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Machine Learning (ML)We are looking for an outstanding ML Architect (Deployments) with expertise in deploying Machine Learning solutions/models into production and scaling them to serve millions of customers. A candidate with an adaptable and productive working style which fits in a fast-moving environment.
Skills:
- 5+ years deploying Machine Learning pipelines in large enterprise production systems.
- Experience developing end to end ML solutions from business hypothesis to deployment / understanding the entirety of the ML development life cycle.
- Expert in modern software development practices; solid experience using source control management (CI/CD).
- Proficient in designing relevant architecture / microservices to fulfil application integration, model monitoring, training / re-training, model management, model deployment, model experimentation/development, alert mechanisms.
- Experience with public cloud platforms (Azure, AWS, GCP).
- Serverless services like lambda, azure functions, and/or cloud functions.
- Orchestration services like data factory, data pipeline, and/or data flow.
- Data science workbench/managed services like azure machine learning, sagemaker, and/or AI platform.
- Data warehouse services like snowflake, redshift, bigquery, azure sql dw, AWS Redshift.
- Distributed computing services like Pyspark, EMR, Databricks.
- Data storage services like cloud storage, S3, blob, S3 Glacier.
- Data visualization tools like Power BI, Tableau, Quicksight, and/or Qlik.
- Proven experience serving up predictive algorithms and analytics through batch and real-time APIs.
- Solid working experience with software engineers, data scientists, product owners, business analysts, project managers, and business stakeholders to design the holistic solution.
- Strong technical acumen around automated testing.
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)
- Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.)
- Experience in developing and debugging in one or more of the languages Java, Python.
- Ability to work in cross functional teams.
- Apply Machine Learning techniques in production including, but not limited to, neuralnets, regression, decision trees, random forests, ensembles, SVM, Bayesian models, K-Means, etc.
Roles and Responsibilities:
Deploying ML models into production, and scaling them to serve millions of customers.
Technical solutioning skills with deep understanding of technical API integrations, AI / Data Science, BigData and public cloud architectures / deployments in a SaaS environment.
Strong stakeholder relationship management skills - able to influence and manage the expectations of senior executives.
Strong networking skills with the ability to build and maintain strong relationships with both business, operations and technology teams internally and externally.
Provide software design and programming support to projects.
Qualifications & Experience:
Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Machine Learning Architect (Deployments) or a similar role for 5-7 years.
Data Science
R Programming
PythonMachine Learning (ML)- 3+ years experience in practical implementation and deployment of ML based systems preferred.
- BE/B Tech or M Tech (preferred) in CS/Engineering with strong mathematical/statistical background
- Strong mathematical and analytical skills, especially statistical and ML techniques, with familiarity with different supervised and unsupervised learning algorithms
- Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimisation
- Experience in working on modeling graph structures related to spatiotemporal systems
- Programming skills in Python
- Experience in developing and deploying on cloud (AWS or Google or Azure)
- Good verbal and written communication skills
- Familiarity with well-known ML frameworks such as Pandas, Keras, TensorFlow
Job Sector: IT, Software
Job Type: Permanent
Location: Chennai
Experience: 10 - 20 Years
Salary: 12 – 40 LPA
Education: Any Graduate
Notice Period: Immediate
Key Skills: Python, Spark, AWS, SQL, PySpark
Contact at triple eight two zero nine four two double seven
Job Description:
Requirements
- Minimum 12 years experience
- In depth understanding and knowledge on distributed computing with spark.
- Deep understanding of Spark Architecture and internals
- Proven experience in data ingestion, data integration and data analytics with spark, preferably PySpark.
- Expertise in ETL processes, data warehousing and data lakes.
- Hands on with python for Big data and analytics.
- Hands on in agile scrum model is an added advantage.
- Knowledge on CI/CD and orchestration tools is desirable.
- AWS S3, Redshift, Lambda knowledge is preferred
at Altimetrik
Bigdata with cloud:
Experience : 5-10 years
Location : Hyderabad/Chennai
Notice period : 15-20 days Max
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
An IT Services Major, hiring for a leading insurance player.
Client An IT Services Major, hiring for a leading insurance player.
Position: SENIOR CONSULTANT
Job Description:
- Azure admin- senior consultant with HD Insights(Big data)
Skills and Experience
- Microsoft Azure Administrator certification
- Bigdata project experience in Azure HDInsight Stack. big data processing frameworks such as Spark, Hadoop, Hive, Kafka or Hbase.
- Preferred: Insurance or BFSI domain experience
- 5 to 5 years of experience is required.
Scala- 5+ years of experience in a Data Engineering role on cloud environment
- Must have good experience in Scala/PySpark (preferably on data-bricks environment)
- Extensive experience with Transact-SQL.
