Job Title: Entry-Level Software Engineer – Java / GenAI | Chennai Location: Chennai, India (Onsite/Hybrid) Experience: 0–1 year (Recent graduates welcome) About the Role: We’re hiring entry-level engineers with strong fundamentals in Java, Python, and a passion for solving real-world problems. This is a great opportunity to work on next-gen AI and data-driven applications in a collaborative, learning-focused environment. We’re especially interested in candidates who’ve completed internships or academic projects that demonstrate hands-on programming experience and logical thinking. What You’ll Do: • Work on projects involving Java, Python, and GenAI tools • Support AI/ML engineering teams with coding, debugging, and model workflows • Apply problem-solving skills across a variety of technical challenges • Contribute to data processing, system logic, and GenAI platform integration • Collaborate with senior engineers and cross-functional teams in Chennai What We’re Looking For: • Recent graduates (B.E./B.Tech./M.Tech.) from strong academic institutions • Internship or project experience that demonstrates: • Exposure to Java / Python • Problem-solving and algorithmic thinking • Interest or experience in GenAI / AI tools / ML workflows • Excellent logical reasoning and a strong foundation in coding concepts • Positive attitude, curiosity, and eagerness to learn and contribute • Good communication and teamwork skills Bonus Points For: • Competitive programming or hackathon participation • GitHub portfolios, coding blogs, or AI demos • Awareness of tech trends and eagerness to work in a fast-paced domain Show more Show less

Job Title: Senior Genesys & Contact Center Data Specialist Location: Chennai, India (Onsite/Hybrid preferred) Employment Type: Full-time About the Role: We’re looking for a senior-level professional with deep expertise in Genesys Contact Center Solutions and a strong command of Contact Center data. This is a high-impact role where you’ll drive performance optimization, support data strategy, and collaborate across multiple teams. Experience in FinTech or complex, data-rich environments is a strong plus. What You’ll Do: • Serve as the go-to expert on Genesys architecture, data structure, and reporting • Work with large, complex Contact Center datasets to identify patterns and performance gaps • Collaborate across engineering, analytics, operations, and business teams to align goals and improve customer experience • Translate business problems into data questions—and turn data into actionable insights • Own and document best practices for data usage across Contact Center initiatives • Support integration and optimization of Genesys within a broader tech ecosystem What We’re Looking For: • 6+ years of experience with Genesys Contact Center platforms • Solid understanding of Contact Center operations and data, including KPIs, routing logic, and Reporting tools • Strong experience with data analysis, dashboards, and business intelligence tools • Excellent communication skills; comfortable interacting with technical and non-technical stakeholders • Experience in FinTech or regulated environments is preferred • Must be based in Chennai, India or open to relocating Show more Show less

Business Analyst (India) Location: Bangalore, India Work Type: Hybrid - 3 days in office Experience: 8-10 Years About the Role: We are seeking an experienced Business Analyst to join our team in Bangalore. This hybrid role requires 3 days in-office presence as part of a 6-8 member scrum team. The ideal candidate will be a critical thinker with strong communication skills, responsible for bridging the gap between business needs and technical solutions, primarily in an Agile environment. Key Responsibilities: Analyze business requirements and translate them into functional and technical specifications. Work extensively with APIs, understanding their structure and functionality. Manage and track project progress using JIRA. Ensure data integrity and generate insights using SQL. Facilitate efficient team collaboration and documentation through Confluence. Adhere to Agile methodologies and participate actively in scrum ceremonies. Demonstrate strong problem-solving abilities and attention to detail. Exhibit excellent communication skills to interact with stakeholders and technical teams. Apply critical thinking to identify optimal solutions for complex business problems. Possess a strong knowledge of Network Security Technical aspects. Required Skills & Experience: Technical: APIs, SQL, Confluence, JIRA, Agile, Knowledge of Network Security Technical. Soft Skills: Good Communicator, Detail Oriented, Critical Thinking, Problem Solving. Experience: 8-10 years as a Business Analyst. Show more Show less

