GenAI( AI/ML) Jobs

GenAI Machine Learning Engineer

Job Description: GenAI Machine learning engineers operate at the crossroads of software engineering and data science. They utilize big data tools and programming frameworks to develop scalable, production-ready data science models capable of processing terabytes of real-time data.

Roles and Responsibilities:

• Develop and deploy machine learning models to production environments

• Collaborate with data scientists to transform prototypes into production-ready models

• Optimize machine learning models for performance and scalability

• Implement data pipelines and ensure efficient data flow for model training and inference

• Conduct model validation and testing to ensure robustness and accuracy

• Monitor and maintain machine learning models in production

• Stay updated with the latest advancements in machine learning and AI technologies

• Document model development processes and create technical reports

Primary Qualifications:

• Bachelor’s degree in Computer Science or a related field

• Strong background in data science, applied research, and software engineering

• Robust mathematical skills

• Experience in machine learning, deep learning, neural networks, and cloud applications

• Proficiency in programming languages such as Java, Python, and Scala

• Familiarity with software development IDE tools like Eclipse and IntelliJ

Salary Information:

• Average salary: $139,000

• At top tech companies like Apple, Facebook, Google, IBM, and Microsoft, salaries range from $180,000 to $250,000

GenAI Data Scientist

Job Description: Gen AI Data scientists collect and analyze raw data to derive insights for various purposes. They use technology tools, processes, and algorithms to extract knowledge from data and identify meaningful patterns. This can range from identifying anomalies in time-series data to predicting future events and making recommendations.

Roles and Responsibilities:

• Collect, clean, and preprocess data from various sources

• Analyze large datasets to discover trends and patterns

• Develop and implement data models and algorithms

• Use statistical techniques to identify and interpret complex data relationships

• Create visualizations to communicate findings to stakeholders

• Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions

• Continuously evaluate and improve model performance

• Stay updated with the latest data science tools and techniques

• Document processes and methodologies used in analysis

Primary Qualifications:

• Bachelor’s degree ( minimum ) 

• Advanced degree in statistics, mathematics, computer science, or related fields

• Understanding of unstructured data and statistical analysis

• Experience with cloud tools like Amazon S3 and the Hadoop platform

• Programming skills in Python, Perl, Scala, SQL, etc.

• Working knowledge of Hive, Hadoop, MapReduce, Pig, Spark, etc.

Salary Information:

• Average salary: $105,000

• With experience, can rise to $220,000 for a director of data science position.

GenAI Business Intelligence Developer

Job Description: GenAI Business Intelligence (BI) developers process complex internal and external data to identify trends and inform strategic decisions. They design, model, and maintain data platforms, ensuring data is accessible and usable for business users.

Roles and Responsibilities:

• Design, develop, and maintain BI solutions, including data models and dashboards

• Collaborate with business users to understand their data needs and requirements

• Integrate data from various sources to create a cohesive data warehouse

• Develop and optimize SQL queries for data extraction and reporting

• Implement and manage ETL (Extract, Transform, Load) processes

• Ensure data accuracy, integrity, and security

• Monitor and troubleshoot BI system performance

• Provide training and support to end-users on BI tools and applications

• Stay updated with the latest BI technologies and trends

Primary Qualifications:

• Bachelor’s degree in engineering, computer science, or a related field

• Hands-on experience in data warehouse design, data mining, SQL, etc.

• Familiarity with BI technologies like Tableau, Power BI, etc.

• Strong technical and analytical skills

Salary Information:

• Average salary: $110,500

• With experience, can rise to an average salary of $150,000

GenAI Research Scientist

Job Description: The role of a Research Scientist is academically driven, focusing on innovative and creative questions within the field of artificial intelligence (AI). Research scientists are experts in multiple AI disciplines, including mathematics, machine learning, deep learning, and statistics.

Roles and Responsibilities:

• Conduct advanced research in AI, focusing on areas like machine learning, deep learning, and statistical modeling

• Develop new algorithms and models to solve complex AI problems

• Collaborate with cross-functional teams to integrate research findings into practical applications

• Publish research findings in top-tier academic journals and conferences

• Stay updated with the latest advancements in AI and related fields

• Design and conduct experiments to validate research hypotheses

• Implement and optimize machine learning models for performance and scalability

• Mentor junior researchers and contribute to the development of the research team

Primary Qualifications:

• Doctoral degree in computer science or a related field

• Extensive knowledge and experience in computer perception, graphical models, reinforcement learning, and natural language processing

• Proficiency in benchmarking, parallel computing, distributed computing, machine learning, and artificial intelligence

• Strong analytical and problem-solving skills

• Excellent written and verbal communication skills for publishing and presenting research

Salary Information:

• Average salary: $100,000 (may vary based on experience and location)

AI/ML Big Data Engineer/Architect

Job Description: Big Data Engineers and Architects develop ecosystems that enable various business verticals and technologies to communicate effectively. This role involves planning, designing, and developing big data environments on Hadoop and Spark systems.

Roles and Responsibilities:

• Design, build, and maintain scalable big data architectures

• Develop and implement data processing workflows and pipelines

• Integrate big data solutions with existing data systems and business applications

• Optimize performance of big data systems and troubleshoot issues

• Collaborate with data scientists, analysts, and other stakeholders to understand data needs

• Ensure data quality, integrity, and security across big data platforms

• Stay updated with the latest big data technologies and best practices

• Provide technical leadership and mentorship to junior engineers

Primary Qualifications:

• Ph.D. in mathematics, computer science, or related fields (or equivalent hands-on experience)

• Proficiency in programming languages such as C++, Java, Python, or Scala

• Experience with Hadoop, Spark, and other big data technologies

• Strong skills in data mining, data visualization, and data migration

• Solid understanding of distributed computing principles

• Excellent problem-solving and analytical skills

• Strong communication skills for collaborating with cross-functional teams

Salary Information:

• Average salary: $181,300 (may vary across industries)

GenAI Software Engineer

Job Description: GenAI Software Engineers build and maintain software products for AI applications. They manage development tasks such as writing code, continuous integration, quality control, and API management, supporting the software needs of data scientists and architects. They also stay updated on new AI technologies.

Roles and Responsibilities:

• Develop and maintain AI software applications

• Write clean, efficient, and scalable code

• Implement continuous integration and deployment processes

• Ensure quality control through rigorous testing and debugging

• Manage and integrate APIs for AI solutions

• Collaborate with data scientists, architects, and other stakeholders to understand software requirements

• Stay informed about the latest advancements in AI technologies and tools

• Provide technical support and troubleshooting for AI software

Primary Qualifications:

• Bachelor’s degree in computer science, engineering, physics, mathematics, or statistics

• Proficiency in programming languages such as Python, Java, or C++

• Strong understanding of software engineering principles and AI technologies

• Skills in statistical and analytical methods

• Certifications in AI or data science (preferred)

• Excellent problem-solving abilities and attention to detail

• Strong communication skills for effective collaboration

Salary Information:

• Average salary: $108,000

• With specialization, experience, and industry factors, can rise to an average of $150,000