SDET

Role & Responsibilities

• work with peers in Product, QA, and other Engineering departments;
• coach and mentor team members;
• cautiously drive adoption of new technologies and processes;
• preserve our engineering values of quality, scalability, and maintainability;
• “see around corners” — identify blind spots and prioritize work across teams;
• work with international teams to ensure successful product development and delivery; and
• own the overall architecture and systems engineering for your products.

Ideal Candidate

• exceptional communication and organizational skills;
• experience recruiting for and building software engineering teams;
• the ability to inspire and motivate team members;
• a strong technical background in software engineering and architecture, and experience with modern programming languages and frameworks;
• 6+ years of software development experience; and
• 4+ years of experience managing software teams (as a Team Lead or a Manager) or similar experience as an individual contributor.

Relationship Manager- Broking

Key Responsibilities:

·         Build and maintain strong relationships with Authorized Partners (APs).

·         Drive business growth and enhance partner revenue.

·         Provide training, mentoring, and activation support for business partners.

·         Ensure compliance with regulatory and procedural standards.

·         Promote stock broking products such as Smallcase, Stock SIP, MTF, Investments & Trading.

·         Engage, motivate, and develop business partnerships.

·         Deliver service excellence and meet key business KPIs.

Requirements:

·         Minimum 1 year of experience in broking/financial markets.

·         Strong communication & relationship management skills.

·         Good knowledge of financial markets & trading.

·         Comfortable working in a target-driven environment.

We are looking BDE Intern for our office ,good communication

6 months Intership

paid Intern

full time work time: 9:30 am to 6:30 pm

Job Title: Regional Sales Manager – East

Location: Kolkata (Base Location)

Reporting To: National Sales Manager (NSM)

Role Overview

We are seeking a dynamic and results-driven Regional Sales Manager – East to lead and expand our sales operations across the Eastern region of India.

The ideal candidate will play a pivotal role in driving business growth, managing regional teams, and building strong relationships with key stakeholders in the healthcare ecosystem.

Key Responsibilities

• Manage and grow sales operations across the East region (including West Bengal, Odisha, Bihar, Jharkhand, Assam, and other North-Eastern states).

• Develop and implement regional sales strategies to achieve business targets.

• Identify new business opportunities and expand the distributor/dealer network.

• Lead, mentor, and motivate the regional sales team to ensure high performance.

• Build and maintain strong relationships with doctors, lab managers, hospitals, and distributors.

• Monitor market trends and competitor activities to refine sales strategies.

• Provide regular reports, forecasts, and market insights to the National Sales Manager.

• Represent the company at regional exhibitions, trade shows, and marketing events.

Requirements

• Bachelor’s degree in Science, Pharmacy, Biomedical, or a related field (MBA preferred).

• 4–6 years of experience in medical device or diagnostic sales, with at least 2–3 years in a managerial role.

• Must have prior experience in the medical device industry.

• Proven leadership, communication, and negotiation skills.

• Strong understanding of the Eastern Indian healthcare market.

• Willingness to travel extensively across the assigned region.

Perks & Benefits

• Competitive salary with performance-based incentives.

• Travel allowance and expense reimbursement.

• Continuous learning and professional development opportunities.

• Opportunity to work with cutting-edge diagnostic technologies in a fast-growing, innovation driven organization.

Responsibilities

● Design, build, and deploy applied ML models (NLP, LLM-based) to solve real-world sales tech problems.

● Build and orchestrate true multi-agent systems to collaboratively solve complex tasks and workflows that reason, remember, plan, and take actions over structured and unstructured data.

● Use frameworks like LangGraph, CrewAI, or custom planners to orchestrate LLM-powered agents.

● Prototype and productionize capabilities using foundation models (OpenAI, Claude, Gemini, etc.), embeddings, and vector databases (e.g., Pinecone, Weaviate).

● Work with the product team to integrate intelligent agents into customer CRM workflows and GTM-facing tools.

● Design observability, evaluation and control mechanisms to ensure agent reliability, traceability, safety and frugality.

● Continuously improve agents with RF and active learning.

Requirements

● Bachelor’s or Master’s in Computer Science, AI/ML, or a related field.

● 2+ years of experience deploying ML models or AI systems in production

environments.

● Experience with LLMs, NLP pipelines, prompt engineering, and fine-tuning.

● Familiarity with agentic frameworks (LangChain, LangGraph, AutoGPT, CrewAI, or custom orchestration).

● Strong Python programming skills and deep knowledge of the ML/LLM ecosystem.

● Hands-on experience with MLOps, API integrations, and cloud infrastructure (AWS, GCP, or Azure).

● Ability to balance rapid experimentation with robust engineering.

Nice to Have

● Experience working with sales/revenue data (CRM, Gong, Salesforce, LinkedIn).

● Familiarity with reasoning techniques (ReAct, CoT, Tree-of-Thoughts), graph orchestration, and tool chaining.

● Exposure to multi-agent systems, RAG pipelines, or feedback loops in production.

● Contributions to open-source AI/agentic tools or frameworks.

