
Roles and Responsibilities: -
- Manage the recruitment and selection process.
- Develop and implement HR strategies and initiatives aligned with the overall business strategy.
- Bridge management and employee relations by addressing demands, grievances, or other issues.
- Support current and future business needs through the development, engagement, motivation, and preservation of human capital.
- Develop and monitor overall HR strategies, systems, tactics, and procedures across the organization.
- Nurture a positive working environment.
- Oversee and manage a performance appraisal system that drives high performance.
- Maintain pay plan and benefits program.
- Assess training needs to apply and monitor training programs.
- Ensure legal compliance throughout human resource management.
- Tie up with corporates via Email, callings etc. for placements
Desired Candidate Profile: -
- Proven working experience as HR Executive.
- People oriented and results driven.
- Demonstrable experience with Human Resources metrics
- Knowledge of HR systems and databases
- Ability to architect strategy along with leadership skills
- Excellent active listening, negotiation, and presentation skills
- Competence to build and effectively manage interpersonal relationships at all levels of the company.
- In-depth knowledge of labor law and HR best practices
- Degree in Human Resources or related field
Performance based appraisal.
Skills and Qualifications
- Diploma /Bachelor’s degree / Masters in human resources
- 1+ years in human resources or recruitment
- Exceptional communication skills, writing skills, interpersonal skills, and ethical mindset.
- Adept to problem-solving and conflict resolution
- Extensive knowledge of HR policies and systems
- Familiarity with HR software and working knowledge of MS Office.
Self Motivated, Time Management and sincere

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Role & Responsibilities
This role is a highly specialized business-facing AI team. We deliver professional AI products and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. We look for individuals with strong, unique specializations to improve the overall strength of the team. This role is the right fit for you if you love working with customers, teammates, and fuelling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly.
Objectives of role:
- Develop cutting-edge GenAI solutions, incorporating the latest techniques from Mosaic AI research to solve business problems
- Own production rollouts of consumer and internally facing GenAI applications
- Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap
- Required /Proven experience with the following:
- Experience in building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine- tuning, etc., with tools such as HuggingFace, LangChain, and DSPy
- Expertise in deploying production-grade GenAI applications, including evaluation and optimizations
- Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.
- Experience in building production-grade machine learning deployments on AWS, Azure, or GCP
- Graduate degree in a quantitative discipline like Computer Science or equivalent practical experience Passion for collaboration, life-long learning, and driving business value through AI
- [Preferred] Experience in using the Databricks Intelligence Platform and Apache Spark? to process large-scale distributed datasets
- We require fluency in English and willingness to work across time zones.
Ideal Candidate
- Strong AI/ML Engineer Profile
- Mandatory (Experience) : Must have 3+ years of experience in software engineering with atleast 1+ years in GenAI application development and production deployment
- Mandatory (GenAI Application Development): Must have proven experience building GenAI applications covering RAG pipelines, multi-agent systems, Text2SQL, and fine-tuning
- Mandatory (Production GenAI Deployment): Must have expertise deploying production-grade GenAI applications including model evaluation, optimisation, and ownership of full production rollouts
- Mandatory (ML & Data Science Tooling): Must have strong hands-on experience with core ML and data science tools including pandas, scikit-learn, and PyTorch
- Mandatory (Cloud ML Infrastructure): Must have experience building and deploying production-grade ML workloads on at least one of AWS, Azure, or GCP
- Mandatory (Communication): Must have strong English communication skills with the ability to work across time zones and collaborate cross-functionally with product, engineering, and business stakeholders
- Mandatory (Note 1) : Role is Hybrid, WFH flexibility as well upto 6 days a month
- Mandatory (Note 2) : CTC is inclusive of 10% variable
- Mandatory (Note 3): Candidates should be available to join within May 31st or June first week max
- Preferred (Education): Must hold a graduate degree in Computer Science, Statistics, Mathematics, or a related quantitative discipline or equivalent practical experience
- Preferred (Tools): Hands-on experience with the Databricks and Apache Spark
- Preferred (Pharma/Life Sciences Domain): Good understanding of Pharma Quality Standards and Practices or prior experience in pharmaceutical or life sciences contexts is a meaningful plus.
