Manager-HRBP

Job Description

We are looking for a Data Scientist with 3–5 years of experience in data analysis, statistical modeling, and machine learning to drive actionable business insights. This role involves translating complex business problems into analytical solutions, building and evaluating ML models, and communicating insights through compelling data stories. The ideal candidate combines strong statistical foundations with hands-on experience across modern data platforms and cross-functional collaboration.

What will you need to be successful in this role?

Core Data Science Skills

• Strong foundation in statistics, probability, and mathematical modeling

• Expertise in Python for data analysis (NumPy, Pandas, Scikit-learn, SciPy)

• Strong SQL skills for data extraction, transformation, and complex analytical queries

• Experience with exploratory data analysis (EDA) and statistical hypothesis testing

• Proficiency in data visualization tools (Matplotlib, Seaborn, Plotly, Tableau, or Power BI)

• Strong understanding of feature engineering and data preprocessing techniques

• Experience with A/B testing, experimental design, and causal inference

Machine Learning & Analytics

• Strong experience building and deploying ML models (regression, classification, clustering)

• Knowledge of ensemble methods, gradient boosting (XGBoost, LightGBM, CatBoost)

• Understanding of time series analysis and forecasting techniques

• Experience with model evaluation metrics and cross-validation strategies

• Familiarity with dimensionality reduction techniques (PCA, t-SNE, UMAP)

• Understanding of bias-variance tradeoff and model interpretability

• Experience with hyperparameter tuning and model optimization

GenAI & Advanced Analytics

• Working knowledge of LLMs and their application to business problems

• Experience with prompt engineering for analytical tasks

• Understanding of embeddings and semantic similarity for analytics

• Familiarity with NLP techniques (text classification, sentiment analysis, entity,extraction)

• Experience integrating AI/ML models into analytical workflows

Data Platforms & Tools

• Experience with cloud data platforms (Snowflake, Databricks, BigQuery)

• Proficiency in Jupyter notebooks and collaborative development environments

• Familiarity with version control (Git) and collaborative workflows

• Experience working with large datasets and distributed computing (Spark/PySpark)

• Understanding of data warehousing concepts and dimensional modeling

• Experience with cloud platforms (AWS, Azure, or GCP)

Business Acumen & Communication

• Strong ability to translate business problems into analytical frameworks

• Experience presenting complex analytical findings to non-technical stakeholders

• Ability to create compelling data stories and visualizations

• Track record of driving business decisions through data-driven insights

• Experience working with cross-functional teams (Product, Engineering, Business)

• Strong documentation skills for analytical methodologies and findings

Good to have

• Experience with deep learning frameworks (TensorFlow, PyTorch, Keras)

• Knowledge of reinforcement learning and optimization techniques

• Familiarity with graph analytics and network analysis

• Experience with MLOps and model deployment pipelines

• Understanding of model monitoring and performance tracking in production

• Knowledge of AutoML tools and automated feature engineering

• Experience with real-time analytics and streaming data

• Familiarity with causal ML and uplift modeling

• Publications or contributions to data science community

• Kaggle competitions or open-source contributions

• Experience in specific domains (finance, healthcare, e-commerce)

Job Title : AI Engineer / Gen AI Engineer (LLM/NLP)

Location : Remote

Duration : Long-term Contract

Openings : 2

Job Description :

We are looking for two AI Engineers with expertise in Generative AI, LLMs, and NLP. One of them must have a strong Azure background and be well-versed in Azure AI services.

Key Requirements :

• Experience in Generative AI, LLMs, and NLP
• Azure AI Expertise (For one of the roles):
• Azure AI Search
• Azure AI Document Intelligence
• Azure AI Foundry
• Development & deployment of RAG-based chatbots and AI agents using Azure AI
• Programming : Python (Intermediate to Expert Level)

We are seeking a talented AI/ML Engineer with strong hands-on experience in Generative AI and Large Language Models (LLMs) to join our Business Intelligence team. The role involves designing, developing, and deploying advanced AI/ML and GenAI-driven solutions to unlock business insights and enhance data-driven decision-making.

Key Responsibilities:

• Collaborate with business analysts and stakeholders to identify AI/ML and Generative AI use cases.

• Design and implement ML models for predictive analytics, segmentation, anomaly detection, and forecasting.

• Develop and deploy Generative AI solutions using LLMs (GPT, LLaMA, Mistral, etc.).

• Build and maintain Retrieval-Augmented Generation (RAG) pipelines and semantic search systems.

• Work with vector databases (FAISS, Pinecone, ChromaDB) for embedding storage and retrieval.

• Develop end-to-end AI/ML pipelines from data preprocessing to deployment.

• Integrate AI/ML and GenAI solutions into BI dashboards and reporting tools.

• Optimize models for performance, scalability, and reliability.

• Maintain documentation and promote knowledge sharing within the team.

Mandatory Requirements:

• 4+ years of relevant experience as an AI/ML Engineer.

• Hands-on experience in Generative AI and Large Language Models (LLMs) – Mandatory.

• Experience implementing RAG pipelines and prompt engineering techniques.

• Strong programming skills in Python.

• Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn).

• Experience with vector databases (FAISS, Pinecone, ChromaDB).

• Strong understanding of SQL and database systems.

• Experience integrating AI solutions into BI tools (Power BI, Tableau).

• Strong analytical, problem-solving, and communication skills. Good to Have

• Experience with cloud platforms (AWS, Azure, GCP).

• Experience with Docker or Kubernetes.

