Client Relationship Manager

About the Role:

We are seeking a talented Data Engineer to join our team and play a pivotal role in transforming raw data into valuable insights. As a Data Engineer, you will design, develop, and maintain robust data pipelines and infrastructure to support our organization's analytics and decision-making processes.

Responsibilities:

• Data Pipeline Development: Build and maintain scalable data pipelines to extract, transform, and load (ETL) data from various sources (e.g., databases, APIs, files) into data warehouses or data lakes.
• Data Infrastructure: Design, implement, and manage data infrastructure components, including data warehouses, data lakes, and data marts.
• Data Quality: Ensure data quality by implementing data validation, cleansing, and standardization processes.
• Team Management: Able to handle team.
• Performance Optimization: Optimize data pipelines and infrastructure for performance and efficiency.
• Collaboration: Collaborate with data analysts, scientists, and business stakeholders to understand their data needs and translate them into technical requirements.
• Tool and Technology Selection: Evaluate and select appropriate data engineering tools and technologies (e.g., SQL, Python, Spark, Hadoop, cloud platforms).
• Documentation: Create and maintain clear and comprehensive documentation for data pipelines, infrastructure, and processes.

 Skills:

• Strong proficiency in SQL and at least one programming language (e.g., Python, Java).
• Experience with data warehousing and data lake technologies (e.g., Snowflake, AWS Redshift, Databricks).
• Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and cloud-based data services.
• Understanding of data modeling and data architecture concepts.
• Experience with ETL/ELT tools and frameworks.
• Excellent problem-solving and analytical skills.
• Ability to work independently and as part of a team.

Preferred Qualifications:

• Experience with real-time data processing and streaming technologies (e.g., Kafka, Flink).
• Knowledge of machine learning and artificial intelligence concepts.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Certification in cloud platforms or data engineering.

Job Description:

Experience: 7 -15 Years

Job Description :

Key responsibilities

As an GEN AI Expert [Min 4 + years of relevant exp on NLP, CV and LLMs], you will be responsible for designing, building, and fine-tuning NLP models and large language model (LLM) agents to solve business challenges. You will play a key role in creating intuitive and efficient model designs that enhance user experiences and business processes. The position demands strong design skills, hands-on coding expertise, advanced proficiency in Python development, specialized knowledge in LLM agent design and development, and exceptional debugging capabilities.

• Model & Agent Design: Conceptualize and design robust NLP solutions and LLM agents tailored to specific business needs, with a focus on user experience, interactivity,   latency, failover and functionality.
• Hands-on Coding: Write,test, and maintain clean, efficient, and scalable code for NLP models and AI agents, with a strong emphasis on Python programming.
• Build high quality multi-modal & multi-agents applications/frameworks
• Knowledge on input/output token utilization, prioritization and consumption w.r.t AI agents
• Performance Monitoring: Monitor, optimize LLM agents, implementing model explainability, handling model drift, and ensuring robustness.
• Research Implementation:Ability to read, comprehend, and implement AI Agent research papers into practical solutions. Stay abreast of the latest academic and industry   research to apply cutting-edge methodologies and techniques.
• Debugging & Issue Resolution: Proactively identify, diagnose, and resolve issues related to AI agents, including model inaccuracies, performance bottlenecks, and   system integration problems. Utilize debugging tools and techniques to troubleshoot complex problems in model behavior, data inconsistencies, and deployment errors.
• Innovation and Research:Stay updated with the latest advancements in AI agents technologies,experimenting with new techniques and tools to enhance agent capabilities and performance.
• Continuous Learning: Adaptability to unlearn outdated practices, patterns, technologies and quickly learn and implement new technologies & papers as the ML world evolves. Maintain a proactive approach to staying current with emerging trends and technologies in Agent based solutions (Text & Multi Modal).
• Clear understanding of tool usage and structured outputs in agents
• Clear understanding of speculative decoding and AST-Code RAG
• Clear understanding of Streaming and Sync/Async processing
• Clear understanding of embedding models and their limitations

Tech stack required:

Programming languages: Python

Public Cloud: Azure

Frameworks: Vector Databases such as Milvus, Qdrant/ ChromaDB, or usage of CosmosDB or MongoDB as Vector stores. Knowledge of AI Orchestration, AI evaluation and Observability Tools. Knowledge of Guardrails strategy for LLM. Knowledge on Arize or any other ML/LLM observability tool.