Job Title: HR Fresher / Junior HR Executive Location: Chennai (onsite) Experience: Fresher / Entry-Level (0-1 year) Job Summary: We are seeking a highly motivated and enthusiastic HR Fresher to join our Human Resources team. This entry-level position is an excellent opportunity for individuals passionate about building a career in HR. The successful candidate will support various HR functions, learn about different aspects of talent management, and contribute to creating a positive employee experience. This role offers hands-on experience and mentorship to grow into a well-rounded HR professional. Key Responsibilities: Recruitment Support: Assist with various stages of the recruitment process, including posting job advertisements on various platforms, screening resumes, scheduling interviews, and coordinating with candidates. Onboarding & Offboarding: Support the onboarding process for new hires, including preparing new hire paperwork, conducting initial orientation, and ensuring a smooth transition into the company. Assist with offboarding procedures as required. HR Administration: Maintain accurate and up-to-date employee records (both physical and digital), manage HR documentation, and assist with general administrative tasks within the HR department. HRIS Management: Help with data entry and maintenance in the Human Resources Information System (HRIS), ensuring data integrity and accuracy. Employee Relations Support: Assist in organizing employee engagement activities, events, and initiatives to foster a positive workplace culture. Policy & Compliance: Learn about company policies and procedures, and assist in ensuring compliance with labor laws and regulations. General HR Support: Provide general support to the HR team on various projects and initiatives as needed, demonstrating a willingness to learn and adapt. Required Qualifications: Bachelor's degree in human resources, Business Administration, or a related field. MBA in Human Resources or a related field. Strong communication skills, both written and verbal. Excellent interpersonal skills and a friendly, approachable demeanour. High level of integrity and ability to handle confidential information with discretion. Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint). Eagerness to learn, proactive attitude, and a strong work ethic. Ability to organize, prioritize, and manage multiple tasks effectively. Preferred Qualifications: Prior internship experience in an HR department. Basic understanding of HR principles and practices. Familiarity with any HRIS software. Show more Show less

About Us: At Objectways, we are at the forefront of AI innovation, solving real-world problems using cutting-edge machine learning and reasoning technologies. Our team works on ambitious projects involving agent trajectory prediction, complex reasoning systems, multimodal intelligence, and preference-based learning. We're looking for a talented Data Scientist eager to push the boundaries of applied AI. Role Overview: We are seeking an experienced Data Scientist (minimum 4 years) to work across a diverse range of AI projects, including: Machine Learning model development Agent Trajectory prediction and modeling Complex Reasoning and Decision Systems Preference Ranking & Reinforcement Learning Multimodal Reasoning (Text, Image, Audio) Prompt Validation and Evaluation for LLMs Key Responsibilities: Design and build ML models for structured and unstructured data Conduct agent-based simulations and develop trajectory learning systems Apply preference learning techniques for fine-tuned ranking outcomes Handle multimodal datasets and develop reasoning pipelines across modalities Validate and optimize prompts for large language model performance Translate research into scalable, production-level implementations Collaborate with cross-functional teams (Engineering, Product, Research) Required Qualifications: Minimum 4 years of hands-on experience in Data Science or Machine Learning roles Strong foundation in Python, PyTorch/TensorFlow, scikit-learn, and ML lifecycle tools Proven expertise in one or more: trajectory modeling, preference ranking, or multimodal systems Experience with LLM prompt engineering and evaluation techniques Solid understanding of complex reasoning algorithms, graph-based methods, or causal inference Strong problem-solving, analytical thinking, and communication skills Preferred Skills: Familiarity with tools like LangChain, Hugging Face, or OpenAI APIs Exposure to RLHF (Reinforcement Learning from Human Feedback) or prompt-tuning Experience with deploying ML models in production environments (e.g., using Docker, MLflow) Why Join Us: Work on high-impact, next-generation AI challenges Collaborate with top talent across domains Competitive salary + benefits + learning budget Flexible and remote-friendly work culture

