Business Development Manager

Criteria

Mandatory

Strong Dremio / Lakehouse Data Architect profile

Mandatory (Experience 1) – 5+ years of experience in Data Architecture / Data Engineering, with minimum 3+ years hands-on in Dremio

Mandatory (Experience 2) – Strong expertise in SQL optimization, data modeling, query performance tuning, and designing analytical schemas for large-scale systems

Mandatory (Technical Skills 1) – Deep experience with cloud object storage (S3 / ADLS / GCS) and file formats such as Parquet, Delta, Iceberg along with distributed query planning concepts

Mandatory (Technical Skills 2) – Hands-on experience integrating data via APIs, JDBC, Delta/Parquet, object storage, and coordinating with data engineering pipelines (Airflow, DBT, Kafka, Spark, etc.)

Mandatory (Architecture) – Proven experience designing and implementing lakehouse architecture including ingestion, curation, semantic modeling, reflections/caching optimization, and enabling governed analytics

Mandatory (Governance) – Strong understanding of data governance, lineage, RBAC-based access control, and enterprise security best practices

Mandatory (Stakeholder Management) – Excellent communication skills with ability to work closely with BI, data science, and engineering teams; strong documentation discipline

Mandatory (Company) – Candidates must come from enterprise data modernization, cloud-native, or analytics-driven companies

Preferred

Job Details

- Job Title: Lead II - Software Engineering- AI, NLP, Python, Data science

- Industry: Technology

- Domain - Information technology (IT)

- Experience Required: 7-9 years

- Employment Type: Full Time

- Job Location: Bangalore

- CTC Range: Best in Industry

Job Description:

Role Proficiency:

Act creatively to develop applications by selecting appropriate technical options optimizing application development maintenance and performance by employing design patterns and reusing proven solutions. Account for others' developmental activities; assisting Project Manager in day-to-day project execution.

Additional Comments:

Mandatory Skills Data Science Skill to Evaluate AI, Gen AI, RAG, Data Science

Experience 8 to 10 Years

Location Bengaluru

Job Description

Job Title AI Engineer Mandatory Skills Artificial Intelligence, Natural Language Processing, python, data science Position AI Engineer – LLM & RAG Specialization Company Name: Sony India Software Centre About the role: We are seeking a highly skilled AI Engineer with 8-10 years of experience to join our innovation-driven team. This role focuses on the design, development, and deployment of advanced enterprise-scale Large Language Models (eLLM) and Retrieval Augmented Generation (RAG) solutions. You will work on end-to-end AI pipelines, from data processing to cloud deployment, delivering impactful solutions that enhance Sony’s products and services. Key Responsibilities: Design, implement, and optimize LLM-powered applications, ensuring high performance and scalability for enterprise use cases. Develop and maintain RAG pipelines, including vector database integration (e.g., Pinecone, Weaviate, FAISS) and embedding model optimization. Deploy, monitor, and maintain AI/ML models in production, ensuring reliability, security, and compliance. Collaborate with product, research, and engineering teams to integrate AI solutions into existing applications and workflows. Research and evaluate the latest LLM and AI advancements, recommending tools and architectures for continuous improvement. Preprocess, clean, and engineer features from large datasets to improve model accuracy and efficiency. Conduct code reviews and enforce AI/ML engineering best practices. Document architecture, pipelines, and results; present findings to both technical and business stakeholders. Job Description: 8-10 years of professional experience in AI/ML engineering, with at least 4+ years in LLM development and deployment. Proven expertise in RAG architectures, vector databases, and embedding models. Strong proficiency in Python; familiarity with Java, R, or other relevant languages is a plus. Experience with AI/ML frameworks (PyTorch, TensorFlow, etc.) and relevant deployment tools. Hands-on experience with cloud-based AI platforms such as AWS SageMaker, AWS Q Business, AWS Bedrock or Azure Machine Learning. Experience in designing, developing, and deploying Agentic AI systems, with a focus on creating autonomous agents that can reason, plan, and execute tasks to achieve specific goals. Understanding of security concepts in AI systems, including vulnerabilities and mitigation strategies. Solid knowledge of data processing, feature engineering, and working with large-scale datasets. Experience in designing and implementing AI-native applications and agentic workflows using the Model Context Protocol (MCP) is nice to have. Strong problem-solving skills, analytical thinking, and attention to detail. Excellent communication skills with the ability to explain complex AI concepts to diverse audiences. Day-to-day responsibilities: Design and deploy AI-driven solutions to address specific security challenges, such as threat detection, vulnerability prioritization, and security automation. Optimize LLM-based models for various security use cases, including chatbot development for security awareness or automated incident response. Implement and manage RAG pipelines for enhanced LLM performance. Integrate AI models with existing security tools, including Endpoint Detection and Response (EDR), Threat and Vulnerability Management (TVM) platforms, and Data Science/Analytics platforms. This will involve working with APIs and understanding data flows. Develop and implement metrics to evaluate the performance of AI models. Monitor deployed models for accuracy and performance and retrain as needed. Adhere to security best practices and ensure that all AI solutions are developed and deployed securely. Consider data privacy and compliance requirements. Work closely with other team members to understand security requirements and translate them into AI-driven solutions. Communicate effectively with stakeholders, including senior management, to present project updates and findings. Stay up to date with the latest advancements in AI/ML and security and identify opportunities to leverage new technologies to improve our security posture. Maintain thorough documentation of AI models, code, and processes. What We Offer Opportunity to work on cutting-edge LLM and RAG projects with global impact. A collaborative environment fostering innovation, research, and skill growth. Competitive salary, comprehensive benefits, and flexible work arrangements. The chance to shape AI-powered features in Sony’s next-generation products. Be able to function in an environment where the team is virtual and geographically dispersed

Education Qualification: Graduate

Skills: AI, NLP, Python, Data science

Must-Haves

Skills

AI, NLP, Python, Data science

NP: Immediate – 30 Days

Assist in content creation for Instagram, Facebook, and other platforms.

