Python Developer

Strong B2C Brand Marketing Profile

Mandatory (Experience 1) - Must have 3+ years of experience as a marketer preferably across tech, mobility, energy, fintech, or high-growth apps

Mandatory (Experience 2) - Must have experience executing end-to-end brand and consumer campaigns across Instagram, WhatsApp, content platforms, ATL/BTL, and on-ground activations.

Mandatory (Experience 3) - Must have strong experience in digital storytelling, including social content, creator/influencer collaborations, product videos, and explainer assets

Mandatory (Experience 4) - Strong ability to turn business targets into creative strategies that drive measurable outcomes

Mandatory (Experience 5) - Must have atleast 1 year of experience managing a team of marketers

Mandatory (Company) - B2C Product companies

Mandatory (Note) - Candidate must be comfortable working on the 1st and 3rd Saturday of every month.

Job Title: Backend Engineer - NodeJS, NestJS, and Python

Location: Hybrid weekly ⅔ days WFO (Bengaluru- India)

About the role:

We are looking for a skilled and passionate Senior Backend Developer to join our dynamic team. The ideal candidate should have strong experience in Node.js and NestJS, along with a solid understanding of database management, query optimization, and microservices architecture. As a backend developer, you will be responsible for developing and maintaining scalable backend systems, building robust APIs, integrating databases, and working closely with frontend and DevOps teams to deliver high-quality software solutions.

What You'll Do 🛠️ 

• Design, develop, and maintain server-side logic using Node.js, NestJS, and Python.
• Develop and integrate RESTful APIs and microservices to support scalable systems.
• Work with NoSQL and SQL databases (e.g., MongoDB, PostgreSQL, MySQL) to create and manage schemas, write complex queries, and optimize performance.
• Collaborate with cross-functional teams including frontend, DevOps, and QA.
• Ensure code quality, maintainability, and scalability through code reviews, testing, and documentation.
• Monitor and troubleshoot production systems, ensuring high availability and performance.
• Implement security and data protection best practices.

What You'll Bring 💼 

• 4 to 6 years of professional experience as a backend developer.
• Strong proficiency in Node.js and NestJS framework.
• Good hands-on experience with Python (Django/Flask experience is a plus).
• Solid understanding of relational and non-relational databases.
• Proficient in writing complex NoSQL queries and SQL queries
• Experience with microservices architecture and distributed systems.
• Familiarity with version control systems like Git.
• Basic understanding of containerization (e.g., Docker) and cloud services is a plus.
• Excellent problem-solving skills and a collaborative mindset.

Bonus Points ➕ 

• Experience with CI/CD pipelines.
• Exposure to cloud platforms like AWS, GCP or Azure.
• Familiarity with event-driven architecture or message brokers (MQTT, Kafka, RabbitMQ)

Why this role matters

You will help build the company from the ground up—shaping our culture and having an impact from Day 1 as part of the foundational team.

Skill 1 : Java, Spring boot, Microservices and React.

Exp : 3+

Location : Hyderabad and Chennai.

Notice Period : Immediate to 30 days.

LogiNext is looking for a technically savvy and passionate Principle Engineer - Data Science to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.

In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

Your goal will be to help our company analyze trends to make better decisions. Without knowledge of how the software works, data scientists might have difficulty in work. Apart from experience in developing R and Python, they must know modern approaches to software development and their impact. DevOps continuous integration and deployment, experience in cloud computing are everyday skills to manage and process data.

Responsibilities :

Adapting and enhancing machine learning techniques based on physical intuition about the domain Design sampling methodology, prepare data, including data cleaning, univariate analysis, missing value imputation, , identify appropriate analytic and statistical methodology, develop predictive models and document process and results Lead projects both as a principal investigator and project manager, responsible for meeting project requirements on schedule and on budget Coordinate and lead efforts to innovate by deriving insights from heterogeneous sets of data generated by our suite of Aerospace products Support and mentor data scientists Maintain and work with our data pipeline that transfers and processes several terabytes of data using Spark, Scala, Python, Apache Kafka, Pig/Hive & Impala Work directly with application teams/partners (internal clients such as Xbox, Skype, Office) to understand their offerings/domain and help them become successful with data so they can run controlled experiments (a/b testing) Understand the data generated by experiments, and producing actionable, trustworthy conclusions from them Apply data analysis, data mining and data processing to present data clearly and develop experiments (ab testing) Work with development team to build tools for data logging and repeatable data tasks tol accelerate and automate data scientist duties

