- Minimum 2.5 years of experience as a Python Developer.
- Minimum 2.5 years of experience in any framework like Django/Flask/Fast API
- Minimum 2.5 years of experience in SQL/ Postgress
- Minimum 2.5 years of experience in Git/Gitlab/Bit-Bucket
- Minimum 2+ years of experience in deployment (CICD with Jenkins)
- Minimum 2.5 years of experience in any cloud like AWS/GCP/Azure
About NeoSoft Technologies (A CMMi Level 5 Organization)
Neosoft Technologies is an IT outsourcing company located in Mumbai, Pune, Bangalore & Noida in India offering excellent Web Development, Mobile Application, Cloud Computing, QA & Testing, UX / UI Design & Internet Marketing.
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1. Bridging the gap between IT and the business using data analytics to assess processes, determine requirements and deliver data-driven recommendations and reports to executives and stakeholders.
2. Ability to search, extract, transform and load data from various databases, cleanse and refine data until it is fit-for-purpose
3. Work within various time constraints to meet critical business needs, while measuring and identifying activities performed and ensuring service requirements are met
4. Prioritization of issues to meet deadlines while ensuring high-quality delivery
5. Ability to pull data and to perform ad hoc reporting and analysis as needed
6. Ability to adapt quickly to new and changing technical environments as well as strong analytical and problem-solving abilities
7. Strong interpersonal and presentation skills
SKILLS:
1. Advanced skills in designing reporting interfaces and interactive dashboards in Google Sheets and Excel
2. Experience working with senior decision-makers
3. Strong advanced SQL/MySQL and Python skills with the ability to fetch data from the Data Warehouse as per the stakeholder's requirement
4. Good Knowledge and experience in Excel VBA and advanced excel
5. Good Experience in building Tableau analytical Dashboards as per the stake holder's reporting requirements
6. Strong communication/interpersonal skills
PERSONA:
1. Experience in working on adhoc requirements
2. Ability to toggle around with shifting priorities
3. Experience in working for Fintech or E-commerce industry is preferable
4. Engineering 2+ years of experience as a Business Analyst for the finance processes
Changing the way cataloging is done across the Globe. Our vision is to empower the smallest of
sellers, situated in the farthest of corners, to create superior product images and videos, without the need
for any external professional help. Imagine 30M+ merchants shooting Product Images or Videos using
their Smartphones, and then choosing Filters for Amazon, Asos, Airbnb, Doordash, etc to instantly
compose High-Quality "tuned-in" product visuals, instantly.
editing AI software, to capture and process beautiful product images for online selling. We are also
fortunate and proud to be backed by the biggest names in the investment community including the likes of
Accel Partners, Angellist and prominent Founders and Internet company operators, who believe that
there is an intelligent and efficient way of doing Digital Production than how the world operates currently.
Job Description :
- We are looking for a seasoned Computer Vision Engineer with AI/ML/CV and Deep Learning skills to
play a senior leadership role in our Product & Technology Research Team.
- You will be leading a team of CV researchers to build models that automatically transform millions of ecommerce, automobiles, food, real-estate ram images into processed final images.
- You will be responsible for researching the latest art of the possible in the field of computer vision,
designing the solution architecture for our offerings and lead the Computer Vision teams to build the core
algorithmic models & deploy them on Cloud Infrastructure.
- Working with the Data team to ensure your data pipelines are well set up and
models are being constantly trained and updated
- Working alongside product team to ensure that AI capabilities are built as democratized tools that
provides internal as well external stakeholders to innovate on top of it and make our customers
successful
- You will work closely with the Product & Engineering teams to convert the models into beautiful products
that will be used by thousands of Businesses everyday to transform their images and videos.
Job Requirements:
- 4-5 years of experience overall.
- Looking for strong Computer Vision experience and knowledge.
- BS/MS/ Phd degree in Computer Science, Engineering or a related subject from a ivy league institute
- Exposure on Deep Learning Techniques, TensorFlow/Pytorch
- Prior expertise on building Image processing applications using GANs, CNNs, Diffusion models
- Expertise with Image Processing Python libraries like OpenCV, etc.
