Assistant Director

Job Summary:

We are looking for a skilled Data Scientist with strong expertise in demand forecasting, predictive analytics, and emerging Generative AI technologies. The ideal candidate should have hands-on experience in machine learning, deep learning, NLP, and LLM-based solutions, along with proficiency in Python, SQL, Power BI, and advanced Excel. This role involves building scalable forecasting models and leveraging AI/GenAI to deliver actionable business insights.

Key Responsibilities:

• Develop and deploy demand forecasting models using machine learning and deep learning techniques.
• Analyze historical data to identify trends, seasonality, and demand patterns.
• Build predictive models to improve supply chain and inventory planning.
• Work with large datasets using Python and SQL for data extraction, transformation, and analysis.
• Design dashboards and reports using Power BI for business stakeholders.
• Utilize advanced Excel techniques (Pivot Tables, Power Query, formulas) for analysis and reporting.
• Build and integrate NLP-based solutions for text data analysis and insights.
• Develop and implement LLM-based applications using Generative AI frameworks.
• Design and deploy RAG (Retrieval-Augmented Generation) pipelines for intelligent data retrieval and response generation.
• Collaborate with cross-functional teams (operations, finance, product) to align forecasting and AI solutions.
• Continuously improve model accuracy and performance through experimentation and optimization.

Required Skills:

• Strong proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).
• Solid understanding of machine learning & deep learning algorithms.
• Experience in demand forecasting / time-series analysis (ARIMA, Prophet, LSTM, etc.).
• Hands-on experience with NLP techniques and libraries (NLTK, SpaCy, Transformers).
• Experience working with LLMs and Generative AI frameworks (OpenAI, Hugging Face, LangChain, etc.).
• Strong understanding of RAG architectures and vector databases (FAISS, Pinecone, etc.).
• Advanced knowledge of SQL for data manipulation.
• Hands-on experience with Power BI for visualization and reporting.
• Expertise in advanced Excel (Power Query, dashboards, data modeling).
• Strong analytical and problem-solving skills. 

Preferred Qualifications:

• Experience in supply chain, logistics, or e-commerce forecasting.
• Knowledge of cloud platforms (AWS, Azure, or GCP).
• Familiarity with data pipelines and ETL processes.
• Understanding of business metrics and KPIs related to demand planning.

Company Name: Synise Technologies Limited 

Location: Mundhwa Pune 

Experience: 6+

Qualification: B.E. Mechanical 

Gender Preference: Male

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Senior SAP ABAP Consultant – Job Description

Position Overview:

We are looking for a highly skilled Senior SAP ABAP Consultant with extensive experience in SAP development, customization, and integration. The ideal candidate should have hands-on experience in ABAP programming, performance optimization, and knowledge of modern SAP technologies like OData, CDS Views, and Fiori.

Key Responsibilities:

• Develop, enhance, and support SAP applications using ABAP, ABAP OO, ALV, SmartForms, SAPScripts, BAPIs, BADIs, User Exits, and Enhancement Frameworks.

• Work on ALE/IDocs, RFCs, and other integration technologies for seamless communication between SAP and external systems.

• Develop and maintain SAP reports, interfaces, conversions, enhancements, and forms (RICEF objects).

• Optimize performance of SAP programs by analyzing SQL queries, improving database access, and implementing best practices.

• Work with SAP Fiori/UI5 and OData services to develop modern SAP applications.

• Implement SAP Workflow solutions to automate business processes.

• Debug and troubleshoot issues in standard and custom SAP programs.

• Collaborate with functional teams (SD, MM, FI, PP, etc.) to understand business requirements and translate them into technical solutions.

• Guide and mentor junior ABAP developers.

• Participate in SAP upgrades, migrations, and system enhancements.

• Ensure adherence to SAP best practices, coding standards, and security guidelines.

Required Skills & Qualifications:

• 6+ years of experience in SAP ABAP development.

• Strong expertise in RICEF (Reports, Interfaces, Conversions, Enhancements, Forms).

• Experience with OData, CDS Views, AMDP, and SAP Fiori/UI5 is a plus.

• Good knowledge of ABAP on HANA and performance tuning techniques.

• Experience with S/4HANA development is highly desirable.

• Strong debugging and problem-solving skills.

• Excellent communication and teamwork skills.

• Bachelor's degree in Computer Science, Information Technology, or a related field.

Preferred Skills:

• Experience in SAP BTP (Business Technology Platform) and cloud-based SAP solutions.

