Engineering Manager

12+ years of experience in a senior design role within a media agency or similar environment, with a focus on corporate branding and packaging design.

- Proven track record of leading successful corporate branding and packaging design projects, with a portfolio that showcases your creative prowess.

- Bachelor's or Master's degree in Design, Visual Arts, or a related field is required.

- Proficiency in design software such as Adobe Creative Suite, Sketch, Figma, etc.

- Demonstrates professionalism, confidence, and composure in high-pressure situations.

- Possesses strong organizational skills and an adaptable mindset to accommodate evolving project

Requirements.

- Has a keen attention to detail.

- Takes initiative and actively contributes ideas.

- Presents confidently in high-level client meetings, presentations, and pitches.

- Displays curiosity and encourages it within the team.

- Receives and provides feedback positively, while also guiding junior team members.

- Maintains a passion for learning new skills and encourages team members to do the same.

- Earns high trust and respect from both clients and colleagues.

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.

We at Thena are looking for a Machine Learning Engineer with 2-4 years of industry experience to join our team. The ideal candidate will be passionate about developing and deploying ML models that drive business value and have a strong background in ML Ops.

Responsibilities:

• Develop, fine-tune, and deploy ML models for B2B customer communication and collaboration use cases.
• Collaborate with cross-functional teams to define requirements, design models, and deploy them in production.
• Optimize model performance and accuracy through experimentation, iteration, and testing.
• Build and maintain ML infrastructure and tools to support model development and deployment.
• Stay up-to-date with the latest research and best practices in ML, and share knowledge with the team.

Qualifications:

• 2-4 years of industry experience in machine learning engineering, with a focus on natural language processing (NLP) and text classification models.
• Experience with ML Ops, including deploying and managing ML models in production environments.
• Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
• Experience with Embeddings and building on top of LLMs.
• Strong problem-solving and analytical skills, with the ability to develop creative solutions to complex problems.
• Strong communication skills, with the ability to collaborate effectively with cross-functional teams.
• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.

• Drive UI/UX & design aspects of the platform Innovate on UX to provide the best possible experience to the customer
• Convert UI design wireframes to functional UI (HTML/CSS/JS)
• Build high performant UI features
• Optimise existing features for better performance
• Build reusable code and libraries for future use
• Complete the assigned features with validations
• Should take end-to-end ownership and pride in building assigned features
• Collaborate across the teams to define, design, and ship new features
• Budget work and stick to the deadlines
• Requirements
  
  • 3+ years of experience as a front-end developer
  • At least one product built and published
  • Proven experience in building/or been a lead contributor in a tech set-up
  • Strong analytical and structural thinking skills
  • Passion to build beautiful, responsive and performant user experiences
  • Strong understanding and fundamentals in Javascript & JQuery
  • Proficient in React.js, material design concepts, UI/UX best practices and design standards
  • Willing to work on pure Javascript based projects as well as React.js based projects
  • Proficient understanding of cross-browser compatibility issues and their solutions.
  • Proficient in HTML5 CSS3
  • Proficient with CSS preprocessors LESS and SASS

• Maintain UNIX/Linux Operating System
• Create and maintain environment for running batch jobs associated with daily batch cycle and batch reporting subsystem
• Work with LAN/Network personnel to ensure compatibility with LAN applications and peripheral hardware to provide end users with reliable and stable working environment
• Support and maintain other vendor database software installed on the LAN servers
• Perform User Access Management.
• Experience supporting day-today administration functions including user account management and script creation
• Apply Patches and Upgrades as necessary. Perform tasks for Backup and Recovery Management including High Availability
• Install and configure storage arrays and allocate SAN and NAS storage to different OS platforms and/or administer ZFS storage pools, file system, snapshots, and clones.
• Experience in Linux hypervisors KVM, XEN.
• Good knowledge on open stack administration and service operations.
• Good experience on veritas net backup software.
• Strong experience in public clouds AWS, AZURE, GCP.
• Solid knowledge of protocols such as DNS, HTTP, LDAP, SMTP and SNM
• Good understanding on AWS outposts hybrid environment.
• Good experience in the windows server and OS side.
• Experience in Monitoring platforms like Zabbix, ELK, Grafana.
• Troubleshoot Hardware Issues, Installation, and testing of computer peripherals
• Perform/Implement Security Monitoring and audit to identify any possible security intrusions or breaches.
• Collaborate with other teams and team members to develop automation strategies and deployment processes

Qualifications:

1. Degree in Computer Science, Computer Engineer, or other related courses
2. Minimum of 10 years’ experience
3. In-depth knowledge of Linux: RedHat, CentOS, Debian, etc.
4. In-depth knowledge in Linux virtualization
5. good knowledge of UNIX and LINUX Operating systems, file systems, storage environments, and networking protocols
6. Knowledgeable in Unix, Linux, Unix, Linux shell scripting. Practical scripting skills in Shell, PERL, Batch, Python
7. good DBA skills MySQL, MariaDB, PostgreSQL, Timescale, MongoDB
8. Basic Messaging and Collaboration concepts and tools, Server Virtualization
9. Practical understanding of Networking - routing, subnets, UDP, TCP, IP, and VLANs
10. Backup and Storage Management (Netback up mandatory).
11. Familiar and can identify or interpret crash dump files and core dump files and monitor System Logs

Desired Candidate Profile

What you need to have

The IT sales role is responsible to contact and follow up with leads and potential clients in international markets to convert into clients:

1. Sales to be done by phone and email.

2. Cold calling and closing the deal.

3. The sales executive should generate client interest

4. The sales executive should be able to ensure that this interest is converted into purchases by the client

Product Manager

Location : Gurgaon

Education Qualification : B.Tech/M.Tech, MBA from Tier 1 institute preferred

Skills Required : Define product line, identify market requirements, define the product vision, creating preliminary design concepts and drive the implementation of the product roadmap.

Experience : 3 to 6 years

We are looking to hire a smart product manager who is passionate about taking up ideas and

bringing them to life. You will engage with our customer base directly, and decide the future of the product by working closely with key partners. You will also collaborate with marketing, sales and support to ensure smooth product roll out and user engagement.

Responsibilities:

• As a product manager, you will take end to end ownership of a product line, identify market requirements, define the product vision, creating preliminary design concepts and drive the implementation of the product roadmap.
• The perfect candidate has to be a strategic thinker who is extremely analytical and detail oriented and great at multitasking and prioritizing.
• Analyze the effectiveness of the current features and define ways to improve them in order to reduce failure rates, increase usage and improve booking conversion rates based on analytics data and good understanding of customer needs.
• Work closely with the design & development teams to explain requirements of new features and change requests for current features.
• Closely manage roll out of all product requirements with focus on both quality and time to market.
• In charge of competitor analysis, market analysis, product analysis, business cases, product evolution, feature prioritization, high level requirement gathering, and product marketing.

Requirements :

• Works well under pressure has the ability to work within stringent timelines and to collaborate across departments to achieve results.
• Must be a true problem solver with outstanding skills in discovery techniques and the proven ability to translate the underlying business needs of requests into actionable items.
• A strong focus on detail, with the proven ability to ensure data and related reports are thorough and totally reliable.
• A demonstrated enthusiasm for learning and working with new tools and technologies is essential.
• Experience with business users and able to translate business requirements into software requirements.
• B.E./B.Tech a must. MBA from premier institutes preferred

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

Job Role – SDE2

Duration – 12 months

Location – HYD

Key Skills:

• 3- 5 years
• Understanding databases and building reports
• Ideal candidate should have experience in Cosmos, Kusto and powerbi
• Mandatory experience in some Database query language(such as SQL)