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- To ANALYZE Business Requirements end-to-end & Documenting Requirements
- Write Good User Stories (Preferably using INVEST techniques)
- Specify acceptance criteria for features and user stories to ensure delivery of requirements that meet or exceed the business needs
- Create wireframe prototypes, Mockups and documenting them using Visio or similar tools
- Document requirements by creating use cases, functional and requirement specifications documents
- Collaborate with internal teams to ensure proper documentation of the product capabilities
- Own the Product backlog, elaborating and prioritizing user stories to be included in the backlog
- Presenting the product capabilities, gathering requirements and identifying gaps
- Interface with clients and partners to understand business environments, current and future requirements; participate as a solutions expert
- Roadmap prioritization, conceptualize new product features, and assist with competitive positioning
Job Description:
As a QA Associate at Binocs, you will play a pivotal role in ensuring the highest quality standards for our software products. With a direct reporting line to the QA Lead, you will be involved in designing, implementing, and executing test plans to identify software issues. This role is ideal for someone with a strong technical background in engineering, experience in fintech or finance software companies, and a passion for quality assurance and detail-oriented testing.
Key Responsibilities:
- Test Plan Development: Create comprehensive and well-structured test plans and test cases based on product specifications.
- Quality Assurance: Execute test cases (manual or automated) and analyze results to ensure software quality.
- Issue Documentation: Document and track bugs, as well as collaborate with the development team to ensure timely resolution.
- Process Improvement: Identify, recommend, and implement improvements in testing processes to enhance efficiency and quality.
- Software Validation: Validate that product features meet requirement specifications and are free of defects.
- Cross-functional Collaboration: Work closely with the product management and development teams to understand product vision and deliver software that aligns with customer and market needs.
Qualifications:
- Bachelor’s degree in Engineering, Computer Science, or related field.
- 2+ years of experience in quality assurance, preferably within fintech or finance software companies.
- Familiarity with software QA methodologies, tools, and processes.
- Experience in writing clear, concise, and comprehensive test plans and test cases.
- Hands-on experience with both white box and black box testing.
- Strong knowledge of software QA metrics, including bug tracking and reporting tools.
- Excellent analytical skills and attention to detail.
- Effective communication skills and the ability to work in a fast-paced environment.
Benefits:
Joining Binocs means being part of a passionate team dedicated to transforming the loan management landscape. We offer a dynamic, innovative environment where your work directly contributes to our vision of efficient, transparent, and data-driven loan management. Our competitive compensation package, including equity, reflects our commitment to attracting and retaining top talent.
About Us:
Binocs.co empowers institutional lenders with next-generation loan management software, streamlining the entire loan lifecycle and facilitating seamless interaction among stakeholders.
Team: Binocs.co is led by a passionate team with extensive experience in financial technology, lending, AI, and software development.
Investors: Our journey is backed by renowned investors who share our vision for transforming the loan management landscape: Beenext, Arkam Ventures, Accel, Saison Capital, Blume Ventures, Premji Invest, and Better Capital.
ORAI is a Global Conversational AI Platform to build 1:1 instant conversations with customers over text, Voice, and Messenger apps. ORAI is a result of highly experienced and driven experts who understand AI, ML, Design Thinking, and Robotics.
We Experience the future of customer interaction with our AI Chatbot featuring conversational machine learning—providing intelligent, natural language conversations, personalized user experiences, and continuous improvement in understanding and responding to user queries, all tailored to enhance customer engagement and satisfaction.
We Are introducing our cutting-edge AI Chatbot—an advanced virtual assistant designed to provide instant customer support, personalized interactions, and streamlined workflows. With natural language processing, multichannel integration, and scalable capabilities, our AI Chatbot revolutionizes user engagement, offering data-driven insights and boosting overall operational efficiency for businesses of all sizes.
Position: Sales Executive/BDE
Location: Bangalore
Type: Full-time
Requirements:
● 1-2 years in outbound focused sales position desired; customer-oriented background required (sales, support, customer service) in B2B SAAS preferably
● Bachelor’s degree in business, marketing, or related field
● Excellent communication and interpersonal skills
● The ability to generate leads independently.