Requirements:

Bachelor’s or Master’s degree in Computer Science, Math, Physics, Engineering, Statistics or other technical field. PhD preferred 8 to 10 years of experience in data mining, data modeling, and reporting 5+ years of experience working with large data sets or do large scale quantitative analysis Expert SQL scripting required Development experience in one of the following: Scala, Java, Python, Perl, PHP, C++ or C# Experience working with Hadoop, Pig/Hive, Spark, MapReduce Ability to drive projects Basic understanding of statistics – hypothesis testing, p-values, confidence intervals, regression, classification, and optimization are core lingo Analysis - Should be able to perform Exploratory Data Analysis and get actionable insights from the data, with impressive visualization. Modeling - Should be familiar with ML concepts and algorithms; understanding of the internals and pros/cons of models is required. Strong algorithmic problem-solving skills Experience manipulating large data sets through statistical software (ex. R, SAS) or other methods Superior verbal, visual and written communication skills to educate and work with cross functional teams on controlled experiments Experimentation design or A/B testing experience is preferred. Experience in leading a team required.

Position description:

As a Sourcer, you will be responsible for sourcing active candidates from on-line databases, contact lists, and internal databases as well as sourcing passive candidates through networking, cold calling, complex internet searches, and research. This is a great opportunity for anyone in Staffing to become a part of a truly global sourcing effort. 

Responsibilities:
1. Proactively conduct research and investigate new ideas to create innovative sourcing strategies. Strong focus on sourcing passive candidates through networking, cold calling, complex internet searches, and research.

2. Source active candidates from on-line databases, contact lists, internal databases, and employee referrals.

3. Act as a search expert for a functional area(s) by understanding functional hiring needs, position specifications, and search requirements.

4. Partner with recruiters to generate ideas, leverage resources, and share information that facilitates an effective search process.

5. BA/BS degree preferred or equivalent experience

6. 3-5 years of recruitment experience in an agency

7. Be a market intel expert for the respective skill sets you hire for and drive insightful discussions around talent availability, forecasting, competitor landscape with recruiters and clients

Job Responsibilities:

1.Make 20 Calls each day to filter and qualify leads as per the program suitability

2.Conduct min of 18 zoom meetings/walk-ins each week for qualified and interested candidates

3.Conduct minimum of 10 assessments each week against the shortlisted and thereby interested for enrolment candidates alone

4.Facilitate the entry level assessment and result discussions with the concerned as instructed by the reporting head
5.Bring in 3 closures each week of meticulously either full sale value or of part payments

6.Exhibit effective client relations and bring in passive income by creating referral database

7.Conduct in person meetings with walk-ins client as assigned

8.Maintain up-to-date MIS reporting (call logs, sales summary sheet, target tracker & Selection list Superr’30). And adapt to any new addition to the list.
9.Ensure 20 closures of 100 qualified leads assigned in a month
10.Attend all weekly review meetings and come prepared with the sales review summary report
11.Liaison efficiently with back-end operations for hassle free client handling and ensure client is informed with no discrepancy of his best chances and impact of our services

12.Attend all training programs as and when requested by the reporting head

13.Facilitate new joiner training programs as instructed by the head.

14.Participate in marketing initiatives as and when required.

• Manage sales operations in assigned district to achieve revenue goals.
• Supervise sales team members; the BSMs, on daily basis and provide guidance whenever needed.
• Identify skill gaps and conduct trainings to sales team.
• Work with team to implement new sales techniques to obtain profits.
• Assist in employee recruitment, promotion, retention and termination activities.
• Conduct employee performance evaluation and provide feedback for improvements.
• Contact potential customers and identify new business opportunities.
• Stay abreast with customer needs, market trends and competitors.
• Maintain clear and complete sales reports for management review.
• Build strong relationships with customers for business growth.
• Analyze sales performances and recommend improvements.
• Ensure that sales team follows company policies and procedures at all times.
• Develop promotional programs to increase sales and revenue.
• Plan and coordinate sales activities for assigned projects.
• Provide outstanding services and ensure customer satisfaction.