Python
Subodh Popalwar
Software Engineer, Memorres
About LatentView Analytics
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Design, implement, and improve the analytics platform
Implement and simplify self-service data query and analysis capabilities of the BI platform
Develop and improve the current BI architecture, emphasizing data security, data quality
and timeliness, scalability, and extensibility
Deploy and use various big data technologies and run pilots to design low latency
data architectures at scale
Collaborate with business analysts, data scientists, product managers, software development engineers,
and other BI teams to develop, implement, and validate KPIs, statistical analyses, data profiling, prediction,
forecasting, clustering, and machine learning algorithms
Educational
At Ganit we are building an elite team, ergo we are seeking candidates who possess the
following backgrounds:
7+ years relevant experience
Expert level skills writing and optimizing complex SQL
Knowledge of data warehousing concepts
Experience in data mining, profiling, and analysis
Experience with complex data modelling, ETL design, and using large databases
in a business environment
Proficiency with Linux command line and systems administration
Experience with languages like Python/Java/Scala
Experience with Big Data technologies such as Hive/Spark
Proven ability to develop unconventional solutions, sees opportunities to
innovate and leads the way
Good experience of working in cloud platforms like AWS, GCP & Azure. Having worked on
projects involving creation of data lake or data warehouse
Excellent verbal and written communication.
Proven interpersonal skills and ability to convey key insights from complex analyses in
summarized business terms. Ability to effectively communicate with multiple teams
Good to have
AWS/GCP/Azure Data Engineer Certification
Data Science
Machine Learning (ML)
Data AnalyticsDATA SCIENTIST-MACHINE LEARNING
GormalOne LLP. Mumbai IN
Job Description
GormalOne is a social impact Agri tech enterprise focused on farmer-centric projects. Our vision is to make farming highly profitable for the smallest farmer, thereby ensuring India's “Nutrition security”. Our mission is driven by the use of advanced technology. Our technology will be highly user-friendly, for the majority of farmers, who are digitally naive. We are looking for people, who are keen to use their skills to transform farmers' lives. You will join a highly energized and competent team that is working on advanced global technologies such as OCR, facial recognition, and AI-led disease prediction amongst others.
GormalOne is looking for a machine learning engineer to join. This collaborative yet dynamic, role is suited for candidates who enjoy the challenge of building, testing, and deploying end-to-end ML pipelines and incorporating ML Ops best practices across different technology stacks supporting a variety of use cases. We seek candidates who are curious not only about furthering their own knowledge of ML Ops best practices through hands-on experience but can simultaneously help uplift the knowledge of their colleagues.
Location: Bangalore
Roles & Responsibilities
- Individual contributor
- Developing and maintaining an end-to-end data science project
- Deploying scalable applications on different platform
- Ability to analyze and enhance the efficiency of existing products
What are we looking for?
- 3 to 5 Years of experience as a Data Scientist
- Skilled in Data Analysis, EDA, Model Building, and Analysis.
- Basic coding skills in Python
- Decent knowledge of Statistics
- Creating pipelines for ETL and ML models.
- Experience in the operationalization of ML models
- Good exposure to Deep Learning, ANN, DNN, CNN, RNN, and LSTM.
- Hands-on experience in Keras, PyTorch or Tensorflow
Basic Qualifications
- Tech/BE in Computer Science or Information Technology
- Certification in AI, ML, or Data Science is preferred.
- Master/Ph.D. in a relevant field is preferred.
Preferred Requirements
- Exp in tools and packages like Tensorflow, MLFlow, Airflow
- Exp in object detection techniques like YOLO
- Exposure to cloud technologies
- Operationalization of ML models
- Good understanding and exposure to MLOps
Kindly note: Salary shall be commensurate with qualifications and experience
Data ScienceMachine Learning (ML)Python• Solid technical / data-mining skills and ability to work with large volumes of data; extract
and manipulate large datasets using common tools such as Python and SQL other
programming/scripting languages to translate data into business decisions/results
• Be data-driven and outcome-focused
• Must have good business judgment with demonstrated ability to think creatively and
strategically
• Must be an intuitive, organized analytical thinker, with the ability to perform detailed
analysis
• Takes personal ownership; Self-starter; Ability to drive projects with minimal guidance
and focus on high impact work
• Learns continuously; Seeks out knowledge, ideas and feedback.
