11+ MIPI Jobs in India

alog Circuit Design::

• The candidate should have B.Tech or M.Tech in Electronics/Electrical/VLSI Design Engineering
• The candidate should have relevant work experience of 7-16 years in Analog and SERDES IO IP design e.g. GPIOs, Thermal Sensor, PLL, ADC/DAC/ Voltage regulators/LDOs, AIB, HBMIO, DDR, HDMI/DP IO, MIPI IO etc.

Experience- 3 - 5 Years

Budget-  7 - 8 LPA

Qualifications:

• Master’s degree in Business Administration or any Graduate in IT or Computer Science or MCA.  
• Minimum of 3 years of experience in business development within the IT services industry.
• Proven track record of achieving sales targets and driving business growth.
• Strong leadership and team management skills.
• Excellent communication, negotiation, and presentation skills.
• Strategic thinker with the ability to execute plans effectively.
• Ability to work in a fast-paced, dynamic environment and manage multiple priorities.

• 5+ years of experience in software engineering
• A background in front-end web development and/or API development.
• Demonstrated competency in one or more of the following: JavaScript, TypeScript, React/Redux, AngularJS,  or comparable JavaScript MVC framework.
• Demonstrated competency in one or more of the following client-side build tool: Webpack, gulp, jspm
• Have a good understanding of what good UX and UI design are.
• Experienced in client-side framework/technologies before such as: React, AngularJS, jQuery, HTML, CSS
• Experienced in using client-side build tools such as gulp, WebPack, JSPM, NodeJS, and other CLI is a plus
• Understand how to get good performance on UI implementation (time to interaction, bundling, and splitting resources)
• Some previous work portfolios would be great.
• Good knowledge of how to use source control systems like git and GitHub.

Skills required:

• Excellent analytical and Communication Skills.
• Willingness to be a team player and show initiative where needed.
• Excellent Man Management, PR and Customer Relationship Management, Keen Business sense and Eye for details.
• Good Experience in B2B Sales
• Excellent Planning & Business Presentation Skills to interact Management, teams, and clients.

Job Description:

• Scan the market for business opportunities
• Develop strategies for marketing of Company’s services
• Collect and analyze market intelligence
• Work on Online database tools and business promotions
• Generate Leads and make cold calls
• Develop and document / prepare documents for marketing
• Develop contacts for business promotion
• Participate in promotional activities like trade fairs, seminars, etc
• Co-ordinate with Advertising companies for direct marketing
• Prepare RFIs ,RFPs and RFQs
• Meet KRA’s to obtain business growth numbers and revenue aligned as per the Corporate Strategic Policy deployment plan for the verticals assigned
• Maintain daily report on the work progress using the Corporate Internal system and procedures in In4 – Sales and Marketing Modules.

We are looking for an outstanding ML Architect (Deployments) with expertise in deploying Machine Learning solutions/models into production and scaling them to serve millions of customers. A candidate with an adaptable and productive working style which fits in a fast-moving environment.

Skills:

- 5+ years deploying Machine Learning pipelines in large enterprise production systems.

- Experience developing end to end ML solutions from business hypothesis to deployment / understanding the entirety of the ML development life cycle.
- Expert in modern software development practices; solid experience using source control management (CI/CD).
- Proficient in designing relevant architecture / microservices to fulfil application integration, model monitoring, training / re-training, model management, model deployment, model experimentation/development, alert mechanisms.
- Experience with public cloud platforms (Azure, AWS, GCP).
- Serverless services like lambda, azure functions, and/or cloud functions.
- Orchestration services like data factory, data pipeline, and/or data flow.
- Data science workbench/managed services like azure machine learning, sagemaker, and/or AI platform.
- Data warehouse services like snowflake, redshift, bigquery, azure sql dw, AWS Redshift.
- Distributed computing services like Pyspark, EMR, Databricks.
- Data storage services like cloud storage, S3, blob, S3 Glacier.
- Data visualization tools like Power BI, Tableau, Quicksight, and/or Qlik.
- Proven experience serving up predictive algorithms and analytics through batch and real-time APIs.
- Solid working experience with software engineers, data scientists, product owners, business analysts, project managers, and business stakeholders to design the holistic solution.
- Strong technical acumen around automated testing.
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)
- Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.)
- Experience in developing and debugging in one or more of the languages Java, Python.
- Ability to work in cross functional teams.
- Apply Machine Learning techniques in production including, but not limited to, neuralnets, regression, decision trees, random forests, ensembles, SVM, Bayesian models, K-Means, etc.

