We are looking for a highly self-motivated individual with VisionPlus (V+) (FAS & TRAMS) as a Lead Programmer Analyst:Experience should have 5 years to 10 years.Should have V+ FAS and TRAMS hands on ExperienceShould have strong development skills in Mainframes (Cobol, JCL, VSAM and CICS) Should be good in Authorization & Interchange Functionalities.Should lead and guide team size of 4 to 5.Knowledge in REXX, Eazy-retrieves.Team leading capabilities.Technical knowledge in DB2.V+ ITS knowledge.Understanding on the SDLC.Understanding on the Agile methodologies.Communication with customer and producing the Daily status report.Should have good oral and written communication.Should have strong Analytical & Problem-solving skills.Should be a good team member and ready to lead a team.Should be proactive and adaptive.Should be flexible to work in shifts.

We are looking for a highly self-motivated individual with VisionPlus (V+) (FAS & TRAMS) as a Lead Programmer Analyst:Experience should have 5 years to 7 years.Should have V+ FAS and TRAMS hands on ExperienceShould have strong development skills in Mainframes (Cobol, JCL, VSAM and CICS) Should be good in Authorization & Interchange Functionalities.Should lead and guide team size of 4 to 5.Knowledge in REXX, Eazy-retrieves.Team leading capabilities.Technical knowledge in DB2.V+ ITS knowledge.Understanding on the SDLC.Understanding on the Agile methodologies.Communication with customer and producing the Daily status report.Should have good oral and written communication.Should have strong Analytical & Problem-solving skills.Should be a good team member and ready to lead a team.Should be proactive and adaptive.Should be flexible to work in shifts.

Experience should have at least 5 years of experience in designing and developing Azure Data Factory Pipelines. Must have experience with at least one Columnar MPP Cloud data warehouse (Snowflake/Azure Synapse/Redshift) for at least 5 years. Experience in ETL tools like Fivetran and DBT for 2 years. Experience with Git and Azure DevOps. Experience in Agile, Jira, and Confluence. Solid understanding of programming SQL objects (procedures, triggers, views, functions) in SQL Server. Experience optimizing SQL queries a plus. Working Knowledge of Azure Architecture, Data Lake. Hands on programmer with a thorough understand of: o Performance tuning techniques. o Handling large data volume transformations (order of 100 GBs monthly). o Able to create solution / data flows to suit requirements. o Produce timely documentation e.g., mapping, UTR, defect / KEDB logs etc. Tech experience expected: o Primary: Snowflake, DBT (development & testing). o Secondary: Python, ETL or any data processing tool. o Nice to have - Domain experience in healthcare.Self-starter & learner. Able to understand and probe for requirements. Generate functional specs for code migration or ask right questions thereof. Looking for Immediate Joiners only.

We are looking for a highly self-motivated individual experience on .Net/Cloud Development (C#, MicroServices, AWS, EKS) as a Technical Lead/Architect:We are seeking a talented and motivated Application Developer to join our team. A key initiative within our platform. The ideal candidate will possess a versatile skill set, combining expertise in multiple programming languages and modern frameworks, as well as a strong understanding of cloud-based environments. This role offers the opportunity to work on cutting-edge technologies in a collaborative and fast-paced environment.Experience should have 5 to 14 years of exp on .Net (C#, MicroServices, AWS & EKS) development.Write clean, efficient, and maintainable code using a combination of programming languages and frameworks, including C#, MicroServices, AWS & Kubernetes (EKS).Experience with Hexagonal Architecture, Domain-Driven Design, CQRS, and distributed systems.Over six years of experience with the .NET and .NET Core ecosystem.Proficiency in at least one major cloud platform (Azure, AWS, or GCP).Experience with Kubernetes (EKS), and at least four years of experience with Docker and Docker Compose.Proven ability to contribute to proposals, design, and development of features in multiple projects.Good experience in using solid principals & Design patterns.Build and maintain scalable and reliable applications hosted in cloud environments such as Azure and AWS.Participate in code reviews to ensure code quality and adherence to development best practices.Strong development experience on MicroServices, Kubernetes (EKS) & Docker.Good to have experience with Angular, React, JavaScript, TypeScript.Debug, troubleshoot, and resolve application issues in a timely manner.Continuously research and adopt emerging technologies to enhance the integration's performance and functionality.Work closely with stakeholders to ensure alignment with business requirements and project timelines.Should have good oral and written communication.Should be a good team player.Should be proactive and adaptive.

We are looking for a highly self-motivated individual with Java Application Production Support as a Lead Programmer Analyst. Experience in distributed platform (Should have 5-8 years of Production Support experience in Distributed tech stack such as Java, API(IKP/SHP), Python, Windows, Linux/Unix, Unix commands, SQL, Oracle). Must have good knowledge in universal tools like Grafana, Splunk, AppDynamics, etc.Strong experience with Java, ideally in a production environment.Knowledge of frameworks such as Spring, Hibernate, or any other relevant libraries.Hands-on experience with API technologies, especially in IKP (Integration Knowledge Platform) and SHP (Service Hub Platform).Experience with API versioning, testing, and performance monitoring.Expertise in SQL for querying databases, performance tuning, and troubleshooting.Knowledge of supporting large-scale distributed platforms, including monitoring, alerting, troubleshooting, and incident management.Ability to configure and manage Grafana dashboards for monitoring distributed systems.Experience with Splunk for log aggregation, monitoring, and troubleshooting.Knowledge of AppDynamics for application performance monitoring and troubleshooting.Familiarity with version control tools to manage codebase changes.Should have good oral and written communication.Should be a good team player.Should be proactive and adaptive.