• Looks for opportunities to build owns skills, knowledge and expertise.
• Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG,
HIVE)
• Experience in risk and credit score domains preferred
• Comfortable with ambiguity and frequent context-switching in a fast-paced
environment
R ProgrammingWork Experience : 0-2 years
Responsibilities :
- Design and implement mathematical models for fundamental valuation of securities. The person will need to understand latest research in quantitative finance and implement the same.
- Design, back-testing and implementation of high-frequency trading strategies on international exchanges. Work as part of the market-making team to determine the signals and trading strategies to go live with.
- Conduct performance attribution of live portfolios.
Required Skills :
- Strong candidates should have 0-2 years of work experience and successful track record in quantitative analysis preferably in the capital markets domain.
- Post-Graduate degree in statistics, finance, mathematics, engineering (Computer Science preferred) or other quantitative or computational disciplines
- Experience in using some or all of the following packages: R, MATLAB, SPSS, CART, C# .Net, Python
- Good written and oral communication skills.
- Strong experience working both independently and in a team-oriented collaborative environment.
- Entrepreneurial, self-motivated individual - high energy, high activity levels - passion for working with an innovative, small but rapidly growing company.
PythonData ScienceR ProgrammingPythonMachine Learning (ML)- Extract and present valuable information from data
- Understand business requirements and generate insights
- Build mathematical models, validate and work with them
- Explain complex topics tailored to the audience
- Validate and follow up on results
- Work with large and complex data sets
- Establish priorities with clear goals and responsibilities to achieve a high level of performance.
- Work in an agile and iterative manner on solving problems
- Evaluate different options proactively and the ability to solve problems in an innovative way. Develop new solutions or combine existing methods to create new approaches.
- Good understanding of Digital & analytics
- Strong communication skills, orally and in writing
Job Overview:
As a Data Scientist, you will work in collaboration with our business and engineering people, on creating value from data. Often the work requires solving complex problems by turning vast amounts of data into business insights through advanced analytics, modeling, and machine learning. You have a strong foundation in analytics, mathematical modeling, computer science, and math - coupled with a strong business sense. You proactively fetch information from various sources and analyze it for better understanding of how the business performs. Furthermore, you model and build AI tools that automate certain processes within the company. The solutions produced will be implemented to impact business results.
Primary Responsibilities:
- Develop an understanding of business obstacles, create solutions based on advanced analytics and draw implications for model development
- Combine, explore, and draw insights from data. Often large and complex data assets from different parts of the business.
- Design and build explorative, predictive- or prescriptive models, utilizing optimization, simulation, and machine learning techniques
- Prototype and pilot new solutions and be a part of the aim of ‘productizing’ those valuable solutions that can have an impact at a global scale
- Guides and coaches other chapter colleagues to help solve data/technical problems at an operational level, and in methodologies to help improve development processes
- Identifies and interprets trends and patterns in complex data sets to enable the business to make data-driven decisions
Machine Learning (ML)PythonWe are building a global content marketplace that brings companies and content
creators together to scale up content creation processes across 50+ content verticals and 150+ industries. Over the past 2.5 years, we’ve worked with companies like India Today, Amazon India, Adobe, Swiggy, Dunzo, Businessworld, Paisabazaar, IndiGo Airlines, Apollo Hospitals, Infoedge, Times Group, Digit, BookMyShow, UpGrad, Yulu, YourStory, and 350+ other brands.
Our mission is to become the world’s largest content creation and distribution platform for all kinds of content creators and brands.
Our Team
We are a 25+ member company and is scaling up rapidly in both team size and our ambition.
If we were to define the kind of people and the culture we have, it would be -
a) Individuals with an Extreme Sense of Passion About Work
b) Individuals with Strong Customer and Creator Obsession
c) Individuals with Extraordinary Hustle, Perseverance & Ambition
We are on the lookout for individuals who are always open to going the extra mile and thrive in a fast-paced environment. We are strong believers in building a great, enduring
a company that can outlast its builders and create a massive impact on the lives of our
employees, creators, and customers alike.