Job Title: Data Scientist Location: Chennai (Work From Office) Experience: 4 - 8 years About Us: At Objectways, we are at the forefront of AI innovation, solving real-world problems using cutting-edge machine learning and reasoning technologies. Our team works on ambitious projects involving agent trajectory prediction, complex reasoning systems, multimodal intelligence, and preference-based learning. We're looking for a talented Data Scientist eager to push the boundaries of applied AI. Role Overview: We are seeking an experienced Data Scientist (minimum 4 years) to work across a diverse range of AI projects, including: Machine Learning model development Agent Trajectory prediction and modeling Complex Reasoning and Decision Systems Preference Ranking & Reinforcement Learning Multimodal Reasoning (Text, Image, Audio) Prompt Validation and Evaluation for LLMs Key Responsibilities: Design and build ML models for structured and unstructured data Conduct agent-based simulations and develop trajectory learning systems Apply preference learning techniques for fine-tuned ranking outcomes Handle multimodal datasets and develop reasoning pipelines across modalities Validate and optimize prompts for large language model performance Translate research into scalable, production-level implementations Collaborate with cross-functional teams (Engineering, Product, Research) Required Qualifications: Minimum 4 years of hands-on experience in Data Science or Machine Learning roles Strong foundation in Python, PyTorch/TensorFlow, scikit-learn, and ML lifecycle tools Proven expertise in one or more: trajectory modeling, preference ranking, or multimodal systems Experience with LLM prompt engineering and evaluation techniques Solid understanding of complex reasoning algorithms, graph-based methods, or causal inference Strong problem-solving, analytical thinking, and communication skills Preferred Skills: Familiarity with tools like LangChain, Hugging Face, or OpenAI APIs Exposure to RLHF (Reinforcement Learning from Human Feedback) or prompt-tuning Experience with deploying ML models in production environments (e.g., using Docker, MLflow) Why Join Us: Work on high-impact, next-generation AI challenges Collaborate with top talent across domains Competitive salary + benefits + learning budget Flexible and remote-friendly work culture

Job Title: Data Scientist Location: Chennai (Work From Office) Experience: 4 - 8 years About Us: At Objectways, we are at the forefront of AI innovation, solving real-world problems using cutting-edge machine learning and reasoning technologies. Our team works on ambitious projects involving agent trajectory prediction, complex reasoning systems, multimodal intelligence, and preference-based learning. We're looking for a talented Data Scientist eager to push the boundaries of applied AI. Role Overview: We are seeking an experienced Data Scientist (minimum 4 years) to work across a diverse range of AI projects, including: Machine Learning model development Agent Trajectory prediction and modeling Complex Reasoning and Decision Systems Preference Ranking & Reinforcement Learning Multimodal Reasoning (Text, Image, Audio) Prompt Validation and Evaluation for LLMs Key Responsibilities: Design and build ML models for structured and unstructured data Conduct agent-based simulations and develop trajectory learning systems Apply preference learning techniques for fine-tuned ranking outcomes Handle multimodal datasets and develop reasoning pipelines across modalities Validate and optimize prompts for large language model performance Translate research into scalable, production-level implementations Collaborate with cross-functional teams (Engineering, Product, Research) Required Qualifications: Minimum 4 years of hands-on experience in Data Science or Machine Learning roles Strong foundation in Python, PyTorch/TensorFlow, scikit-learn, and ML lifecycle tools Proven expertise in one or more: trajectory modeling, preference ranking, or multimodal systems Experience with LLM prompt engineering and evaluation techniques Solid understanding of complex reasoning algorithms, graph-based methods, or causal inference Strong problem-solving, analytical thinking, and communication skills Preferred Skills: Familiarity with tools like LangChain, Hugging Face, or OpenAI APIs Exposure to RLHF (Reinforcement Learning from Human Feedback) or prompt-tuning Experience with deploying ML models in production environments (e.g., using Docker, MLflow) Why Join Us: Work on high-impact, next-generation AI challenges Collaborate with top talent across domains Competitive salary + benefits + learning budget Flexible and remote-friendly work culture