About Us: Website: https://www.tundratechnical.ca/ & https://tundramanagedsolutions.com/
Experience: 5-8 years
Shift: EST
Location: Bangalore
Mode: Hybrid
Position Requirements
Core (Must-Have) Skills
• Proficiency in Python with advanced use of NumPy, Pandas, and Scikit-learn
• Expertise in SQL, including complex queries and performance optimization
• Strong foundation in machine learning techniques (regression, classification, clustering, ensemble methods)
• Natural Language Processing (NLP), Large Language Models (LLMs), and Generative AI
• MLOps practices (MLFlow, Kubeflow, CI/CD pipelines for ML workflows)
• Experience in data visualization (Seaborn, Plotly, Tableau, or Power BI)
• Applied knowledge of statistics and probability for model development
• Hands-on experience with cloud-based ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI)
• Exposure to large-scale data processing (Spark, Hadoop)
Preferred Skills
• Deep learning frameworks (TensorFlow, PyTorch)
• Natural Language Processing (NLP), Large Language Models (LLMs), and Generative AI
• MLOps practices (MLFlow, Kubeflow, CI/CD pipelines for ML workflows)
• Data pipeline orchestration (Airflow, Prefect)
• Business domain knowledge (e.g., retail, finance)
Key Activities
• Preparing and preprocessing structured and unstructured data for analysis
• Designing, training, and validating machine learning models
• Deploying and operationalizing models in collaboration with engineering teams
• Building dashboards and data-driven visual insights for stakeholders
• Partnering with product and engineering teams to align models with business needs
• Monitoring, optimizing, and retraining models for performance improvements
Strong SAP EWM Functional Consultant Profile
Mandatory (Experience 1) – Must have 6+ years of strong hands-on experience in SAP EWM (Extended Warehouse Management).
Mandatory (Experience 2) – Must have completed at least 2 end-to-end SAP EWM implementations and minimum 1 rollout project (full lifecycle exposure – Requirement Gathering to Go-Live & Hypercare).
Mandatory (Experience 3) – Strong hands-on experience in Inbound and Outbound warehouse processes, including Goods Receipt, Putaway, Picking, Packing, Staging, and Goods Issue.
Mandatory (Experience 4) – Must have strong process knowledge in O2C (Order-to-Cash), Supply Chain Management, and Warehouse Execution processes.
Mandatory (Experience 5) – Must have hands-on experience in Decentralized EWM and SAP S/4HANA Embedded EWM (Cloud-oriented landscape preferred).
Mandatory (Experience 6) – Strong integration knowledge with SAP SD (Sales & Distribution – Outbound processes) and SAP TM (Transportation Management).
Mandatory (Domain Exposure) – Candidates must have worked in Manufacturing or Supply Chain-driven environments; Automotive industry experience preferred
Description
Job Summary
We are seeking a visionary Senior AI Engineer with a minimum of 3+ years of experience to lead the development of an advanced AI system leveraging CrewAI and LangChain tools to build intelligent, collaborative multi-agent systems for the logistics domain. The role includes designing AI agents capable of handling complex tasks, optimizing workflows, and conducting A/B and beta testing to ensure robust, scalable performance under diverse conditions. This is an opportunity to shape cutting-edge AI systems and revolutionize logistics operations.
Responsibilities:
1. Design & Architecture:
Architect and implement a multi-agent AI system using CrewAI for task collaboration, communication, and real-time logistics optimization.
Integrate LangChain tools for natural language understanding, contextual reasoning, and knowledge retrieval.
Ensure the system is designed to allow comprehensive testing, iteration, and improvement.
2. AI Agent Development:
Develop autonomous agents capable of dynamic decision-making, task delegation, and seamless inter-agent communication.
Use LangChain to enhance agent capabilities, such as reasoning over unstructured data and interfacing with external knowledge bases.
3. A/B Testing & Experimentation:
Design and execute A/B tests to compare AI agent strategies, workflows, and decision-making models under varying scenarios.
Develop and implement metrics for evaluating system performance (e.g., latency, accuracy, scalability).
Use experimentation frameworks to test hypotheses and gather insights on system improvements.
4. Beta Testing & Real-World Simulation:
Set up controlled beta testing environments that mimic real-world logistics operations.
Simulate edge cases, bottlenecks, and high-load scenarios to ensure system robustness and scalability.
Gather feedback from beta users and iterate on the system to address discovered issues.
5. Progress Demonstration:
Develop dashboards and visualizations to showcase key performance indicators (KPIs) and test results.
