UI Designer

Qualifications:

1. Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
2. Minimum of 2 years of professional experience in Android application development.
3. Proficient in Java or Kotlin programming languages.
4. Experience with Android Studio and version control systems (e.g., Git).
5. Knowledge of RESTful APIs and integration with backend services.
6. Solid understanding of Android UI/UX design principles.
7. Familiarity with cloud services and mobile app security best practices.
8. Strong problem-solving and debugging skills.
9. Excellent communication and collaboration skills.

Key Responsibilities:

1. Collaborate with product managers, designers, and stakeholders to comprehend project requirements and translate them into technical specifications.
2. Develop, test, and maintain high-quality Android applications with a focus on user experience.
3. Collaborate closely with the backend development team to integrate mobile applications with server-side logic.
4. Stay abreast of the latest industry trends, best practices, and emerging technologies in mobile application development.
5. Optimize application performance, ensuring responsiveness across various devices.
6. Assist in defining and implementing new features, working collaboratively within cross-functional teams.
7. Conduct code reviews and provide constructive feedback to maintain code quality.

Note - Looking for folks from Tier1 or Tier 2 colleges !

Title: Sitecore Developer

Remote Work (Work from Home) 
Immediate joiners are preferred

Need candidate who is more into development and lesser experience on CMS (content management)

For Females Category

Excellent Verbal Communication Skills

We are currently looking for "Business Development Consultant" for US IT staffing for our branch office in Noida, UP.

• Timings are fixed Night shifts (9:00 pm to 6:00 am) with Saturday and Sunday Off
• Both side cab facility.
• In-House Meals are available.

Company Website links:

www.headfield.com

Technical/Core skills

1. Minimum 3 yrs of exp in Informatica Big data Developer(BDM) in Hadoop environment.
2. Have knowledge of informatica Power exchange (PWX).
3. Minimum 3 yrs of exp in big data querying tool like Hive and Impala.
4. Ability to designing/development of complex mappings using informatica Big data Developer.
5. Create and manage Informatica power exchange and CDC real time implementation
6. Strong Unix knowledge skills for writing shell scripts and troubleshoot of existing scripts.
7. Good knowledge of big data platforms and its framework.
8. Good to have an experience in cloudera data platform (CDP)
9. Experience with building stream processing systems using Kafka and spark
10. Excellent SQL knowledge

Soft skills :

1. Ability to work independently 
2. Strong analytical and problem solving skills
3. Attitude of learning new technology
4. Regular interaction with vendors, partners and stakeholders

• Having around 8+ years of Experience in IT industry in Software Development.
• Sound knowledge in Core Java
• Having work experience in SDN/NFV, Orchestration
• Having work experience in Open source and Open Flow Controller(SDN).
• Experience in Aglie methodology.
• Good Knowledge on MySQL ,Postgresql or any Timeseries DB,Kafka, Zookeeper
• Good Knowledge on ONOS, ODL (OpenDaylight) OpenKilda,Mininet.
• Having work experience in MVT/MVC architecture.
• Having good knowledge networks, devices, service modeling and automation in systems.
• Having work experience on API & JSON implémentation.
• Knowledge in OpenStack,Ansible, Shellscript, Chef, Puppet,
• Good Understanding of Software Development (i.e. SDLC)
• Good team player enthusiastic and quick learner
• Good interpersonal skill, commitment, result oriented with a quest and learn new technologies and understanding challenging tasks
• Knowledge in AWS, AZURE Cloud

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.

• Owns team's output and E2E definition and execution of SDLC. Drives sprint planning, estimates & prioritizes tasks, Keeps key stakeholders updated on progress, milestones, and any potential slippages.
• Identifies pitfalls across codebases proactively. Writes model code that is looked up to. Understands internals of programming languages & runtimes. Creates common reusable components/libraries- Uses advanced data structures.
• Designs API contracts between large systems with end-to-end service design and active leadership towards long-term sustainability including versioning, complex migration plans, impact analysis across products.
• Owns NFRs and pushes the envelope on performance, scalability, and high availability with cognizance towards the cost of infra. Drives tech stack selection independently, mentors junior engineers. Evangelises of generic platform building across the organization.
• Troubleshoots unseen issues across codebases. Solves large end-to-end cross-cutting problems with elegant solutions with an eye on long-term sustainability.
• Partners with and influences product managers on “how”. Leads the pack on hiring and evangelizes steeper hiring standards towards building an A+ team. Represents company on external platforms/conferences.

Qualifications:

• Bachelor's Degree in Computer Science or similar discipline
• 7+ years relevant work experience in software engineering while leading teams.
• Proficiency in more than one modern programming language such as Python (preferred) associated tech stack to write maintainable, scalable, unit-tested code
• Experience in building complex software systems that have been successfully delivered
• Should be strong with System Design and Database designing
• Deep understanding of design patterns, optimizations, deployments with Strong object-oriented design skills
• Experience mentoring other software engineers.
• Experience with full life cycle development in any programming language

Sales Executive Job Responsibilities:

• Builds business by identifying and selling prospects; maintaining relationships with clients.
• Identifies business opportunities by identifying prospects and evaluating their position in the industry; researching and analyzing sales options.
• Sells products by establishing contact and developing relationships with prospects; recommending solutions.
• Maintains relationships with clients by providing support, information, and guidance; researching and recommending new opportunities; recommending profit and service improvements.
• Identifies product improvements or new products by remaining current on industry trends, market activities, and competitors.
• Prepares reports by collecting, analyzing, and summarizing information.
• Maintains quality service by establishing and enforcing organization standards.
• Maintains professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; benchmarking state-of-the-art practices; participating in professional societies.
• Contributes to team effort by accomplishing related results as needed.