Inside Sales Representative - IT

Role Overview

We are looking for a highly skilled and intellectually curious Senior Data Scientist with 7+ years of experience in applying advanced machine learning and AI techniques to solve complex business problems. The ideal candidate will have deep expertise in Classical Machine Learning, Deep Learning, Natural Language Processing (NLP), and Generative AI (GenAI), along with strong hands-on coding skills and a proven track record of delivering impactful data science solutions. This role requires a blend of technical excellence, business acumen, and collaborative mindset.

Key Responsibilities

• Design, develop, and deploy ML models using classical algorithms (e.g., regression, decision trees, ensemble methods) and deep learning architectures (CNNs, RNNs, Transformers).
• Build NLP solutions for tasks such as text classification, entity recognition, summarization, and conversational AI.
• Develop and fine-tune GenAI models for use cases like content generation, code synthesis, and personalization.
• Architect and implement Retrieval-Augmented Generation (RAG) systems for enhanced contextual AI applications.
• Collaborate with data engineers to build scalable data pipelines and feature stores.
• Perform advanced feature engineering and selection to improve model accuracy and robustness.
• Work with large-scale structured and unstructured datasets using distributed computing frameworks.
• Translate business problems into data science solutions and communicate findings to stakeholders.
• Present insights and recommendations through compelling storytelling and visualization.
• Mentor junior data scientists and contribute to internal knowledge sharing and innovation.

Required Qualifications

• 7+ years of experience in data science, machine learning, and AI.
• Strong academic background in Computer Science, Statistics, Mathematics, or related field (Master’s or PhD preferred).
• Proficiency in Python, SQL, and ML libraries (scikit-learn, TensorFlow, PyTorch, Hugging Face).
• Experience with NLP and GenAI tools (e.g., Azure AI Foundry, Azure AI studio, GPT, LLaMA, LangChain).
• Hands-on experience with Retrieval-Augmented Generation (RAG) systems and vector databases.
• Familiarity with cloud platforms (Azure preferred, AWS/GCP acceptable) and MLOps tools (MLflow, Airflow, Kubeflow).
• Solid understanding of data structures, algorithms, and software engineering principles.
• Experience with Aure, Azure Copilot Studio, Azure Cognitive Services
• Experience with Azure AI Foundry would be a strong added advantage

Preferred Skills

• Exposure to LLM fine-tuning, prompt engineering, and GenAI safety frameworks.
• Experience in domains such as finance, healthcare, retail, or enterprise SaaS.
• Contributions to open-source projects, publications, or patents in AI/ML.

Soft Skills

• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder engagement abilities.
• Ability to work independently and collaboratively in cross-functional teams.
• Passion for continuous learning and innovation.

 Job Description For Database Engineer

Job Title: Database Engineer(MySQL)

Company: Mydbops 

About Us:

As a seasoned industry leader for 8 years in open-source database management, we specialise in providing unparalleled solutions and services for MySQL, MariaDB, MongoDB, PostgreSQL, TiDB, Cassandra, and more. At Mydbops, we are committed to providing exceptional service and building lasting relationships with our customers. Mydbops takes pride in being a PCI DSS-certified and ISO-certified company, reflecting our unwavering commitment to maintaining the highest standards of security and operational excellence.

Role Overview:

You will work in a fast-paced environment where we are responsible for the most critical systems. Our external teams ( Customers ) count on us to keep their MySQL database running and we are vital to the success of their business. You will troubleshoot and resolve customer issues related to the DB system's availability and performance.  You will develop relationships with customers, comprehend and fulfil their needs, and maintain their satisfaction through regular communication and engagement with their environments.

Responsibility :

• The major focus is on handling all the alerts in MDS MySQL.
• Optimising the complex SQL Queries.
• On-Demand Query Optimization.
• Monthly Query optimization assigned ( based on customer list ).
• Get into Client calls on Performance issues and other tasks.
• Reaching the DBE-2 and DBRE's for escalations.
• Assisting and mentoring the ADBEs.
• Efficient troubleshooting using MySQL MDS Internal tools 
• Writing the technical and process documents.
• Managing the client-based operations documents to ease scheduled & repeated tasks for the database engineering team.

Skills Required :

• Teamwork in a fast-paced environment.
• Alarm resolution expert
• Good in SQL language.
• Linux commands for day-to-day operations.
• Kernel tuning and Linux performance tools
• Expertise in MySQL backup tools
• mysqldump
• mydumper/myloader
• Xtrabackup.
• mariabackup
• Knowledge on AWS basic operations
• log collections
• S3 Push
• AWS Workspace
• Deep Skills in query optimization, index tuning and implementing the database features for SQL optimisation.
• Polite, friendly and professional; this position requires significant customer interaction and teamwork.
• Process-oriented and teamwork play a pivotal role.
• Excellent and strong written and spoken English Communication Skills.
• Strong work ethic and accepts feedback from others.
• Strong understanding of MySQL architecture, storage engines (InnoDB, MyISAM), and replication (Binlog Based And  GTID).
• Good understanding of database security practices (users, roles, encryption, authentication mechanisms).
• Strong problem-solving and troubleshooting skills.
• Experience with monitoring tools such as PMM (Percona Monitoring and Management), Prometheus, Grafana

Good to Have (Optional but Preferred): Experience with AWS RDS/Aurora MySQL.

