Machine Learning (ML)
Data Science
PythonWho Are We
A research-oriented company with expertise in computer vision and artificial intelligence, at its core, Orbo is a comprehensive platform of AI-based visual enhancement stack. This way, companies can find a suitable product as per their need where deep learning powered technology can automatically improve their Imagery.
ORBO's solutions are helping BFSI, beauty and personal care digital transformation and Ecommerce image retouching industries in multiple ways.
WHY US
- Join top AI company
- Grow with your best companions
- Continuous pursuit of excellence, equality, respect
- Competitive compensation and benefits
You'll be a part of the core team and will be working directly with the founders in building and iterating upon the core products that make cameras intelligent and images more informative.
To learn more about how we work, please check out
Description:
We are looking for a computer vision engineer to lead our team in developing a factory floor analytics SaaS product. This would be a fast-paced role and the person will get an opportunity to develop an industrial grade solution from concept to deployment.
Responsibilities:
- Research and develop computer vision solutions for industries (BFSI, Beauty and personal care, E-commerce, Defence etc.)
- Lead a team of ML engineers in developing an industrial AI product from scratch
- Setup end-end Deep Learning pipeline for data ingestion, preparation, model training, validation and deployment
- Tune the models to achieve high accuracy rates and minimum latency
- Deploying developed computer vision models on edge devices after optimization to meet customer requirements
Requirements:
- Bachelor’s degree
- Understanding about depth and breadth of computer vision and deep learning algorithms.
- Experience in taking an AI product from scratch to commercial deployment.
- Experience in Image enhancement, object detection, image segmentation, image classification algorithms
- Experience in deployment with OpenVINO, ONNXruntime and TensorRT
- Experience in deploying computer vision solutions on edge devices such as Intel Movidius and Nvidia Jetson
- Experience with any machine/deep learning frameworks like Tensorflow, and PyTorch.
- Proficient understanding of code versioning tools, such as Git
Our perfect candidate is someone that:
- is proactive and an independent problem solver
- is a constant learner. We are a fast growing start-up. We want you to grow with us!
- is a team player and good communicator
What We Offer:
- You will have fun working with a fast-paced team on a product that can impact the business model of E-commerce and BFSI industries. As the team is small, you will easily be able to see a direct impact of what you build on our customers (Trust us - it is extremely fulfilling!)
- You will be in charge of what you build and be an integral part of the product development process
- Technical and financial growth!
Subodh Popalwar
Software Engineer, Memorres
About Orboai
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Python
Amazon Web Services (AWS)
MongoDBJob Responsibilities:
1. Develop/debug applications using Python.
2. Improve code quality and code coverage for existing or new program.
3. Deploy and Integrate the Machine Learning models.
4. Test and validate the deployments.
5. ML Ops function.
Technical Skills
1. Graduate in Engineering or Technology with strong academic credentials
2. 4 to 8 years of experience as a Python developer.
3. Excellent understanding of SDLC processes
4. Strong knowledge of Unit testing, code quality improvement
5. Cloud based deployment and integration of applications/micro services.
6. Experience with NoSQL databases, such as MongoDB, Cassandra
7. Strong applied statistics skills
8. Knowledge of creating CI/CD pipelines and touchless deployment.
9. Knowledge about API, Data Engineering techniques.
10. AWS
11. Knowledge of Machine Learning and Large Language Model.
Nice to Have
1. Exposure to financial research domain
2. Experience with JIRA, Confluence
3. Understanding of scrum and Agile methodologies
4. Experience with data visualization tools, such as Grafana, GGplot, etc
ROLE AND RESPONSIBILITIES
Should be able to work as an individual contributor and maintain good relationship with stakeholders. Should
be proactive to learn new skills per business requirement. Familiar with extraction of relevant data, cleanse and
transform data into insights that drive business value, through use of data analytics, data visualization and data
modeling techniques.
QUALIFICATIONS AND EDUCATION REQUIREMENTS
Technical Bachelor’s Degree.
Non-Technical Degree holders should have 1+ years of relevant experience.
