Sales Development Manager - Lead

Responsibilities:

• Handle customer inquiries and provide pre-sales support
• Prepare quotations, proposals, and basic technical documents
• Coordinate with sales, engineering, logistics, and accounts teams
• Conduct product demos and explain product features
• Follow up on leads and maintain customer interaction records
• Support sales team with daily reporting and documentation

About the Company:

E2M Solutions works as a trusted white-label partner for digital agencies. We support agencies with consistent and reliable delivery through services such as website design, web development, eCommerce, SEO, AI SEO, PPC, AI automation, and content writing. Founded on strong business ethics, we are an equal opportunity organization powered by 300+ experienced professionals, partnering with 400+ digital agencies across the US, UK, Canada, Europe, and Australia. At E2M, we value ownership, consistency, and people who are committed to doing meaningful work and growing together. If you’re someone who dreams big and has the gumption to make them come true, E2M has a place for you.

About the Role:

We are seeking a highly skilled Technical Lead – AI who combines deep technical expertise in AI/ML with strong leadership capabilities. The ideal candidate will be responsible for designing AI architectures, leading development teams, and ensuring the successful implementation of AI-driven solutions. This role requires a hands-on technical leader who can guide engineers, solve complex AI problems, and collaborate with cross-functional teams to translate business needs into innovative AI solutions.

Responsibilities:

Technical Leadership:

• Lead the design and development of AI/ML solutions and intelligent automation systems.
• Provide technical guidance and mentorship to AI engineers and developers.
• Conduct architecture reviews, code reviews, and technical evaluations.
• Ensure adoption of best practices in AI model development, testing, and deployment.

AI Solution Development:

• Design and implement machine learning, deep learning, and generative AI models.
• Develop AI-powered solutions such as chatbots, recommendation engines, NLP systems, and predictive analytics models.
• Work on LLM-based applications, prompt engineering, and AI workflow automation.
• Build scalable AI APIs and production-ready AI systems.

Innovation & Research:

• Stay updated with the latest advancements in AI, Machine Learning, and Generative AI technologies.
• Evaluate new tools, frameworks, and technologies to enhance AI capabilities within the organization.
• Contribute to internal AI initiatives and innovation projects.

Required Qualifications:

• 6–8 years of experience in Artificial Intelligence, Machine Learning, or Data Science.
• At least 2 years of experience in a technical leadership or senior engineering role.
• Proven experience building production-level AI applications.

Required Skills:

• Strong programming experience in Python.
• Hands-on experience with Machine Learning frameworks such as, TensorFlow, PyTorch, Scikit-learn
• Experience working with Generative AI and Large Language Models (LLMs), LangChain, Llama Index, or similar AI orchestration frameworks.
• Strong knowledge of Natural Language Processing (NLP).
• Experience building AI APIs and integrating AI into applications.
• Familiarity with vector databases, embeddings, and RAG architectures.
• Hands on knowledge of Full Stack Development.

Review Criteria

• Strong Data Scientist/Machine Learnings/ AI Engineer Profile
• 2+ years of hands-on experience as a Data Scientist or Machine Learning Engineer building ML models
• Strong expertise in Python with the ability to implement classical ML algorithms including linear regression, logistic regression, decision trees, gradient boosting, etc.
• Hands-on experience in minimum 2+ usecaseds out of recommendation systems, image data, fraud/risk detection, price modelling, propensity models
• Strong exposure to NLP, including text generation or text classification (Text G), embeddings, similarity models, user profiling, and feature extraction from unstructured text
• Experience productionizing ML models through APIs/CI/CD/Docker and working on AWS or GCP environments
• Preferred (Company) – Must be from product companies

Job Specific Criteria

• CV Attachment is mandatory
• What's your current company?
• Which use cases you have hands on experience?
• Are you ok for Mumbai location (if candidate is from outside Mumbai)?
• Reason for change (if candidate has been in current company for less than 1 year)?
• Reason for hike (if greater than 25%)?

