Content Writer

Job Description:

Apprication Hiring for BDE -US -Work from office -Goregoan(E)

Candidates need to have a neutral English accent.

Lead generation/ sales experience/ BDE in the US / UK or Australia process is necessary.

2 year of minimum work experience is a must.

Working hours - 10:00 PM -7:00 AM

For more details connect on Seven Three Zero Fo

Job Title : Tech Lead - MERN Stack

Experience : 5+ Years

Location : Mohali

Job Summary :

We are seeking a dynamic Tech Lead - Full Stack (MERN) to spearhead our web development team. The ideal candidate will lead the design, development, and delivery of robust web applications while mentoring team members and ensuring adherence to industry best practices. This is a hands-on role requiring exceptional leadership, technical expertise, and a commitment to driving excellence.

Key Responsibilities :

• Oversee project execution, ensuring adherence to scope, budget, and timelines.
• Make critical technical and product decisions while collaborating with Product Managers and clients.
• Lead and mentor the development team in coding best practices and modern web technologies.
• Design and develop scalable web applications using the MERN stack (MongoDB, Express.js, React.js, Node.js).
• Coordinate cross-functional teams to define project requirements and goals.
• Analyze resource needs, assess project feasibility, and create detailed project plans.
• Represent the team in planning meetings and provide technical guidance to stakeholders.
• Stay updated on industry trends, challenges, and new technologies to enhance team performance.
• Participate in hiring and onboarding new team members.

Required Skills and Qualifications :

• Bachelor’s degree in Computer Science or a related field.
• Proven experience as a Full Stack Developer with expertise in the MERN stack.
• Previous experience in a leadership or technical lead role.
• Strong understanding of the software development lifecycle (SDLC) and Agile methodologies.
• Excellent problem-solving, communication, and interpersonal skills.
• Team handling experience is essential.
• Ability to balance hands-on coding with leadership responsibilities.

Why Join Us?

• Be part of a forward-thinking and collaborative team.
• Work on exciting and innovative projects with the latest technologies.
• Contribute to shaping the technical vision of the company.

Role Overview:

Zolvit is looking for a highly skilled and self-driven Lead Machine Learning Engineer / Lead Data Scientist to lead the design and development of scalable, production-grade ML systems. This role is ideal for someone who thrives on solving complex problems using data, is deeply passionate about machine learning, and has a strong understanding of both classical techniques and modern AI systems like Large Language Models (LLMs).

You will work closely with engineering, product, and business teams to identify impactful ML use cases, build data pipelines, design training workflows, and ensure the deployment of robust, high-performance models at scale.

Key Responsibilities:

● Design and implement scalable ML systems, from experimentation to deployment.

● Build and maintain end-to-end data pipelines for data ingestion, preprocessing, feature engineering, and monitoring.

● Lead the development and deployment of ML models across a variety of use cases — including classical ML and LLM-based applications like summarization, classification, document understanding, and more.

● Define model training and evaluation pipelines, ensuring reproducibility and performance tracking.

● Apply statistical methods to interpret data, validate assumptions, and inform modeling decisions.

● Collaborate cross-functionally with engineers, data analysts, and product managers to solve high-impact business problems using ML.

● Ensure proper MLOps practices are in place for model versioning, monitoring, retraining, and performance management.

● Keep up-to-date with the latest advancements in AI/ML, and actively evaluate and incorporate LLM capabilities and frameworks into solutions.

● Mentor junior ML engineers and data scientists, and help scale the ML function across the organization.

Required Qualifications:

● 7+ years of hands-on experience in ML/AI, building real-world ML systems at scale.

● Proven experience with classical ML algorithms (e.g., regression, classification,

clustering, ensemble models).

● Deep expertise in modern LLM frameworks (e.g., OpenAI, HuggingFace, LangChain)

and their integration into production workflows.

● Strong experience with Python, and frameworks such as Scikit-learn, TensorFlow,

PyTorch, or equivalent.

● Solid background in statistics and the ability to apply statistical thinking to real-world

problems.

● Experience with data engineering tools and platforms (e.g., Spark, Airflow, SQL,

Pandas, AWS Glue, etc.).

● Familiarity with cloud services (AWS preferred) and containerization tools (Docker,

Kubernetes) is a plus.

● Strong communication and leadership skills, with experience mentoring and guiding

junior team members.

● Self-starter attitude with a bias for action and ability to thrive in fast-paced environments.

● Master’s degree in Machine Learning, Artificial Intelligence, Statistics, or a related

field is preferred.

Preferred Qualifications:

● Experience deploying ML systems in microservices or event-driven architectures.

● Hands-on experience with vector databases, embeddings, and retrieval-augmented

generation (RAG) systems.

● Understanding of Responsible AI principles and practices.

Why Join Us?

● Lead the ML charter in a mission-driven company solving real-world challenges.

● Work on cutting-edge LLM use cases and platformize ML capabilities for scale.

● Collaborate with a passionate and technically strong team in a high-impact environment.

● Competitive compensation, flexible working model, and ample growth opportunities.