Exp : 0-1 Year*

Female Candidate*

Good Knowledge in IT Recruitment*

• Exposure in Job portals and social network
• Experience in hiring Web developers and Mobile developers
• Should have strong communication skills and interpersonal skill
• Sourcing the right candidates through Job Portals, Advertisements, Headhunting, Networking & Employee Referrals, etc.
• Good analytic skills and expertise to be proficient in hiring through various channels, utilising job portals, free job posting sites, social networking sites, etc.
• Understanding the requirements and Sourcing, Screening profiles, shortlisting the candidates for a preliminary interview.
• Develop sourcing strategies that are successful in reaching out to the passive and active job seekers Screen and interview prospective candidates.
• Build good rapport with candidates throughout the interview process to ensure a positive experience.
• Regularly update the internal database with new resumes and bring in more innovative recruiting techniques.

Invesco is seeking a skilled React.js Developer with a strong background in data analytics to join our team. The Engineer within the Enterprise Risk function will manage complex data engineering, analysis, and programming tasks in support of the execution of the Enterprise Risk and Internal Audit activities and projects as defined by the Enterprise Risk Analytics leadership team. The Engineer will manage and streamline data extraction, transformation, and load processes, design use cases, analyze data, and apply creativity and data science techniques to deliver effective and efficient solutions enabling greater risk intelligence and insights.

Key Responsibilities / Duties:

• Acquire, transform, and manage data supporting risk and control-related activities
• Design, build, and maintain data analytics and data science tools supporting individual tasks and projects.
• Maintain programming code, software packages, and databases to support ongoing analytics activities.
• Exercise judgment in determining the application of data analytics for business processes, including the identification and location of data sources.
• Actively discover data analytics capabilities within the firm and leverage such capabilities where possible.
• Introduce new data analytics-related tools and technologies to business partners and consumers.
• Support business partners, data analysts, consumers’ understanding of product logic and related system processes
• Share learnings and alternative techniques with other Engineers and Data Analysts.
• Perform other duties and special projects as assigned by the Enterprise Risk Analytics leadership team and other leaders across Enterprise Risk and Internal Audit.
• Actively contribute to developing a culture of innovation within the department and risk and control awareness throughout the organization.
• Keep Head of Data Science & Engineering and departmental leadership informed of activities.
  
  

Work Experience / Knowledge:

• Minimum 5 years of experience in data analysis, data management, software development or data-related risk management roles; previous experience in programming will be considered.
• Experience within the financial services sector preferred
  
  

Skills / Other Personal Attributes Required:

• Proactive problem solver with the ability to identify, design, and deliver solutions based on high level objectives and detailed requirements. Thoroughly identify and investigate issues and determine the appropriate course of action
• Excellent in code development supporting data analytics and visualization, preferably programming languages and libraries such as JavaScript, R, Python, NextUI, ReactUI, Shiny, Streamlit, Plotly and D3.js
• Excellent with data extraction, transformation, and load processes (ETL), structured query language (SQL), and database management. 
• Strong self-learner to continuously develop new technical capabilities to become more efficient and productive
• Experience using end user data analytics software such as Tableau, PowerBI, SAS, and Excel a plus
• Proficient with various disciplines of data science, such as machine learning, natural language processing and network science
• Experience with end-to-end implementation of web applications on AWS, including using services such as EC2, EKS, RDS, ALB, Route53 and Airflow a plus
• Self-starter and motivated; must be able to work without frequent direct supervision
• Proficient with Microsoft Office applications (Teams, Outlook, MS Word, Excel, PowerPoint etc.)
• Excellent analytical and problem-solving skills
• Strong project management and administrative skills
• Strong written and verbal communication skills (English)
• Results-oriented and comfortable as an individual contributor on specific assignments
• Ability to handle confidential information and communicate clearly with individuals at a wide range of levels on sensitive matters
• Demonstrated ability to work in a diverse, cross-functional, and international environment
• Adaptable and comfortable with changing environment
• Demonstrates high professional ethics
  
  

Formal Education:

• Bachelor’s degree in Information Systems, Computer Science, Computer Engineering, Mathematics, Statistics, Data Science, or Statistics preferred. Other technology or quantitative finance-related degrees considered depending upon relevant experience
• MBA, Master’s degree in Information Systems, Computer Science, Mathematics, Statistics, Data Science, or Finance a plus
  
  

License / Registration / Certification:

• Professional data science, analytics, business intelligence, visualization, and/or development designation (e.g., CAP, CBIP, or other relevant product-specific certificates) or actively pursuing the completion of such designation preferred
• Other certifications considered depending on domain and relevant experience
  
  

Working Conditions:

Potential for up to 10% domestic and international travel

Desired Candidate Profile

• Bachelor’s degree or Master's degree (from tier 1 college - IIT/NIT/IIM/XLRI/MDI/ Any other Tier 1 Colleges)
• 3+ years experience with 2+ years experience in digital marketing at a high growth app-based B2C organisation
• Strong quantitative mindset and data driven approach to digital marketing
• Expertise in excel-based data modelling and analytics tools
• Experience in handling mid to large scale monthly digital marketing budgets
• Hands-on experience in managing Facebook Ads, Google Ads at scale
• Experience in programmatic advertising is a big plus for this role
• Experience in understanding data using Google Analytics/ Mixpanel/ AppsFlyer or any other analytics or attribution tool
• Experience in cross-team collaboration, team management and agency management