Artificial Intelligence

Top 10 AI and Data Science Jobs in August 2024

Top 10 AI and Data Science Jobs to Watch in August 2024

Aayushi Jain

The demand for AI and data science professionals is ever-increasingly surging as companies strive to wield the power of data-driven insights and advanced technologies. Here are the top 10 AI and data science jobs available this August 2024, with detailed job descriptions, required skills, locations, and application links.

Top 10 AI Jobs in August 2024

Our top 10 AI jobs list includes:

1. Machine Learning Engineer at Google

Google is seeking a Machine Learning Engineer to construct and field machine learning models. Applicants will need experience in Python, TensorFlow, and cloud platforms, with strong analytical skills. A background in Computer Science or another related field will be a plus.

Location: Mountain View, CA

Apply here: Google Careers

2. Associate General Counsel, AI Research at OpenAI 

OpenAI is opening an AI Research Scientist position to work on high-impact projects in cutting-edge AI research. The candidate should have experience working in deep learning, reinforcement learning, and natural language processing. Preference for 15 years of experience as a lawyer, with significant experience in fields such as copyright, privacy, consumer safety, regulatory, product, and/or commercial counseling.

Location: San Francisco, CA

Apply here: OpenAI Careers

3. Language Engineer, Artificial General Intelligence at Amazon

Amazon is seeking an NLP Engineer who can develop and improve systems related to natural language processing. Required technical expertise: Python, PyTorch, and familiarity with Natural Language Processing techniques. Experience in large language models and cloud services desired.

Location: USA, MA, Boston

Apply here: Amazon Jobs

4. Software Engineer, Generalist, AI Inference at Tesla

Tesla is seeking a Computer Vision Engineer responsible for improving autonomous driving capabilities. Requirements include experience in computer vision, deep learning, Python, C++, and machine learning frameworks, autonomy systems experience is preferred.

Location: Palo Alto, CA

Apply here: Tesla Careers

5. Principal AI Product Manager at Microsoft

Microsoft is seeking an AI Product Manager to oversee the development of AI products. This calls for experience in either AI, project management, or product development. Such a candidate should be able to communicate and lead appropriately.

Location: Atlanta, Georgia, United States

Apply here: Microsoft Careers

6. Senior Mechanical Engineer at Boston Dynamics

Boston Dynamics is seeking a Mechanical Engineer to work on advanced robotics and humanoid projects. Experience in BSME of 5+ years or MSME with 3+ years of experience. Experience in robotics, machine learning, and Python is required. Advanced CAD user, including FEA and topology optimization. Knowledge of ROS and experience with embedded systems are nice to have.

Location: Waltham, MA

Apply here: Boston Dynamics Careers

7. AI Solutions Architect at IBM

IBM is looking for an AI Solutions Architect who designs and implements artificial intelligence solutions to solve business problems for clients. Required skills: AI, Cloud Computing, Software Engineering. Other requirements: strong problem-solving ability, and client management.

Location: Bangalore, IN

Apply here: IBM Careers

8. Production Systems Engineer, Fleet AI Systems at Facebook (Meta)

Facebook is seeking a Production Systems Engineer who will interpret results from large datasets to come up with predictive models. The candidate should have skills in Python, and R, and experience in Machine learning. Those with big data technologies will have an added advantage.

Location: Menlo Park, CA

Apply here: Meta Careers

9. Windows AI Software Engineer at Nvidia

Nvidia is looking for a Windows AI Software Engineer in the development of AI software solutions. Basic requirements are familiarity with Python, C++, and deep learning frameworks like TF or PyTorch. Prior experience with GPU computing is advantageous.

Location: Santa Clara, CA

Apply here: Nvidia Careers

10. Software Engineer, Siri & Information Intelligence at Apple

Apple is looking for a Software Engineer, Siri & Information Intelligence, to develop innovative AI applications using Apple platforms. Bachelors in Computer Science, experience with machine learning, C++, Python, and Swift is a must. Strong analytical and problem-solving skills are required.

Location: Cupertino, CA

Apply here: Apple Careers

Top 10 Data Science Jobs

1. Data Scientist at Etsy

Etsy is looking for a Data Scientist to analyze user data and provide insights. Knowledge of Python, SQL, and machine learning. Other required skills are A/B testing experience and statistical analysis.

Location: Sunnyvale, CA

Apply here: LinkedIn Careers

2. Data Scientist, Games Discovery and Research at Netflix

Netflix is seeking a Data Scientist to interpret data to support decisions. Required are skills in Python, SQL, and data visualization tools. Added advantages include experience handling large datasets and statistical modeling.

Location: Los Gatos, CA

Apply here: Netflix Jobs

3. Senior Data Engineer at Spotify

Spotify is seeking a Senior Data Engineer to develop and maintain the data pipelines. Required experience includes Python, SQL, and big data technologies such as Hadoop and Spark. Experience with cloud platforms is preferred also.

Location: Stockholm

Apply here: Spotify Jobs 

4. Senior Data Scientist at Airbnb

Airbnb is seeking a Senior Data Scientist who will analyze data and come up with predictive models. 5 years of Experience in NLP, Python, R, and machine learning is required. Data mining and experience in big data technologies are a plus.

