Business

How to Hire an MLOps Engineer for Your Company

Published

1 year ago

November 2, 2023

Freelancer

How to Hire an MLOps Engineer for Your Company

Learn key responsibilities of an MLOps engineer and why hiring one can optimize ML initiatives, improve accuracy, facilitate collaboration, and stay updated with emerging technologies here.

AI, particularly machine learning, is no longer vague imaginations or a piece of fiction but relatively commonplace around us. They have become vital components for companies seeking to gain a competitive edge.

However, building and maintaining efficient ML models has always been challenging. It requires continuously testing and validating the code, data, and models.

This is where MLOps engineers come to the rescue. These technical experts combine software engineering and data science skills to optimize machine learning models and streamline the entire model lifecycle.

In this article, we will get to know who an MLOps Engineer is and their key responsibilities. We’ll also discuss why you should hire an MLOps engineer for your company.

What Is an MLOps Engineer?

MLOps Engineers are tech professionals who specialize in the intersection of software engineering and data science. Their primary responsibility is to design and implement scalable and efficient machine learning systems. They bring expertise in automating model deployment and scaling, ensuring the accuracy and reliability of models, and managing model maintenance and updates.

MLOps engineers will work closely with data scientists and software engineers to streamline and optimize the entire machine learning lifecycle. From building a robust infrastructure to monitoring model performance, an MLOps Engineer plays a crucial role in optimizing machine learning processes within an organization.

Necessary Skills of an MLOps Engineer

With a deep understanding of both the software and data, they are uniquely equipped to bridge the gap between these two disciplines

Design and implement scalable machine learning systems

MLOps engineers build robust infrastructure and develop scalable frameworks that facilitate machine learning model deployment and management. They must collaborate with data scientists and software engineers to seamlessly integrate these models into operational pipelines.

Automate model deployment and scaling

What’s more, MLOps engineers automate the deployment process and make sure they can handle increased workloads effectively. They leverage tools and technologies to streamline the deployment pipeline, making it more efficient and adaptable to changing business requirements.

Achieve accuracy and reliability of models

These engineers play a crucial role in monitoring and evaluating the performance of machine learning models. They implement strategies to detect and mitigate issues so that models deliver accurate predictions and maintain high-reliability levels.

Manage model maintenance and updates

To remain effective, ML models must be maintained and updated frequently. MLOps engineers are in charge of these tasks and keep models up-to-date, secure, and aligned with evolving business needs. They’ll retrain models, incorporate new data, and manage version control.

Collaborate with cross-functional teams

MLOps engineers can’t handle their job independently. They must collaborate with data scientists, software engineers, and other stakeholders to streamline the machine learning lifecycle. This effective communication and collaboration allow all teams to align on goals and help them meet the requirements and timelines.

Implement best practices and technologies

As an MLOps engineer, staying updated with emerging tools, technologies, and best practices in the industry is indispensable. They apply this knowledge to optimize the ML processes, leveraging advancements to improve efficiency and scalability.

Why Hire an MLOp Engineer?

Getting support from MLOps engineers brings numerous benefits to organizations. They enable organizations to harness the complete machine learning potential effectively.

Optimize Machine Learning Models

MLOps engineers possess the expertise and knowledge to fine-tune machine learning models effectively. These people understand the intricacies of different algorithms, hyperparameter tuning techniques, and optimization strategies. Their skills contribute to enhancing model performance, improving accuracy, and minimizing resource consumption, ultimately driving better business outcomes.

Automate Model Deployment and Scaling

As organizations scale their machine learning initiatives, deploying and managing multiple models becomes complex.

MLOps engineers prove to be lifesavers in this case. They specialize in automating the model deployment pipeline to roll out models seamlessly and efficiently.

They develop infrastructure, implement containerization techniques, and utilize orchestration tools to automate the end-to-end deployment and scaling processes, saving time and reducing potential errors.

Improve Accuracy and Reliability

MLOps engineers are intended to monitor and improve the accuracy and reliability of machine learning models.

These people implement robust monitoring mechanisms to track model performance, detect anomalies, and alert stakeholders when models deviate from expected behavior.

Proactively identifying and resolving issues ensures that models consistently deliver reliable and trustworthy insights.

Manage Maintenance and Updates

Machine learning models are not static entities. They require continuous monitoring, maintenance, and upgrades.

That’s where MLOps engineers come into play to manage the entire model lifecycle and ensure that models remain relevant, up-to-date, and aligned with evolving business needs.

They need to retrain models on new data, incorporate feedback loops, and manage version control, thus maximizing the longevity and effectiveness of machine learning solutions.