- Good hands-on experience on Python, Flask or Django framework
- Authored publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR,ICCV, ACL)
- Prior experience of managing teams and building large scale AI / CV projects is a big plus
- Great interpersonal and communication skills
- Critical thinker and problem-solving skills
Position: Manager/Head- Data Scientist/Machine Learning Engineer
- Algorithm Development: Develop cutting-edge algorithms and predictive models to enhance customer experience, optimize inventory management, and drive sales growth
- AI/ML Model Building: Utilize expertise in data science and machine learning to create scalable AI models specifically tailored for both online platforms and brick-and-mortar stores, aiming to improve operational efficiency and customer engagement.
- Ecommerce Optimization: Collaborate with cross-functional teams to implement data-driven solutions for personalized recommendations, demand forecasting, and dynamic pricing strategies to drive online sales and enhance customer satisfaction.
- Deep Learning & Image Recognition: Leverage advanced techniques in deep learning and image recognition to develop innovative solutions for product categorization, visual search, and inventory tracking, optimizing product discovery and inventory management.
- Python Development: Proficiency in Python programming is essential for designing, implementing, and maintaining robust and scalable machine learning pipelines and models, ensuring efficient deployment and integration into existing systems.
Qualifications and Experience:
- Bachelor’s/Master’s degree in Computer Science, Data Science, Statistics, or related fields.
- 3 to 4 years of hands-on experience in data science, machine learning, and deep learning, preferably within the ecommerce or retail sector.
- Proven track record of successful implementation of AI/ML models with tangible business impact.
- Strong proficiency in Python, along with familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience working with image data, including feature extraction, object detection, and classification.
- Excellent problem-solving skills, ability to work independently, and communicate complex technical concepts effectively to diverse stakeholders.
● Proficient in Python and using packages like NLTK, Numpy, Pandas
● Should have worked on deep learning frameworks (like Tensorflow, Keras, PyTorch, etc)
● Hands-on experience in Natural Language Processing, Sequence, and RNN Based models
● Mathematical intuition of ML and DL algorithms
● Should be able to perform thorough model evaluation by creating hypotheses on the basis of statistical
analyses
● Should be comfortable in going through open-source code and reading research papers.
- Provide insights based on data to business teams
- Develop framework, solutions and recommendations for business problems
- Build ML models for predictive solutions
- Use advance data science techniques to build business solutions
- Automation / Optimization of new/existing models ensuring smooth,timely and accurate execution with lowest possible TAT.
- Design & maintenance of response tracking, measurement, and comparison of success parameters of various projects.
- Ability to handle large volumes of data with ease using multiple software like Python ,R etc
Experience in modeling techniques and hands on experience in building Logistic regression models, Random Forrest, K-mean Cluster, NLP, Decision tree, Boosting techniques etc
- Good at data interpretation and reasoning skills
Immediate Joiners Preferred
NOTE: Working Shift: 11 am - 8 pm IST (+/- one hour on need basis) Monday to Friday
Responsibilities :
1. Leverage Alteryx to build, maintain, execute and deliver data assets. This entails using data analytics tools (combination of proprietary tools, Excel, and scripting), validating raw data quality, and working with Tableau/ Power BI and other geospatial data visualization applications
2. Analyze large data sets in Alteryx, finding patterns and providing a concise summary
3. Implement, maintain, and troubleshoot analytics solution and derive key insights based on Tableau/ Power BI visualization and data analysis
4. Improve ETL setup and develop components so they can be rapidly deployed and configured
5. Conduct data assessment, perform data quality checks and transform data using SQL and ETL tools
Qualification :
1. 3+ years of relevant and professional work experience with a reputed analytics firm
2. Bachelor's degree in Engineering / Information Technology from a reputed college
3. Must have the knowledge to handle/design/optimize complex ETL using Alteryx
4. Expertise with visualization tools such as Tableau /Power BI to solve a business problem related to data exploration and visualization
5. Good knowledge in handling large amounts of data through SQL, T-SQL or PL-SQL
6. Basic knowledge in Python for data processing will be good to have
7. Very good understanding of data warehousing and data lake concepts
- Handling Survey Scripting Process through the use of survey software platform such as Toluna, QuestionPro, Decipher.
