Data Scientist
Pune, India
Ollion
Empower your business with Ollion's cloud solution expertise. Tailored, innovative solutions that prioritize outcomes and customer experience.Company Description
OUR STORY
Let’s be honest: there are lots of people out there doing what we do. We’re just not convinced they’re doing it right. Businesses are hungry for innovation and opportunity, but not at the cost of their independence. At Ollion, we’ve connected companies and capabilities around the world to help ambitious organizations make the most of their transformation and leave the status quo in the dust.
WORKING AT OLLION
Innovation is risky. It demands bold steps and big questions, but that’s the price of making change. We’ve got our head in the cloud and two feet on the ground, channeling tech’s endless potential towards a single goal: making a world of difference. And we’re building a global team to do just that— a team capable of making game-changing breakthroughs without ever losing sight of the people it will impact. This is more than consulting. This is the change you can be.
THE OLLION DIFFERENCE
At Ollion, we’re all in on your independence. Our teams are seasoned. Our solutions are straightforward—sometimes even groundbreaking. And our engagements? Exactly as long as you want them to be. We deliver fresh thinking and hard-earned insight in a way that works for you and your customers, arming your organization with everything you need to make your transformation truly mean something.
WORKING WITH OLLION (our clients’ experiences)
Progress matters more than process. Our global team of cloud-native pros is all about creating new and better ways to work—not just by solving your tech challenges, but by using technology to solve your business challenges. We keep the formulas, frameworks, and ten-point plans to a minimum, tackling your most pressing problems with a proprietary mix of good-old-fashioned ingenuity and refreshing humanity.
DIVERSITY AT OLLION
One of our cultural keystones, ‘Find the angle’ recognizes that every individual has different aspirations, needs and brings a unique perspective.
We value diversity, inclusion, and equity (DE&I) as core to our success. We believe that a diverse workforce brings together unique perspectives, experiences, and ideas, leading to innovation, creativity, and better outcomes for our clients and our organization. We are on a journey and are committed to building a workplace that celebrates and respects individuals from all backgrounds, including but not limited to race, ethnicity, gender, sexual orientation, age, disability, and cultural heritage.
As our commitment to diversity and inclusion is reflected in our:
- Awareness and sensitisation programs: to create awareness and sensitisation. We encourage open dialogue, active listening, and mutual respect, creating a safe and supportive environment for everyone to contribute their unique perspectives and ideas.
- Dedicated efforts to building diverse teams: that leverage the strength of our differences to tackle complex challenges and drive innovation. By embracing diversity, we broaden our collective knowledge, enhance problem-solving capabilities, and unlock limitless potential for our employees.
Job Description
Job Overview:
In this role, you will work closely with other data scientists, data engineers, business stakeholders, and other members of the technology team to build AI/ML solutions on the cloud
You will be responsible for coming up with new ideas, rapid prototyping, validating the prototype and converting it into scalable production ready deployments
Key Responsibilities
- Work with stakeholders to understand their data requirements and implement AI/ML solutions that meet their needs.
- Working across Machine Learning lifecycle - data ingestion, feature engineering, modelling, predicting, explaining, deploying and diagnosing ML models.
- Interacting with Large Language Models like GPT-4 and Google Gemini and building Generative AI applications. Applications like retrieval-augmented generation (RAG) etc
- Building applications that require prompt engineering and tuning
- Experience with continuous learning and building MLops pipelines
- Participate in discovery sessions with clients and build state-of-the-art data architectures.
- Automate data collection, processing, and reporting processes to minimize manual work and improve efficiency.
- Use the knowledge gained from client projects to develop and improve our internal products.
- Drive innovation in the organization's data infrastructure and processes.
- Stay current with emerging technologies and trends in data engineering and data management.
Qualifications
Key Requirements
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- 3-7 years of relevant experience in machine learning, data science, data management and data engineering.
- Proficient in Python and developing dockerised application.
- Experience with cloud computing platforms, such as Amazon Web Services (AWS), or Google Cloud Platform (GCP), or Microsoft Azure.
- Experience with SQL and NoSQL databases
- Familiarity in working with large data sets, cloud-based model development and deployment
- Fluency with one or more Deep Learning frameworks like TensorFlow, PyTorch, CNTK etc
- Proficient in data pre-processing and dataset creation using tools like pandas, numpy scikit-learn, scipy, etc
- Built various ML applications across the domains of regression, classification, clustering etc
- Performed data pre-processing and built applications using tabular, text, image and/or video data
- Excellent problem-solving, debugging, and analytical skills.
- Ability to drive initiatives, work independently and in a team environment.
- Excellent communication skills for effectively expressing ideas to clients.
Nice To Have
- Experience building large-scale, high throughput, 24x7 data systems.
- Built production level Deep learning solutions on the cloud
- Experience in Generative AI prompt engineering and tuning. Built Generative AI applications
- Any data engineering, visualisation, or data science certifications on any of the clouds.
Additional Information
BENEFITS & PERKS FOR WORKING AT OLLION
Our employees multiply their potential because they have opportunities to: Create a lasting Impact, Learn and Grow professionally & personally, Experience great Culture, and Be your Whole Self!
Beyond an amazing, collaborative work environment, great people, and inspiring, innovative work, we have some great benefits and perks:
- Benchmarked, competitive, in-market total rewards package including (but not limited to): base salary & short-term incentive for all employees
- We are a virtualby-default, small but Global organization; ‘learn wherever, whenever’ frees our people from a rigid view of learning and growth
- Retirement planning (i.e. CPF, EPF, company-matched 401(k))
- Globally, we build benefit plans that offer choices for whatever stage in life our employees are in and allow for flexibility as life happens. Employees have access to a fully comprehensive benefits package to choose the medical, dental, and vision insurance plan that best fits their lives. In addition to great healthcare coverage, we also offer all employees mental health resources and additional wellness programs.
- Generous time off and leave allowances
- And more!
Ollion is an equal opportunity employer. We celebrate diversity and we are committed to creating an inclusive environment for all employees. Ollion does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, parental status, military service, or other non-merit factor.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Azure Classification Clustering Computer Science Consulting Data management Deep Learning Engineering Feature engineering GCP Gemini Generative AI Google Cloud GPT GPT-4 LLMs Machine Learning ML models MLOps NoSQL NumPy Pandas Pipelines Prompt engineering Prototyping Python PyTorch RAG Scikit-learn SciPy SQL TensorFlow
Perks/benefits: 401(k) matching Career development Competitive pay Equity / stock options Health care Insurance Medical leave Parental leave Startup environment Wellness
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