● Willingness to learn and apply the fundamentals of the BANT/MEDDIC Sales process approach ● Great to have-Artificial Intelligence, Machine Learning and/or Computer Vision
● Knowledge of the AI industry and emerging technologies
Key Responsibilities:
● Prospecting: As an SDR you will be responsible for identifying and qualifying high-potential customers via cold calling, networking, and e-mail, as well as utilizing Internet information sources to build and maintain a lead development pipeline.
● Lead Generation and Nurturing: You will follow up with qualified leads and build a relationship with them, answering their questions and providing helpful information to move them closer to a buying decision.
● Sales Enablement: You will work closely with the sales team to understand their needs and help them be more effective in closing deals. This can involve creating sales collateral, providing market insights, and organizing training sessions.
● Data Management: You’ll be responsible for keeping accurate and up-to-date records of all their activities and interactions with potential customers. This data is used to inform the sales process and improve overall performance.
● Pipeline Management: You will be managing the pipeline of leads and ensuring that it is always full of high-quality prospects
Docker
Kubernetes
Amazon Web Services (AWS)Position Overview: We are seeking a talented and experienced Cloud Engineer specialized in AWS cloud services to join our dynamic team. The ideal candidate will have a strong background in AWS infrastructure and services, including EC2, Elastic Load Balancing (ELB), Auto Scaling, S3, VPC, RDS, CloudFormation, CloudFront, Route 53, AWS Certificate Manager (ACM), and Terraform for Infrastructure as Code (IaC). Experience with other AWS services is a plus.
Responsibilities:
• Design, deploy, and maintain AWS infrastructure solutions, ensuring scalability, reliability, and security.
• Configure and manage EC2 instances to meet application requirements.
• Implement and manage Elastic Load Balancers (ELB) to distribute incoming traffic across multiple instances.
• Set up and manage AWS Auto Scaling to dynamically adjust resources based on demand.
• Configure and maintain VPCs, including subnets, route tables, and security groups, to control network traffic.
• Deploy and manage AWS CloudFormation and Terraform templates to automate infrastructure provisioning using Infrastructure as Code (IaC) principles.
• Implement and monitor S3 storage solutions for secure and scalable data storage
• Set up and manage CloudFront distributions for content delivery with low latency and high transfer speeds.
• Configure Route 53 for domain management, DNS routing, and failover configurations.
• Manage AWS Certificate Manager (ACM) for provisioning, managing, and deploying SSL/TLS certificates.
• Collaborate with cross-functional teams to understand business requirements and provide effective cloud solutions.
• Stay updated with the latest AWS technologies and best practices to drive continuous improvement.
Qualifications:
• Bachelor's degree in computer science, Information Technology, or a related field.
• Minimum of 2 years of relevant experience in designing, deploying, and managing AWS cloud solutions.
• Strong proficiency in AWS services such as EC2, ELB, Auto Scaling, VPC, S3, RDS, and CloudFormation.
• Experience with other AWS services such as Lambda, ECS, EKS, and DynamoDB is a plus.
• Solid understanding of cloud computing principles, including IaaS, PaaS, and SaaS.
• Excellent problem-solving skills and the ability to troubleshoot complex issues in a cloud environment.
• Strong communication skills with the ability to collaborate effectively with cross-functional teams.
• Relevant AWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified DevOps Engineer, etc.) are highly desirable.
Additional Information:
• We value creativity, innovation, and a proactive approach to problem-solving.
• We offer a collaborative and supportive work environment where your ideas and contributions are valued.
• Opportunities for professional growth and development. Someshwara Software Pvt Ltd is an equal opportunity employer.
We celebrate diversity and are dedicated to creating an inclusive environment for all employees.
● Grow our partner network and,
● Strike business partnerships and alliances to help our network scale by generating
qualified leads.
You will be responsible for the overall revenue target for the company. You will lead a team
of 4-5 members when you join.
About the startup
● We are a young insurance-technology start-up that is trying to augment human with
technology to enable them to sell more and therefore lead to higher earnings
● We are looking for people who share our vision, are passionate about fintech, and
have the potential to become thought leaders in the field.
