11+ Mean-shift Jobs in Bangalore (Bengaluru) | Mean-shift Job openings in Bangalore (Bengaluru)

• Strong Software Development & DSA Profile
• Mandatory (Experience): Must have 2+ YOE in Software Development (preferably in product-based companies)
• Mandatory (Skills 1): Must have proficiency in programming languages such as C++, Java, or Python
• Mandatory (Skills 2): Must have strong expertise in scalable systems and applied DSA in practice
• Mandatory (Skills 3): Must have strong understanding of System Design (liek HLD, LLD, microservices, caching, database scaling)

Tele sales Executive (BL,PL,Credit card,LAP )

Location: Whitefield, Bangalore

Age Limit: 19 – 30 years

Salary: ₹21000 – ₹28,000 (based on interview) + Incentives

Education: 12th Pass & Above (No Technical background Required)

CIBIL score required above 600 above (mandatory)

Job Timing: 9:30 AM – 7:30 PM (Rotational Shift)

Language-Hindi and English Fluent Mandatory

Job Description:

Role: Data Scientist

Responsibilities:

 Lead data science and machine learning projects, contributing to model development, optimization and evaluation. 

 Perform data cleaning, feature engineering, and exploratory data analysis.  

Translate business requirements into technical solutions, document and communicate project progress, manage non-technical stakeholders.

Collaborate with other DS and engineers to deliver projects.

Technical Skills – Must have:

Experience in and understanding of the natural language processing (NLP) and large language model (LLM) landscape.

Proficiency with Python for data analysis, supervised & unsupervised learning ML tasks.

Ability to translate complex machine learning problem statements into specific deliverables and requirements.

Should have worked with major cloud platforms such as AWS, Azure or GCP.

Working knowledge of SQL and no-SQL databases.

Ability to create data and ML pipelines for more efficient and repeatable data science projects using MLOps principles.

Keep abreast with new tools, algorithms and techniques in machine learning and works to implement them in the organization.

Strong understanding of evaluation and monitoring metrics for machine learning projects.

• Proven at least 2 to 3 years of work experience as a Front-end developer
• Hands-on experience with markup languages
• Experience with JavaScript,Next.Js and Tailwind is a must
• Familiarity with browser testing and debugging
• In-depth understanding of the entire web development process (design, development and deployment)
• Understanding of layout aesthetics
• Excellent analytical and multitasking skills
• Engineering Graduates preferred

• Accurately recording details of customers’ purchase orders.
• Processing all customer purchases accordingly.
• Generating promising leads to pursue.
• Managing customer accounts by ensuring that existing customers remain satisfied with the company's services.
• Developing and sustaining solid relationships with customers to encourage repeat business.
• Understanding in-depth knowledge to make suitable recommendations based on customers' needs and preferences.
• Continually meeting or exceeding daily and monthly targets with respect to call volume and sales.

Knowledge, Skills and Abilities :

• Strong OO design and coding skills using multiple stacks, and knowledge of the pros and cons of each
• 1+ years’ experience with Golang
• 6+ years application development experience
• Strong data design skills, using both SQL and NoSQL data stores
• Experience with CI/CD pipelines such as Jenkins
• Experience working with event based distributed systems
• Experience working with services in a Dockerized environment
• Experience with Elasticsearch, Couchbase, Redis, and/or PostgreSQL a plus
• Requires 6+ years of related experience with a Bachelor’s degree; or 3 years and a Master’s degree; or a PhD with 2 years’ experience; or equivalent experience.

Primary Responsibilities:

• Principal Engineers  are responsible for driving Technology and Engineering Best Practices in their respective teams.
• They should demonstrate a high level of ownership and accountability for their product and software systems.
• They are expected to go above and beyond their role by contributing in tools, processes and practices which bring operational efficiency and are aligned with business goals.
• They are expected to actively participate in development along with team members and create systems and modules which represent a working model of engineering best practices.
• They are expected to participate in code reviews, design reviews, architecture discussions.
• They are responsible for the Engineering metrics/health of their systems including strong alerting and monitoring mechanisms.
• They are expected to lead the adoption of best practices around coding, designing, performance of systems in a team.

Experience or Skills Required:

• B.Tech or Advanced degree in Computer Science with 6-12 years of industry experience in product based companies.
• Proficiency with Basic libraries for machine learning such as scikit-learn and pandas
• Experience in building solutions based on Linear Regression, Logistic Regression, K Nearest neighbor, SVM, Random Forest, Decision Trees.
• Strong experience with at least one of programming languages: Python, Java, Vertx, Golang
• Strong experience in building Server side reusable components based on Microservices or Distributed Architecture.
• Solid coding skills with ability to lead teams in identifying clearing tech debts for large scale code base.
• Good understanding & experience in improving performance of scalable and real time responsive applications.
• Excellent Problem Solving skills and an aptitude to approach problems from first principles and build solutions for those.
• Must have excellent communication (verbal & written), interpersonal, leadership, and problem solving skills.
• Must be able to work independently and enjoy working at a fast paced start-up environment
• Excellent Mentoring skills. Be the technical mentor to your team.
• Must be comfortable working in fuzzy environments where boundaries are not clearly defined.