Help plan and execute social media campaigns.

Monitor and analyze engagement metrics.

Collaborate with the marketing team on content ideas.

Engage with our community by responding to comments and messages.

Assist with influencer outreach.

Requirements:

Passion for social media and skincare.

Basic knowledge of Instagram, Facebook, TikTok.

Strong communication and organizational skills.

Creativity and a keen eye for design.

Previous experience in social media management is a bonus.

Internship Duration: 3 months with potential for full-time hire.

Total Experience: 3 to 15 Years

Notice period: Immediate to 30 Days.

Responsibilities:

Implementation of Manufacturing, Costing, Planning Central, Demand Management, Sales and Operation Planning in Oracle ERP.

Drive requirement gathering, Fit-Gap, Solution Design, Build, CRP, SIT, UAT, Cutover/Go-Live and postproduction support for above applications.

Perform configuration/Application setups.

capturing solution design, configuration, documentation, and post-production support.

Responsible for roll out of all Oracle modules for new State operations.

Training the new users and preparation of user manuals

LogiNext is a cloud-based logistics and field service optimization company with core expertise in automated delivery scheduling, route optimization, live tracking of resources, and delivery validation. Using advanced machine learning algorithms, LogiNext enables its clients with omnichannel capabilities creating a seamless delivery experience for all the customers. Using automated delivery automation and dispatch for increased efficiency, route optimization to avoid local traffic hassles, live tracking of resources for operative responsiveness, and delivery validation for complete transparency, LogiNext helps companies process same-day and even two-hour deliveries. 

LogiNext has more than 200 enterprise clients including many satisfied retail and e-commerce players in North America, Middle-East, South and Southeast Asia. It has also been heralded by multiple platforms as being one of the fastest growing SaaS companies in the world.

The true growth hackers, who paved the way for this success are the people working exceptionally hard and adding value to our organisation. Our brand ambassadors - that's how we address our people, bring unique values, discipline and problem-solving skills to nurture the innovative and entrepreneurial work culture at LogiNext. Passion, versatility, expertise and a hunger for success is the Mantra chanted by every Logi-Nexter!

About the Role: 

LogiNext is looking for a dynamic and competent AVP in Talent Acquisition to design and implement recruiting strategies. Your responsibilities include monitoring recruitment procedures, from sourcing to hiring, managing a team of recruiters and managing recruitment vendors.  The work at LogiNext is very fast paced, agile, and hence, you must be able to multitask to deal smoothly with competing levels of priority. Your focus will be to help the organization to become a customer centric organization and achieve its strategic growth objectives through a resource realignment and top grading the talent.

Responsibilities  

• Works with VP – Human Capital to identify and establish medium to short term strategic priorities and targets, in line with LogiNext’s policies and guidelines and ensures their successful execution
• Implements initiatives that enables maximum output that fully contributes to the delivery of department goals
• Acts as primary point of contact for recruitment/acquisition matters to line managers across LogiNext and provides professional support and advice 
• Oversees the identification of talent pool; guides Recruitment Specialists on the most appropriate source in order to fill positions at the earliest time and with the least cost
• Screens application forms and shortlisted applicants for senior levels 
• Builds and maintains relationships with recruitment sources and /or services providers (Universities, Recruitment Sites, National and International Search & Selection Agencies) in order to attract the most ideal candidates

Requirements

• Bachelor’s or Master’s Degree in Business Administration or Human Resources or related field
• 10 to 12 years of relevant experience in talent acquisition role in a technology company
• Knowledge of SaaS related recruitment strategies 
• Good working knowledge of people assessment including structured and behavioural interviewing and facilitation techniques
• Working knowledge of psychometric testing tools and assessment design
• Enhancing department and organization reputation by accepting ownership for accomplishing new and different requests; exploring opportunities to add value to job accomplishments

Mobile App Development:-

We are looking for 2 - 3 years of overall mobile app development experience out of which experience of at least 2+ years in developing native and hybrid mobile applications Should have handled end-to-end designing, development, testing, and deployment on any native Android/iOS platform.

Hands-on experience with native development will add advantage, Angular 6+ Excellent technical knowledge on HTML5, CSS3, JQuery, JQuery Mobile, AJAX, XML, JSON, Java, Bootstrap, PhoneGap, Angular JS.

Should have working experience in consuming Web Service and REST API.

Experience in Business Object Model implementation data integration with JSON/XML Designing and implementing different analytics interfaces such as charts, graphs etc.

Should have knowledge of App signing, publishing to Play-store and iTunes Well versed with code management like GIT, SVN Should be a team player

Roles and Responsibilities:-

• Develop hybrid mobile applications & deliver across the entire app life cycle concept,
• design, build, deploy, test, release to app stores.
• Work directly with the tech team to conceptualize, build, test, and realize products.
• Test the app on devices and Deploy it on Apple Store & Google Play Store.
• Standardizing the platform and in some cases apps to deliver across multiple brands with minimal duplication of effort and Optimizing performance for the apps.