Machine Learning Engineer

Machine Learning Engineer

Kairos Technologies Private Limited

Job Description

Position: ML Engineer
Exp: 4+ Years
Work Location: Hyderabad/Visakhapatnam
Fulltime
Job Requirements:
We are looking for a Machine Learning Engineer to build and deploy Machine Learning models to augment our client applications.
MUST HAVES
4+ years of experience in a machine learning environment: You can Define, Prototype, Develop, Deploy, and Monitor ML Models
4+ yrs of experience in software engineering, building and maintaining APIs and production level systems.
Professional command of Python (Numpy, Pandas, Scikit-learn, NLTK, SPACY)
Good understanding on building efficient training datasets and optimizing them.
Experience or passion to build NLP, Recommendation systems.
Strong analytical skills
AWS Knowledge is must
AWS Sagemaker, Google Colab, etc.. knowledge.
Beneficial Skills
Background in Mathematics, Statistics
Basic understanding of machine learning approaches such as supervised learning, unsupervised learning and reinforcement learning.
Experience with big-data technologies such as Hadoop, Spark, SparkML, etc. is a plus
Familiarity with basic data table operations (SQL, Hive, etc.)
Additional Skills:
Thirst for knowledge and a desire to continue learning.
Thrive in a collaborative environment.
Should care deeply about the quality and aesthetics of code you produce, and always strive to be better.
Work closely on a cross functional team including other developers, designers, Project Managers, QA, etc
Participate in Agile/SCRUM SDLC
If Interested, Kindly drop your CV to [Confidential Information]

Job Details

Employment Types:

Industry:

Function:

IT

About Us:
Our mission is to accelerate your journey to the digital marketplace.
From ancient Greek literature, Kairos signifies the right moment for making a decision.

Company
Kairos Technologies is a customer-first technology services company focused on Digital Transformation and Testing/QA. We are founded to help you build world-class solutions and digital ecosystems. From our inception in 2003, we have provided managed services in embracing the digital transformation for various companies operating in different verticals. We strive to provide the technology services that make your business goals an economic reality.

We formalized a few principles at our foundation. Our people, business, and delivery methodologies are structured around them.

Customers = Family.
Customer experience = Success.
Communication = Oxygen.
Continuous learning = Culture.
Colloboration = Productivity.
Corporate Social Responsibility = Ethos.

Our employees get free hands to experiment, personalized career advice, training, direct contact with the clients, industry-leading packages, periodic cultural events, and most importantly, good food!

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