Role & Responsibilities

• Partner with Product to spot high-leverage ML opportunities tied to business metrics.
• Wrangle large structured and unstructured datasets; build reliable features and data contracts.
• Build and ship models to:
• Enhance customer experiences and personalization
• Boost revenue via pricing/discount optimization
• Power user-to-user discovery and ranking (matchmaking at scale)
• Detect and block fraud/risk in real time
• Score conversion/churn/acceptance propensity for targeted actions
• Collaborate with Engineering to productionize via APIs/CI/CD/Docker on AWS.
• Design and run A/B tests with guardrails.
• Build monitoring for model/data drift and business KPIs

Ideal Candidate

• 2–5 years of DS/ML experience in consumer internet / B2C products, with 7–8 models shipped to production end-to-end.
• Proven, hands-on success in at least two (preferably 3–4) of the following:
• Recommender systems (retrieval + ranking, NDCG/Recall, online lift; bandits a plus)
• Fraud/risk detection (severe class imbalance, PR-AUC)
• Pricing models (elasticity, demand curves, margin vs. win-rate trade-offs, guardrails/simulation)
• Propensity models (payment/churn)
• Programming: strong Python and SQL; solid git, Docker, CI/CD.
• Cloud and data: experience with AWS or GCP; familiarity with warehouses/dashboards (Redshift/BigQuery, Looker/Tableau).
• ML breadth: recommender systems, NLP or user profiling, anomaly detection.
• Communication: clear storytelling with data; can align stakeholders and drive decisions.

Position Overview: The Lead Software Architect - Python & Data Engineering is a senior technical leadership role responsible for designing and owning end-to-end architecture for data-intensive, AI/ML, and analytics platforms, while mentoring developers and ensuring technical excellence across the organization. 

Key Responsibilities: 

• Design end-to-end software architecture for data-intensive applications, AI/ML pipelines, and analytics platforms
• Evaluate trade-offs between competing technical approaches 
• Define data models, API approach, and integration patterns across systems 
• Create technical specifications and architecture documentation 
• Lead by example through production-grade Python code and mentor developers on engineering fundamentals 
• Conduct design and code reviews focused on architectural soundness 
• Establish engineering standards, coding practices, and design patterns for the team 
• Translate business requirements into technical architecture 
• Collaborate with data scientists, analysts, and other teams to design integrated solutions 
• Whiteboard and defend system design and architectural choices 
• Take responsibility for system performance, reliability, and maintainability 
• Identify and resolve architectural bottlenecks proactively 

Required Skills:  

• 8+ years of experience in software architecture and development  
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field 
• Strong foundations in data structures, algorithms, and computational complexity 
• Experience in system design for scale, including caching strategies, load balancing, and asynchronous processing  
• 6+ years of Python development experience 
• Deep knowledge of Django, Flask, or FastAPI 
• Expert understanding of Python internals including GIL and memory management 
• Experience with RESTful API design and event-driven architectures (Kafka, RabbitMQ) 
• Proficiency in data processing frameworks such as Pandas, Apache Spark, and Airflow 
• Strong SQL optimization and database design experience (PostgreSQL, MySQL, MongoDB)  Experience with AWS, GCP, or Azure cloud platforms 
• Knowledge of containerization (Docker) and orchestration (Kubernetes) 
• Hands-on experience designing CI/CD pipelines Preferred (Bonus) 

Skills: 

• Experience deploying ML models to production (MLOps, model serving, monitoring) Understanding of ML system design including feature stores and model versioning 
• Familiarity with ML frameworks such as scikit-learn, TensorFlow, and PyTorch  
• Open-source contributions or technical blogging demonstrating architectural depth 
• Experience with modern front-end frameworks for full-stack perspective

1. Handle Clients queries and their requirements of Commercial property
2. Sell real estate Commercial  properties to Corporate & HNI clients
3. Show client different available option of properties
4. Send proposals to client
5. Build Relationship with HNI & Corporate clients.
6. Go for meetings and inspections with clients
7. Database management related to Clients and Properties.
8. Report on the deals under various stages of progress with their status.
9. Achieve Monthly / Annual Business targets of self and team.
10. Close prospective Clients and ensure Collections.
11. Other ELPC activities