Facilitate Collaboration Between Teams

As mentioned, MLOps engineers act as vital connectors between data scientists, software engineers, and other stakeholders involved in the machine learning process. They understand both domains’ technical requirements and constraints and facilitate effective collaboration.

MLOps Engineers help align goals and streamline processes by bridging the gap between different teams and ensuring clear communication.

Ensure Compliance and Security

With the increasing importance of data privacy and security, MLOps staff aim to ensure compliance with relevant regulations and deployment of secure machine learning solutions.

Sensitive data will be protected with certain access controls. As a result, organizations can ensure adherence to industry-specific regulations such as GDPR or HIPAA. Addressing these concerns allows MLOps engineers to build trust and maintain ethical practices within the organization.

Stay Abreast of Emerging Technologies

MLOps engineers must update their knowledge and skills to keep pace with rapid advancements in the machine learning field. They remain informed about emerging technologies, frameworks, and tools that can enhance machine learning deployment and management.

It’s evident that these advancements will bring innovative solutions to the table, letting organizations stay competitive in the fast-changing landscape of AI and machine learning.

Ready to Level Up Your Machine Learning Project?

Hiring an MLOps engineer can significantly enhance your company’s machine learning capabilities. By optimizing models, automating deployment, improving accuracy, and managing maintenance, they contribute to maximizing the value of your organization’s data assets.

It’s time to unlock the true potential of your machine learning initiatives, embrace the power of MLOps, and propel your company toward data-driven success.

Business

PepsiCo Reduces Revenue Projections As North American Snacks And Key International Markets Underperform.

Published

1 month ago

October 8, 2024

Salman

(VOR News) – In the third quarter of this year, Pepsi’s net income was $2.93 billion, which is equivalent to $2.13 per share. This was attributed to the company.

This is in stark contrast to net income of $3.09 billion, which is equivalent to $2.24 per share, during the same period in the previous year. The company’s earnings per share were $2.31 when expenses were excluded.

Net sales decreased by 0.6%, totaling $23.32 billion. Organic sales increased by 1.3% during the quarter when the effects of acquisitions, divestitures, and currency changes are excluded.

Pepsi’s beverage sales fell this quarter.

The most recent report indicates that the beverage and food sectors of the organization experienced a 2% decline in volume. Consumers of all income levels are demonstrating a change in their purchasing habits, as indicated by CEOs’ statements from the previous quarter.

Pepsi’s entire volume was adversely affected by the lackluster demand they encountered in North America. An increasing number of Americans are becoming more frugal, reducing the number of snacks they ingest, and reducing the number of times they purchase at convenience stores.

Furthermore, Laguarta observed that the increase in sales was partially attributed to the election that occurred in Mexico during the month of June.

The most significant decrease in volume was experienced by Quaker Foods North America, which was 13%. In December, the company announced its initial recall in response to a potential salmonella infection.

Due to the probability of an illness, the recall was extended in January. Pepsi officially closed a plant that was implicated in the recalls in June, despite the fact that manufacturing had already been halted.

Jamie Caulfield, the Chief Financial Officer of Pepsi and Laguarta, has indicated that the recalls are beginning to have a lessening effect.

Frito-Lay experienced a 1.5% decline in volume in North America. The company has been striving to improve the value it offers to consumers and the accessibility of its snack line, which includes SunChips, Cheetos, and Stacy’s pita chips, in the retail establishments where it is sold.

Despite the fact that the category as a whole has slowed down in comparison to the results of previous years, the level of activity within the division is progressively increasing.

Pepsi executives issued a statement in which they stated that “Salty and savory snacks have underperformed year-to-date after outperforming packaged food categories in previous years.”

Pepsi will spend more on Doritos and Tostitos in the fall and winter before football season.

The company is currently promoting incentive packets for Tostitos and Ruffles, which contain twenty percent more chips than the standard package.

Pepsi is expanding its product line in order to more effectively target individuals who are health-conscious. The business announced its intention to acquire Siete Foods for a total of $1.2 billion approximately one week ago. The restaurant serves Mexican-American cuisine, which is typically modified to meet the dietary needs of a diverse clientele.

The beverage segment of Pepsi in North America experienced a three percent decrease in volume. Despite the fact that the demand for energy drinks, such as Pepsi’s Rockstar, has decreased as a result of consumers visiting convenience stores, the sales of well-known brands such as Gatorade and Pepsi have seen an increase throughout the quarter.

Laguarta expressed his opinion to the analysts during the company’s conference call, asserting, “I am of the opinion that it is a component of the economic cycle that we are currently experiencing, and that it will reverse itself in the future, once consumers feel better.”

