Data Science
Machine Learning (ML)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!
Shubham Vishwakarma
Full Stack Developer - Averlon
About Digit88
About
At Digit88, our team brings together over 40 years of collective experience in product development and offshore operations, collaborating with both multinational corporations (MNCs) and startups. We take pride in our track record of numerous successes and achievements. Our expertise lies in crafting high-performing teams and delivering well-engineered products that exceed expectations.
Operating within a fast-paced and agile environment is where we thrive. Our adaptability and commitment to excellence enable us to stay ahead in an ever-evolving tech landscape. At Digit88, we are passionate about pushing boundaries, embracing innovation, and delivering outstanding results to our clients. Join us on our journey of continuous growth and impactful solutions!
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TIFIN is a fintech platform backed by industry leaders including JP Morgan, Morningstar, Broadridge, Hamilton Lane, Franklin Templeton, Motive Partners, and many others. We are creating engaging wealth experiences to improve financial lives through AI and investment intelligence–powered personalization.
Our mission is to transform wealth management the way personalization has transformed movies and music—while holding the added responsibility of delivering better financial outcomes.
We leverage design and behavioral science to create engaging experiences through software and APIs. By applying investment science and intelligence, we build algorithmic engines that enable better investor outcomes—matching individuals to financial advice and investments based on their unique goals.
Our Values: Go with your GUT
- Grow at the Edge – We embrace personal growth, step outside comfort zones, and work with self-awareness and integrity. No excuses.
- Understanding through Listening and Speaking the Truth – We value transparency, radical candor, authenticity, and precision. We challenge, but once decisions are made, we commit fully.
- I Win for Teamwin – We stay within our genius zones, take ownership, and move together in formation to succeed as a team.
Key Responsibilities
Translation Evaluation & Linguistics (70%)
- Evaluate and annotate LLM-generated translations for Japanese, covering nuanced, real-world usage across finance, communication, and culture.
- Compare AI outputs with high-quality human translations, identifying errors in phrasing, idioms, tone, and contextual accuracy.
- Apply annotation and scoring frameworks (e.g., BLEU, ROUGE, COMET) to ensure quality benchmarks.
- Provide detailed linguistic feedback to improve AI model training.
AI/LLM Collaboration (30%)
- Work with engineers, data scientists, and project managers to share reports and linguistic insights.
- Contribute to building datasets and test cases through language corpora and research work.
- Maintain structured evaluations, documentation, and logs to support ongoing improvements.
Required Qualifications
- Education: Bachelor’s or Master’s in Linguistics, Translation, Language Technology, Communication, or related fields.
- Language Proficiency: Native or near-native fluency in (3+ Years)Japanese and strong command of English.
- Experience: Proven track record in translation, localization, or linguistic evaluation.
- Analytical Rigor: Hands-on experience in language quality evaluation, annotation, or error analysis.
- Technical Curiosity: Familiarity with LLMs, AI tools, or prompt engineering is an advantage.
- Soft Skills: Highly organized, detail-oriented, and able to communicate effectively across technical and non-technical teams.
Desired Skills
- Experience with annotation platforms or evaluation technology.
- Background in corpus development, curriculum design, or language research projects.
- Experience in process optimization, reporting, or content operations.
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- Provide engineering support (when necessary) to our technical operations staff when they are building, deploying, configuring and supporting systems for customers
- Participate with the engineering and operations teams to define plans for standardizing, scaling and enhancing our products and the services utilized to deploy/install/release those products
- Participate in interactions with customers as a technical expert for product subsystems
- Investigate, analyze and make recommendations to management regarding technology improvements, upgrades and modifications
- Other duties from time to time as determined by management
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Ufinity Ventures is a young and dynamic company that works with international clients. For the current opportunity, the candidate will work (Remotely) with our client (mentioned below).
Job Background:
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We require a hands-on developer to deliver DROOLS-based development for Regulatory Reporting. (DROOLS is an open source technology by JBoss used in the rules-based implementation. )
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- Ability to learn quickly, and independently in a fast-paced environment
- Excellent time-management, multi-tasking, and communication skills
- Superior analytical and problem-solving abilities
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- Degree in Computer Science, Software Engineering or equivalent.
- Minimum 3+ years experience in software development.
- Expertise in Python 3.7, Django 2.2+ and REST APIs
- Minimum 3+ years experience with AWS or related services.
- Willingness to learn and ability to flourish in a dynamic, high-growth, entrepreneurial environment
- Hands-on, self-starter, capable of working independently
- True love for technology and what you do
- Maniacal attention to detail
- Developing a comprehensive and sustainable employee engagement strategy using data by dividing members into different cohorts.
- Defining engagement and growth strategies for every member quarterly.
- Becoming an expert in our Engagement and Recognition tools
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- Using tools to keep records of engagements, initiatives, processes, solutions, etc. thus building a playbook of success stories.
- Gathering, analyzing and presenting key employee engagement metrics to help support the delivery of key initiatives and preparing reports for key stakeholders in a timely fashion.
- Developing and delivering the organization's internal communication strategy, planning and making a calendar of activity to continually drive positive employee experiences.
- Initiating and implementing innovative team-building and collaborative initiatives that help improve the Organizational Development Index.
- Building feedback mechanisms into employee engagement activities and internal communications to enable employees to have an opportunity for dialogue.
- Synthesizing engagement data and developing clear stories for stakeholders
What you need to have:
- Engineer plus MBA/PGDM from Tier 1 B - School
- Experience of working in hyper-growth start-up
- 4-7 years of experience in engagement/ talent development role, out of which at least 2 years in leading specific projects.
- Engagement expert with strong domain knowledge.
- Ability to maintain a high level of confidentiality and work with sensitive data and information.
- Prior background in building unique engagement experiences.
- Good command over documentation and process flowcharting using tools.
- Excellent organizational skills and an ability to multi-task across concurrent projects with strong attention to detail.
- Proven ability to drive assignments on metrics using technology.
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- Curious about metrics, execution processes, people trends.
- Excellent communicator having the ability to influence and persuade others.
- Commitment to demonstrably improving team metrics.
- Positive, flexible, and proactive, hands-on with a can-do approach.
- Good command over documentation and process flowcharting using tools.
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- Subject Matter Expert (SME) will have the complete market level expertise and proficiency as required to create, develop and teach contents in the given subject area.
- Experience 0 to 5 yrs teaching Chemistry, Physics and Mathematics
- Educational qualification: Masters(M.Sc, M.Phil, P.hd) in Chemistry, Physics and Mathematics
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