Roles and Responsibilities
Recruitment
Individual Partners
When it comes to lead generation, it generally becomes a little bit tougher to get if we're new and we are without a client list. But there's no reason to wait to talk or reach people who already trust us, such as friends, family, former co-workers.
We need to be active in our community – volunteering is a good way to establish our
reputation as head of sales. But we can also show off our insurance industry chops by:
● Hosting insurance seminars for small-business owners.
● Taking part in area meetups or online forums.
Business Partners
You will be responsible to onboard wealth managers, financial planners, health tech
companies who want to upsell health insurance and make a business case for them to
generate revenue via this channel.
Training
Individual Partners
● We provide them a user-friendly platform from where they can easily register for free
and can access the Training Program via Mobile application/ website.
● Throughout the 7 days of the online course, it should be self-explanatory that they
will be able to understand the process, requirements, benefits, advantages of the
training –
○ Is your health covered enough?
○ Why do you need health insurance?
○ How to be smart about taxes.?
○ How much income can I generate by becoming a partner?Business Partners
● Build a process based on the business requirement of the partner and enable the
partner to upsell health insurance effectively.
● Ensure technology, marketing, and operation undertakings are implemented to
ensure smooth functioning of the created business processes
● Execute partnership agreements and timeline to take the partner live.
Activate Partners
Individual Partners
Networking
Tons of people need insurance, but most of them aren't sitting in any agency. They need to
start meeting them by:
● Attending meetup groups and networking events.
● Getting active on social media.
● Connecting with their alumni association.
Expand their Horizons
If we only go to the same old events, we’re only going to meet the same old people. We
need to do some homework to find out which events attract ideal clients. For example, we
might take our business cards to -
● Charity events.
● Meetup groups.
● Small business associations.
Use Social Media
Social media sites, such as LinkedIn, Facebook, Instagram, Twitter, can be a networking
goldmine. Every business professional has a LinkedIn profile we can endorse, a Facebook
page we can like, or tweets we can retweet.
Business Partners
Launch OneAssure as an insurance partner with the business partner. Help the partner
achieve their revenue outcome by planning and executing a plan in conjunction with
Marketing activities.
Experience Required
5-8 years of Marketing/Business Development/Sales/ Operations experience in an Insurance Company or Broker or any Insurance Intermediary.
Skills Required
● Strong communication, networking, and persuasion capabilities
● Data-driven problem-solving attitude
● Go-getter with a positive attitude and the ability to think outside the box
a global provider of Business Process Management and Outsourcing solutions company
Appian Developer / Sr Appian Developer
· Extensive experience in Appian BPM application development
· Knowledge of Appian architecture and its objects best practices
· Participate in analysis, design, and new development of Appian based applications
· Team leadership and provide technical leadership to Scrum teams
· Must be able to multi-task, work in a fast-paced environment and ability to resolve problems faced
by team
· Build applications: interfaces, process flows, expressions, data types, sites, integrations, etc.
· Proficient with SQL queries and with accessing data present in DB tables and views
· Experience in Analysis, Designing process models, Records, Reports, SAIL, forms, gateways, smart
services, integration services and web services
· Experience working with different Appian Object types, query rules, constant rules and expression
rules
Qualifications
· At least 6 years of experience in Implementing BPM solutions using Appian 19.x or higher
· Over 8 years in Implementing IT solutions using BPM or integration technologies
· Certification Mandatory- L1 and L2 a
· Experience in Scrum/Agile methodologies with Enterprise level application development projects
· Good understanding of database concepts and strong working knowledge any one of the major
databases e g Oracle SQL Server MySQL
Additional information
Skills Required
· Appian BPM application development on version 19.x or higher
· Experience of integrations using web services e g XML REST WSDL SOAP API JDBC JMS
· Good leadership skills and the ability to lead a team of software engineers technically
· Experience working in Agile Scrum teams
· Good Communication skills
PHPWhat we are looking for:
=> Bachelors/Masters degree in Computers/IT or equivalent.