- Mining large & complex data sets using SQL, Hadoop, NoSQL or Spark.
- Delivering complex consumer data analysis through the use of software like R, Python, Excel and etc such as
- Working on Basic Statistical Analysis such as:T-Test &Correlation
- Performing more complex data analysis processes through Machine Learning technique such as:
- Classification
- Regression
- Clustering
- Text
- Analysis
- Neural Networking
- Creating an Interactive Dashboard Creation through the use of software like Tableau or any other software you are able to use.
- Working on Statistical and mathematical modelling, application of ML and AI algorithms
What you need to have:
- Bachelor or Master's degree in highly quantitative field (CS, machine learning, mathematics, statistics, economics) or equivalent experience.
- An opportunity for one, who is eager of proving his or her data analytical skills with one of the Biggest FMCG market player.
About Us:
GreedyGame is looking for a Business Analyst to join its clan. We are looking to get an enthusiastic Business Analyst who likes to play with Data. You'll be building insights from Data, creating analytical dashboard and monitoring KPI values. Also you will coordinate with teams working on different layers of the infrastructure.
Job details:
Seniority Level: Associate
Level Industry: Marketing & Advertising
Employment Type: Full Time
Job Location: Bangalore
Experience: 1-2 years
WHAT ARE WE LOOKING FOR?
- Excellent planning, organizational, and time management skills.
- Exceptional analytical and conceptual thinking skills.
- A previous experience of working closely with Operations and Product Teams.
- Competency in Excel and SQL is a must.
- Experience with a programming language like Python is required.
- Knowledge of Marketing Tools is preferable.
WHAT WILL BE YOUR RESPONSIBILITIES?
- Evaluating business processes, anticipating requirements, uncovering areas for improvement, developing and implementing solutions.
- Should be able to generate meaningful insights to help the marketing team and product team in enhancing the user experience for Mobile and Web Apps.
- Leading ongoing reviews of business processes and developing optimization strategies.
- Performing requirements analysis from a user and business point of view
- Combining data from multiple sources like SQL tables, Google Analytics, Inhouse Analytical signals etc and driving relevant insights
- Deciding the success metrics and KPIs for different Products and features and making sure they are achieved.
- Act as quality assurance liaison prior to the release of new data analysis or application.
Skills and Abilities:
- Python
- SQL
- Business Analytics
- BigQuery
WHAT'S IN IT FOR YOU?
- An opportunity to be a part of a fast scaling start-up in the AdTech space that offers unmatched services and products.
- To work with a team of young enthusiasts who are always upbeat and self-driven to achieve bigger milestones in shorter time spans.
- A workspace that is wide open as per the open door policy at the company, located in the most happening center of Bangalore.
- A well-fed stomach makes the mind work better and therefore we provide - free lunch with a wide variety on all days of the week, a stocked-up pantry to satiate your want for munchies, a Foosball table to burst stress and above all a great working environment.
- We believe that we grow as you grow. Once you are a part of our team, your growth also becomes essential to us, and in order to make sure that happens, there are timely formal and informal feedbacks given
- Building and operationalizing large scale enterprise data solutions and applications using one or more of AZURE data and analytics services in combination with custom solutions - Azure Synapse/Azure SQL DWH, Azure Data Lake, Azure Blob Storage, Spark, HDInsights, Databricks, CosmosDB, EventHub/IOTHub.
- Experience in migrating on-premise data warehouses to data platforms on AZURE cloud.
- Designing and implementing data engineering, ingestion, and transformation functions
-
Azure Synapse or Azure SQL data warehouse
-
Spark on Azure is available in HD insights and data bricks
- Experience with Azure Analysis Services
- Experience in Power BI
- Experience with third-party solutions like Attunity/Stream sets, Informatica
- Experience with PreSales activities (Responding to RFPs, Executing Quick POCs)
- Capacity Planning and Performance Tuning on Azure Stack and Spark.
Required Python ,R
work in handling large-scale data engineering pipelines.
Excellent verbal and written communication skills.
Proficient in PowerPoint or other presentation tools.
Ability to work quickly and accurately on multiple projects.