Business Analyst

Strong Client-Facing Engineering Manager Profile

Mandatory (Experience): Must have 8+ years of engineering experience, with substantial exposure to back-end development, scalable distributed systems, and modern web services

Mandatory (Leadership): Must have 2+ years of experience in people and delivery leadership, owning engineering execution and leading teams to deliver complex products

Mandatory (Client-Facing Experience): Must have proven experience working directly with external stakeholders / clients, translating client requirements into engineering plans and delivering solutions with high customer impact

Mandatory (Technical Skills 1): Must have in-depth experience with Java, Spring, microservices and understanding of Software development lifecycle (SDLC), building reliable, high-performance systems

Mandatory (Technical Skills 2): Strong problem-solving and design capabilities; experience with system design, architecture reviews, and engineering best practices

Mandatory (Tools): Must have expertise in agile methodologies and project management tools

Mandatory (Communication): Excellent written and verbal communication skills, with a track record of presenting technical solutions to both technical and non-technical stakeholders

Mandatory (Cross-Functional Collaboration): Must be skilled in working with product, design, sales, and client teams to drive requirements, delivery, and client success

Mandatory (Execution & Delivery): Demonstrated ability to manage end-to-end delivery, coordinate releases, prioritise effectively, and deliver results in time

Mandatory (Company):Product companies

Mandatory (Stability): Must have stayed for at least 2 years with each of the previous companies

Mandatory (Education): B.Tech in computer science, engineering or a related field from Tier 1, Tier 2 colleges (Master's preferred)

Mandatory (Note 1): Education can be ignored for candidates with proven experience in strong, reputed product companies

Mandatory (Note 2): This role is a balanced mix of individual contribution and leadership responsibilities (50–50).

Data Scientist

Job Id: QX003

About Us:

QX impact was launched with a mission to make AI accessible and affordable and deliver AI Products/Solutions at scale for enterprises by bringing the power of Data, AI, and Engineering to drive digital transformation. We believe without insights, businesses will continue to face challenges to better understand their customers and even lose them; Secondly, without insights businesses won't’ be able to deliver differentiated products/services; and finally, without insights, businesses can’t achieve a new level of “Operational Excellence” is crucial to remain competitive, meeting rising customer expectations, expanding markets, and digitalization.

Position Overview:

We are seeking a collaborative and analytical Data Scientist who can bridge the gap between business needs and data science capabilities. In this role, you will lead and support projects that apply machine learning, AI, and statistical modeling to generate actionable insights and drive business value.

Key Responsibilities:

• Collaborate with stakeholders to define and translate business challenges into data science solutions.
• Conduct in-depth data analysis on structured and unstructured datasets.
• Build, validate, and deploy machine learning models to solve real-world problems.
• Develop clear visualizations and presentations to communicate insights.
• Drive end-to-end project delivery, from exploration to production.
• Contribute to team knowledge sharing and mentorship activities.

Must-Have Skills:

• 3+ years of progressive experience in data science, applied analytics, or a related quantitative role, demonstrating a proven track record of delivering impactful data-driven solutions.
• Exceptional programming proficiency in Python, including extensive experience with core libraries such as Pandas, NumPy, Scikit-learn, NLTK and XGBoost. 
• Expert-level SQL skills for complex data extraction, transformation, and analysis from various relational databases.
• Deep understanding and practical application of statistical modeling and machine learning techniques, including but not limited to regression, classification, clustering, time series analysis, and dimensionality reduction.
• Proven expertise in end-to-end machine learning model development lifecycle, including robust feature engineering, rigorous model validation and evaluation (e.g., A/B testing), and model deployment strategies.
• Demonstrated ability to translate complex business problems into actionable analytical frameworks and data science solutions, driving measurable business outcomes.
• Proficiency in advanced data analysis techniques, including Exploratory Data Analysis (EDA), customer segmentation (e.g., RFM analysis), and cohort analysis, to uncover actionable insights.
• Experience in designing and implementing data models, including logical and physical data modeling, and developing source-to-target mappings for robust data pipelines.
• Exceptional communication skills, with the ability to clearly articulate complex technical findings, methodologies, and recommendations to diverse business stakeholders (both technical and non-technical audiences).
• Experience in designing and implementing data models, including logical and physical data modeling, and developing source-to-target mappings for robust data pipelines.
• Exceptional communication skills, with the ability to clearly articulate complex technical findings, methodologies, and recommendations to diverse business stakeholders (both technical and non-technical audiences).