PythonAmazon Web Services (AWS)Title: Data Engineer – Snowflake
Location: Mysore (Hybrid model)
Exp-2-8 yrs
Type: Full Time
Walk-in date: 25th Jan 2023 @Mysore
Job Role: We are looking for an experienced Snowflake developer to join our team as a Data Engineer who will work as part of a team to help design and develop data-driven solutions that deliver insights to the business. The ideal candidate is a data pipeline builder and data wrangler who enjoys building data-driven systems that drive analytical solutions and building them from the ground up. You will be responsible for building and optimizing our data as well as building automated processes for production jobs. You will support our software developers, database architects, data analysts and data scientists on data initiatives
Key Roles & Responsibilities:
- Use advanced complex Snowflake/Python and SQL to extract data from source systems for ingestion into a data pipeline.
- Design, develop and deploy scalable and efficient data pipelines.
- Analyze and assemble large, complex datasets that meet functional / non-functional business requirements.
- Identify, design, and implement internal process improvements. For example: automating manual processes, optimizing data delivery, re-designing data platform infrastructure for greater scalability.
- Build required infrastructure for optimal extraction, loading, and transformation (ELT) of data from various data sources using AWS and Snowflake leveraging Python or SQL technologies.
- Monitor cloud-based systems and components for availability, performance, reliability, security and efficiency
- Create and configure appropriate cloud resources to meet the needs of the end users.
- As needed, document topology, processes, and solution architecture.
- Share your passion for staying on top of tech trends, experimenting with and learning new technologies
Qualifications & Experience
Qualification & Experience Requirements:
- Bachelor's degree in computer science, computer engineering, or a related field.
- 2-8 years of experience working with Snowflake
- 2+ years of experience with the AWS services.
- Candidate should able to write the stored procedure and function in Snowflake.
- At least 2 years’ experience in snowflake developer.
- Strong SQL Knowledge.
- Data injection in snowflake using Snowflake procedure.
- ETL Experience is Must (Could be any tool)
- Candidate should be aware of snowflake architecture.
- Worked on the Migration project
- DW Concept (Optional)
- Experience with cloud data storage and compute components including lambda functions, EC2s, containers.
- Experience with data pipeline and workflow management tools: Airflow, etc.
- Experience cleaning, testing, and evaluating data quality from a wide variety of ingestible data sources
- Experience working with Linux and UNIX environments.
- Experience with profiling data, with and without data definition documentation
- Familiar with Git
- Familiar with issue tracking systems like JIRA (Project Management Tool) or Trello.
- Experience working in an agile environment.
Desired Skills:
- Experience in Snowflake. Must be willing to be Snowflake certified in the first 3 months of employment.
- Experience with a stream-processing system: Snowpipe
- Working knowledge of AWS or Azure
- Experience in migrating from on-prem to cloud systems
Amazon Web Services (AWS)About Kloud9:
Kloud9 exists with the sole purpose of providing cloud expertise to the retail industry. Our team of cloud architects, engineers and developers help retailers launch a successful cloud initiative so you can quickly realise the benefits of cloud technology. Our standardised, proven cloud adoption methodologies reduce the cloud adoption time and effort so you can directly benefit from lower migration costs.
Kloud9 was founded with the vision of bridging the gap between E-commerce and cloud. The E-commerce of any industry is limiting and poses a huge challenge in terms of the finances spent on physical data structures.
At Kloud9, we know migrating to the cloud is the single most significant technology shift your company faces today. We are your trusted advisors in transformation and are determined to build a deep partnership along the way. Our cloud and retail experts will ease your transition to the cloud.
Our sole focus is to provide cloud expertise to retail industry giving our clients the empowerment that will take their business to the next level. Our team of proficient architects, engineers and developers have been designing, building and implementing solutions for retailers for an average of more than 20 years.
We are a cloud vendor that is both platform and technology independent. Our vendor independence not just provides us with a unique perspective into the cloud market but also ensures that we deliver the cloud solutions available that best meet our clients' requirements.
What we are looking for:
● 3+ years’ experience developing Data & Analytic solutions
● Experience building data lake solutions leveraging one or more of the following AWS, EMR, S3, Hive& Spark
● Experience with relational SQL
● Experience with scripting languages such as Shell, Python
● Experience with source control tools such as GitHub and related dev process
● Experience with workflow scheduling tools such as Airflow
● In-depth knowledge of scalable cloud
● Has a passion for data solutions
● Strong understanding of data structures and algorithms
● Strong understanding of solution and technical design
● Has a strong problem-solving and analytical mindset
● Experience working with Agile Teams.