Experience: Experience in building functional platforms using ML, CV, LLM platforms. Experience in evaluating and monitoring AI platforms in production.

• Candidate Should have 5+ Years Of Experience in Core Java
• You will need strong development skills to work on and improve our Scala-based services, and be able to work together with senior teammates to create appropriate architectural design and ensure all aspects are appropriate to meet the business need.
• Excellent Functional Design and Functional Programming skills (more than 2 years of business experience in Scala and Java projects, respectively)
• Core skills in key supporting technologies and/or frameworks such as Play (AKKA) / Lagom
• Proven experience working in teams in the successful delivery of complex, performant and high quality products
• Excellent spoken and written communication skills
• Experience of SaaS (Software as a Service) environments
• Exposure to RESTful web APIs and a service oriented architecture
• Experience in Linux environments, Shell scripting etc
• Working with XML and JSON including parsing, asserting / matching and extracting
• Experience with Continuous Integration environments and build tools, including Terraform, Jenkins, Maven, Gradle and Ant
• Experience with messaging systems such as Apache Kafka, Amazon Kinesis, Amazon SQS and Rabbit MQ
• Experience working on Live platform SDKs such as Twilio, AWS Elemental

Job Description:

• 3 - 4 years of hands-on Python programming & libraries like PyData, Pandas
• Exposure to Mongo DB
• Experience in writing Unit Test cases
• Expertise in writing medium/advanced SQL Database queries
• Strong Verbal/Written communication skills
• Ability to work with onsite counterpart teams

REQUIRED EXPERIENCE AND SKILLS:

Experience:

3-9 Years of experience into C#, .Net & WPF(mandatory).

Technology skills:

Mandatory

 Strong background in Software Development/Engineering

 Good experience of the n-Tier architectures with REST web services (WebAPI would be a plus).

 Hands on experience with .NET 4.5, C#, WPF with MVVM or PRISM and WebAPI or WCF

 Should have worked on SQL Server

 Worked on LINQ and Entity Framework

 Sound Knowledge of SOA Principles.

 Experience with Agile/Scrum Organization.

 Experience with ATDD / TDD (Fitnesse for the ATDD would be a plus)

 Experience with Continuous Integration environments (TeamCity would be a plus)

 Experience with TFS as a source code repository and as a Scrum tool.

 Excellent communication skills with fluent English.

Preferred

 Knowledge on UML, design patterns, design principles such as SOLID / DRY and best coding practices.

 Proven ability and interest in building new application feature which interacts with existing application and infrastructure.

Methodology skills

 Test Driven Development

 Agile-Scrum

 Domain Driven Design

• Actively engage with internal business teams to understand their challenges and deliver robust, data-driven solutions.
• Work alongside global counterparts to solve data-intensive problems using standard analytical frameworks and tools.
• Be encouraged and expected to innovate and be creative in your data analysis, problem-solving, and presentation of solutions.
• Network and collaborate with a broad range of internal business units to define and deliver joint solutions.
• Work alongside customers to leverage cutting-edge technology (machine learning, streaming analytics, and ‘real’ big data) to creatively solve problems and disrupt existing business models.

In this role, we are looking for:

• A problem-solving mindset with the ability to understand business challenges and how to apply your analytics expertise to solve them.
• The unique person who can present complex mathematical solutions in a simple manner that most will understand, including customers.
• An individual excited by innovation and new technology and eager to finds ways to employ these innovations in practice.
• A team mentality, empowered by the ability to work with a diverse set of individuals.

• A Bachelor’s degree in Data Science, Math, Statistics, Computer Science or related field with an emphasis on analytics.
• 5+ Years professional experience in a data scientist/analyst role or similar.
• Proficiency in your statistics/analytics/visualization tool of choice, but preferably in the Microsoft Azure Suite, including Azure ML Studio and PowerBI as well as R, Python, SQL.

• Excellent communication, organizational transformation, and leadership skills
• Demonstrated excellence in Data Science, Business Analytics and Engineering