Location: US, Remote Eligible

Apply here: Airbnb Careers

5. Senior Scientist, Mobility Matching at Uber

Uber is seeking a Senior Scientist with Mobility Matching with data report and dashboard creation experience. Technical competencies required are SQL, Python, Spark, and data visualization tools such as Tableau. ETL processes are also very useful.

Location: Sunnyvale, California, San Francisco, California, Seattle, Washington New York

Apply here: Uber Careers

6. Full Stack Data Scientist at X

X is seeking a Full Stack Data Scientist to develop data infrastructure. The incumbent should possess strong skills in Python, SQL, and big data technologies such as Hadoop and Spark. Experience with cloud platforms would be an add-on.

Location: San Francisco, CA

Apply here: X Careers

7. Data Scientist Senior/Lead at Salesforce

Salesforce seeks a Data Scientist Senior/Lead to interpret data and back business decisions. Required skills include SQL, Python, and Data Visualization Tools, experience with CRM systems is advantageous.

Location: San Francisco, CA

Apply here: Salesforce Careers

8. Machine Learning Engineer at Pinterest

Pinterest is looking for a Machine Learning Engineer to develop machine learning models. Skills in Python, TensorFlow, and data science techniques are required. Big data processing experience is an added advantage.

Location: San Francisco, CA

Apply here: Pinterest Careers

9. Data Scientist at Adobe

Adobe is looking for a Data Scientist to conduct data analysis and develop predictive models. The candidate should have proficiency in Python, R, and machine learning. Big data technologies and statistical analysis experiences are desirable.

Location: San Jose, CA

Apply here: Adobe Careers

10. Solutions Engineer-Google Enterprise

Cisco is seeking a pre-sales Solutions Engineer who will work on designing and maintaining data systems. Requirements include Python, SQL, and big data technologies like Hadoop and Spark. Also, previous experience working with cloud platforms will be advantageous.

Location: San Jose, CA

Apply here: Cisco Careers

Essential Skills and Tips to Get an AI or Data Science Job in 2024

A decent candidate should be empowered with a robust skill set and a few strategies at the core of this competitive field to get an AI or Data Science job in 2024. Here are a few central skills and suggestions for a head start:

1. Technical Knowledge

One must know programming languages in 2024 such as Python, R, and SQL to land a job in AI or Data Science. Of these, Python forms the backbone of AI and Data Science because of the comprehensive libraries and frameworks available for the same. Knowledge of big data technologies like Hadoop and Spark, and cloud platforms like AWS and Azure, is also provided.

2. Machine Learning and Deep Learning

In this information age, acquaintance with machine learning algorithms and deep learning techniques is quite indispensable. This includes supervised and unsupervised learning, neural networks, and natural language processing. Practical experience in these methodologies could be reflected through projects or internships.

3. Data Analysis and Visualization

The professional must be able to analyze data and express it through relevant visualization. The ability to use Tableau, Power BI, Matplotlib, or Python for data analysis will assist in presenting insights from data. This analytical competence should be combined with the capacity to interpret complex data sets.

4. Domain Knowledge

Knowing the industry to which you are applying may turn out to be a plus. Knowing problems within that sector and how AI and data science can help in solving them is an added advantage as a job applicant.

5. Continuous Learning

AI and Data Science are some of the most rapidly changing fields today. Keeping oneself updated on the latest trends and technologies through online courses, webinars, and industry publications becomes very important. Certifications from reputed platforms like Coursera, edX, or Udemy may also be helpful in this respect.

6. Networking and Portfolio

The difference can be made by a good professional network and the visibility of work through a good portfolio or a GitHub repository for data science. Attend relevant forums, conferences, and meetups to network with people in your industry.

By following these tips, along with developing the above skills, candidates can get better prospects of receiving a fulfilling AI or data science job in August 2024.

Conclusion

August 2024 is offering the job market in AI and data science, fully on fire with activity, directly from the leading technology companies. These roles include a mix of technical skills, analytical thinking, and sometimes domain-specific knowledge. Be it an experienced professional or a fresh graduate, these positions open up exciting opportunities, furthering your career in AI and data science.

FAQs

1: What kind of qualifications are required to secure jobs in AI and Data Science?

One can certainly work in AI and Data Science if one has an excellent background in computer science, mathematics, or statistics. For the most part, it includes proficiency in at least one programming language, preferably Python or R, and experience in machine learning and data analysis. Advanced degrees may be favored for research positions.

2: What are the key skills required in a Machine Learning Engineer?

The Machine Learning Engineer should be skilled in Python, TensorFlow, and PyTorch. It requires expertise in machine learning algorithms, data processing, model deployment, good statistics knowledge, familiarity with data visualization tools, etc.

3: How does one better one's chances of getting hired for a Data Scientist role?

The way to good job prospects lies through a strong portfolio of relevant projects, and hands-on work experience by interning and acquiring certifications from Coursera or edX. Networking and attending conferences related to the industry also help.

4: Am I able to find remote opportunities in AI and Data Science jobs?

Yes, many companies offer remote or hybrid work options for AI and Data Science. Most of the roles in tech giants such as Google, Amazon, and Microsoft include remote work flexibility, especially in the case of experienced professionals.

5: Within which industries are AI and Data Science roles found?

AI and Data Science roles are most in demand in these sectors: technology, finance, healthcare, retail, and the automotive sector. Businesses in these industries must enhance their capabilities with the power of data insights and AI to create innovation and optimize their operations.

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