Implement tools to log and track agent interactions, decision outcomes, and error rates in real-time.
Regularly present progress to stakeholders, highlighting improvements and areas for refinement.
6. Optimization & Scalability:
Optimize multi-agent interactions and resource allocation for real-world logistics challenges.
Ensure the system scales seamlessly for complex operations involving high volumes of agents and data.
7. Integration:
Seamlessly integrate the multi-agent system with logistics platforms, such as Transportation Management Systems (TMS) and Warehouse Management Systems (WMS).
Use LangChain tools to connect agents to APIs, external knowledge graphs, and live data streams.
8. Collaboration & Leadership:
Lead a team of engineers in developing advanced AI solutions, mentoring them on testing frameworks and innovative technologies like CrewAI and LangChain.
Collaborate with cross-functional teams to align AI development with business needs.
9. Research & Innovation:
Stay updated on the latest advancements in multi-agent systems, LangChain, CrewAI, and testing frameworks.
Introduce cutting-edge techniques to continuously improve the AI system’s performance.
Required Qualifications:
Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (Ph.D. preferred).
Experience:
• 3+ years in AI development, with experience in multi-agent systems, logistics, or related fields.
• Proven experience in conducting A/B testing and beta testing for AI systems.
• Hands-on experience with CrewAI and LangChain tools.
• Should have hands-on experience working with end-to-end chatbot development, specifically with Agentic and RAG-based chatbots. It is essential that the candidate has been involved in the entire lifecycle of chatbot creation, from design to deployment.
• Should have practical experience with LLM application deployment.
Technical Skills:
• Proficiency in Python and machine learning frameworks (e.g., TensorFlow, PyTorch).
• Strong understanding of A/B testing platforms and methodologies for AI systems.
• Expertise in building beta testing pipelines and real-world simulation environments.
• Familiarity with distributed systems, reinforcement learning, and natural language processing (NLP).
• Proficiency in using LangChain tools for chaining tasks, knowledge retrieval, and reasoning.
• Proficiency with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).
• Good to have experience in Cursor & MCP.
• Experience in setting up monitoring dashboards with tools like Grafana, Tableau, or similar.
Preferred Qualifications:
Experience in logistics systems, such as route optimization, shipment tracking, and demand forecasting.
Familiarity with graph theory, network optimization, and blockchain for agent security.
Background in designing scalable systems tested under diverse operational conditions.
Soft Skills:
Strong analytical and problem-solving abilities.
Ability to communicate technical concepts effectively to stakeholders.
Leadership skills for mentoring teams and guiding project execution.
Job Description:
Are you a fun loving and passionate to be a part of Global Innovator team? Are you planning to grow your career, which enhance your skills in technology? A career at SmartDocs can open many doors for you in the world of technology. If you are looking for a company that is dedicated to your ideas, recognizes you for your unique competency & contributions and provides a fun, flexible and delightful work atmosphere.
Then, we are the right place to ignite your passion. We are totally committed about our employees, our Clients & Customers, our work culture and especially our technology. We are an organization who encourages new ideas of employees through collaboration and creativity.
We are seeking for a dedicated individual to join SmartDocs Business Solutions. The candidate will work with the product development team and must be a subject matter expert in-order to deliver the best practices; an ideal candidate must possess excellent business skills with outstanding communication, professionalism & leadership and must have minimum 3 - 6 years of experience in JAVA as a full stack developer.
Desirable Skills & Expertise:
v Minimum 3 – 6 years of experience as a full stack developer (Preferable from product based entity). At least a year of experience in managing a team is mandatory.
v Master’s or bachelor’s degree in Engineering (CSE / IT / MCA / Software) are preferred.
v Work exp. in Java, Frame-works like : Spring, Spring boot; J2EE technologies like Servlets, JSP and Web Application Server is mandatory.
v Strong skills in HTML, Java Script, XML, CSS and Mango DB.
v Product development in Linux environment is an added advantage.
v Possesses intellectual humility; smart, driven, creative and able to learn things from slipups, willing to raise others up.
v Excellent Communication & Analytical skills with integrated professionalism at all levels.
Key Responsibilities:
Ø The role is responsible for designing, coding and deploying of high-performance applications.
Ø Deep expertise and hands on experience as a Core JAVA Developer.
Ø Team Management, Excellent interpersonal, Communication and effective organizational skills and solid technical skills.