Job Title: Data Scientist Location: Chennai (Work From Office) Experience: 4 - 8 years About Us: At Objectways, we are at the forefront of AI innovation, solving real-world problems using cutting-edge machine learning and reasoning technologies. Our team works on ambitious projects involving agent trajectory prediction, complex reasoning systems, multimodal intelligence, and preference-based learning. We're looking for a talented Data Scientist eager to push the boundaries of applied AI. Role Overview: We are seeking an experienced Data Scientist (minimum 4 years) to work across a diverse range of AI projects, including: Machine Learning model development Agent Trajectory prediction and modeling Complex Reasoning and Decision Systems Preference Ranking & Reinforcement Learning Multimodal Reasoning (Text, Image, Audio) Prompt Validation and Evaluation for LLMs Key Responsibilities: Design and build ML models for structured and unstructured data Conduct agent-based simulations and develop trajectory learning systems Apply preference learning techniques for fine-tuned ranking outcomes Handle multimodal datasets and develop reasoning pipelines across modalities Validate and optimize prompts for large language model performance Translate research into scalable, production-level implementations Collaborate with cross-functional teams (Engineering, Product, Research) Required Qualifications: Minimum 4 years of hands-on experience in Data Science or Machine Learning roles Strong foundation in Python, PyTorch/TensorFlow, scikit-learn, and ML lifecycle tools Proven expertise in one or more: trajectory modeling, preference ranking, or multimodal systems Experience with LLM prompt engineering and evaluation techniques Solid understanding of complex reasoning algorithms, graph-based methods, or causal inference Strong problem-solving, analytical thinking, and communication skills Preferred Skills: Familiarity with tools like LangChain, Hugging Face, or OpenAI APIs Exposure to RLHF (Reinforcement Learning from Human Feedback) or prompt-tuning Experience with deploying ML models in production environments (e.g., using Docker, MLflow) Why Join Us: Work on high-impact, next-generation AI challenges Collaborate with top talent across domains Competitive salary + benefits + learning budget Flexible and remote-friendly work culture

Job Title: Data Scientist Location: Chennai (Work From Office) Experience: 4 - 8 years About Us: At Objectways, we are at the forefront of AI innovation, solving real-world problems using cutting-edge machine learning and reasoning technologies. Our team works on ambitious projects involving agent trajectory prediction, complex reasoning systems, multimodal intelligence, and preference-based learning. We're looking for a talented Data Scientist eager to push the boundaries of applied AI. Role Overview: We are seeking an experienced Data Scientist (minimum 4 years) to work across a diverse range of AI projects, including: Machine Learning model development Agent Trajectory prediction and modeling Complex Reasoning and Decision Systems Preference Ranking & Reinforcement Learning Multimodal Reasoning (Text, Image, Audio) Prompt Validation and Evaluation for LLMs Key Responsibilities: Design and build ML models for structured and unstructured data Conduct agent-based simulations and develop trajectory learning systems Apply preference learning techniques for fine-tuned ranking outcomes Handle multimodal datasets and develop reasoning pipelines across modalities Validate and optimize prompts for large language model performance Translate research into scalable, production-level implementations Collaborate with cross-functional teams (Engineering, Product, Research) Required Qualifications: Minimum 4 years of hands-on experience in Data Science or Machine Learning roles Strong foundation in Python, PyTorch/TensorFlow, scikit-learn, and ML lifecycle tools Proven expertise in one or more: trajectory modeling, preference ranking, or multimodal systems Experience with LLM prompt engineering and evaluation techniques Solid understanding of complex reasoning algorithms, graph-based methods, or causal inference Strong problem-solving, analytical thinking, and communication skills Preferred Skills: Familiarity with tools like LangChain, Hugging Face, or OpenAI APIs Exposure to RLHF (Reinforcement Learning from Human Feedback) or prompt-tuning Experience with deploying ML models in production environments (e.g., using Docker, MLflow) Why Join Us: Work on high-impact, next-generation AI challenges Collaborate with top talent across domains Competitive salary + benefits + learning budget

