Digital Marketing

Layer Tech Solutions is looking for a detail-oriented Business Analyst with 1–3 years of experience to support our growing team. The ideal candidate will bridge the gap between business needs and technical solutions.

• Analyze business processes and identify areas for improvement
• Gather and document requirements from stakeholders
• Collaborate with cross-functional teams to develop solutions
• Prepare reports, dashboards, and presentations
• Strong analytical, problem-solving, and communication skills
• Experience with tools like JIRA, Confluence, or similar preferred
• Knowledge of IT services or software development lifecycle is a plus

We @Cerebry are an edtech startup and making world's First AI based truely Adaptive Platform. Our API generates Mathematics Questions on the fly as per student's performance.There are some time some erros in Questions Generated.So we need people who are smart in Mathematics and good in logic.

Thanks

Experience: 5 to 6 years

Tertiary qualifications in Software Engineering.

2+ years experience in front end development using React or another JS or TS based language such as VueJS, Angular 8years.

2+ years experience in modern web design.

2+ years experience in full stack development using Python or PHP based backends.

1+ years experience microservices development.

1+ years experience with AWS Lambda, API Gateway or similar.

Understanding of OAuth or OIDC authentication flows Understanding of the OWASP Top 10 secure coding recommendations.

Exposure to basic Database Design.

Exposure to and understanding of PromQL or GraphQL, REST and SOAP.

Requirements:

Ability to work effectively in a team and independently.

Excellent English written and verbal communication skills.

Ability to multi-task and work under pressure.

Strong organizational, analytical and problem solving skills.

Ability to develop and maintain strong interpersonal working relationships with peers and customers.

Thoroughness and a high level of attention to detail.

Must be able to conceptualise systems that comprise of people, process and/or technologies and consider the broader integration perspectives.

• Hands-on design and coding are mandatory.
• Design and develop new features and functionality for a consumer e-commerce product with rich UI content.
• 5+ years of experience in building single-page applications using modern JS frameworks.
• Expertise in React JS, ES6, HTML5, SCSS, and related technologies.
• Experience building front-end for products from scratch.
• Experience in building REST API, preferably using .Net Web API.
• Should have good experience with application design, implementation, maintenance, diagnosing/correcting issues, and maintaining compliance with industry security standards under minimal direction.
• Research and evaluate new software, frameworks, and techniques to provide recommendations to the division.
• Implement defect free quality code by writing appropriate unit-tests and regression tests.
• Should possess excellent Interpersonal and communication skills.
• Bachelor's degree in Computer Science or a technical field.

Datametica is Hiring for Datastage Developer

• Must have 3 to 8 years of experience in ETL Design and Development using IBM Datastage Components.
• Should have extensive knowledge in Unix shell scripting.
• Understanding of DW principles (Fact, Dimension tables, Dimensional Modelling and Data warehousing concepts).
• Research, development, document and modification of ETL processes as per data architecture and modeling requirements.
• Ensure appropriate documentation for all new development and modifications of the ETL processes and jobs.
• Should be good in writing complex SQL queries.

About Us!

A global Leader in the Data Warehouse Migration and Modernization to the Cloud, we empower businesses by migrating their Data/Workload/ETL/Analytics to the Cloud by leveraging Automation.

We have expertise in transforming legacy Teradata, Oracle, Hadoop, Netezza, Vertica, Greenplum along with ETLs like Informatica, Datastage, AbInitio & others, to cloud-based data warehousing with other capabilities in data engineering, advanced analytics solutions, data management, data lake and cloud optimization.

Datametica is a key partner of the major cloud service providers - Google, Microsoft, Amazon, Snowflake.

We have our own products!

Eagle – Data warehouse Assessment & Migration Planning Product

Raven – Automated Workload Conversion Product

Pelican - Automated Data Validation Product, which helps automate and accelerate data migration to the cloud.

Why join us!

