Data Science Analyst

MUST-HAVES: 

• Machine Learning + Aws + (EKS OR ECS OR Kubernetes) + (Redshift AND Glue) + Sage maker
• Notice period - 0 to 15 days only 
• Hybrid work mode- 3 days office, 2 days at home

SKILLS: AWS, AWS CLOUD, AMAZON REDSHIFT, EKS

ADDITIONAL GUIDELINES:

• Interview process: - 2 Technical round + 1 Client round
• 3 days in office, Hybrid model. 

CORE RESPONSIBILITIES:

• The MLE will design, build, test, and deploy scalable machine learning systems, optimizing model accuracy and efficiency
• Model Development: Algorithms and architectures span traditional statistical methods to deep learning along with employing LLMs in modern frameworks.
• Data Preparation: Prepare, cleanse, and transform data for model training and evaluation.
• Algorithm Implementation: Implement and optimize machine learning algorithms and statistical models.
• System Integration: Integrate models into existing systems and workflows.
• Model Deployment: Deploy models to production environments and monitor performance.
• Collaboration: Work closely with data scientists, software engineers, and other stakeholders.
• Continuous Improvement: Identify areas for improvement in model performance and systems.

SKILLS:

• Programming and Software Engineering: Knowledge of software engineering best practices (version control, testing, CI/CD).
• Data Engineering: Ability to handle data pipelines, data cleaning, and feature engineering. Proficiency in SQL for data manipulation + Kafka, Chaos search logs, etc. for troubleshooting; Other tech touch points are Scylla DB (like BigTable), OpenSearch, Neo4J graph
• Model Deployment and Monitoring: MLOps Experience in deploying ML models to production environments.
• Knowledge of model monitoring and performance evaluation.

REQUIRED EXPERIENCE:

• Amazon SageMaker: Deep understanding of SageMaker's capabilities for building, training, and deploying ML models; understanding of the Sage maker pipeline with ability to analyze gaps and recommend/implement improvements
• AWS Cloud Infrastructure: Familiarity with S3, EC2, Lambda and using these services in ML workflows
• AWS data: Redshift, Glue
• Containerization and Orchestration: Understanding of Docker and Kubernetes, and their implementation within AWS (EKS, ECS)

Company: Torrent Power 

Experience: 3 - 8 Years (Relevant)

Location: Ahmedabad (WFO)

Type: Permanent Position (Full Time)

Position: PHP Devops (AM – PHP/Devops)

Skills: Jenkins , GitLab , Sonarqube

CTC: 12 LPA

Notice: 1 Month or less

Job Descriptions-

• Web developer ( PHP - Android / DevOps )
• Must have 3 years of PHP team lead experience
• Must have good experience in PHP and its MVC frameworks
• Experience in MySQL(5.6+) tuning and management
• Experience in developing Continuous Integration/ Continuous Delivery pipelines (CI/ CD). Must have good knowledge and experience of DevOps tools like Jenkins , GitLab , Sonarqube  etc
• Knowledge of Low Code & No code  Mobile Application Development Platform for rapid development , testing & deployment for enterprise mobile application will be an added advantage.
• Good knowledge in web and mobile cybersecurity will be preferred.
• Awareness of various automated testing tools like selenium, j Meter, Unit Testing will be of added advantage
• Should have worked on large scale enterprise application
• Experience in Linux web server management
• Required to have excellent business analysis and system design skills with UI/UX
• Experience in Project and team management

What you need to have:

We are looking for someone who is enthusiastic about client servicing, is adept at team management and can lead projects. 

The Client Success Executive will be responsible for directly communicating

with the client and be responsible for understanding the client's brief and

coordinating work between different teams. 

• Plan for pitches to new/existing clients
• Build a strategy for the team so everyone has work and responsibilities
• Distribute work amongst team members

• Meet and liaise with clients to discuss and identify their promotional requirements
• Liaise with, and act as the link between, the client and the team by maintaining

regular contact with both

• Ensure that communication flows effectively
• Negotiate with clients and agency staff about the details of campaigns
• Handle budgets, manage campaign costs and invoice clients
• Monitor the effectiveness of campaigns
• Arrange and attend meetings

• Make pitches, along with the team, with the aim of securing new business for the

company

• Write client reports
• Present creative work to clients for approval or modification
• Work with the team to devise a campaign that meets the client's brief and budget
• Present the campaign ideas and budget to the client
• Work with the key stakeholders for formulation of marketing strategies
• Train new joinees and ensure smooth workflow

• Stay abreast with the latest brand campaigns
• Stay up to date with all relevant things in the marketing, advertising and media space

About Sportz Interactive

Sportz Interactive (SI) works with its clients and partners to revolutionize the sports fan experience across consumption points by creating best-in-class, kickass products. SI was founded in 2002 as a B2B sports content business. Through the years, it gained immense reputation for its state-of-the-art hosted solutions, digital simulators, match centers and fantasy games. Sportz Interactive has a fantastic reputation in the online sports community, having worked with clients across the globe including the likes of The International Cricket Council, STAR Sports, Yahoo!, AOL, Eurosport, Castrol, Web 18, NDTV, Nimbus, Times of India, Rediff.com and Singtel amongst others. 

Sportz Interactive provides in-depth sports information and content and specializes in product development for the web, mobile and other interactive platforms. 
http://www.sportzinteractive.net/">www.sportzinteractive.net 

Designation: Senior Associate

Office Location: Goregaon East, Mumbai

Position description: 3+ years of experience on web technologies.

Primary Responsibilities:

• Actively work on server-side development on the .NET framework
• Browser / client-side development on JavaScript (or its libraries such as JQuery). Work with data structures such as XML and JSON
• Translate application storyboards and use cases into functional applications
• Design, build, and maintain efficient, reusable, and reliable code
• Integrate data storage solutions like Postgres SQL and Redis
• Ensure the best possible performance, quality and responsiveness of applications
• Identify bottlenecks and bugs, and devise solutions to mitigate and address these issues
• Help maintain code quality, organization, and automatization

Required Skills:

Mandatory: Passionate about sports, Problem-solving, Team player, Target & Result oriented.

Functional: C#, OOPS Concepts, Web API, MVC, LinQ, NET Core 2.0, 2.1, 3.0, DI, WCF, Cron Job / Services, Database Development - MS SQL/Oracle DB/PostGreSQL/Redis/Cassandra, Architectural Patterns, Design Principles, OWASP Adherence, Testing Frameworks like NUnit, Nginx, AWS - Cloud Computing, Async Programming.

• Manage sales operations in assigned district to achieve revenue goals.
• Supervise sales team members; the BSMs, on daily basis and provide guidance whenever needed.
• Identify skill gaps and conduct trainings to sales team.
• Work with team to implement new sales techniques to obtain profits.
• Assist in employee recruitment, promotion, retention and termination activities.
• Conduct employee performance evaluation and provide feedback for improvements.
• Contact potential customers and identify new business opportunities.
• Stay abreast with customer needs, market trends and competitors.
• Maintain clear and complete sales reports for management review.
• Build strong relationships with customers for business growth.
• Analyze sales performances and recommend improvements.
• Ensure that sales team follows company policies and procedures at all times.
• Develop promotional programs to increase sales and revenue.
• Plan and coordinate sales activities for assigned projects.

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