• Exposure to SAP integration tools like SAP PI/PO, SAP CPI.

• Understanding of Agile methodologies and Devlops practices.

What You Get:

• 💰 Salary: 6 - 8 LPA  

• 📈 Growth opportunities

About Vijay Sales

Vijay Sales is one of India’s leading electronics retail brands with 160+ stores nationwide and a fast-growing digital presence. We are on a mission to build the most advanced data-driven retail intelligence ecosystem—using AI, predictive analytics, LLMs, and real-time automation to transform customer experience, supply chain, and omnichannel operations.

Role Overview

We are looking for a highly capable AI Engineer who is passionate about building production-grade AI systems, designing scalable ML architecture, and working with cutting-edge AI/ML tools. This role involves hands-on work with Databricks, SQL, PySpark, modern LLM/GenAI frameworks, and full lifecycle ML system design.

Key Responsibilities

Machine Learning & AI Development

• Build, train, and optimize ML models for forecasting, recommendation, personalization, churn prediction, inventory optimization, anomaly detection, and pricing intelligence.
• Develop GenAI solutions using modern LLM frameworks (e.g., LangChain, LlamaIndex, HuggingFace Transformers).
• Explore and implement RAG (Retrieval Augmented Generation) pipelines for product search, customer assistance, and support automation.
• Fine-tune LLMs on company-specific product and sales datasets (using QLoRA, PEFT, and Transformers).
• Develop scalable feature engineering pipelines leveraging Delta Lake and Databricks Feature Store.

Databricks / Data Engineering

• Build end-to-end ML workflows on Databricks using PySpark, MLflow, Unity Catalog, Delta Live Tables.
• Optimize Databricks clusters for cost, speed, and stability.
• Maintain reusable notebooks and parameterized pipelines for model ingestion, validation, and deployment.
• Use MLflow for tracking experiments, model registry, and lifecycle management.

Data Handling & SQL

• Write advanced SQL for multi-source data exploration, aggregation, and anomaly detection.
• Work on large, complex datasets from ERP, POS, CRM, Website, and Supply Chain systems.
• Automate ingestion of streaming and batch data into Databricks pipelines.

Deployment & MLOps

• Deploy ML models using REST APIs, Databricks Model Serving, Docker, or cloud-native endpoints.
• Build CI/CD pipelines for ML using GitHub Actions, Azure DevOps, or Databricks Workflows.
• Implement model monitoring for drift, accuracy decay, and real-time alerts.
• Maintain GPU/CPU environments for training workflows.
• 
  

Must-Have Technical Skills

Core AI/ML

• Strong fundamentals in machine learning: regression, classification, time-series forecasting, clustering.
• Experience in deep learning using PyTorch or TensorFlow/Keras.
• Expertise in LLMs, embeddings, vector databases, and GenAI architecture.
• Hands-on experience with HuggingFace, embedding models, and RAG.

Databricks & Big Data

• Hands-on experience with Databricks (PySpark, SQL, Delta Lake, MLflow, Feature Store).
• Strong understanding of Spark execution, partitioning, and optimization.

Programming

• Strong proficiency in Python.
• Experience writing high-performance SQL with window functions, CTEs, and analytical queries.
• Knowledge of Git, CI/CD, REST APIs, and Docker.

MLOps & Production Engineering

• Experience deploying models to production and monitoring them.
• Familiarity with tools like MLflow, Weights & Biases, or SageMaker equivalents.
• Experience in building automated training pipelines and handling model drift/feedback loops.

Preferred Domain Experience

• Retail/e-commerce analytics
• Demand forecasting
• Inventory optimization
• Customer segmentation & personalization
• Price elasticity and competitive pricing

• Responsibilities:
• Conduct thorough research on industry-related topics and stay up to date with the latest trends and best practices. 
• Develop and implement content strategies to drive brand awareness, lead generation, and customer engagement. 
• Collaborate with cross-functional teams, including marketing, design, and development, to ensure content alignment with brand guidelines and business objectives. 
• Optimize content for search engines (SEO) to improve organic visibility and drive traffic to our website.

We are seeking a highly motivated and experienced Senior Sales Executive & Team Leader to lead a team of real estate agents and drive business growth through sales strategy, market expertise, and team development. The ideal candidate will be a dynamic leader with a strong background in real estate sales, client relationship management, and team performance optimization

The Department of Finance and Accounting oversees the financial operation of the company and provides a wide range of services such as financial information and reporting, set-up and monitor internal controls, implement financial policies and procedures, billing and record keeping.