Datametica is a place to innovate, bring new ideas to live and learn new things. We believe in building a culture of innovation, growth and belonging. Our people and their dedication over these years are the key factors in achieving our success.

Benefits we Provide!

Working with Highly Technical and Passionate, mission-driven people

Subsidized Meals & Snacks

Flexible Schedule

Approachable leadership

Access to various learning tools and programs

Pet Friendly

Certification Reimbursement Policy

Check out more about us on our website below!

www.datametica.com

Job Description - Product manager

Experience - 1 - 3 years

Job Location - Vashi, Navi Mumbai

Skills Required - Product Management, Product Strategy, Product development, Business Analysis, Agile/Scrum, Product Lifecycle Management (PLM)

Role description: Primary responsibility of the role would be to define the product roadmap & backlog, work with business and functional teams to design and implement changes that drive user acquisition, user experience & monetization.

Key responsibilities:

· Lead a development team to implement product changes while working collaboratively with multiple stakeholders like Design, Sales, Operations & Management.

· Analyze data to derive product & business insights and use them to strategize changes.

· Analyze data to derive product & business insights and use them to strategize changes.

· Iteratively improve on the product by running tests.

· Be responsible for prioritization of features based on an assessment of business impact & effort.

· Report findings & periodic reviews with Management.

· The ideal candidate would have the following qualities Understanding and experience of Digital Product Development Life Cycle.

· Excellent business analysis & problem-solving skills.

· Result-driven, goal-oriented work ethic.

· Customer empathy, ability to think from the user's point of view.

· Excellent written and verbal communication, including technical writing skills.

· Understanding of technology and exposure to software coding.

· Experience in Business Requirement Specification documentation/product backlog (Epics, User stories).

· Experience of working in an agile environment is preferred.

· Understanding of user experience (UI/UX).

· Product development experience including experience in digital product building/tech delivery is preferred.

About the Company CarWale is India's largest auto media company. CarWale has always strived to serve car buyers and owners in the most comprehensive and convenient way possible. We provide a platform where car buyers and owners can research, buy, sell and come together to discuss and talk about their cars. Our mission is to bring joy and delight into car buying and ownership. To achieve this goal, we aim to empower Indian consumers to make informed car buying and ownership decisions with exhaustive and un-biased information on cars through our expert reviews, owner reviews, detailed specifications and comparisons. We understand that a car is by and large the second-most expensive asset a consumer associates his lifestyle with. Together with CarTrade & BikeWale, we are the market leaders in the personal mobility media

Role and Responsibilities

• Execute data mining projects, training and deploying models over a typical duration of 2 -12 months.
• The ideal candidate should be able to innovate, analyze the customer requirement, develop a solution in the time box of the project plan, execute and deploy the solution.
• Integrate the data mining projects embedded data mining applications in the FogHorn platform (on Docker or Android).

Core Qualifications
Candidates must meet ALL of the following qualifications:

• Have analyzed, trained and deployed at least three data mining models in the past. If the candidate did not directly deploy their own models, they will have worked with others who have put their models into production. The models should have been validated as robust over at least an initial time period.
• Three years of industry work experience, developing data mining models which were deployed and used.
• Programming experience in Python is core using data mining related libraries like Scikit-Learn. Other relevant Python mining libraries include NumPy, SciPy and Pandas.
• Data mining algorithm experience in at least 3 algorithms across: prediction (statistical regression, neural nets, deep learning, decision trees, SVM, ensembles), clustering (k-means, DBSCAN or other) or Bayesian networks

Bonus Qualifications
Any of the following extra qualifications will make a candidate more competitive:

