3+ years of experience in deployment, monitoring, tuning, and administration of high concurrency MySQL production databases.
- Solid understanding of writing optimized SQL queries on MySQL databases
- Understanding of AWS, VPC, networking, security groups, IAM, and roles.
- Expertise in scripting in Python or Shell/Powershell
- Must have experience in large scale data migrations
- Excellent communication skills.
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As a part of WWS, your expertise in machine learning helps us extract value from our data. You will lead all the processes from data collection, cleaning, and preprocessing, to training models and situating them to production. The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field.
What We Expect
- A Bachelor's/Master's degree in IT, computer science, or an advanced related field is preferred.
- At least 3+ years of experience working with ML libraries and packages.
- Familiarity with coding and programming languages, including Python, Java, C++, and SAS.
- Strong experience in programming and statistics.
- Well-versed in Data Science and neural schematics in networking and software.
- Flexibility in shifts is appreciated.
A Full Stack Developer’s Ideal Day At WWS
Design and Develop. The primary protocols include implementing machine learning algorithms and running AI systems experiments and tests. The Designing and development of machine learning systems along with performing statistical analyses falls under day to day activities of the developer.
Algorithm Assertion. The engineers act as critical members of the data science team as their tasks involve researching, asserting, and designing the artificial intelligence responsible for machine learning and maintaining and improving existing artificial intelligence systems.
Research and Development. To analyze large, complex datasets and extract insights and decide on the appropriate technique. research and implement best practices to improve the existing machine learning infrastructure. At most providing support to engineers and product managers in implementing machine learning as the product.
What You Can Expect
- Full-time, salaried positions creamed with welfare programs.
- Competitive salary and tailored training in the core space with recognition potential and annual bonus.
- Periodic performance appraisals.
- Attendance Incentives.
- Working with the best and budding talent in the industry.
- A conducive intangible environment with dynamic benefits.
Why Consider Machine Learning Engineer as a career with WWS?
With a very appealing work environment at WWS, our setting made it easier to build relationships with other staff members and clients. You may also have an opportunity to learn other aspects of environmental office work on the job, which can enhance your experience and qualifications.
Many businesses must proactively react to changing factors — like patterns of customer behavior or prices. Tracking model performance and retraining it once fresher data is available is key to success. This falls under the MLE range of responsibilities for which the requirement has been crucial for many organizations.
Please attach your resume and let us know through email your current address, phone number, and the best time to contact you by phone.
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Company Description
UpSolve is a Gen AI and Vision AI startup that helps businesses solve their problems by building custom solutions that drive strategic business decisions. Whether your business is facing time constraints or a lack of resources, UpSolve can help. We build enterprise grade AI solutions with focus on increasing ROI.
Role Description
This is a full-time hybrid role for a Business Analyst located in Mumbai.
Please note: This is an onsite role and good communication skills are expected (oral + written)
Responsibilities
1. Understand existing system integrations for the client.
2. Map and identify gaps in existing systems.
3. Ideate, Advise and Implement AI Solutions to optimize business process.
4. Collaborate with multiple teams and stakeholders.
Qualifications
- MBA with focus on Business Analytics or Bachelor's degree in Computer Science or IT
- Minimum 4 Years of Experience
- Strong written, verbal and collaboration skills
- Immediate Joiner (Less than 5 days)
Work Location: Mumbai, Work from Office
Working along with the highly motivated advanced Machine Learning team, with key responsibilities are to research, design, develop, and implement applications that will be integrated into our workflows. Responsibilities and Accountabilities:
I Experience:
III Skill Set & Personality Traits required:
|
Skills and requirements
- Experience analyzing complex and varied data in a commercial or academic setting.
- Desire to solve new and complex problems every day.
- Excellent ability to communicate scientific results to both technical and non-technical team members.
Desirable
- A degree in a numerically focused discipline such as, Maths, Physics, Chemistry, Engineering or Biological Sciences..
- Hands on experience on Python, Pyspark, SQL
- Hands on experience on building End to End Data Pipelines.
- Hands on Experience on Azure Data Factory, Azure Data Bricks, Data Lake - added advantage
- Hands on Experience in building data pipelines.
- Experience with Bigdata Tools, Hadoop, Hive, Sqoop, Spark, SparkSQL
- Experience with SQL or NoSQL databases for the purposes of data retrieval and management.
- Experience in data warehousing and business intelligence tools, techniques and technology, as well as experience in diving deep on data analysis or technical issues to come up with effective solutions.
- BS degree in math, statistics, computer science or equivalent technical field.
- Experience in data mining structured and unstructured data (SQL, ETL, data warehouse, Machine Learning etc.) in a business environment with large-scale, complex data sets.
- Proven ability to look at solutions in unconventional ways. Sees opportunities to innovate and can lead the way.
- Willing to learn and work on Data Science, ML, AI.
Familiar with the MicroStrategy architecture, Admin Certification Preferred
· Familiar with administrative functions, using Object Manager, Command Manager, installation/configuration of MSTR in clustered architecture, applying patches, hot-fixes
· Monitor and manage existing Business Intelligence development/production systems
· MicroStrategy installation, upgrade and administration on Windows and Linux platform
· Ability to support and administer multi-tenant MicroStrategy infrastructure including server security troubleshooting and general system maintenance.
· Analyze application and system logs while troubleshooting and root cause analysis
· Work on operations like deploy and manage packages, User Management, Schedule Management, Governing Settings best practices, database instance and security configuration.
· Monitor, report and investigate solutions to improve report performance.
· Continuously improve the platform through tuning, optimization, governance, automation, and troubleshooting.
· Provide support for the platform, report execution and implementation, user community and data investigations.
· Identify improvement areas in Environment hosting and upgrade processes.
· Identify automation opportunities and participate in automation implementations
· Provide on-call support for Business Intelligence issues
· Experience of working on MSTR 2021, MSTR 2021 including knowledge of working on Enterprise Manager and new features like Platform Analytics, Hyper Intelligence, Collaboration, MSTR Library, etc.
· Familiar with AWS, Linux Scripting
· Knowledge of MSTR Mobile
· Knowledge of capacity planning and system’s scaling needs
- 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.
● Frame ML / AI use cases that can improve the company’s product
● Implement and develop ML / AI / Data driven rule based algorithms as software items
● For example, building a chatbot that replies an answer from relevant FAQ, and
reinforcing the system with a feedback loop so that the bot improves
Must have skills:
● Data extraction and ETL
● Python (numpy, pandas, comfortable with OOP)
● Django
● Knowledge of basic Machine Learning / Deep Learning / AI algorithms and ability to
implement them
● Good understanding of SDLC
● Deployed ML / AI model in a mobile / web product
● Soft skills : Strong communication skills & Critical thinking ability
Good to have:
● Full stack development experience
Required Qualification:
B.Tech. / B.E. degree in Computer Science or equivalent software engineering
● 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).
Roles & Responsibilities
- Designing and delivering a best-in-class, highly scalable data governance platform
- Improving processes and applying best practices
- Contribute in all scrum ceremonies; assuming the role of ‘scum master’ on a rotational basis
- Development, management and operation of our infrastructure to ensure it is easy to deploy, scalable, secure and fault-tolerant
- Flexible on working hours as per business needs