Additionally, it has been noted that the food and beverage markets of South Asia, the Middle East, Latin America, and Africa have experienced a decline in sales volume. The company cut its forecast for organic revenue for the entire year on Tuesday due to the business’s second consecutive quarter of lower-than-anticipated sales.

The company’s performance during the quarter was adversely affected by the Quaker Foods North America recalls, the decrease in demand in the United States, and the interruptions that occurred in specific international markets, as per the statements made by Chief Executive Officer Ramon Laguarta.

Pepsi has revised its forecast for organic sales in 2024, shifting from a 4% growth rate to a low single-digit growth rate. The company reiterated its expectation that the core constant currency profitability per share will increase by a minimum of 8% in comparison to the previous year.

The company’s shares declined by less than one percent during premarket trading. The following discrepancies between the company’s report and the projections of Wall Street were identified by LSEG in a survey of analysts:

SOURCE: CNBC

Business

Old National Bank And Infosys Broaden Their Strategic Partnership.

Published

1 month ago

October 8, 2024

Salman

(VOR News) – Old National Bank, a commercial bank with its headquarters in the Midwest, and Infosys, a firm that specializes in information technology, have recently entered into a strategic expansion of their link, which has been in place for the past four years.

This expansion is more likely to take place sooner rather than later, with the likelihood being higher.

For the purpose of making it possible for Old National Bank to make use of the services, solutions, and platforms that are offered by Infosys, the objective of this expansion is to make it possible for the bank to transform its operations and processes through the application of automation and GenAI, as well as to change significant business areas.

This lets the bank leverage Infosys’ services, solutions, and platforms.

Old National Bank Chairman and CEO Jim Ryan said, “At Old National, we are committed to creating exceptional experiences for both our customers and our fellow employees.”

This statement is applicable to Old National Bank. Infosys is carefully managing the business process innovations that it is putting us through, putting a strong emphasis on efficiency and value growth throughout the process to ensure that it is carried out efficiently.

This is a routine occurrence throughout the entire operation. Because of Infosys’ dedication to our development and success, we are incredibly appreciative of the assistance they have provided.

Old National has been receiving assistance from Infosys in the process of updating its digital environment since the year 2020, according to the aforementioned company.

Ever since that time, the company has been providing assistance. The provision of this assistance has been accomplished through the utilization of a model that is not only powerful but also capable of functioning on its own power.

Infosys currently ranks Old National thirty-first out of the top thirty US banks.

This ranking is based on the fact that Old National is the nation’s largest banking corporation.

It is estimated that the total value of the company’s assets is approximately fifty-three billion dollars, while the assets that are currently being managed by the organization are valued at thirty billion dollars.

Dennis Gada, the Executive Vice President and Global Head of Banking and Financial Services, stated that “Old National Bank and Infosys possess a robust cultural and strategic alignment in the development, management, and enhancement of enterprise-scale solutions to transform the bank’s operations and facilitate growth.”

This remark referenced the exceptional cultural and strategic synergy between the two organizations. Dennis Gada is the one who asserted this claim. This was articulated explicitly concerning the exceptional cultural congruence and strategy alignment of the two organizations.

We are pleased to announce that the implementation of Infosys Topaz will substantially expedite the transformation of Old National Bank’s business processes and customer service protocols. We are exceedingly enthusiastic about this matter. We are quite thrilled about this specific component of the scenario.

Medium-sized banks operating regionally will continue to benefit from our substantial expertise in the sector, technology, and operations. This specific market segment of Infosys will persist in benefiting from our extensive experience. This phenomenon will enable this market sector to sustain substantial growth and efficiency benefits.

SOURCE: THBL

Business

American Water, The Largest Water Utility In US, Is Targeted By A Cyberattack

Published

1 month ago

October 8, 2024

kiaragrace

The largest regulated water and wastewater utility company in the United States stated Monday that it had been the target of a cyberattack, forcing the company to halt invoicing to consumers.

American Water, The Largest Water Utility In US, Is Targeted By A Cyberattack

American Water, based in New Jersey and serving over 14 million people in 14 states and 18 military facilities, said it learned of the unauthorized activity on Thursday and quickly took precautions, including shutting down certain systems. The business does not believe the attack had an impact on its facilities or operations and said employees were working “around the clock” to determine the origin and scale of the attack.

water

The corporation stated that it has alerted legal enforcement and is cooperating with them. It also stated that consumers will not be charged late fees while its systems are unavailable.

According to their website, American Water operates over 500 water and wastewater systems in around 1,700 communities across California, Georgia, Hawaii, Illinois, Indiana, Iowa, Kentucky, Maryland, Missouri, New Jersey, Pennsylvania, Tennessee, Virginia, and West Virginia.

SOURCE | AP