Data Scientist

Key Responsibilities

 Architect and implement enterprise-grade Lakehouse solutions using Databricks

 Design and deliver scalable batch and real-time data pipelines using Apache Spark (PySpark/SQL)

 Build ETL/ELT pipelines, incremental data loads, and metadata-driven ingestion frameworks

 Implement and optimize Databricks components: Delta Lake, Delta Live Tables, Autoloader, Structured Streaming, and Workflows

 Design large-scale data warehousing solutions with 3NF and dimensional modeling

 Establish data governance, security, and data quality frameworks, including Unity Catalog

 Lead ML lifecycle management using MLflow and drive AI use cases (RAG, AI/BI)

 Manage cloud-native deployments on Microsoft Azure and integrate with enterprise systems (e.g., ServiceNow)

 Drive CI/CD, DevOps practices, and performance optimization of Spark workloads

 Provide technical leadership, mentor teams, and ensure successful delivery

 Collaborate with stakeholders to translate business requirements into scalable solutions

Required Skills & Experience

 10+ years in Data Engineering / Analytics / AI with strong delivery ownership

 Deep expertise in Databricks ecosystem (Notebooks, Delta Lake, Workflows, AI/BI, Apps, Genie)

 Strong hands-on experience with: 

a. Apache Spark (performance tuning & scalability)

b. Python and SQL

 Proven experience in: 

a. Solution architecture and large-scale data platforms

b. Data warehousing and advanced data modeling

c. Batch and real-time processing systems

 Experience with: 

a. Azure Databricks and Azure data services

b. MLflow and MLOps practices

c. ServiceNow or enterprise integrations

 Exposure to AI technologies (RAG, LLM-based solutions)

 Strong stakeholder management and leadership skills

Certifications (Preferred)

 Databricks certifications aligned to data engineering and AI tracks, such as: 

a. Databricks Certified Data Engineer Associate (validates foundational ETL, Spark, and Lakehouse capabilities)

b. Databricks Certified Data Engineer Professional (advanced expertise in pipeline design, optimization, and governance)

 Certifications in Databricks Machine Learning or Generative AI tracks (e.g., ML Associate / Professional) for AI-driven use cases

 Relevant cloud certifications in Microsoft Azure or Amazon Web Services for platform deployment and architecture

Build, deploy, and maintain production-grade AI/ML solutions for Fortune 500 enterprise clients on Google Cloud Platform. Hands-on role focused on shipping scalable AI systems across GenAI, agentic workflows, traditional ML, and computer vision.

Key Responsibilities:

Generative AI & Agentic Systems

• Design and build GenAI applications (RAG, agentic workflows, multi-agent systems)
• Develop intelligent systems with memory, planning, and reasoning capabilities
• Implement prompt engineering, context optimization, and evaluation frameworks
• Build observable and reliable multi-agent architectures

Traditional ML & Computer Vision

• Develop ML pipelines (forecasting, recommendation, classification, regression)
• Build production-grade computer vision solutions (document AI, image analysis)
• Perform feature engineering, model optimization, and benchmarking

MLOps & Production Engineering

• Own end-to-end ML lifecycle (CI/CD, testing, versioning, deployment)
• Build scalable APIs, microservices, and data pipelines
• Monitor models, detect drift, and implement A/B testing frameworks

Knowledge Solutions

• Architect knowledge graphs and semantic search systems
• Implement hybrid retrieval (vector + keyword search)

Client Collaboration

• Present technical solutions to enterprise clients
• Collaborate with architects, data engineers, and business teams

Required Skills & Experience

• 3–6 years of hands-on ML Engineering experience
• Strong Python and software engineering fundamentals
• Experience shipping production ML systems on cloud (GCP preferred)
• Experience across GenAI, Traditional ML, Computer Vision
• MLOps experience and RAG-based systems

Preferred

• GCP Professional ML Engineer certification
• Knowledge graphs / semantic search experience
• Experience in regulated industries (Healthcare / BFSI)
• Open-source or technical publications

Store Manager – Apparel Retail

Job Summary:

We are looking for an experienced and customer-focused Store Manager to lead day-to-day retail operations in our apparel store. The role involves driving sales, managing store staff, maintaining visual merchandising standards, and ensuring excellent customer experience while achieving business targets.

Key Responsibilities:

Manage complete store operations including sales, staff, inventory, and customer service

Drive store sales and achieve monthly/quarterly targets

Recruit, train, motivate, and manage store team performance

Ensure high standards of customer service and handle customer escalations

Maintain visual merchandising as per brand guidelines

Monitor stock levels, minimize shrinkage, and ensure accurate inventory control

Analyze sales reports and implement action plans for improvement

Ensure compliance with company policies, SOPs, and safety standards

Key Skills & Competencies:

Strong leadership and team management skills

Excellent communication and customer-handling abilities

Sales-driven mindset with retail analytics knowledge

Visual merchandising and fashion sense

Problem-solving and decision-making skills

Qualifications & Experience:

Graduate in any discipline (MBA Retail preferred)

3–7 years of experience in apparel/fashion retail, with at least 1–2 years as Store Manager

🔧 Key Responsibilities:

Design, develop, and maintain Salesforce applications using LWC, Apex, and Visualforce

Configure Salesforce, build workflows, and automate business processes

Collaborate with cross-functional teams to deliver robust technical solutions

Troubleshoot and resolve Salesforce issues efficiently

Ensure top-notch code quality through best practices, testing, and documentation

✅ Mandatory Skills:

CPQ (Must have), General Salesforce Development (apex and LWC).