• Soft Skills
  • Sets expectations, develops project plans and meets expectations.
  • Experience adapting technical dialogue to the right level for the audience (i.e. executives) or specific jargon for a given vertical market and job function.
• Technical skills
  • Commonly, candidates have a MS or Ph.D. in Computer Science, Math, Statistics or an engineering technical discipline. BS candidates with experience are considered.
  • Have managed past models in production over their full life cycle until model replacement is needed. Have developed automated model refreshing on newer data. Have developed frameworks for model automation as a prototype for product.
  • Training or experience in Deep Learning, such as TensorFlow, Keras, convolutional neural networks (CNN) or Long Short Term Memory (LSTM) neural network architectures. If you don’t have deep learning experience, we will train you on the job.
  • Shrinking deep learning models, optimizing to speed up execution time of scoring or inference.
  • OpenCV or other image processing tools or libraries
  • Cloud computing: Google Cloud, Amazon AWS or Microsoft Azure. We have integration with Google Cloud and are working on other integrations.
  • Decision trees like XGBoost or Random Forests is helpful.
  • Complex Event Processing (CEP) or other streaming data as a data source for data mining analysis
  • Time series algorithms from ARIMA to LSTM to Digital Signal Processing (DSP).
  • Bayesian Networks (BN), a.k.a. Bayesian Belief Networks (BBN) or Graphical Belief Networks (GBN)
  • Experience with PMML is of interest (see www.DMG.org).
• Vertical experience in Industrial Internet of Things (IoT) applications:
  • Energy: Oil and Gas, Wind Turbines
  • Manufacturing: Motors, chemical processes, tools, automotive
  • Smart Cities: Elevators, cameras on population or cars, power grid
  • Transportation: Cars, truck fleets, trains

About FogHorn Systems
FogHorn is a leading developer of “edge intelligence” software for industrial and commercial IoT application solutions. FogHorn’s Lightning software platform brings the power of advanced analytics and machine learning to the on-premise edge environment enabling a new class of applications for advanced monitoring and diagnostics, machine performance optimization, proactive maintenance and operational intelligence use cases. FogHorn’s technology is ideally suited for OEMs, systems integrators and end customers in manufacturing, power and water, oil and gas, renewable energy, mining, transportation, healthcare, retail, as well as Smart Grid, Smart City, Smart Building and connected vehicle applications.

Press:  https://www.foghorn.io/press-room/">https://www.foghorn.io/press-room/

Awards: https://www.foghorn.io/awards-and-recognition/">https://www.foghorn.io/awards-and-recognition/

• 2019 Edge Computing Company of the Year – Compass Intelligence
• 2019 Internet of Things 50: 10 Coolest Industrial IoT Companies – CRN
• 2018 IoT Planforms Leadership Award & Edge Computing Excellence – IoT Evolution World Magazine
• 2018 10 Hot IoT Startups to Watch – Network World. (Gartner estimated 20 billion connected things in use worldwide by 2020)
• 2018 Winner in Artificial Intelligence and Machine Learning – Globe Awards
• 2018 Ten Edge Computing Vendors to Watch – ZDNet & 451 Research
• 2018 The 10 Most Innovative AI Solution Providers – Insights Success
• 2018 The AI 100 – CB Insights
• 2017 Cool Vendor in IoT Edge Computing – Gartner
• 2017 20 Most Promising AI Service Providers – CIO Review

Our Series A round was for $15 million.  Our Series B round was for $30 million October 2017.  Investors include: Saudi Aramco Energy Ventures, Intel Capital, GE, Dell, Bosch, Honeywell and The Hive.

About the Data Science Solutions team
In 2018, our Data Science Solutions team grew from 4 to 9.  We are growing again from 11. We work on revenue generating projects for clients, such as predictive maintenance, time to failure, manufacturing defects.  About half of our projects have been related to vision recognition or deep learning. We are not only working on consulting projects but developing vertical solution applications that run on our Lightning platform, with embedded data mining.

Our data scientists like our team because:

• We care about “best practices”
• Have a direct impact on the company’s revenue
• Give or receive mentoring as part of the collaborative process
• Questions and challenging the status quo with data is safe
• Intellectual curiosity balanced with humility
• Present papers or projects in our “Thought Leadership” meeting series, to support continuous learning