• Exposure to NLP, computer vision, or deep learning use cases.

• Experience in MLOps and CI/CD pipelines

We are looking for a Techno-Functional Data Architect or Lead Data Engineer to lead and

deliver a large-scale data initiative. The role requires a strong balance of hands-on data

engineering expertise, business understanding, and client & team leadership.

The ideal candidate will act as the primary interface between business stakeholders and

the technical team, ensuring requirements are clearly understood, solutions are well-

designed, and delivery is executed on time and with high quality.

Key Responsibilities

Project & Client Management

 Act as the single point of contact for the client on data-related initiatives

 Understand business requirements and translate them into clear technical

specifications

 Proactively manage risks, dependencies, and change requests

 Present progress updates, data insights, and implementation approaches to

stakeholders

Technical Leadership

 Lead the design and implementation of data engineering solutions, including

ETL/ELT pipelines

 Review and validate data models, transformations, and integration logic

 Ensure best practices in data quality, performance, scalability, and security

 Guide the team on architecture decisions and resolve complex technical challenges

 Participate hands-on when required for critical design or troubleshooting

Team Leadership & Coordination

 Lead and mentor a team of data engineers and analysts

 Allocate tasks, review deliverables, and ensure adherence to timelines and quality

standards

 Support knowledge transfer and documentation activities

Required Skills & Qualifications

Mandatory

 8 – 15 years of experience in Data Engineering / Data Platforms

 Strong experience in ETL/ELT projects and data integration

 Proficiency in SQL and at least one major ETL or data integration tool

 Strong understanding of data warehousing concepts, data modelling, and

transformations

 Proven experience in client-facing roles and stakeholder management

 Experience leading and coordinating technical teams

 Excellent communication and documentation skills

Good to Have

 Experience in the Insurance domain

 Exposure to ODI

Hello ,

Greetings from Talentika !!

we are having a job vacancy for Java Developer Along with the Skills

Java, Microservices, Kubernetes, AWS/Azure, devops background .

Best Regards,

Priya.

Job Description

We are looking for applicant from top schools and product based technology companies who can play a key technical leadership role.

Responsibilities

• Lead the technical direction of the product.
• Document current, intermediate, and future state technical architectures that support the product’s vision and mission.
• Assist product development teams to provide technical leadership and guidance
• Facilitate and collaborate with scrum teams and product owners to create technical architectural documentation as required.
• Responsible for contributing to the technical direction of the product for the next 3-5 years by incorporating best of breed technologies.
• Provide ongoing evaluation of technology solutions and capabilities to ensure appropriate alignment of business objectives.
• Assess options, risks and cost-benefit analyses as they pertain to data architecture, security, and other technology issues.
• Outline technical recommendations and identify technological requirements that support the product roadmap.
• Develop a technical roadmap that maps to the product’s future state.
• Promote technical standards, guidelines, best practices and quality control measures for enabling and implementing software systems.
• Develop a foundational strategy to scale our platform to meet upcoming growth
• Hands-on coding, code reviews, and leadership of the technical team
• Continuous drive to explore, improve, enhance, automate, and optimise systems and tools to best meet evolving business and market needs
• Attention to detail, coupled with ability to think abstractly
• Create prototypes and proof-of-concepts for iterative development
• Keen to learn new technologies and apply the knowledge in production systems
• Take complete ownership of projects and their development cycle

Additional Requirements:

1. 10+ years of Software Development background.
2. Min 3 Years of working experience as an Architect.
3. Deep background knowledge in software development and architecture with Java for Enterprise solutions.
4. A solid grounding in Computer Science fundamentals (based on a BS or MS in CS or related field) from IITs and Premier Engineering College.
5. Excellent Object Orientation, coupled with excellent problem solving and debugging skills.
6. Highly skilled at Java and related technologies, including Java Frameworks like Spring-boot or Drop wizard, RESTful web services, J SON, Servlet, JSP, MySQL, MongoDB, Kafka, AWS, Solr.
7. Must have hands-on experience in building scalable and secure back-end systems.
8. Have hands-on experience with systems that are asynchronous, RESTful and demand concurrency
9. Good to have knowledge of best software engineering practices for all stages of the software development life cycle, including coding standards, code reviews, testing, deployment.
10. 5-9 years of software development experience in Java with web architecture and scalable design.
11. Experience with agile development, continuous delivery, and DevOps and related tools.
12. Proactive and communicative to be closely aligned within the Product Management and customer requirements.
13. Strong communication and influencing skills with the ability to develop technical and business artifacts.

1. Exposure to Bigdata related technologies / tools.
2. Exposure to Elastic Search.
3. Large scale application development.
4. Able to manage large data structure and huge volume of data.
5. Exposure of developing interactive graphs and business intelligence tools
6. Object-Oriented design, patterns, algorithms, data structures
7. Exposure to business process workflow.
8. Start up work culture mindset.

ABOUT IDEAPOKE
Emerging Technologies | Bengaluru, India

Ideapoke is a global, fast growing start-up with offices in Bengaluru, Bay Area, Tokyo and Shanghai. Our software, search and insights power the innovation agenda of the largest Fortune 500 and Global 2000 companies worldwide.

Our growth is powered by our people and their unwavering commitment to the company-wide vision, strong work ethic and an entrepreneurial do-it-all spirit. We push the boundaries and break existing thought processes with the strong belief that innovation amplifies success in every piece of work we do and by extension, amplifying the success of our clients.

Ideapoke’s like to constantly learn, grow and make a difference. Join us and be part of our story.