As a Data Scientist at Objectways located in Chennai, you will have the opportunity to be part of a team that is driving AI innovation and solving real-world problems by leveraging cutting-edge machine learning and reasoning technologies. Our projects are ambitious and diverse, ranging from agent trajectory prediction to complex reasoning systems, multimodal intelligence, and preference-based learning. We are looking for a talented individual like you who is eager to explore the boundaries of applied AI. In this role, you will be responsible for designing and developing machine learning models for both structured and unstructured data. You will work on agent trajectory prediction, complex reasoning, preference ranking, and reinforcement learning. Additionally, you will handle multimodal datasets and develop reasoning pipelines across text, image, and audio modalities. Your responsibilities will also include validating and optimizing prompts for large language model performance and translating research into scalable, production-level implementations. Collaboration with cross-functional teams such as Engineering, Product, and Research is essential to ensure the success of our projects. To qualify for this position, you should have a minimum of 4 years of hands-on experience in Data Science or Machine Learning roles. Proficiency in Python, PyTorch/TensorFlow, scikit-learn, and ML lifecycle tools is required. You should also demonstrate expertise in at least one of the following areas: trajectory modeling, preference ranking, or multimodal systems. Experience with LLM prompt engineering, complex reasoning algorithms, graph-based methods, and causal inference is highly beneficial. Strong problem-solving, analytical thinking, and communication skills are essential for success in this role. Preferred skills for this position include familiarity with tools like LangChain, Hugging Face, or OpenAI APIs, exposure to RLHF (Reinforcement Learning from Human Feedback) or prompt-tuning, and experience with deploying ML models in production environments using technologies such as Docker and MLflow. By joining Objectways, you will have the opportunity to work on high-impact, next-generation AI challenges, collaborate with top talent from various domains, and enjoy a competitive salary with benefits and a learning budget.,

As a Cloud Support Management Engineer in our Network Security, Technology Risk, and Information Security team based in Bangalore, you will play a crucial role in managing technical support functions within hybrid cloud environments. Your responsibilities will include overseeing, managing, and optimizing our cloud infrastructure to ensure robust security, compliance, and efficient incident response. You will be responsible for managing the operation and support of cloud infrastructure across AWS, GCP, and Azure environments. This includes tasks such as provisioning, monitoring, performance tuning, and lifecycle management of cloud services and resources. You will also be expected to respond to infrastructure incidents and security alerts, identify root causes, and implement corrective actions to prevent future occurrences. In addition, you will drive continuous improvement efforts in cloud automation, infrastructure as code, and cost optimization. This involves coordinating day-to-day operations related to cloud infrastructure support, ensuring timely resolution of escalated issues while maintaining high service quality and adherence to SLAs. Furthermore, you will facilitate cross-functional collaboration between infrastructure, DevOps, cloud security, compliance, and software engineering teams. Building playbooks and standard operating procedures (SOPs) will be crucial to enhancing team efficiency and knowledge sharing. Your expertise in leveraging Terraform for defining, deploying, and managing cloud infrastructure securely and efficiently will be essential. You will also be responsible for building CI/CD pipelines to automate cloud deployment and configuration tasks, as well as maintaining infrastructure configurations in source control repositories. Enforcing policies and guardrails through code to ensure consistent and compliant infrastructure environments will be a key focus area. Moreover, you will be expected to implement and enforce security configurations, access control policies, and network segmentation in cloud environments to proactively identify security risks and recommend architectural improvements. Monitoring, observability, and incident response will also fall within your purview, requiring you to develop runbooks and escalation paths for responding to incidents across cloud platforms. To qualify for this role, you should have at least 5 years of experience in cloud engineering or cloud support roles, with deep expertise in AWS, GCP, and Azure. Certifications such as AWS Certified Solutions Architect/DevOps Engineer, Google Cloud Professional Cloud Architect/Engineer, and Microsoft Certified: Azure Administrator/Solutions Architect are required or strongly preferred. You should also have extensive experience with Terraform, infrastructure as code (IaC), and managing infrastructure in version-controlled repositories. Strong problem-solving skills, excellent communication, and collaboration skills are also essential for success in this role.,