=> 5-8 years of relevant experience in web development.
=> Strong PHP, MySQL & Codeigniter (MVC Framework) hands-on experience (at least 12-15 projects).
=> Database schema design and query optimization.
=> AWS hands-on experience with EC2, ELB, RDS, CloudFront, Lambda, code deploy, etc.
=> Experience with e-commerce platforms, payment gateways will be a big advantage, especially on content-heavy platforms.
=> Hands-on experience and a good understanding of GIT Commands.
=> Good to have experience with the RESTful API.
=> Ability to decipher and write complex database queries for analysis and optimization.
=> Troubleshoot, test, and maintain the core product software and databases to ensure strong optimization and functionality.
=> Understanding of scalability issues and their solutions.
=> Need to be articulate with a good degree of written & oral communication skills.
=> Exposure to UI/UX would be a added value.
=> We are looking for an immediate joiner (within 15 days or less).
=> This role may include night shifts.
Head Office: Koramangala, Bengaluru, Karnataka, India.
Work Location: Work From Home
Working Days: Monday to Friday
Shift & Timming: Regular (09:00 AM to 06:00 PM) / Night (08:00 PM to 05:00 AM)
Working Hours: 9 Hrs
Skills:
Enterprise Asset Management/ Work Management
IBM Maximo,SAP IAM,Infor EAM
Job Responsibilities will include:
-----------------------------------------------
- Overall experience of 5-10 years
- Strong Functional knowledge in Enterprise Asset Management/ Work Management
- Hands on experience in IBM Maximo or SAP IAM or Infor EAM and its integration with supporting systems
- Experience in Utilities industry clients (Electricity or Gas or Water)
- Experience in Supply Chain Domain will be a plus
- Full time regular MBA
- A bachelor's degree in Engineering
Job Description
Experience: Fresher or (0-1 year)
Shift: 3pm to 12am and 6pm to 3am.
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Job Title: Process Associate (CA) |
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Function: Accounting |
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Reports To: Accounting Manager |
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Position Overview: The role will apply principles of accounting to analyze financial information and prepare financial reports utilizing GAAP. May function as an accounting liaison, participate in accounting projects and provide direction to less experienced accounting staff. |
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Accountabilities |
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• Prepares income and balance sheet statements, and various other accounting statements and financial reports |
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• Analyses complex financial reports and records, making recommendations relative to reserves, assets, and expenditures |
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• Reviews and verifies the accuracy of journal entries and accounting records |
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• Reviews balance sheet reconciliations and proposes adjusting entries as necessary |
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Responsibilities |
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• Completes month-end close activities, including but not limited to journal entries, accruals, and accounting for payroll |
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• Reconciles complex bank statements and records related entries |
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• Prepares and maintains balance sheet reconciliations and supporting schedules |
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• Assists in preparation of periodic, quarterly, and annual financial statements |
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• Researches and respond to questions from Operations Managers |
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• Participates in external audit as necessary by preparing required schedules and supplemental information, and responding to inquiries of external auditors |
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• Assists in various special projects as needed |
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• Other duties as assigned |
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Interdependencies |
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This person will work closely with counterparts in areas such as accounting, financial planning and analysis, tax, legal, operations, and other key analysts and managers throughout the company. |
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Competencies |
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· Extremely detail-oriented, analytical, quick learner and ability to work independently |
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· Ability to handle multiple priorities in a time-sensitive and dynamic environment |
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· Excellent communication skills to all levels of the organization |
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· Proficiency with MS Office |
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· High level of accuracy and attention to details |
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Qualifications & Requirements |
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· Bachelor’s degree in accounting+ Qualified CA (mandatory) 1. Good knowledge of GAAP, Accounting Standards, 2. Good communication skills - oral, written 3. Ability to work in a team. 4. Take ownership of the work 5. Work in stretched time, if required, sometimes 6. Abide by values - respect, care, share. 7. Urge to know. |
Skills
CA Accounting, GAAP
- Bachelor's degree in Engineering field
- 10+ years relevant work experience, including technical program management or equivalent management experience in a mid- to large-sized Financial Technology firms or Payment’s technology divisions running complex software development programs with multiple stakeholders for at least 5 years.