- Experience in Data-bricks/Spark.
- Strong experience in Dataware house projects
- Expertise in database development projects with ETL processes.
- Manage and maintain data engineering pipelines
- Develop batch processing, streaming and integration solutions
- Experienced in 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 Data Lake, Azure SQL DW (Synapse), and SQL Database products or equivalent products from other cloud services providers
- In-depth understanding of data management (e. g. permissions, security, and monitoring).
- Cloud repositories for e.g. Azure GitHub, Git
- Experience in an agile environment (Prefer Azure DevOps).
Good to have
- Manage source data access security
- Automate Azure Data Factory pipelines
- Continuous Integration/Continuous deployment (CICD) pipelines, Source Repositories
- Experience in implementing and maintaining CICD pipelines
- Power BI understanding, Delta Lake house architecture
- Knowledge of software development best practices.
- Excellent analytical and organization skills.
- Effective working in a team as well as working independently.
- Strong written and verbal communication skills.
- Expertise in database development projects and ETL processes.
PythonMachine Learning (ML)Data ScienceDo you want to help build real technology for a meaningful purpose? Do you want to contribute to making the world more sustainable, advanced and accomplished extraordinary precision in Analytics?
What is your role?
As a Computer Vision & Machine Learning Engineer at Datasee.AI, you’ll be core to the development of our robotic harvesting system’s visual intelligence. You’ll bring deep computer vision, machine learning, and software expertise while also thriving in a fast-paced, flexible, and energized startup environment. As an early team member, you’ll directly build our success, growth, and culture. You’ll hold a significant role and are excited to grow your role as Datasee.AI grows.
What you’ll do
- You will be working with the core R&D team which drives the computer vision and image processing development.
- Build deep learning model for our data and object detection on large scale images.
- Design and implement real-time algorithms for object detection, classification, tracking, and segmentation
- Coordinate and communicate within computer vision, software, and hardware teams to design and execute commercial engineering solutions.
- Automate the workflow process between the fast-paced data delivery systems.
What we are looking for
- 1 to 3+ years of professional experience in computer vision and machine learning.
- Extensive use of Python
- Experience in python libraries such as OpenCV, Tensorflow and Numpy
- Familiarity with a deep learning library such as Keras and PyTorch
- Worked on different CNN architectures such as FCN, R-CNN, Fast R-CNN and YOLO
- Experienced in hyperparameter tuning, data augmentation, data wrangling, model optimization and model deployment
- B.E./M.E/M.Sc. Computer Science/Engineering or relevant degree
- Dockerization, AWS modules and Production level modelling
- Basic knowledge of the Fundamentals of GIS would be added advantage
Prefered Requirements
- Experience with Qt, Desktop application development, Desktop Automation
- Knowledge on Satellite image processing, Geo-Information System, GDAL, Qgis and ArcGIS
About Datasee.AI:
Datasee>AI, Inc. is an AI driven Image Analytics company offering Asset Management solutions for industries in the sectors of Renewable Energy, Infrastructure, Utilities & Agriculture. With core expertise in Image processing, Computer Vision & Machine Learning, Takvaviya’s solution provides value across the enterprise for all the stakeholders through a data driven approach.
With Sales & Operations based out of US, Europe & India, Datasee.AI is a team of 32 people located across different geographies and with varied domain expertise and interests.
A focused and happy bunch of people who take tasks head-on and build scalable platforms and products.
Data ScienceR ProgrammingPythonMachine Learning (ML)A Reputed Analytics Consulting Company in Data Science field
Machine Learning (ML)Data SciencePython
Job Title : Analyst / Sr. Analyst – Data Science Developer - Python
Exp : 2 to 5 yrs
Loc : B’lore / Hyd / Chennai
NP: Candidate should join us in 2 months (Max) / Immediate Joiners Pref.
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About the role:
We are looking for an Analyst / Senior Analyst who works in the analytics domain with a strong python background.
Desired Skills, Competencies & Experience:
• • 2-4 years of experience in working in the analytics domain with a strong python background. • • Visualization skills in python with plotly, matplotlib, seaborn etc. Ability to create customized plots using such tools. • • Ability to write effective, scalable and modular code. Should be able to understand, test and debug existing python project modules quickly and contribute to that. • • Should be familiarized with Git workflows.
Good to Have: • • Familiarity with cloud platforms like AWS, AzureML, Databricks, GCP etc. • • Understanding of shell scripting, python package development. • • Experienced with Python data science packages like Pandas, numpy, sklearn etc. • • ML model building and evaluation experience using sklearn.
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Data SciencePythonR Programming
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