Java
Machine Learning (ML)
Python
Subodh Popalwar
Software Engineer, Memorres
About Deemsoft
Deemsoft is a provider of digital marketing services that help businesses grow and succeed in today's competitive market. Deemsoft offers enterprise software, enterprise automation, cyber security, and database systems that enable businesses to streamline their operations, improve their security posture, and enhance their customer engagement.
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Data Analytics● Proficiency in Linux.
● Experience working with AWS cloud services: EC2, S3, RDS, Redshift.
● Must have SQL knowledge and experience working with relational databases, query
authoring (SQL) as well as familiarity with databases including Mysql, Mongo, Cassandra,
and Athena.
● Must have experience with Python/Scala.
● Must have experience with Big Data technologies like Apache Spark.
● Must have experience with Apache Airflow.
● Experience with data pipelines and ETL tools like AWS Glue.
Python
Data ScienceMachine Learning (ML)Experience: 1- 5 Years
Job Location: WFH
No. of Position: Multiple
Qualifications: Ph.D. Must have
Work Timings: 1:30 PM IST to 10:30 PM IST
Functional Area: Data Science
NextGen Invent is currently searching for Data Scientist. This role will directly report to the VP, Data Science in Data Science Practice. The person will work on data science use-cases for the enterprise and must have deep expertise in supervised and unsupervised machine learning, modeling and algorithms with a strong focus on delivering use-cases and solutions at speed and scale to solve business problems.
Job Responsibilities:
- Leverage AI/ML modeling and algorithms to deliver on use cases
- Build modeling solutions at speed and scale to solve business problems
- Develop data science solutions that can be tested and deployed in Agile delivery model
- Implement and scale-up high-availability models and algorithms for various business and corporate functions
- Investigate and create experimental prototypes that work on specific domains and verticals
- Analyze large, complex data sets to reveal underlying patterns, and trends
- Support and enhance existing models to ensure better performance
- Set up and conduct large-scale experiments to test hypotheses and delivery of models
Skills, Knowledge, Experience:
- Must have Ph.D. in an analytical or technical field (e.g. applied mathematics, computer science)
- Strong knowledge of statistical and machine learning methods
- Hands on experience on building models at speed and scale
- Ability to work in a collaborative, transparent style with cross-functional stakeholders across the organization to lead and deliver results
- Strong skills in oral and written communication
- Ability to lead a high-functioning team and develop and train people
- Must have programming experience in SQL, Python and R
- Experience conceiving, implementing and continually improving machine learning projects
- Strong familiarity with higher level trends in artificial intelligence and open-source platforms
- Experience working with AWS, Azure, or similar cloud platform
- Familiarity with visualization techniques and software
- Healthcare experience is a plus
- Experience in Kafka, Chatbot and blockchain is a plus.
PythonLocation : Gurgaon
About the company:
The company is 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. The company has built the world’s leading image 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 e
commerce, 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:
- Min 3+ years of work experience in Computer Vision with 5-10 years work experience overall
- 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
Seeking Data Analytics Trainer with Power BI and Tableau Expertise
Experience Required: Minimum 3 Years
Location: Indore
Part-Time / Full-Time Availability
We are actively seeking a qualified candidate to join our team as a Data Analytics Trainer, with a strong focus on Power BI and Tableau expertise. The ideal candidate should possess the following qualifications:
A track record of 3 to 6 years in delivering technical training and mentoring.
Profound understanding of Data Analytics concepts.
Strong proficiency in Excel and Advanced Excel.
Demonstrated hands-on experience and effective training skills in Python, Data Visualization, R Programming, and an in-depth understanding of both Power BI and Tableau.
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https://www.linkedin.com/in/shweta-bharti-a105ab197/
Data ScienceMachine Learning (ML)- 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
Python
ScalaJob Description:
As an Azure Data Engineer, your role will involve designing, developing, and maintaining data solutions on the Azure platform. You will be responsible for building and optimizing data pipelines, ensuring data quality and reliability, and implementing data processing and transformation logic. Your expertise in Azure Databricks, Python, SQL, Azure Data Factory (ADF), PySpark, and Scala will be essential for performing the following key responsibilities:
Designing and developing data pipelines: You will design and implement scalable and efficient data pipelines using Azure Databricks, PySpark, and Scala. This includes data ingestion, data transformation, and data loading processes.