Good-to-Have Skills:

• Experience with cloud platforms (Azure, AWS, GCP) and specific services like Azure ML, Synapse, Azure Kubernetes and Databricks.
• Familiarity with big data processing tools like Apache Spark or Hadoop.
• Exposure to MLOps tools and practices (e.g., MLflow, Docker, Kubeflow) for model lifecycle management.
• Knowledge of deep learning libraries (TensorFlow, PyTorch) or experience with Generative AI (GenAI) and Large Language Models (LLMs).
• Proficiency with business intelligence and data visualization tools such as Tableau, Power BI, or Plotly.
• Experience working within Agile project delivery methodologies.

Competencies:

·        Tech Savvy - Anticipating and adopting innovations in business-building digital and technology applications.

·        Self-Development - Actively seeking new ways to grow and be challenged using both formal and informal development channels.

·        Action Oriented - Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm.

·        Customer Focus - Building strong customer relationships and delivering customer-centric solutions.

·        Optimizes Work Processes - Knowing the most effective and efficient processes to get things done, with a focus on continuous improvement.

Why Join Us?

• Be part of a collaborative and agile team driving cutting-edge AI and data engineering solutions.
• Work on impactful projects that make a difference across industries.
• Opportunities for professional growth and continuous learning.
• Competitive salary and benefits package.

Deltek is looking for highly motivated and energetic teammates to join our growing organization. The team’s collaborative and dynamic culture celebrates and promotes success. You will focus on generating revenue through pipeline development, fostering relationships, and analyzing customer needs to uncover business challenges. You will learn the business, the industry, and how to sell, all in an agile environment. 

As an Associate SDR at Deltek, you attend a thorough onboarding program complete with mentorship guidance to learn about Deltek's product portfolio, our customers, their business challenges, and our sales process. You will develop robust sales skills along with a variety of techniques and tactics that will help you build direct value for your clients. 

As an Associate SDR, you will: 

• Identify new sales leads, understand customer pains & needs, position solutions and build collaborative relationships. 
• Phone and email prospecting focused on establishing a strong rapport with potential clients with the aim to set up qualified meetings with our field sales team. 
• Discover the prospect’s buying stage and work with them accordingly. 
• Research and build intelligence on organizations and contacts online/offline to identify new leads and potential new markets. 
• Collaborate with the sales and marketing team to prioritize efforts, refine selling strategies, share results and plan next steps. 
• Participate in sales onboarding, 1:1 training sessions, team meetings, skill building and professional development courses. 
• Exceed weekly/monthly goals for meetings, pipeline and activity. 
• Capture accurate and complete information in Deltek’s sales tools. 

Qualifications 

• MBA preferred. Four-year university degree required. 
• Strong oral and written communication skills to present, assert and speak with all the stakeholders involved. Must be able to engage prospects over the phone with a high degree of confidence. 
• Strong ability to collaborate with internal and external customers to build lasting relationships, influence positive first impressions, and manage conflicts. 
• Strong research and account/market analysis skills. 
• Dependable, passionate and a desire to pursue a career in sales . 
• Ability to accelerate in a spirited, rewarding atmosphere. 

Job Description – Full Stack Software Engineer (Mid–Senior)

Client: Vital Connect

Employment Type: Full-Time

Shift: Night Shift

Salary: Upto 24 LPA

Location: Panchkula / Chandigarh

Communication: 7.5–8/10 minimum

Role Overview

We are looking for a Mid–Senior Full Stack Software Engineer to support the transition to a cloud-native, microservices and micro-frontend architecture. The role requires strong front-end and back-end expertise and close collaboration within an Agile SCRUM environment.