Job Title: Data Scientist Location: Chennai (Work From Office) Experience: 4 - 8 years About Us: At Objectways, we are at the forefront of AI innovation, solving real-world problems using cutting-edge machine learning and reasoning technologies. Our team works on ambitious projects involving agent trajectory prediction, complex reasoning systems, multimodal intelligence, and preference-based learning. We're looking for a talented Data Scientist eager to push the boundaries of applied AI. Role Overview: We are seeking an experienced Data Scientist (minimum 4 years) to work across a diverse range of AI projects, including: Machine Learning model development Agent Trajectory prediction and modeling Complex Reasoning and Decision Systems Preference Ranking & Reinforcement Learning Multimodal Reasoning (Text, Image, Audio) Prompt Validation and Evaluation for LLMs Key Responsibilities: Design and build ML models for structured and unstructured data Conduct agent-based simulations and develop trajectory learning systems Apply preference learning techniques for fine-tuned ranking outcomes Handle multimodal datasets and develop reasoning pipelines across modalities Validate and optimize prompts for large language model performance Translate research into scalable, production-level implementations Collaborate with cross-functional teams (Engineering, Product, Research) Required Qualifications: Minimum 4 years of hands-on experience in Data Science or Machine Learning roles Strong foundation in Python, PyTorch/TensorFlow, scikit-learn, and ML lifecycle tools Proven expertise in one or more: trajectory modeling, preference ranking, or multimodal systems Experience with LLM prompt engineering and evaluation techniques Solid understanding of complex reasoning algorithms, graph-based methods, or causal inference Strong problem-solving, analytical thinking, and communication skills Preferred Skills: Familiarity with tools like LangChain, Hugging Face, or OpenAI APIs Exposure to RLHF (Reinforcement Learning from Human Feedback) or prompt-tuning Experience with deploying ML models in production environments (e.g., using Docker, MLflow) Why Join Us: Work on high-impact, next-generation AI challenges Collaborate with top talent across domains Competitive salary + benefits + learning budget

Job Title: Data Scientist Location: Chennai (Work From Office) Experience: 4 - 8 years About Us: At Objectways, we are at the forefront of AI innovation, solving real-world problems using cutting-edge machine learning and reasoning technologies. Our team works on ambitious projects involving agent trajectory prediction, complex reasoning systems, multimodal intelligence, and preference-based learning. We're looking for a talented Data Scientist eager to push the boundaries of applied AI. Role Overview: We are seeking an experienced Data Scientist (minimum 4 years) to work across a diverse range of AI projects, including: Machine Learning model development Agent Trajectory prediction and modeling Complex Reasoning and Decision Systems Preference Ranking & Reinforcement Learning Multimodal Reasoning (Text, Image, Audio) Prompt Validation and Evaluation for LLMs Key Responsibilities: Design and build ML models for structured and unstructured data Conduct agent-based simulations and develop trajectory learning systems Apply preference learning techniques for fine-tuned ranking outcomes Handle multimodal datasets and develop reasoning pipelines across modalities Validate and optimize prompts for large language model performance Translate research into scalable, production-level implementations Collaborate with cross-functional teams (Engineering, Product, Research) Required Qualifications: Minimum 4 years of hands-on experience in Data Science or Machine Learning roles Strong foundation in Python, PyTorch/TensorFlow, scikit-learn, and ML lifecycle tools Proven expertise in one or more: trajectory modeling, preference ranking, or multimodal systems Experience with LLM prompt engineering and evaluation techniques Solid understanding of complex reasoning algorithms, graph-based methods, or causal inference Strong problem-solving, analytical thinking, and communication skills Preferred Skills: Familiarity with tools like LangChain, Hugging Face, or OpenAI APIs Exposure to RLHF (Reinforcement Learning from Human Feedback) or prompt-tuning Experience with deploying ML models in production environments (e.g., using Docker, MLflow) Why Join Us: Work on high-impact, next-generation AI challenges Collaborate with top talent across domains Competitive salary + benefits + learning budget