Our Investors
We are fortunate to be backed by some of the industry’s most prolific angel investors - Kunal Bahl and Rohit Bansal (Snapdeal founders), YourStory Media. (Shradha Sharma); Dr. Saurabh Srivastava, Co-founder of IAN and NASSCOM; Slideshare co-founder Amit Ranjan; Indifi's Co-founder and CEO Alok Mittal; Sidharth Rao, Chairman of Dentsu Webchutney; Ritesh Malik, Co-founder and CEO of Innov8; Sanjay Tripathy, former CMO, HDFC Life, and CEO of Agilio Labs; Manan Maheshwari, Co-founder of WYSH; and Hemanshu Jain, Co-founder of Diabeto.
Backed by Lightspeed Venture Partners
Job Responsibilities:
● Design, develop, test, deploy, maintain and improve ML models
● Implement novel learning algorithms and recommendation engines
● Apply Data Science concepts to solve routine problems of target users
● Translates business analysis needs into well-defined machine learning problems, and
selecting appropriate models and algorithms
● Create an architecture, implement, maintain and monitor various data source pipelines
that can be used across various different types of data sources
● Monitor performance of the architecture and conduct optimization
● Produce clean, efficient code based on specifications
● Verify and deploy programs and systems
● Troubleshoot, debug and upgrade existing applications
● Guide junior engineers for productive contribution to the development
The ideal candidate must -
ML and NLP Engineer
● 4 or more years of experience in ML Engineering
● Proven experience in NLP
● Familiarity with language generative model - GPT3
● Ability to write robust code in Python
● Familiarity with ML frameworks and libraries
● Hands on experience with AWS services like Sagemaker and Personalize
● Exposure to state of the art techniques in ML and NLP
● Understanding of data structures, data modeling, and software architecture
● Outstanding analytical and problem-solving skills
● Team player, an ability to work cooperatively with the other engineers.
● Ability to make quick decisions in high-pressure environments with limited information.
Data AnalyticsRole: Data Analytics Lead / Manager
- Lead cross-functional projects using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
- Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.
- Coordinate with different teams to determine requirements for data warehousing, reporting and analytical solutions, and ensure customer satisfaction on deliverables
- Oversee analytics projects to extract, manage, and analyse data from multiple applications, ensuring that deadlines are met.
- Apply statistics and data modelling to gain actionable business insights and boost customer productivity and revenue.
- Enforce company policies and procedures to ensure quality and prevent discrepancies.
- Communicate and track key performance metrics across departments.
- Keep abreast of industry best practices and policies.
- Research Latest trends, analyse data, identify opportunities and incorporate changes into business strategies.
- Manage and optimize processes for data intake, validation, mining and engineering as well as modelling, visualization and communication deliverables.
- Examine, interpret and report results of analytical initiatives to stakeholders in leadership, technology, sales, marketing and product teams.
- Oversee the data/report requests process: tracking requests submitted, prioritization, approval, etc.
- Develop and implement MLDevOps, quality controls and departmental standards to ensure quality standards, organizational expectations, and regulatory requirements.
- Anticipate future demands of initiatives related to people, technology, budget and business within your department and design/implement solutions to meet these needs.
- Organize and drive successful completion of data insight initiatives through effective management of data analyst and effective collaboration with stakeholders.
Essential Skills
- Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.
- Strong SQL skills, ability to perform effective querying involving multiple tables and subqueries.
- Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units.
- Experience and knowledge of statistical modelling techniques: multiple regression, logistic regression, log-linear regression, variable selection, etc.
We’re looking for someone with at least 10+ years of experience in a position monitoring, managing, transforming and drawing insights from data, and someone with at least 5 years of experience leading a data analyst team.
Experience in Azure is preferred
PythonData Science Mining large volumes of credit behavior data to generate insights around product holdings and monetization opportunities for cross sell
Use data science to size opportunity and product potential for launch of any new product/pilots
Build propensity models using heuristics and campaign performance to maximize efficiency.
Conduct portfolio analysis and establish key metrics for cross sell partnership
Desired profile/Skills:
2-5 years of experience with a degree in any quantitative discipline such as Engineering, Computer Science, Economics, Statistics or Mathematics
Excellent problem solving and comprehensive analytical skills – ability to structure ambiguous problem statements, perform detailed analysis and derive crisp insights.
Solid experience in using python and SQL
Prior work experience in a financial services space would be highly valued
Location: Bangalore/ Ahmedabad
PythonMachine Learning (ML)
Deep Learning
Follow CutshortSubodh Popalwar
Software Engineer, Memorres