Ø Should be able to communicate effectively with both technical and non-technical personnel.
Ø Excellent trouble shootings & problem-solving skills.
Ø Experience with SDLC from requirement analysis through testing and deployment.
Ø Must be an expert in technologies like J2EE, JSP, Servlets, Web Application, HTML, Java Script, XML, CSS, Mango DB and JAVA frameworks – Spring boot.
Ø Develop and maintain strong product knowledge.
Ø Guide the clients through various stages of the project and transition to support organization.
Ø Review existing business processes and participate in the Process Improvement Program.
SmartDocs, provides equal employment opportunity to all its employees and all qualified applicants for employment without regard to their race, caste, religion, color, ancestry, marital status, gender, sexual orientation, age, nationality, ethnic origin or disability. Our resource policies shall promote diversity and equality in the workplace while encouraging the adoption of international best practices.
7+ years of experience of Workday HCM configuration across 4+ Workday modules and 5+ deployments
Key responsibilities
- Lead design/requirements workshops
- Highly confident in configuring workday with the ability to utilise Workday Community where necessary
- Highly confident in building accurate estimates for Workday configuration work
- Approve effort estimates of more junior consultants
- High level of understanding of how business utilise HR technology to their advantage
- Directly manage a team of consultants based in India
- Manage customer escalations around direct reports work
- Support in building the CloudRock team based in Indian through being an advocate for CloudRock and a leadership figure
- Support and mentor junior resource based in India/Portugal/UK
- Full understanding of the Workday deployment methodology
- Achieve a high level of utilisation
- Be consultative in their customer approach
Job Title: Odoo Developer
Department: Software development
Location: Bangalore
India As an Odoo developer, you will work together with your technical colleagues, a project manager and functional analysts. You will be building, integrating and maintaining Odoo implementations for our customers.
What we Offer:
● Interesting digital Odoo projects for the biggest Odoo partner in Europe! ●
A long term collaboration in a stable and fast growing company with open culture
● A lot of fun and great colleagues!
Role Responsibilities:
● Analyze business requirements
● Develop and customize Odoo modules
● Integrate Odoo with 3rd Party systems
● Troubleshooting
● Share ideas on how to continuously improve the system and way of working
Requirements:
The desired candidate should have below skills:
● Working knowledge of Python with the Odoo-framework (minimum 4 years experience)
● Should be familiar with the latest versions of Odoo.
● Have experience with Object Oriented programming.
● Have knowledge of PostgreSQL.
● Should have experience with Python unit testing.
● Have experience with setup of interfaces between different systems using API’s.
● Should be familiar with Agile and Scrum methodology.
● Have experience with collaboration tools like Git, Buildout, Jira, Confluence, etc
● Have experience with Linux (Ubuntu)
● Experience with other frameworks of Python is a plus.
● Front-end experience (Javascript, CSS, HTML) is a plus. Non-technical requirements:
● You are available to join us in our Bangalore office from Day 1.
● You have strong communication skills.
● You have strong analytical skills.
● You are customer friendly and service minded.
● You are social, flexible, assertive and have a dynamic mindset.
● You are a teamplayer, but can also work independently.
About Eastvantage:
At Eastvantage, our mission is to create meaningful jobs and provide careers that are knowledge-based, inspiring, and always with the potential for development and growth. We are an independently-owned Global business solutions company enabling offshore operations from our locations in the Philippines, India, Bulgaria, Vietnam and Belgium. With European roots, we provide our services to global companies that have offices in every populated continent in the world. We have been in the industry for over a decade, growing from a handful to over 1200 happy employees over the years. We invite you to navigate through our website to get to know who we are, to see what sets us apart in culture and thinking. Join us and be part of our success story!
Responsibilities of the PHP Developer Role:
- Proficient in Laravel or other similar framework
- Knowledge of web technologies including HTML, CSS, Javascript, AJAX etc.
- Knowledge of relational databases, version control tools and of developing web services.
- A senior member of a team responsible for the development of the back office system.
- Write code to a high standard, in a timely and scalable way.
- Ensure that code is well structured and documented in best practice.
- Assist in writing development specs to enhance the system and to allow for more efficient work practices.
- Troubleshoot, test and maintain the core product software and databases to ensure strong optimization and functionality
- Create a test environment and roll out rigorous user testing practices.
- Assist senior management in evaluating and prioritizing system enhancements.