Data modeling and database design: You will design and implement data models to support efficient data storage, retrieval, and analysis. This may involve working with relational databases, data lakes, or other storage solutions on the Azure platform.
Data integration and orchestration: You will leverage Azure Data Factory (ADF) to orchestrate data integration workflows and manage data movement across various data sources and targets. This includes scheduling and monitoring data pipelines.
Data quality and governance: You will implement data quality checks, validation rules, and data governance processes to ensure data accuracy, consistency, and compliance with relevant regulations and standards.
Performance optimization: You will optimize data pipelines and queries to improve overall system performance and reduce processing time. This may involve tuning SQL queries, optimizing data transformation logic, and leveraging caching techniques.
Monitoring and troubleshooting: You will monitor data pipelines, identify performance bottlenecks, and troubleshoot issues related to data ingestion, processing, and transformation. You will work closely with cross-functional teams to resolve data-related problems.
Documentation and collaboration: You will document data pipelines, data flows, and data transformation processes. You will collaborate with data scientists, analysts, and other stakeholders to understand their data requirements and provide data engineering support.
Skills and Qualifications:
Strong experience with Azure Databricks, Python, SQL, ADF, PySpark, and Scala.
Proficiency in designing and developing data pipelines and ETL processes.
Solid understanding of data modeling concepts and database design principles.
Familiarity with data integration and orchestration using Azure Data Factory.
Knowledge of data quality management and data governance practices.
Experience with performance tuning and optimization of data pipelines.
Strong problem-solving and troubleshooting skills related to data engineering.
Excellent collaboration and communication skills to work effectively in cross-functional teams.
Understanding of cloud computing principles and experience with Azure services.
ScalaPython
Location: Pune/Nagpur,Goa,Hyderabad/
Job Requirements:
- 9 years and above of total experience preferably in bigdata space.
- Creating spark applications using Scala to process data.
- Experience in scheduling and troubleshooting/debugging Spark jobs in steps.
- Experience in spark job performance tuning and optimizations.
- Should have experience in processing data using Kafka/Pyhton.
- Individual should have experience and understanding in configuring Kafka topics to optimize the performance.
- Should be proficient in writing SQL queries to process data in Data Warehouse.
- Hands on experience in working with Linux commands to troubleshoot/debug issues and creating shell scripts to automate tasks.
- Experience on AWS services like EMR.
Data ScienceMachine Learning (ML)As an Associate Manager - Senior Data scientist you will solve some of the most impactful business problems for our clients using a variety of AI and ML technologies. You will collaborate with business partners and domain experts to design and develop innovative solutions on the data to achieve
predefined outcomes.
• Engage with clients to understand current and future business goals and translate business
problems into analytical frameworks
• Develop custom models based on an in-depth understanding of underlying data, data structures,
and business problems to ensure deliverables meet client needs
• Create repeatable, interpretable and scalable models
• Effectively communicate the analytics approach and insights to a larger business audience
• Collaborate with team members, peers and leadership at Tredence and client companies
Qualification:
1. Bachelor's or Master's degree in a quantitative field (CS, machine learning, mathematics,
statistics) or equivalent experience.
2. 5+ years of experience in data science, building hands-on ML models
3. Experience leading the end-to-end design, development, and deployment of predictive
modeling solutions.
4. Excellent programming skills in Python. Strong working knowledge of Python’s numerical, data
analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, Jupyter, etc.
5. Advanced SQL skills with SQL Server and Spark experience.
6. Knowledge of predictive/prescriptive analytics including Machine Learning algorithms
(Supervised and Unsupervised) and deep learning algorithms and Artificial Neural Networks
7. Experience with Natural Language Processing (NLTK) and text analytics for information
extraction, parsing and topic modeling.
8. Excellent verbal and written communication. Strong troubleshooting and problem-solving skills.
Thrive in a fast-paced, innovative environment
9. Experience with data visualization tools — PowerBI, Tableau, R Shiny, etc. preferred
10. Experience with cloud platforms such as Azure, AWS is preferred but not required
Scala- 5+ years of experience in a Data Engineer role
- Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
- Experience with big data tools: Hadoop, Spark, Kafka, etc.
- Experience with relational SQL and NoSQL databases such as Cassandra.
- Experience with AWS cloud services: EC2, EMR, Athena
- Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
- Advanced SQL knowledge and experience working with relational databases, query authoring (SQL) as well as familiarity with unstructured datasets.
- Deep problem-solving skills to perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
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Software Engineer, Memorres