Salesforce Business Development Manager

Role - Principle Engg | Reactjs

Skill Set - Programming

• React js with Redux,
• HTML5/CSS3
• Javascript
• Mobx (optional)
• Storybook (optional)

Unit Test Cases: Jest & Enzyme

Code Quality:

• SonarQube Knowledge
• Strong hold on unit-testing frameworks and writing effective unit tests

Other Important Skills:

• Engineering & Design Skills
• Good analytical & problem solving skills
• Ability to ship features end to end without much guidance
• Experienced with Agile methodologies

Soft Skills

• Good communication skills
• Zeal to learn new technologies & Methodologies

·      The Objective:

You will play a crucial role in designing, implementing, and maintaining our data infrastructure, run tests and update the systems

·      Job function and requirements

o  Expert in Python, Pandas and Numpy with knowledge of Python web Framework such as Django and Flask.

o  Able to integrate multiple data sources and databases into one system.

o  Basic understanding of frontend technologies like HTML, CSS, JavaScript.

o  Able to build data pipelines.

o  Strong unit test and debugging skills.

o  Understanding of fundamental design principles behind a scalable application

o  Good understanding of RDBMS databases among Mysql or Postgresql.

o  Able to analyze and transform raw data.

·      About us

Mitibase helps companies find warm prospects every month that are most relevant, and then helps their team to act on those with automation. We do so by automatically tracking key accounts and contacts for job changes and relationships triggers and surfaces them as warm leads in your sales pipeline.

Location: Udyog Vihar, Gurgaon

Experience: 6 Months - 2 Years

Salary: 20k to 25k (Incentives)

Mode: Full-Time (Work from Office)

Shift: UK (9 hours shift including 1 hour break)

Days: 5 Days working

- Candidate must have minimum 6 months experience of International Sales/Lead generation

- Excellent English Communication skills

- Good at negotiation & closing the deals by his own end

- Both side cab & Meals provided by the company

- Fresher / Domestic Sales candidates are Not Allowed

- Qualification - Any Graduate

Interested candidates can apply.

Job Responsibilities:

• Collaboratively work with UX team, product managers, back-end engineers and other technical teams to create new, delightful and scalable UI
• Mentor junior members through training and individual support
• Responsible for all front end development on a project
• Ensure the technical feasibility of UI/UX designs
• Optimize application for maximum speed and scalability
• Identify and troubleshoot UX problems (e.g. responsiveness)
• Conduct layout adjustments based on user feedback
• Adhere to style standards on fonts, colors and images
• Optimize existing user interface designs
• Proactively learn and accordingly apply new technologies, best design practices and usability patterns

The ideal candidate must - 

• 5+ years of experience working with React or React-based frameworks
• Proficiency with browser-based debugging and performance testing
• Proficiency in Git and version control
• Considerable experience with a testing framework (Jest/Mocha)
• Familiarity with RESTful APIs and GraphQL
• Knowledge of modern authorization mechanisms, such as JWT Tokens
• Good understanding of common front-end development tools such as Babel, Webpack, NPM, Yarn etc
• Hands-on experience with CSS-in-JS libraries
• Proficient understanding of cross-browser compatibility issues and ways to work around them
• Keen to learn, mentor and willingness to take ownership of work items
• Possess strong communication and self-accountability

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.