eClerx Mega off campus Drive 2023 For Technology Services – Senior Analyst – Machine Learning Consultant. Bachelor’s Degree can apply.
Table of Contents
eClerx Mega off campus Drive – Overview
- Company – eClerx
- Role – Technology Services – Senior Analyst – Machine Learning Consultant
- Qualification – Bachelor’s Degree
- Experience – 2-4 years
- Location – Chandigarh
- Salary – 4 LPA – 5 LPA
ABOUT eClerx COMPANY
eClerx, founded in 2000, is a global business process management and analytics company headquartered in Mumbai, India. The company is a prominent player in the knowledge process outsourcing (KPO) and business process outsourcing (BPO) sectors, offering a wide range of services to clients in various industries, including finance, healthcare, retail, and technology. eClerx is known for its commitment to delivering data-driven solutions and business insights to help organizations improve efficiency and make informed decisions.
One of eClerx’s core offerings is data analytics and data management services. The company assists clients in collecting, processing, and analyzing large volumes of data to extract meaningful insights and enhance decision-making. eClerx also provides support in areas such as operations management, quality assurance, and content development, offering a comprehensive suite of services to meet diverse business needs.
eClerx’s success is attributed to its dedication to technology and innovation. The company actively invests in emerging technologies and digital solutions, enabling clients to stay competitive in the rapidly evolving business landscape. eClerx’s team of skilled professionals, combined with its analytical capabilities and technological expertise, positions the company as a valuable partner for businesses looking to harness the power of data and analytics.
With a global presence and a client-centric approach, eClerx continues to thrive in the competitive business process management and analytics sector. The company’s mission is to drive business transformation and deliver insights that create value for clients while maintaining a strong commitment to data security, quality, and compliance.
eClerx Mega off campus Drive – Roles & Responsibilities For Technology Services – Senior Analyst – Machine Learning Consultant
- Responsible for machine learning technology and application analysis, understand latest industrial and academic developments in AI / ML
- Study and innovate in deep learning / machine learning and its application in diverse domains
- Design competitive AI / ML services and user experience and create prototypes for demonstration
- Work with the rest of the Operations team to integrate these algorithms into larger solutions
- Work with development teams to mature these algorithms
- Designing and implementing machine learning models to solve complex business problems.
- Conducting data analysis and feature engineering for model development.
- Collaborating with cross-functional teams to gather data and requirements.
- Developing and maintaining data pipelines for model training and deployment.
- Evaluating model performance and making necessary improvements.
- Ensuring data privacy and compliance with regulatory standards.
- Presenting findings and recommendations to clients and stakeholders.
- Keeping up-to-date with the latest machine learning and AI advancements.
- Providing technical leadership and guidance to junior team members.
- Contributing to the development and enhancement of machine learning frameworks and tools.
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eClerx Mega off campus Drive – Skills Required For Technology Services – Senior Analyst – Machine Learning Consultant
- Proven knowledge in deep learning algorithms and AI system design and architecture
- Excellent understanding of complex system architecture, components and requirements
- Advanced level proficiency in Python programming especially in conceptual understanding of relational databases and hands-on comfort working within a Linux computing environment, and use of numerical/analytical computing using Numpy, Scipy, and Pandas
- Relevant experience for the area of Knowledge Representation and Reasoning (KRR) and related information integration; propositional logic, first-order logic, and constraint satisfaction methods; methods for uncertainty in combination with logical methods (e.g., Bayesian, probabilistic soft logic); combination of the foregoing with natural language and combination of the foregoing with machine learning
- Expertise in machine learning algorithms and deep learning frameworks.
- Proficiency in data analysis, feature engineering, and data preprocessing.
- Strong programming skills in languages like Python and R.
- Data modeling and statistical analysis capabilities.
- Experience with data visualization tools and techniques.
- Knowledge of big data technologies, such as Hadoop and Spark.
- Cloud computing and deployment skills, like AWS or Azure.
- Effective communication and client interaction skills.
- Problem-solving and critical thinking for complex business challenges.
- Continuous learning and adaptation to evolving machine learning trends.
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HOW TO APPLY FOR eClerx Mega off campus Drive 2023 ?
To apply for the eClerx Mega off campus Drive – interested candidates must follow the procedure outlined below:
- Click on the “Apply here” button provided below. You will be redirected to company official career page.
- Click on “Apply Online”.
- If you have not registered before, create an account.
- After registration, login and fill in the application form with all the necessary details.
- Submit all relevant documents, if requested (e.g. resume, mark sheet, ID proof).
- Provide accurate information in your application.
- Verify that all the details entered are correct.
- Submit the application process after verification.
INTERESTED CANDIDATES CAN APPLY THROUGH THE BELOW LINK
Technology Services – Senior Analyst – Machine Learning Consultant Role – Chandigarh
eClerx Mega off campus Drive 2023 – Frequently Asked Question?
What is the eClerx Mega off campus Drive 2023 selection process?
The selection process will be based on a Written test followed by Technical and HR interviews.
What is the average salary for the post?
The average salary is 4 LPA – 5 LPA for the this role.
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DISCLAIMER:
The Recruitment Information Provided above is for Informational Purposes only . The above Recruitment Information has been taken from the official site of the Organization. We do not provide any Recruitment guarantee. Recruitment is to be done as per the official recruitment process of the company. We don’t charge any fee for providing this job Information.
