Customer Success Manager

Job Title : Senior Java Developer

Experience : 5+ Years

Location : Bangalore

Job Type : Contract / Contract-to-Hire

Shift : U.K. Shift (01:30 PM IST to 10:30 PM IST)

Job Summary :

We are looking for a highly skilled Senior Full Stack Java Developer to join our dynamic team. The ideal candidate will have strong expertise in both backend and frontend development, with proven experience in building scalable enterprise applications. This role requires proficiency in Java, Spring Boot, JSP, MySQL, HTML, CSS, JavaScript, jQuery, and Bootstrap, along with excellent communication skills to collaborate with global teams in a U.K. shift.

Mandatory Skills : Java, Spring Boot, JSP, MySQL, HTML, CSS, JavaScript, jQuery, Bootstrap, Software Design Patterns, Debugging & Performance Optimization.

Key Responsibilities :

• Design, develop, and maintain scalable full-stack applications.
• Build robust backend services using Java, Spring Boot, JSP, and MySQL.
• Develop responsive and user-friendly UI components with HTML, CSS, JavaScript, jQuery, and Bootstrap.
• Optimize database queries and ensure application performance and scalability.
• Apply best practices and design patterns for maintainable, clean, and efficient code.
• Collaborate with cross-functional teams across geographies to deliver quality solutions.
• Conduct code reviews, debugging, testing, and deployment activities.
• Support international clients by working in the U.K. shift.

Must-Have Skills :

• Strong expertise in Java (Core & Advanced) and Spring Boot.
• Hands-on experience with JSP, MySQL, and backend service development.
• Proficiency in HTML, CSS, JavaScript, jQuery, and Bootstrap.
• Solid understanding of software design patterns and architecture.
• Strong skills in debugging, problem-solving, and performance optimization.
• Excellent communication and collaboration abilities.

Role Overview

We are seeking a highly skilled Senior Developer / Technical Lead with strong experience in marketing creative platforms and digital experience delivery. This role requires expertise in Sitecore, React.js, Node.js, Python, and FileMaker, along with proven leadership capabilities to guide development teams and deliver high-impact marketing solutions.

You will play a critical role in designing, developing, and leading the implementation of scalable, creative, and performance-driven digital experiences.

________________________________________

Required Skills & Qualifications

Technical Skills

• Strong experience with:

o Sitecore CMS (content modeling, personalization, pipelines, APIs)

o React.js (modern front-end ecosystem)

o Node.js (RESTful APIs, server-side applications)

o Python (automation, backend systems, scripting)

• Experience with FileMaker (development, customization, or integration)

• Proficiency in HTML5, CSS3, JavaScript/TypeScript

• Experience with API design, microservices architecture, and cloud platforms (AWS )

• Familiarity with CI/CD pipelines, DevOps practices, and version control (Git)

Technical Leadership

• Lead a team of developers, ensuring high-quality design, development, and delivery of solutions

• Provide architectural guidance and enforce best practices across front-end and back-end development

• Mentor junior/mid-level engineers and support team growth

• Ensure scalability, reliability, and security of solutions

Review Criteria

• Strong Senior Data Scientist (AI/ML/GenAI) Profile
• 5+ years of experience in designing, developing, and deploying Machine Learning / Deep Learning (ML/DL) systems in production
• Must have strong hands-on experience in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX.
• 1+ years of experience in fine-tuning Large Language Models (LLMs) using techniques like LoRA/QLoRA, and building RAG (Retrieval-Augmented Generation) pipelines.
• Must have experience with MLOps and production-grade systems including Docker, Kubernetes, Spark, model registries, and CI/CD workflows

Preferred

• Prior experience in open-source GenAI contributions, applied LLM/GenAI research, or large-scale production AI systems
• Preferred (Education) – B.S./M.S./Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.

Job Specific Criteria

• CV Attachment is mandatory
• Which is your preferred job location (Mumbai / Bengaluru / Hyderabad / Gurgaon)?
• Are you okay with 3 Days WFO?
• Virtual Interview requires video to be on, are you okay with it?

Role & Responsibilities

Company is hiring a Senior Data Scientist with strong expertise in AI, machine learning engineering (MLE), and generative AI. You will play a leading role in designing, deploying, and scaling production-grade ML systems — including large language model (LLM)-based pipelines, AI copilots, and agentic workflows. This role is ideal for someone who thrives on balancing cutting-edge research with production rigor and loves mentoring while building impact-first AI applications.

Responsibilities:

• Own the full ML lifecycle: model design, training, evaluation, deployment
• Design production-ready ML pipelines with CI/CD, testing, monitoring, and drift detection
• Fine-tune LLMs and implement retrieval-augmented generation (RAG) pipelines
• Build agentic workflows for reasoning, planning, and decision-making
• Develop both real-time and batch inference systems using Docker, Kubernetes, and Spark
• Leverage state-of-the-art architectures: transformers, diffusion models, RLHF, and multimodal pipelines
• Collaborate with product and engineering teams to integrate AI models into business applications
• Mentor junior team members and promote MLOps, scalable architecture, and responsible AI best practices

Ideal Candidate

• 5+ years of experience in designing, deploying, and scaling ML/DL systems in production
• Proficient in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX
• Experience with LLM fine-tuning, LoRA/QLoRA, vector search (Weaviate/PGVector), and RAG pipelines
• Familiarity with agent-based development (e.g., ReAct agents, function-calling, orchestration)
• Solid understanding of MLOps: Docker, Kubernetes, Spark, model registries, and deployment workflows
• Strong software engineering background with experience in testing, version control, and APIs
• Proven ability to balance innovation with scalable deployment
• B.S./M.S./Ph.D. in Computer Science, Data Science, or a related field
• Bonus: Open-source contributions, GenAI research, or applied systems at scale

5+ years of Experience designing, building and testing Java EE applications  

Experience designing, implementing, and integrating Spring and/or Spring Boot 

Good knowledge in recent version of Java, Oracle, JBoss, Hibernate  

Experience in working with Messaging systems like Apache Kafka  

Developing low level designs based on HLD  

Reviewing code to check coding standards and best practices to ensure quality.  