● Able to influence and communicate effectively, both verbally and written, with team members and business stakeholders
● Able to quickly pick up new programming languages, technologies, and frameworks
● Bachelor’s Degree in computer science
Why Explore a Career at Kloud9:
With job opportunities in prime locations of US, London, Poland and Bengaluru, we help build your career paths in cutting edge technologies of AI, Machine Learning and Data Science. Be part of an inclusive and diverse workforce that's changing the face of retail technology with their creativity and innovative solutions. Our vested interest in our employees translates to deliver the best products and solutions to our customers.
- Design the architecture of our big data platform
- Perform and oversee tasks such as writing scripts, calling APIs, web scraping, and writing SQL queries
- Design and implement data stores that support the scalable processing and storage of our high-frequency data
- Maintain our data pipeline
- Customize and oversee integration tools, warehouses, databases, and analytical systems
- Configure and provide availability for data-access tools used by all data scientists
Amazon Web Services (AWS)Big data Developer
Exp: 3yrs to 7 yrs.
Job Location: Hyderabad
Notice: Immediate / within 30 days
1. Expertise in building AWS Data Engineering pipelines with AWS Glue -> Athena -> Quick sight
2. Experience in developing lambda functions with AWS Lambda
3. Expertise with Spark/PySpark Candidate should be hands on with PySpark code and should be able to do transformations with Spark
4. Should be able to code in Python and Scala.
5. Snowflake experience will be a plus
We can start keeping Hadoop and Hive requirements as good to have or understanding of is enough rather than keeping it as a desirable requirement.
Data ScienceMachine Learning (ML)Outplay is building the future of sales engagement, a solution that helps sales teams personalize at scale while consistently staying on message and on task, through true multi-channel outreach including email, phone, SMS, chat and social media. Outplay is the only tool your sales team will ever need to crush their goals. Funded by Sequoia - Headquartered in the US. Sequoia not only led a $2 million seed round in Outplay early this year, but also followed with $7.3 million Series - A recently. The team is spread remotely all over the globe.
Perks of being an Outplayer :
• Fully remote job - You can be on the mountains or at the beach, and still work with us. Outplay is a 100% remote company.
• Flexible work hours - We believe mental health is way more important than a 9-5 job.
• Health Insurance - We are a family, and we take care of each other - we provide medical insurance coverage to all employees and their family members. We also provide an additional benefit of doctor consultation along with the insurance plan.
• Annual company retreat - we work hard, and we party harder.
• Best tools - we buy you the best tools of the trade
• Celebrations - No, we never forget your birthday or anniversary (be it work or wedding) and we never leave an opportunity to celebrate milestones and wins.
• Safe space to innovate and experiment
• Steady career growth and job security
About the Role:
We are looking for a Senior Data Scientist to help research, develop and advance the charter of AI at Outplay and push the threshold of conversational intelligence.
Job description :
• Lead AI initiatives that dissects data for creating new feature prototypes and minimum viable products
• Conduct product research in natural language processing, conversation intelligence, and virtual assistant technologies
• Use independent judgment to enhance product by using existing data and building AI/ML models
• Collaborate with teams, provide technical guidance to colleagues and come up with new ideas for rapid prototyping. Convert prototypes into scalable and efficient products.
• Work closely with multiple teams on projects using textual and voice data to build conversational intelligence
• Prototype and demonstrate AI augmented capabilities in the product for customers
• Conduct experiments to assess the precision and recall of language processing modules and study the effect of such experiments on different application areas of sales
• Assist business development teams in the expansion and enhancement of a feature pipeline to support short and long-range growth plans
• Identify new business opportunities and prioritize pursuits of AI for different areas of conversational intelligence
• Build reusable and scalable solutions for use across a varied customer base
• Participate in long range strategic planning activities designed to meet the company’s objectives and revenue goals
Required Skills :
• Bachelors or Masters in a quantitative field such as Computer Science, Statistics, Mathematics, Operations Research or related field with focus on applied Machine Learning, AI, NLP and data-driven statistical analysis & modelling.
• 4+ years of experience applying AI/ML/NLP/Deep Learning/ data-driven statistical analysis & modelling solutions to multiple domains. Experience in the Sales and Marketing domain is a plus.
• Experience in building Natural Language Processing (NLP), Conversational Intelligence, and Virtual Assistants based features.
