After gaining Python and Machine Learning knowledge, it's time to practice. And for that, you need to use Data Science tools like Jupyter and Anaconda. Spend your few hours and play with these tools. Understand what they're for and why you should use them.

Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

In the last few years, Machine learning has matured from a vision to reality. We are already living in a world where technology is smart enough to predict outcomes and advanced enough to bring ideas into life. Over one-third of Indian companies have either started or are planning to invest in machine learning technology to automate and optimize their current business processes. It is expected that by the end of 2022, AI will create a business value of approximately $4billion. Seeing this whopping growth in demand for ML technology, the job prospects of machine learning engineers have increased by 330% worldwide in just 3 years (2015-2018).

Responsibilities: • Invent and build solutions to real-world customer problems through close collaborations with design, research and engineering teams • Ability to quickly change and iterate based on the team's needs • Multi-task and change from one task to another without loss of efficiency or composure Skills: • Bachelor's in Computer Science, Electrical Engineering, Statistics or related field • Ability to run experiments and analyze results scientifically • Must have working experience and be expert in building AI Models • Solid understanding in algorithms and data structure • A breadth of technical skills and know how to use the right tool for the job • Have a passion for solving very difficult technology challenges and learning new technologies and domains • Ability to work independently and multi-task effectively • Ability to understand business requirements and translate them into technical requirements • Flexible and willing to accept a change in priorities as necessary • Strong attention to detail • Experience working in a collaborative environment with designers and researchers Desired Skills & Experience: • Experience in data analysis is a plus • Good understanding of ML application design principles • Experienced in exploring a new field

The successful candidate will be continuing development of physiological sensor data based sleep and relaxation staging algorithms (across a variety of products) as well as looking for data insights around audio content usage.

We've built a state-of-the-art programmatic advertising platform that addresses the challenges and concerns of digital advertisers and marketers: the ability to transparently buy mobile audiences withWe've built a state-of-the-art programmatic advertising platform that addresses the challenges and concerns of digital advertisers and marketers: the ability to transparently buy mobile audiences with complete trust. Our platform enables agencies and brands to access global consumers on the highest quality ad inventory at massive scale and capture their attention using strong and engaging ad formats that drive performance and brand metrics.The mobile video advertising space is exploding as consumers spend more time on mobile devices and shift their attention away from tradition media placements such as TV. Advertisers need a programmatic buying platform that solves the challenges with video at scale, with transparency.

An awesome company in the Loop thriving in a cutting-edge industry is hiring a Data Scientist with strong statistics and programming experience to work on their connected car platform. You would not only get valuable industry experience, but would be working with modern technology with Python, Machine Learning, AWS, and Spark. The ability to work on the full analytical lifecycle is desired, and a passion to do so is a MUST. The company has a laid-back culture with work flexibility. You would also be working alongside passionate engineers with similar backgrounds.

So you know, this isn't the only job like this we're working on. We'll review your resume for every relevant job that comes in!

Are you passionate about what machine learning can bring in the future? Do you want to join a well-funded startup with some of the leading minds in the field? Do you want to work with a small close knit team comprised of engineers from companies like Google, Amazon, and LinkedIn? Do you want to have a huge impact on the product? If so, then this startup in the heart of Palo Alto is the place for you.

Artificial intelligence platform startup that seeks to automate the notification and messaging process to personalize consumer experience is seeking a Machine Learning Engineer. The Machine Learning Engineer will develop the recommendation models and systems behind this AI platform. Benefits include competitive compensation package, equity, bonus, full benefits, paid time-off, and a great team work environment with company outings and collaborative work culture. This startup has received close to 20M in funding, and this is a ground floor opportunity to apply industry data science experience and develop something from scratch. You will be able to see your impact on the core product!