Key Responsibilities

• Design, develop, and maintain cloud-native microservices.
• Build responsive front-end applications using Angular and/or React (Micro Frontends).
• Develop backend services using Node.js, NestJS, and Python.
• Work with Kubernetes for containerized deployments.
• Collaborate with Product and QA teams in Agile SCRUM.
• Troubleshoot and resolve issues in distributed systems.
• Ensure compliance with HIPAA and healthcare security standards.

Required Skills

• Strong experience in JavaScript, TypeScript, Node.js.
• Hands-on with Angular and/or React (both preferred).
• Experience with NestJS, Microservices, and Micro Frontends.
• Knowledge of Kubernetes, SQL/NoSQL databases, APIs, and distributed systems.
• Experience with CI/CD pipelines and cloud platforms (AWS or similar).
• Excellent communication and teamwork skills.

Good to Have

• Experience in healthcare or regulated domains (HIPAA/FDA).
• Exposure to Docker, Kafka, and performance testing.
• Understanding of security and privacy best practices.

Regards

Vignesh kannan v

Mileveen Technologies

SENIOR & LEAD DJANGO DEVELOPER

 https://www.google.com/url?q=http://www.modistabox.com/&;sa=D&source=calendar&ust=1608538068877000&usg=AOvVaw3-pg78MftxTqbzNdjFd09j" target="_blank">Modista: The Social, Fashion Shopping and Styling App.

Modista is an Artificial Intelligence driven fashion tech start-up from Saudi Arabia and United Arab Emirates. Our Social Looks platform brings Fashion Influencers, Personal Stylists and Customers to the same platform. 

We handpick items for each client, to help them look and feel their best. Over time, our AI algorithm learns from each client's preferences, likes, and dislikes, making it the only shopping experience that can know women's tastes even better than her friends. 

Backed by the Investment Group from Saudi Arabia, the business aims to be MENA’s favorite destination for personalized fashion. A unique business model to inspire and change the way people find the right fashion they love, by combining technology with the art of personal styling.

What are we looking for? 

We are looking for a high-performing Lead Developer to build our Ecommerce platform and API framework powered by Machine Learning and Artificial Intelligence. Candidates for this role will be passionate about well written code, testing, and excel at coming up with simple approaches to complex problems.

Our work culture is #overachiever, very amiable, and at the same time always charged with excitement. We encourage our team members to take responsibility and grow into future leaders in the industry. 

Job Responsibilities:

• Understand project requirements, writing bug free clean code and ensure that the solution works per the agreed architecture, SLAs, KPIs and business model

• Integrate Django backend with third party API 

• 100% Hands on role 

• Make architecture decisions that contribute to maintainable systems 

• Adapt to rapidly evolving requirements and changing priorities and drive the team accordingly 

• Responsible to drive and support Ecommerce project activities and ensure marketplace implementation, deepen customer engagement, satisfaction, and user engagement 

• Reverse engineer for debugging errors in code and ensure quality control in the process. 

• Continually drive products towards a meaningful balance between user needs, business objectives and technical feasibility

• Documentation and reference preparation for users by writing operating instructions including changes and revisions.

• Operate in a hyper-collaborative way and follow these guiding principles: Value common sense and simplicity over complexity, make decisions quickly and move nimbly, celebrate diverse ideas, Succeed and fail together as a team 

Qualifications:

• Bachelor or Master Degree in Computer Science, Software Engineering from a reputed University

• React and/or Angular for front end 

• Proficiency in MongoDB and MySql

• Technical Skills: JIRA, Gitlab, Rest API, GCP or AWS

• Integration experience with Payment gateway, shipping company and VAT, database concepts, Experience of web services 

• Experience in performance profiling, tuning, and optimization, caching mechanisms with Enterprise level applicants

• Analytical, debugging, and troubleshooting skill with proven experience troubleshooting and fixing production bugs

• Experience in writing unit testing and test case automation. 

• Ability to operate in Agile environment with a start-up mentality and unstructured environment, Energy, drive and passion to work, and operate in a digital world.