• Work in collaboration with the application team and integration team to design, create, and maintain optimal data pipeline architecture and data structures for Data Lake/Data Warehouse.
• Work with stakeholders including the Sales, Product, and Customer Support teams to assist with data-related technical issues and support their data analytics needs.
• Assemble large, complex data sets from third-party vendors to meet business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Elasticsearch, MongoDB, and AWS technology.
• Streamline existing and introduce enhanced reporting and analysis solutions that leverage complex data sources derived from multiple internal systems.

• 5+ years of experience in a Data Engineer role.
• Proficiency in Linux.
• Must have SQL knowledge and experience working with relational databases, query authoring (SQL) as well as familiarity with databases including Mysql, Mongo, Cassandra, and Athena.
• Must have experience with Python/Scala.
• Must have experience with Big Data technologies like Apache Spark.
• Must have experience with Apache Airflow.
• Experience with data pipeline and ETL tools like AWS Glue.
• Experience working with AWS cloud services: EC2, S3, RDS, Redshift.

Responsibilities:

Collaborate with product managers and other stakeholders to understand business requirements and translate them into technical specifications.

Design, develop, and maintain high-quality software solutions, ensuring scalability, performance, and security.

Write clean and efficient code using best practices, and conduct code reviews to ensure code quality and adherence to coding standards.

Participate in architectural discussions and propose technical solutions that align with business objectives.

Collaborate with cross-functional teams to integrate software components and troubleshoot issues.

Conduct comprehensive testing of software applications, including unit testing, integration testing, and automated testing.

Identify and resolve technical issues, bugs, and performance bottlenecks.

Stay updated with the latest industry trends, technologies, and best practices, and share knowledge with the team.

Mentor and guide junior engineers, fostering a culture of continuous learning and growth.

Requirements:

Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.

Minimum of 4 years of proven experience as a software engineer, with a focus on backend development.

Strong proficiency in programming languages such as Java, Python, or C++.

Extensive experience with web application development frameworks such as Spring, Django, or Flask.

Solid understanding of database systems (SQL and NoSQL) and proficiency in writing complex queries.

Experience with cloud platforms such as AWS, Azure, or Google Cloud.

Strong knowledge of software engineering principles, design patterns, and best practices.

Familiarity with Agile methodologies and experience working in an Agile/Scrum environment.

Excellent problem-solving skills and ability to work effectively in a fast-paced, collaborative environment.

Strong communication and interpersonal skills, with the ability to effectively communicate complex technical concepts.

Benefits:

Competitive salary and comprehensive benefits package.

Opportunities for professional growth and career advancement.

Collaborative and inclusive work environment.

Cutting-edge technology stack and access to the latest tools and resources.

Chance to work on impactful projects and shape the future of the lending industry.

upcred.ai is an equal-opportunity employer. We value diversity and encourage individuals from all backgrounds to apply.

Hiring for Salesforce Commerce Cloud Developer (SFCC) at Appcino Technologies.

• Lead the effort to design, build and configure applications, acting as the primary point of contact.
• On need basis design, build and configure applications to meet up business process and application requirements.
• SFRA, Demandware, site genesis must have worked upon.
• Lead large-scale eCommerce implementations, utilizing Salesforce Commerce Cloud B2C, providing both oversight and hands on contributions to the software design, development, and integration
• Independently lead the estimation effort for a project
• Participate in the development of conceptual and logical architectures
• Design, develop and maintain application architectures that support client’s business requirements
• Resolve integration and interfacing issues between various back-end systems
• Optimize application performance and scalability

Requirements

• Minimum 3 to 7 Years of experience in software industry are required.
• Experience in Salesforce Lightning B2C Commerce
• Experience in Apex, Salesforce Lightning components, Force.com
• Strong E-commerce platform development is preferred
• Good experience at applying clean code best practices and good debugging skills
• Good understanding of Salesforce security model, Communities, and best practices

• Leveraging your deep knowledge to provide technical leadership to take projects from zero to completion
• Architecting, building and maintaining scalable data pipelines and accessing patterns related to permissions and security
• Researching, evaluating and utilising new technologies/tools/frameworks centred around high-volume data processing
• Involving in building and deploying large scale data processing pipelines in a production environment
• Working with data scientists and other engineers to develop data pipelines for model development and productization
• Identifying gaps and implementing solutions for data security, quality and automation of processes
• Providing inputs on right tool options and model designs for use cases
• Identifying gaps and implementing solutions for data security, quality and automation of processes
• Designing scalable implementations of the models developed by our Data Scientists

Desired Candidate Profile

• 3+ years strong programming experience in PySpark and Python
• Knowledge in Python, SQL, Spark (Pyspark)
• Exposure to AWS/ Azure cloud tools and services like S3 Athena, Apache Nifi, Apache Airflow
• Analytical and problem-solving skills
• Knowledge in Scrum & code sharing Tech: Git, Jira
• Experience related to processing frameworks such as Spark, Spark Streaming, Hive, Sqoop, Kafka etc
• Deep understanding of measuring and ensuring data quality at scale and the required tooling to monitor and optimise the performance of our data pipelines
• Experience building data pipelines and data-centric applications using distributed storage platforms and shipping data production pipelines sourcing data from a diverse array of sources