Why Join Us:

• Opportunity to work in a dynamic and growing industry.
• Learning and development opportunities to enhance your career.
• A collaborative work environment with a supportive team.

Job Details:

• Job Type: Full-time opportunity 
• Work Days - 6 days
• Work time: Rotational shift
• Mode of Employment - Work From Home

Key Responsibilities:

• Develop, maintain, and optimize data pipelines using DBT and SQL.
• Collaborate with data analysts and business teams to build scalable data models.
• Implement data transformations, testing, and documentation within the DBT framework.
• Work with Snowflake for data warehousing tasks, including data ingestion, query optimization, and performance tuning.
• Use Python (preferred) for automation, scripting, and additional data processing as needed.

Required Skills:

• 4–6 years of experience in data engineering or related roles.
• Strong hands-on expertise with DBT and advanced SQL.
• Experience working with modern data warehouses, preferably Snowflake.
• Knowledge of Python for data manipulation and workflow automation (preferred but not mandatory).
• Good understanding of data modeling concepts, ETL/ELT processes, and best practices.

Experience: 2+ Years

Key Skills:

• Programming Languages: C# or VB.NET
• Server-Side Technologies: ASP.NET / MVC
• Front-End Technologies: Html5, ES5/ES6/ JavaScript, CSS, jQuery, Bootstrap, Ajax, Web Sockets
• Database: SQL Server

🚀 Hiring: SAP Vistex Consultant

📍 Locations: Pune | Mumbai | Bangalore | Gandhinagar

🧠 Experience: 6+ years in SAP Vistex

🏢 Company: Synexc (Hiring for Capgemini)

✅ Requirements:

• Minimum 6 years of hands-on experience in SAP Vistex
• Expertise in Incentive Management, Rebates, Chargebacks, and Claims Processing
• Strong integration experience with SAP SD/MM
• Should have done at least 1 full-cycle implementation
• Good understanding of Vistex modules like Deal Management, Pricing, and Contract Setup
• Support & Enhancement project experience preferred
• Excellent communication skills and ability to interact with clients

• Strong understanding of ServiceNow platform architecture,applications and modules
• Experience with integrations between ServiceNow and other
  tools/systems
• Proficient in all phases of the Application Development
  lifecycle with experience in an agile environment
• Excellent verbal and written communication skills, with
  experience interacting with clients at multiple levels
• ServiceNow certifications are preferred
• Experience with Knowledge Base platforms, ideally
  ServiceNow Knowledge Management application is a plus

• Understanding of sourcing through databases and social media, specially LinkedIn.
• Headhunting- identifying and approaching suitable candidates who may already be in work
• Craft recruiting emails to attract passive candidates
• Knowledge of employer branding techniques.

• Creating recruiting strategies to attract candidates
• Sales/Customer service skills to create and post job advertisements on social media, website, newspapers etc.

• Using sales, business development, marketing techniques and networking to attract business from client companies
• Evaluate resumes and applications and matching them with vacancies at client companies.
• Collaborate with clients to identify future hiring needs

• Experience using applicant tracking and recruitment marketing software.
• Assessing, screening applications and resumes
• Interview candidates (via phone, video and in-person)
• Preparing CVs and correspondence to forward to clients, regarding suitable applicants.
• Requesting references and checking the suitability of applicants before submitting their details to the client
• Organising interviews for candidates as requested by the client, and finally creating a shortlist of candidates for the clients.
• Send job offer emails and answer queries about responsibilities, compensation and benefits
• Negotiating salary and other arrangements with client and candidate.
• Offering advice to both clients and candidates on pay rates, agreements, training and career progression
• Building long term relationships with clients and candidates.
• Reviewing recruitment policies to ensure effectiveness of selection techniques and recruitment programmes

• Years of Relevant Experience- 5+ Years of proven experience in recruiting.
• Education & Work experience** - Relevant degree in HR Management. Additional HR trainings will be a plus. Experienced in sourcing techniques.
• Software and Applications- Tech savvy with outstanding knowledge of MS Office; HRIS / HRMS (e.g. Zoho), ATS, Ticketing System.

• Excellent communication (verbal & written), interpersonal and consulting skills
• Sound judgement to recognise and strive to meet client's hiring needs.
• Ability to meet targets and deadlines.
• Confident, pleasant personality, ambitious, self motivated, organised with leadership and management skills.

Responsibilities:

• Your primary responsibility as a senior backend engineer will be to architect and develop a scalable and robust micro-services backend with strong Java, Spring(Boot), SQL, AWS/GCP.
• Experience being part of a software development team in an Agile/Lean/Continuous Delivery environment
• Be a key performer in a high-performance product engineering team

Qualifications:

• 2 to 4 years of overall IT experience. Most of this experience in Java (Core Java, Spring boot, Java collections, Java Multithreading)
• Should have experience designing database schemas - SQL and NoSQL.
• Exposure to frameworks like Spring, Hibernate, Play would be a plus
• Experience with microservices architecture would be beneficial.
• Working knowledge of any public cloud (AWS, GCP or Azure)
• Broad understanding and experience of real-time analytics, NoSQL data stores, data modeling and data management, analytical tools, languages, or libraries
• Knowledge of container tech like Docker, Kubernetes would be a plus.
• Bachelor's Degree in Computer Science or Engineering.