Associate - Digital Media Coordination

I. Core Responsibilities & Operations

• Advanced Setup & Operation: Independently perform complex setup of 3-axis, 4-axis, and 5-axis Vertical Machining Centers (VMC) for production runs, including fixture alignment, tool pre-setting, and datum establishment.
• Program Ownership: Proficiently read, edit, and optimize existing CNC programs (G-code/M-code) for improved cycle time, tool life, and surface finish, particularly for complex, contoured aerospace parts.
• First-Part Approval (FPA): Responsibility for running the first component (first off), conducting full dimensional inspection, and signing off on the production setup sheet (Setup Verification).
• Troubleshooting: Act as the first line of defense for machine, tooling, and program issues, conducting root cause analysis (RCA) for non-conformances and implementing immediate corrective actions.
• Material Expertise: Expertly machine exotic aerospace materials such as Titanium, Inconel, Invar, and specialized aluminum/stainless steel alloys, understanding material-specific cutting parameters.

II. Quality, Inspection & Compliance

• GD&T Mastery: Expertly interpret complex engineering blueprints, technical drawings, and specifications using advanced Geometric Dimensioning and Tolerancing (GD&T) principles.
• Precision Measurement: Perform detailed, in-process, and final quality checks using a full range of precision instruments (e.g., micrometers, bore gauges, height masters, and surface roughness testers).
• Tolerancing: Consistently achieve and maintain ultra-tight tolerances, often in the range of $\pm 0.0005$ inches ($\pm 12 \mu m$) as required for flight-critical components.
• Documentation: Maintain meticulous and accurate production records, tool logs, inspection reports, and adherence to AS9100/ISO 9001 quality standards for traceability.

III. Process Optimization & Leadership

• Process Improvement: Proactively identify and propose Kaizen/Continuous Improvement initiatives related to tooling, fixturing, and machining strategies to increase productivity (throughput) and reduce scrap rates.
• Mentorship: Train, guide, and mentor junior operators and setters on best practices, machine safety, quality control procedures, and technical setup skills.
• Maintenance: Perform detailed preventive maintenance (PM) tasks and communicate complex machine performance issues to the maintenance team effectively to minimize downtime.

Experience: 4-5 years as a VMC Operator/Setter, preferably in Aerospace, Defence, or High-Precision manufacturing industries.

Machinery: Strong hands-on experience with 3/4/5-axis VMC machines (e.g., Haas, Fanuc, Siemens control systems).

Technical: Expert in GD&T and ability to read $\mu m/\mu in$ surface finish callouts.

Software: Ability to read/edit G-code; experience with CAM software (Mastercam, Siemens NX, PowerMill) is a significant advantage.

Education: Diploma in Mechanical Engineering

Job Description

We are looking for a Verbal Ability trainer to take classes for students preparing for various competitive exams like RRB, BANKING, SSC, etc.

ROLES & RESPONSIBILITIES:

• Taking classes and doubt sessions on verbal ability for Banking, SSC and RRB Exams.
• Solving doubts of students individually as well as in a group session.
• preparing questions and test series for Bank exams, SSC and RRB.
• Conduct Doubt Clearing sessions for area-specific problems.
• Mentoring students to handle exam-specific challenges.
• Create lesson plans and strategies that are custom designed for students in group.
• Prescribe follow-up work to be undertaken by students to revise and reinforce concepts and skills dealt with in classroom discussions.
• Be prepared and equipped for both offline and online sessions.
• Be part of promotional and awareness activities and campaigns.
• Stay updated on exam and test related patterns, schedules, subjects, eligibility, difficulty level, etc.

SKILLS REQUIRED

• Exposure/Updated knowledge of the Banking, RRB and SSC Exams is essential.
• Must be passionate about teaching.
• Strong planning and organizational skills.
• Excellent analytical and problem-solving abilities.
• Patience and resilience.
• A high degree of diplomacy.
• Great conflict resolution skills.
• Fluent in English or Hindi
• Those candidates who have already been successful in Banking exams/SSC/RRB will get preference.
• Must be bilingual. Knowledge of Hindi is a must. Additional knowledge in Tamil, Telugu, or Malayalam is an added advantage.