Hands on knowledge in Unit testing Framework like Junit and good understanding on Exception Handling in Java  

Good Knowledge in UI like React or Angular  

Experience designing SOAP / RESTful web services  

Working on bug fixing and improving application performance  

Familiarity with build tools such as Maven and Gradle.  

Familiar with various design and architectural patterns  

Familiarity with continuous integration

Job Description: 

Machine Learning / AI Engineer (with 3+ years of experience)

We are seeking a highly skilled and passionate Machine Learning / AI Engineer to join our newly established data science practice area. In this role, you will primarily focus on working with Large Language Models (LLMs) and contribute to building generative AI applications. This position offers an exciting opportunity to shape the future of AI technology while charting an interesting career path within our organization.

Responsibilities:

1. Develop and implement machine learning models: Utilize your expertise in machine learning and artificial intelligence to design, develop, and deploy cutting-edge models, with a particular emphasis on Large Language Models (LLMs). Apply your knowledge to solve complex problems and optimize performance.

2. Building generative AI applications: Collaborate with cross-functional teams to conceptualize, design, and build innovative generative AI applications. Work on projects that push the boundaries of AI technology and deliver impactful solutions to real-world problems.

3. Data preprocessing and analysis: Collect, clean, and preprocess large volumes of data for training and evaluation purposes. Conduct exploratory data analysis to gain insights and identify patterns that can enhance the performance of AI models.

4. Model training and evaluation: Develop robust training pipelines for machine learning models, incorporating best practices in model selection, feature engineering, and hyperparameter tuning. Evaluate model performance using appropriate metrics and iterate on the models to improve accuracy and efficiency.

5. Research and stay up to date: Keep abreast of the latest advancements in machine learning, natural language processing, and generative AI. Stay informed about industry trends, emerging techniques, and open-source libraries, and apply relevant findings to enhance the team's capabilities.

6. Collaborate and communicate effectively: Work closely with a multidisciplinary team of data scientists, software engineers, and domain experts to drive AI initiatives. Clearly communicate complex technical concepts and findings to both technical and non-technical stakeholders.

7. Experimentation and prototyping: Explore novel ideas, experiment with new algorithms, and prototype innovative solutions. Foster a culture of innovation and contribute to the continuous improvement of AI methodologies and practices within the organization.

Requirements:

1. Education: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Relevant certifications in machine learning, deep learning, or AI are a plus.

2. Experience: A minimum of 3+ years of professional experience as a Machine Learning / AI Engineer, with a proven track record of developing and deploying machine learning models in real-world applications.

3. Strong programming skills: Proficiency in Python and experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, pandas). Experience with cloud platforms (e.g., AWS, Azure, GCP) for model deployment is preferred.

4. Deep-learning expertise: Strong understanding of deep learning architectures (e.g., convolutional neural networks, recurrent neural networks, transformers) and familiarity with Large Language Models (LLMs) such as GPT-3, GPT-4, or equivalent.

5. Natural Language Processing (NLP) knowledge: Familiarity with NLP techniques, including tokenization, word embeddings, named entity recognition, sentiment analysis, text classification, and language generation.

6. Data manipulation and preprocessing skills: Proficiency in data manipulation using SQL and experience with data preprocessing techniques (e.g., cleaning, normalization, feature engineering). Familiarity with big data tools (e.g., Spark) is a plus.

7. Problem-solving and analytical thinking: Strong analytical and problem-solving abilities, with a keen eye for detail. Demonstrated experience in translating complex business requirements into practical machine learning solutions.

8. Communication and collaboration: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to diverse stakeholders

Job Title : Assistant Manager

Function :

Location : All Locations

>> OVERVIEW

An independent audit of financial statements is essential for the effective operation of business entities and the capital markets. We are committed to providing a constructive and challenging audit, one that is also independent and delivers the messages that matter to management and the audit committee. We add value beyond the financial statement through the insights we bring, based on our knowledge of a client’s business drivers and of individual sectors. Apart from financial statements audit (including IFRS and US GAAP reporting), we also provide other forms of assurance and attestation reporting. Our approach is based on robust audit methodologies, appropriate use of technology and a wide range of compliance tools underpinned by sound judgement and objectivity..

>> ROLE & RESPONSIBILITIES

· Work with the Audit practice to execute Statutory Audit/ Indian GAAP/ IFRS/ US GAAP accounting services and related services for clients

· The candidate will be expected to be a team member in large assignments and lead small / medium audit teams whilst exercising compliance with our Audit manual, Auditing Standards and legal regulations

>> THE INDIVIDUAL

· Be a qualified CA

· Have 3 - 5 years post qualification experience in Statutory Audit in a similar environment (Audit and Accounting firms)

· Have the ability to work under stringent deadlines and demanding client conditions

· Be willing to travel within India or abroad for continuous/ long periods of time

· Have strong soft skills like inter personal, team and communication skills both verbal and written

>> SELECTION PROCESS

· Candidates should expect minimum 3 rounds of personal interviews to assess clarity on concepts, communication skills and attitude

>> COMPENSATION

· Details of the compensation breakup will be shared with short-listed candidates only