• Excellent grasp on programming languages like Python. Experience in GoLang would be a plus.
• Proficient in analysis using python packages like Pandas, Plotly, Numpy, Scipy, etc.
• Strong and proven programming skills in machine learning and deep learning with experience in frameworks such as TensorFlow/Keras, Pytorch, Transformers, Spark etc
• Excellent communication skills to explain complex solutions to stakeholders across multiple disciplines.
• Experience in SQL, RDBMS, Data Management and Cloud Computing (AWS and/or Azure) is a plus.
• Extensive experience of training and deploying different Machine Learning models
• Experience in monitoring deployed models to proactively capture data drifts, low performing models, etc.
• Exposure to Deep Learning, Neural Networks or related fields
• Passion for solving AI/ML problems for both textual and voice data.
• Fast learner, with great written and verbal communication skills, and be able to work independently as
well as in a team environment
Data SciencePythonMachine Learning (ML)- Working closely with business stakeholders to define, strategize and execute crucial business problem statements which lie at the core of improvising current and future data-backed product offerings.
- Building and refining underwriting models for extending credit to sellers and API Partners in collaboration with the lending team
- Conceiving, planning and prioritizing data projects and manage timelines
- Building analytical systems and predictive models as a part of the agile ecosystem
- Testing performance of data-driven products participating in sprint-wise feature releases
- Managing a team of data scientists and data engineers to develop, train and test predictive models
- Managing collaboration with internal and external stakeholders
- Building data-centric culture from within, partnering with every team, learning deeply about business, working with highly experienced, sharp and insanely ambitious colleagues
What you need to have:
- B.Tech/ M.Tech/ MS/ PhD in Data Science / Computer Science, Statistics, Mathematics & Computation with a demonstrated skill-set in leading an Analytics and Data Science team from IIT, BITS Pilani, ISI
- 8+ years working in the Data Science and analytics domain with 3+ years of experience in leading a data science team to understand the projects to be prioritized, how the team strategy aligns with the organization mission;
- Deep understanding of credit risk landscape; should have built or maintained underwriting models for unsecured lending products
- Should have handled a leadership team in a tech startup preferably a fintech/ lending/ credit risk startup.
- We value entrepreneurship spirit: if you have had the experience of starting your own venture - that is an added advantage.
- Strategic thinker with agility and endurance
- Aware of the latest industry trends in Data Science and Analytics with respect to Fintech, Digital Transformations and Credit-lending domain
- Excellent command over communication is the key to manage multiple stakeholders like the leadership team, product teams, existing & new investors.
- Cloud Computing, Python, SQL, ML algorithms, Analytics and problem - solving mindset
- Knowledge and demonstrated skill-sets in AWS
Python• The incumbent should have hands on experience in data engineering and GCP data technologies.
• Should Work with client teams to design and implement modern, scalable data solutions using a range of new and emerging technologies from the Google Cloud Platform.
• Should Work with Agile and DevOps techniques and implementation approaches in the delivery.
• Showcase your GCP Data engineering experience when communicating with clients on their requirements, turning these into technical data solutions.
• Build and deliver Data solutions using GCP products and offerings.
• Have hands on Experience on Python
Experience on SQL or MySQL. Experience on Looker is an added advantage.
Python● Good communication and collaboration skills with 4-7 years of experience.
● Ability to code and script with strong grasp of CS fundamentals, excellent problem solving abilities.
● Comfort with frequent, incremental code testing and deployment, Data management skills
● Good understanding of RDBMS
● Experience in building Data pipelines and processing large datasets .
● Knowledge of building Web Scraping and data mining is a plus.
● Working knowledge of open source tools such as mysql, Solr, ElasticSearch, Cassandra ( data stores )
would be a plus.
● Expert in Python programming
Role and responsibilities
● Inclined towards working in a start-up environment.
● Comfort with frequent, incremental code testing and deployment, Data management skills
● Design and Build robust and scalable data engineering solutions for structured and unstructured data for
delivering business insights, reporting and analytics.
● Expertise in troubleshooting, debugging, data completeness and quality issues and scaling overall
system performance.
● Build robust API ’s that powers our delivery points (Dashboards, Visualizations and other integrations).
Follow CutshortSubodh Popalwar
Software Engineer, Memorres