Responsibilities

● Be a hands-on engineer, ensure frameworks/infrastructure built is well designed,

scalable & are of high quality.

● Build and/or operate platforms that are highly available, elastic, scalable, operable and

observable.

● Build/Adapt and implement tools that empower the TI AI engineering teams to

self-manage the infrastructure and services owned by them.

● You will identify, articulate, and lead various long-term tech vision, strategies,

cross-cutting initiatives and architecture redesigns.

● Design systems and make decisions that will keep pace with the rapid growth of TI AI.

● Document your work and decision-making processes, and lead presentations and

discussions in a way that is easy for others to understand.

● Available for on-call during emergencies to handle and resolve problems in a quick and

efficient manner.

Requirements

● 2+ years of Hands-on experience as a DevOps / Infrastructure engineer with AWS and

Kubernetes or similar infrastructure platforms. (preferably AWS)

● Hands-on with DevOps principles and practices ( Everything-as-a-code, CI/CD, Test

everything, proactive monitoring etc).

● Experience in building and operating distributed systems.

● Understanding of operating systems, virtualization, containerization and networks

preferable

● Hands-on coding on any of the languages like Python or GoLang.

● Familiarity with software engineering practices including unit testing, code reviews, and

design documentation.

● Strong debugging and problem-solving skills Curiosity about how things work and love to

share that knowledge with others.

Benefits :

● Work with a world class team working on a very forward looking problem

● Competitive Pay

● Flat hierarchy

● Health insurance for the family

. 3.5+ years of work experience on React.JS framework

· Has expertise in following front- end optimization techniques:

· Lazy Loading

· Asynchronous Module Definition

· Image Compression and Minification

· Other front-end tooling using Grunt / Webpack and NPM

· Familiarity with NodeJS, Jasmine / Karma and other unit testing frameworks

· Foundation data structure – Arrays, dictionaries, sets and lists

· Proficient in evaluating front end performance and measure accordingly

· Strong appetite to learn industry trends and new & emerging technologies

What you need to have:

• 4+ Years of experience
• Excellent analytical skills and skills to leverage data, metrics, analytics, and consumer behaviour trends to generate creative ideas
• Prior experience in ASO (organic growth)
• Experience working in a cross-functional team environment
• Awareness of different growth channels like Influencer Marketing, etc.   

Responsible for developing software and Deliverables using cutting-edge technologies. Interact with cross-functional teams and develop software applications as per client specifications. Dot Net Engineer is responsible for designing, developing, and configuring software systems to meet requirements and is accountable for the delivery of end-to-end systems from analysis, design, implementation, and quality assurance to delivery. Responsible for delivering in an Agile manner and following all the software development processes.

JOB  Description

1. Minimum 5 years of development experience with any full stack framework (except Java based)
2. Experience in designing effective data structures and algorithms
3. Experience with sql and no-sql databases and designs
4. In-depth understanding of javascript concepts and one front-end framework
5. Experience with version control and project management tools
6. Experience in developing and consuming REST web services.
7. excellent oral and written communication (english + 1 local language)
8. analytical and problem-solving skills
9. familiarity with any cloud service provider - aws/digital ocean/azure

Roles and Responsibilities

1. requirement gathering and proving
2. feasibility analysis
3. estimations & planning
4. prepare and maintain relevant documentation
5. coding, debugging, testing
6. benchmarking and performance upkeep
7. deployment & maintenance

Signs you would be a good fit

1. you enjoy crafting elegant, well-tested solutions, not just delivering working code
2. you have logical and well-researched opinions on existing and new technologies, and relish the learnings and challenges of working on different platforms and products
3. you have an entrepreneurial mindset
4. you are a quick learner with proven reasoning skills
5. you explore beyond your resume

About Eloquent Studio Pvt Ltd

Team of 1-10 people

Located in Pune, Maharashtra, India

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