Strong in Apex, Triggers, SOQL/SOSL, and Salesforce configuration

Experience with Salesforce Integration & Deployment Tools (Change Sets, ANT, Git)

Solid understanding of Salesforce Security Model & Governor Limits

About Digit88 

Digit88 empowers digital transformation for innovative and high growth B2B and B2C SaaS companies as their trusted offshore software product engineering partner! 

We are a lean mid-stage software company, with a team of 75+ fantastic technologists, backed by executives with deep understanding of and extensive experience in consumer and enterprise product development across large corporations and startups. We build highly efficient and effective engineering teams that solve real and complex problems for our partners. 

With more than 50+ years of collective experience in areas ranging from B2B and B2C SaaS, web and mobile apps, e-commerce platforms and solutions, custom enterprise SaaS platforms and domains spread across Conversational AI, Chatbots, IoT, Health-tech, ESG/Energy Analytics, Data Engineering, the founding team thrives in a fast paced and challenging environment that allows us to showcase our best. 

The Vision: To be the most trusted technology partner to innovative software product companies world-wide

The Opportunity: 

As the Data Science Lead, you will own and drive the company's data initiatives, managing a team of data scientists, and ensuring the

As a Data Scientist II, you will be part of the Product Risk Operations team that owns the development of AI-powered technology that helps our clients make communities safer and more resilient. Our technology helps our customers in reducing carbon emissions, reducing infrastructure risk and avoiding fatalities, a fact that we pride ourselves in.

As a part of the Risk Operations team, you will be working on a wide range of activities related to end-to-end Machine Learning (ML) deployments, research and development of ML product features to support internal and external stakeholders.  This is a great role for someone who enjoys variety and is also looking to expand their skill set in a structured fashion.

What You’ll Do

• Become a subject matter expert on products, including understanding how AI can be used in the utilities industry to enable our clients desired outcomes.
• Work closely with cross-functional teams to identify opportunities, design experiments and deploy repeatable and scalable machine learning solutions that drive business impact.
• Lead design of experiments and hypothesis tests related to machine learning product features development. 
• Lead design, implementation, and deployment of machine learning models to support existing as well as new customers.
• Communicate findings and recommendations to both technical and non-technical stakeholders through clear visual presentations.
• Monitor and analyze machine learning model performance and data accuracy.
• Mentor junior staff members.
• Stay current with best practices in data science, machine learning and AI.

Who You Are

• 3-5 years of experience building and deploying machine learning models
• Master’s or PHD in statistics, mathematics, computer science or another quantitative field
• Strong problem solving skills with emphasis on product development.
• Well versed in programming languages such as R or Python with experience using libraries such as pandas, scikit-learn, tensor flow .
• Experience with SQL and relational databases for data extraction and manipulation.
• Experience using a variety of Machine Learning techniques for Predictive Modeling, Classification, Natural Language Processing (including Large Language Models), Content Recommendation Systems, Time Series Techniques 
• Passionate about being up-to-date with the latest developments in Machine Learning 
• Strong organizational, time management, and communication skills
• High degree of accountability
• Utility, Infrastructure or Energy related field experience is a plus

Benefits/Culture @ Digit88: 

• Comprehensive Insurance (Life, Health, Accident) 
• Flexible Work Model 
• Accelerated learning & non-linear growth 
• Flat organisation structure driven by ownership and accountability. 
• Opportunity to own and be a part of some of the most innovative and promising AI/SaaS product companies in North America and around the world. 
• Accomplished Global Peers - Working with some of the best engineers/professionals globally from the likes of Apple, Amazon, IBM Research, Adobe and other innovative product companies 
• Ability to make a global impact with your work, leading innovations in Conversational AI, Energy/Utilities, ESG, HealthTech, IoT, PLM and more. 

You will work with a founding team of serial entrepreneurs with multiple successful exits to their credit. The learning will be immense just as will the challenges. 

This is the right time to join us and partner in our growth!

We are looking for a self motivated and passionate individual, with strong desire to learn and ability to lead. This position is for a Flight Test Engineer, with exposure to building and flying sUAS (RC Multirotors and Fixed wings). See the detailed job description below.

Responsibilities

• Plan and execute flight test plans for new software features, electronics, sensors, and payloads.
• Perform hands-on mechanical and electrical integration of new hardware components on the internal fleet of test vehicles for R&D and testing.
• Troubleshoot and debug any components of a drone in the office or in the field. Maintenance of vehicles – keep the fleet ready for flight tests.
• Participate in defining and validating customer workflows and enhancing User experience.
• Coordinate cross-team efforts among FlytBase engineers to resolve issues identified during flight tests.
• Drive collaboration with FlytBase Developer team, Business Development team and Customer Support team to incorporate customer feedback and feature requests into FlytBase’s product development cycle.
• Learn about the domain and competitors to propose new drone applications, as well as, improvements in existing applications

Experience/Skills

• Experience in flight testing and operating/piloting small UAS and/or RC aircraft (both fixed-wing and multirotor systems).
• Experience in using flight-planning and ground control station software.
•Familiarity with UAV platforms, like, Pixhawk, DJI, Ardupilot and PX4.
•Experience in integrating, operating, and tuning autopilots on a variety of unmanned vehicles.
•Basic knowledge of electrical test equipment (multimeter, oscilloscope) and UAS sensors.
•Ability to work hands-on with electro-mechanical systems including assembly, disassembly, testing, troubleshooting.
•Good verbal and written communication skills.

Good to have

• RF communications fundamentals.
• Passionate about aerial robots i.e. drones.
• Programming languages and scripting for engineering use (C++, C, MATLAB, Python).

Compensation:
As per industry standards.

Perks:
+ Fast-paced Startup culture
+ Hacker mode environment
+ Great team
+ Flexible work hours
+ Informal dress code
+ Free snacks