- 3+ years of experience as a People Manager, managing a team of 40 to 50 members, inclusive of building and growing the team.
- Broad experience, across functional and technical areas, designing, developing, deploying, and maintaining large scale projects in BFSI Domain.
- Looking for professionals who have started their career into Development and Coding; have grown into Tech Lead roles followed by further transition into Project Management roles under BFSI domain.
- Should have entirely owned the product development from start to end, i.e., inception to implementation. Someone who has worked on end-to-end implementation/development will be apt for this role.
- Should be an expert in stake holder management, negotiating the requirement with the product team and understanding the timeline, team size, and the budget of the project.
- Must also analyze requirements Vs the timeline.
- Should be able to help interact with the architects meaningfully and gain knowledge of what infrastructure, the technology, APIs to use, front-end dependencies, solutions, and integration across the organization, the candidate should understand the business requirement and how to implement it technically. Accordingly, they will be able to plan and deliver.
- Working expertise in Agile, Jira, and Cloud is mandatory. Agile Safe is essential.
- Exposure to running agile ceremonies, change or release management. ServiceNow and similar change management tools are highly considerable.
- Working experience with microservices, API servers, Mobile and Web Application Development is a must.
- Prior experience with CI/CD software development process
Business knowledge
- The person must have knowledge in at least one domain, i.e., Credit Cards, Lending, Investment, and Insurance.
- Such domain knowledge and experience should be from the recent one and not from the earlier stages of the career.
Data Science
Machine Learning (ML)XressBees – a logistics company started in 2015 – is amongst the fastest growing companies of its sector. Our
vision to evolve into a strong full-service logistics organization reflects itself in the various lines of business like B2C
logistics 3PL, B2B Xpress, Hyperlocal and Cross border Logistics.
Our strong domain expertise and constant focus on innovation has helped us rapidly evolve as the most trusted
logistics partner of India. XB has progressively carved our way towards best-in-class technology platforms, an
extensive logistics network reach, and a seamless last mile management system.
While on this aggressive growth path, we seek to become the one-stop-shop for end-to-end logistics solutions. Our
big focus areas for the very near future include strengthening our presence as service providers of choice and
leveraging the power of technology to drive supply chain efficiencies.
Job Overview
XpressBees would enrich and scale its end-to-end logistics solutions at a high pace. This is a great opportunity to join
the team working on forming and delivering the operational strategy behind Artificial Intelligence / Machine Learning
and Data Engineering, leading projects and teams of AI Engineers collaborating with Data Scientists. In your role, you
will build high performance AI/ML solutions using groundbreaking AI/ML and BigData technologies. You will need to
understand business requirements and convert them to a solvable data science problem statement. You will be
involved in end to end AI/ML projects, starting from smaller scale POCs all the way to full scale ML pipelines in
production.
Seasoned AI/ML Engineers would own the implementation and productionzation of cutting-edge AI driven algorithmic
components for search, recommendation and insights to improve the efficiencies of the logistics supply chain and
serve the customer better.
You will apply innovative ML tools and concepts to deliver value to our teams and customers and make an impact to
the organization while solving challenging problems in the areas of AI, ML , Data Analytics and Computer Science.
Opportunities for application:
- Route Optimization
- Address / Geo-Coding Engine
- Anomaly detection, Computer Vision (e.g. loading / unloading)
- Fraud Detection (fake delivery attempts)
- Promise Recommendation Engine etc.
- Customer & Tech support solutions, e.g. chat bots.
- Breach detection / prediction
An Artificial Intelligence Engineer would apply himself/herself in the areas of -
- Deep Learning, NLP, Reinforcement Learning
- Machine Learning - Logistic Regression, Decision Trees, Random Forests, XGBoost, etc..