Key Responsibilities:

• Identify potential clients and business opportunities through market research, networking, and cold calling.
• Develop and maintain relationships with key decision-makers in target businesses.
• Present and demonstrate product offerings to potential clients.
• Negotiate contract terms and pricing with clients.
• Close sales deals and meet or exceed sales targets.
• Work closely with the marketing team to develop sales collaterals and promotional materials.
• Provide after-sales support to ensure client satisfaction.
• Gather market and customer information to provide feedback on buying trends.
• Maintain accurate records of sales, revenue, invoices, and other important data.
• Create detailed proposal documents and deliver presentations.

Requirements:

• Bachelor's degree in Business, Marketing, or a related field.
• Proven experience in B2B sales, preferably in the [industry].
• Strong negotiation and communication skills.
• Ability to build and maintain relationships with clients.
• Self-motivated and target-driven with a proven track record in sales.
• Proficiency in CRM software and Microsoft Office Suite.
• Ability to work independently and as part of a team.
• Willingness to travel as needed.

Full Stack Developer (Python, Javascript, HTML, API)

Job Overview

The SkillTurk Team is seeking a skilled Full Stack Developer with expertise in Python, JavaScript, HTML, and API functions to join our dynamic team. As a Full Stack Developer, you will be responsible for designing, developing, and maintaining web applications that seamlessly integrate front-end and back-end components. Your role will involve working on server-side development, utilizing your knowledge of Python, JavaScript, HTML, and API integration to deliver robust and scalable solutions.

Responsibilities:

·      Full Stack Development: Design, develop, and deploy feature-rich web applications using Python, JavaScript, HTML, and CSS technologies.

·      Front-end Development: Create responsive and intuitive user interfaces using HTML, CSS, and JavaScript frameworks, ensuring optimal user experience across different devices and browsers.

·      Back-end Development: Develop server-side logic and APIs using Python frameworks such as Django or Flask to enable smooth data flow and interaction between the front-end and the database.

·      API Integration: Understand and integrate third-party APIs and services to enhance the functionality and capabilities of web applications.

·      Database Management: Design and implement efficient database schemas, write optimized SQL queries, and ensure data integrity and security.

·      Testing and Debugging: Conduct rigorous testing and debugging to identify and fix issues, ensuring high-quality and bug-free code.

·      Collaborate with Teams: Work closely with the data engineer and stakeholders to gather requirements, provide technical insights, and ensure seamless integration of front-end and back-end components.

·      Continuous Learning: Stay up to date with industry trends, emerging technologies, and best practices in full stack development, and apply them to enhance the development process and deliver innovative solutions.

·      Troubleshooting and Issue Resolution: Identify and resolve technical issues, performance bottlenecks, and system failures, both during development and in production environments.

·      Code Maintenance and Version Control: Manage code repositories, version control systems (e.g., Git), and documentation to ensure efficient collaboration and codebase integrity.

Requirements:

·      Strong proficiency in Python programming language.

·      Proficiency in client-side web technologies including JavaScript, HTML, and CSS.

·      Experience with server-side frameworks such as Django or Flask.

·      Understanding of API design principles and experience with API integration.

·      Knowledge of database systems, SQL and the ability to write optimized queries.

·      Familiarity with version control systems like Git.

·      Solid understanding of web development principles, including responsive design, cross-browser compatibility, and accessibility.

·      Strong problem-solving and debugging skills.

·      Excellent teamwork and communication abilities.

Preferred Skills (not mandatory but beneficial):

·      Experience with cloud platforms such as AWS or Azure.

·      Understanding of Github deployments.

·      Understanding of security principles and best practices in web development.

If you are a highly motivated individual with a passion for full stack development and possess the required skills, we encourage you to apply for this position. Join our team and contribute to the creation of cutting-edge web applications that deliver seamless user experiences and drive innovation.

Java_FullstackDeveloper_DGT II