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AI/Machine Learning Engineer, Manager Consultant. Strong skills in languages beyond Python: R, JavaScript, Java, C. Bachelor's degree and 6-10 years of full-time working experience in AI, Data Science, and/or Machine Learning.
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A solid understanding of Machine Learning (ML) workflows including ingesting, analysing, transforming data and evaluating results to make meaningful predictions. Extensive experience using DevOps tools like GIT, Azure Devops and Agile tools such as Jira to develop and deploy analytical solutions with multiple features, pipelines, and releases.
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Knowledge and understanding of machine learning techniques and natural language processing (NLP). Proficient in programming languages (e.g., Python, R, Ruby, Java). Oversees the development of data delivery services to support critical operational processes, analytical models, and machine learning applications.
Full-timeRemoteExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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5+ years of experience in application development including Python, SQL, Scala, or Java. Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems.
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Use cutting edge technologies to develop modern data pipelines supporting Machine Learning and Artificial Intelligence. Collaborate with Data Scientists, Machine Learning Engineers, Business Analysts and/or Product Owners to understand their requirements and provide efficient solutions for data exploration, analysis, and modeling.
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Using programming languages like Java, Scala, Python. Be part of a group of engineers building data pipelines using big data technologies (Spark, Flink, Kafka, Snowflake, AWS Big Data Services, Snowflake, Redshift) on medium to large scale datasets.
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Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full-time positions with clients.
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Or software programming Spring boot, Microservices, Docker, Jenkins and REST API's experience Excellent written and verbal communication skills For data Science/Machine learning Positions. REQUIRED SKILLS For Java /Full stack/Software Programmer Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT Highly motivated, self-learner, and technically inquisitive Experience in programming language Java and understanding of the software development life cycle Project work on the skills Knowledge of Core Java , javascript , C.
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Java, cloud computing, Angular, React, Python, PIG Analytics, Pyspark, agile development, continuous integration/continuous delivery (CI/CD), containers and Docker, Kubernetes, Amazon Web Services (AWS), Linux (VMWare), ElasticSearch, Rust, micro services, Ansible, clusters, digital forensics, incident response, quantum, and so much more.
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Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Utilize programming languages like Java, Python, and SQL, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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Professional experience writing production-quality code using two of the following programming languages: Python, Node.js, Java, Scala, Golang, C. To be successful in this role you will be expected to design/ integrate systems, create cutting-edge solutions optimized for Amazon Web Services (AWS), provide hands-on Cloud analytics and Machine Learning consulting services to defense and intelligence customers in the federal government.
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The role also required to optimize existing machine learning jobs and other related processes. This role requires a seasoned developer having 6+ years of experience in Big Data, Java. The ideal candidate will be having sound knowledge of big data ecosystem esp.
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Utilize programming languages like Python, SQL, Node, Go, Java, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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FEATURED BLOG POSTS
A Potential TikTok Ban?!
As you may already know, there has been a lot of talk lately about the possibility of a TikTok ban. While this has not yet come to fruition, it's important to consider the implications this could have for businesses and recruiters who rely on TikTok as a platform to market their brand, recruit new talent, and connect with their audience.
The Effects of Workplace Racism and Sexism
One day it's a covert statement to a mother returning to work after maternity leave. Another day it's a lingering gaze at an employee enjoying a culturally rich meal. These microaggressions (or sometimes macroaggressions) can take an employee from a confident, high-performer to one that feels insecure being themselves at work. Your employees engage with people with different ideas and feel most comfortable and valued when they can work without losing their cultural, racial, and gender identity. While most employers know this, why have workplace racism and sexism often been neglected?
When Rage Applying Strikes: How to Identify Unserious Candidates
As the job market remains highly competitive, we have seen a surge in "rage applying." This is when candidates apply to multiple jobs, often without considering whether they are truly interested in the role. Rage applying goes hand-in-hand with quiet quitting. Often, employees want to entertain the thoughts and feelings of leaving their job, but they aren't necessarily serious about leaving yet. Meanwhile, other employees engaging in this trend are actually trying to find a better role. As a recruiter, it can be hard to identify who are the real applicants in a sea full of quiet quitters, but understanding rage applying and identifying red flags will certainly help.
How to Increase Job Ad Exposure
In today's competitive job market, writing quality job ads is critical for attracting top talent to your organization. While networking and candidate referrals are prime real estate for finding qualified candidates, nothing beats the tried-and-true method of writing an extraordinary job ad. But while writing a great job ad is the first step, what's more important is increasing visibility. You could have the most detailed, well-written ad on the internet, but if no one sees it, then you are wasting time (and potentially money!). Employers often believe that job boards are the root of the problem, but you can learn how to increase job ad exposure by tweaking a few steps of your recruitment process.
How to Navigate Hiring Out of State
The job market has shifted significantly in recent years. The accelerated adoption of technology has not only pushed many companies into remote working arrangements but also increased the availability of supporting tools and technologies (i.e., video conferencing and collaboration software).
Building a Candidate Pipeline Through Internships
Building a candidate pipeline through a great internship program for local college students and recent graduates at local universities is a great and cost-effective way to attract and retain top talent. By offering meaningful and impactful work experiences, regular feedback, coaching, and mentorship, you can create a positive internship experience that will make your organization a sought-after destination for future employees. This not only benefits the organization in the short-term but also in the long-term, as you'll have a pool of well-trained and experienced candidates who may be interested in full-time employment once they graduate. Furthermore, building relationships with local universities and college students can increase brand awareness and build a positive reputation for your organization in the local community.
Hiring Transparency
Transparency in hiring refers to the open and honest communication and information sharing that takes place between employers and job candidates. It encompasses all aspects of the hiring process, from posting job descriptions to providing feedback on performance during and after the interview process. In today's job market, hiring transparency has become increasingly important for both employers and candidates alike.