- Driving Optimization via LPs, MILPs, Stochastic Programs, and MDPs
- Operations Research, Supply Chain Optimization, and Data Analytics/Visualization
- Computer Vision and OCR technologies
The AI Engineering team enables internal teams to add AI capabilities to their Apps and Workflows easily via APIs
without needing to build AI expertise in each team – Decision Support, NLP, Computer Vision, for Public Clouds and
Enterprise in NLU, Vision and Conversational AI.Candidate is adept at working with large data sets to find
opportunities for product and process optimization and using models to test the effectiveness of different courses of
action. They must have knowledge using a variety of data mining/data analysis methods, using a variety of data tools,
building, and implementing models, using/creating algorithms, and creating/running simulations. They must be
comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion
for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Roles & Responsibilities
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Building cloud services in Decision Support (Anomaly Detection, Time series forecasting, Fraud detection,
Risk prevention, Predictive analytics), computer vision, natural language processing (NLP) and speech that
work out of the box.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Build core of Artificial Intelligence and AI Services such as Decision Support, Vision, Speech, Text, NLP, NLU,
and others.
● Leverage Cloud technology –AWS, GCP, Azure
● Experiment with ML models in Python using machine learning libraries (Pytorch, Tensorflow), Big Data,
Hadoop, HBase, Spark, etc
● Work with stakeholders throughout the organization to identify opportunities for leveraging company data to
drive business solutions.
● Mine and analyze data from company databases to drive optimization and improvement of product
development, marketing techniques and business strategies.
● Assess the effectiveness and accuracy of new data sources and data gathering techniques.
● Develop custom data models and algorithms to apply to data sets.
● Use predictive modeling to increase and optimize customer experiences, supply chain metric and other
business outcomes.
● Develop company A/B testing framework and test model quality.
● Coordinate with different functional teams to implement models and monitor outcomes.
● Develop processes and tools to monitor and analyze model performance and data accuracy.
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Deliver machine learning and data science projects with data science techniques and associated libraries
such as AI/ ML or equivalent NLP (Natural Language Processing) packages. Such techniques include a good
to phenomenal understanding of statistical models, probabilistic algorithms, classification, clustering, deep
learning or related approaches as it applies to financial applications.
● The role will encourage you to learn a wide array of capabilities, toolsets and architectural patterns for
successful delivery.
What is required of you?
You will get an opportunity to build and operate a suite of massive scale, integrated data/ML platforms in a broadly
distributed, multi-tenant cloud environment.
● B.S., M.S., or Ph.D. in Computer Science, Computer Engineering
● Coding knowledge and experience with several languages: C, C++, Java,JavaScript, etc.
● Experience with building high-performance, resilient, scalable, and well-engineered systems
● Experience in CI/CD and development best practices, instrumentation, logging systems
● Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights
from large data sets.
● Experience working with and creating data architectures.
● Good understanding of various machine learning and natural language processing technologies, such as
classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.
● Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest,
Boosting, Trees, text mining, social network analysis, etc.
● Knowledge on using web services: Redshift, S3, Spark, Digital Ocean, etc.
● Knowledge on creating and using advanced machine learning algorithms and statistics: regression,
simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
● Knowledge on analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics,
AdWords, Crimson Hexagon, Facebook Insights, etc.
● Knowledge on distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Kafka etc.
● Knowledge on visualizing/presenting data for stakeholders using: Quicksight, Periscope, Business Objects,
D3, ggplot, Tableau etc.
● Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
● Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests, and proper usage, etc.) and experience with applications.
● Experience building data pipelines that prep data for Machine learning and complete feedback loops.
● Knowledge of Machine Learning lifecycle and experience working with data scientists
● Experience with Relational databases and NoSQL databases
● Experience with workflow scheduling / orchestration such as Airflow or Oozie
● Working knowledge of current techniques and approaches in machine learning and statistical or
mathematical models
● Strong Data Engineering & ETL skills to build scalable data pipelines. Exposure to data streaming stack (e.g.
Kafka)
● Relevant experience in fine tuning and optimizing ML (especially Deep Learning) models to bring down
serving latency.
● Exposure to ML model productionzation stack (e.g. MLFlow, Docker)
● Excellent exploratory data analysis skills to slice & dice data at scale using SQL in Redshift/BigQuery.
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