, APNS, Email, XML parsing, GUI, UI designs, writing XML classes, UIKit, etc
• Understanding of Apple’s design principles and interface guidelines
• Experience with performance and memory tuning with tools.
• Familiarity with cloud message APIs and push notifications
• Proficient understanding of code versioning tools (Git or SVN)