Roles and Responsibilities:

Deploying ML models into production, and scaling them to serve millions of customers.

Technical solutioning skills with deep understanding of technical API integrations, AI / Data Science, BigData and public cloud architectures / deployments in a SaaS environment.

Strong stakeholder relationship management skills - able to influence and manage the expectations of senior executives.
Strong networking skills with the ability to build and maintain strong relationships with both business, operations and technology teams internally and externally.

Provide software design and programming support to projects.

 Qualifications & Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Machine Learning Architect (Deployments) or a similar role for 5-7 years.

About the Role:

• Your goal is to drive revenue & profitability via organic search with defined growth targets via up-levelling the content, SEO structure & tech.
• Directly manage SEO Team & deal with tech leads to hit monthly, quarterly, and annual traffic & revenue goals.
• You must have an excellent understanding of search engines, crawler behaviour.
• You must understand the technicality of using web crawlers, log analyzers, and set tools. • Understanding of code at least read/understand HTML.
• Your analytical and statistical skills should be strong — excellent level of expertise of Google Analytics, webmaster tools, etc.
• Be competitive and engender a sense of urgency, creativity, and curiosity for how we continue to outperform the competition in SEO.
• Understand how changes in search engine impact campaign performance, and build scalable, automated solutions to stay ahead of trends.
• Respond to rapid changes in the event landscape and marketplace to capture potential performance opportunities for Organic search.
• Manage and measure performance across keyword targets, but execute ad hoc strategic initiatives
• Establish the innovation mindset and always-on experimentation, including new page development, a/b test on-page optimization, schemas, etc.
• Highlight technical pitfalls and become the driving force behind building a reliable foundation of SEO tech (e.g., structured data, schema markup) and process that will scale in India & Overseas.
• Set clear KPIs and drive a team culture of accountability and rigor towards business impact.
• Be a domain expert on the educational industry.

What we are looking for

• Proven track record of building top talent and high performance.
• A Team Player
• Experience managing large scale systems in competitive and rapid growth environments
• Leadership on multiple well-known products throughout their life cycles, from idea conception to product release and maintenance.
• Bachelor's degree/MBA with equivalent experience of 4 - 5 years in Digital Marketing domain.
• Edu-tech and E-Commerce experience will be preferred.
• Extensive understanding of the digital marketing industry, best practices, user behavior, and buyer's psychology.
• A dynamic candidate who can adopt new techniques quickly.
• Strong understanding of social media marketing techniques.
• Ability to analyze metric data and convey recommendations appropriately to supervisors.
• Self-motivated, detail oriented and able to prioritize daily work efficiently.

React Native Developer Job Description

- We are looking for 2-3 years of qualified React Native developer to join our work on our Fintech Products (Algomojo, Optionaction, Tradeaction)

- You will be working with our engineers to develop and maintain high-quality mobile applications for both platforms like Android and iOS.

- Ultimately, you should be able to design and build the next generation of our mobile applications.

- The role requires developers to be comfortable with bleeding-edge technology and be able to work in a fast-paced environment.

Job Responsibilities and Required Skills :

Build pixel-perfect, buttery smooth UIs across both mobile platforms.
Leverage native APIs for deep integrations with both platforms.
Diagnose and fix bugs and performance bottlenecks for performance that feels native.
implement mission-critical software fixes—React Native moves fast and often breaks things.
Maintain code and write automated tests to ensure the product is of the highest quality.
Experience with React Js, React Native, JavaScript including DOM manipulation and the JavaScript object model.
Thorough understanding of React Native and its core Principles.
Hands-on experience on React Native Framework for at least 2-3 years.
Familiarity with code versioning tools (Such as Gitl)
Familiarity with RESTful APIs
Familiarity with modern front-end build pipelines and tools.
Experience with common front-end development tools such as Babel, Web pack, NPM, etc.
Experience with Native Mobile app deployment on App store and google play store.
Knowledge of native Android and iOS is required
Knowledge of TV App Development is a plus