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ML Engineer at Cognizant in Plano, Texas

Posted in Information Technology 30+ days ago.

Type: Full-Time





Job Description:

Title: ML Engineer

Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.). Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500 and we are among the top performing and fastest growing companies in the world.

*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*

Practice - AIA - Artificial Intelligence and Analytics

About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.

By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. Cognizant’s AIA practice takes insights that are buried in data, and provides businesses a clear way to transform how they source, interpret and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.

Responsibilities:


  • Work with Google cloud platform

  • Building & Deploying models within GCP and exposure to Vertex AI

  • Use DevOps for building and leveraging CI/CD pipelines across various GCP Services including Vertex AI.

  • Perform predictive modeling, machine learning, statistical modeling, large scale data acquisition, transformation, and cleaning, both structured and unstructured data.

  • Showcase experience with Git and modern software development lifecycle

  • Heavy data wrangling, visualization and modeling in Python

  • Work on modeling techniques such as gradient boosting, support vector machine, topic modeling, word embedding, transformers, CNN, LSTM, time-series analysis, NLP, Clustering etc.

  • Write efficient and highly skilled in SQL querying. Very good querying skills for feature creation.

Skills:


  • Resource with at least 3+ years of experience in applying data science techniques.

  • Experience in machine learning frameworks and tools (e.g. scikit-learn, mlr, caret, H2O, TensorFlow, MXNet, PyTorch, CNTK, MLlib) is required.

  • Exposure to AWS is an added advantage.

  • Automotive Domain Experience is a plus.

 

Cognizant is an Equal Opportunity Employer M/F/D/V. Cognizant is committed to ensuring that all current and prospective associates are afforded equal opportunities and treatment and a work environment free of harassment.

Cognizant is recognized as a Military Friendly Employer and is a coalition member of the Veteran Jobs Mission. Our Cognizant Veterans Network assists Veterans in building and growing a career at Cognizant that allows them to leverage the leadership, loyalty, integrity, and commitment to excellence instilled in them through participation in military service.

#LI-AV1 #CB

Technical Skills




















SNo Primary Skill Proficiency Level * Rqrd./Dsrd.
1 Azure/AWS/GCP Cogn Services Ad PL1 Desired
2 AI - Automated Inisghts PL4 Required

 

Domain Skills














SNo Primary Skill Proficiency Level * Rqrd./Dsrd.
1 Telematic Services NA Required

 

* Proficiency Legends






















Proficiency Level Generic Reference
PL1 The associate has basic awareness and comprehension of the skill and is in the process of acquiring this skill through various channels.
PL2 The associate possesses working knowledge of the skill, and can actively and independently apply this skill in engagements and projects.
PL3 The associate has comprehensive, in-depth and specialized knowledge of the skill. She / he has extensively demonstrated successful application of the skill in engagements or projects.
PL4 The associate can function as a subject matter expert for this skill. The associate is capable of analyzing, evaluating and synthesizing solutions using the skill.





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