J2EE Application Production SupportWe are looking for a highly self-motivated individual with Java Application Production Support as a Lead Programmer Analyst. Experience in distributed platform (Should have 5-8 years of Production Support experience in Distributed tech stack such as Java, API(IKP/SHP), Python, Windows, Linux/Unix, Unix commands, SQL, Oracle). Must have good knowledge in universal tools like Grafana, Splunk, AppDynamics, etc.Strong experience with Java, ideally in a production environment.Knowledge of frameworks such as Spring, Hibernate, or any other relevant libraries.Hands-on experience with API technologies, especially in IKP (Integration Knowledge Platform) and SHP (Service Hub Platform).Experience with API versioning, testing, and performance monitoring.Expertise in SQL for querying databases, performance tuning, and troubleshooting.Knowledge of supporting large-scale distributed platforms, including monitoring, alerting, troubleshooting, and incident management.Ability to configure and manage Grafana dashboards for monitoring distributed systems.Experience with Splunk for log aggregation, monitoring, and troubleshooting.Knowledge of AppDynamics for application performance monitoring and troubleshooting.Familiarity with version control tools to manage codebase changes.Should have good oral and written communication.Should be a good team player.Should be proactive and adaptive.

AI & ML Model Development:•Execute PoCs and MVPs for AI and ML projects, focusing on practical implementation.•Develop and refine ML models, including supervised and unsupervised learning algorithms.•Build and deploy GenAI solutions, such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, and chatbots.•Collaborate with AI Engineers to integrate models into enterprise applications.Data Handling & Preprocessing:•Collect, clean, and preprocess data to ensure quality inputs for model training.•Conduct exploratory data analysis (EDA) to uncover insights and inform model development.•Work with Data Engineers to ensure smooth data pipelines and infrastructure.Model Evaluation & Optimization:•Evaluate model performance using appropriate metrics and fine-tune algorithms for optimal results. Technical Skills:•Proficient in Python and SQL for data manipulation and model development.•Familiarity with ML frameworks and libraries such as scikit-learn, TensorFlow, or PyTorch.•Experience with data visualization tools (e.g., Matplotlib, Seaborn) and EDA techniques.•Basic understanding of MLOps tools like MLflow, Airflow, or similar is an advantage.•Exposure to cloud platforms (Azure, AWS, GCP) for AI/ML model deployment is a plus. SKILLSGen AILang chainLlamaWorking experience with Text, Multi Model, and images

About the RoleWe are looking for an AI Lead for our team of Data Scientists in Pune. This role will focus on leading the development, deployment, and monitoring of AI and machine learning solutions, including Generative AI (GenAI) technologies such as chatbots. The ideal candidate will have experience working in an onshore-offshore model, with a strong background in AI/ML development and operational best practices. This role requires close collaboration with the onshore AI Manager and cross-functional teams including AI Ops, ML Engineering, and Data Engineering.Key ResponsibilitiesAI Model Development & Deployment:•Lead the offshore team in building, deploying, and managing AI/ML models, including traditional machine learning and GenAI solutions (e.g., LLMs, RAG systems).•Collaborate with AI Engineers to integrate models into enterprise applications and workflows.•Support the implementation of CI/CD pipelines for efficient model deployment and scaling.Monitoring & Performance Optimization:•Develop monitoring systems to track model performance, latency, and drift.•Implement feedback loops for continuous model improvement in collaboration with data scientists.•Monitor GenAI outputs for issues like bias, hallucinations, and security vulnerabilities.MLOps & Automation Best Practices:•Establish MLOps practices to support continuous integration and deployment of AI models.•Automate model retraining, versioning, and rollback strategies.•Collaborate with AI Ops and Data Engineers to ensure smooth data and model pipelines.Security & Compliance:•Implement security measures to safeguard AI systems from data leaks, prompt injections, and unauthorized access.•Ensure AI solutions comply with relevant privacy and regulatory standards (e.g., HIPAA, GDPR).•Regularly audit AI pipelines for ethical practices and data governance.Collaboration & Communication:•Work closely with the onshore AI Manager and cross-functional teams to align AI initiatives with business goals.•Facilitate effective communication between onshore and offshore teams.•Contribute to documentation, playbooks, and best practices for AI operations.Team Leadership & Development:•Manage and mentor a team of data scientists, fostering professional growth and collaboration.•Encourage an innovative, problem-solving culture within the team.Qualifications & SkillsEducation:•Bachelors or Masters degree in Computer Science, Data Science, AI, or a related field.•Certifications in cloud platforms (Azure, AWS, GCP) or MLOps frameworks are a plus.Experience:•5 years of experience in Data Science, with 2+ years of experience leading AI/ML development and operations in onshore/offshore model.•Hands-on experience with deploying AI models, including LLMs and GenAI solutions.•Experience working with cloud AI platforms (Azure AI, AWS SageMaker, Google Vertex AI).Technical Skills:•Proficient in Python and SQL•Familiarity with MLOps tools like MLflow, Kubeflow, or Airflow.•Experience with monitoring tools (Prometheus, Grafana) for AI performance.•Knowledge of containerization and orchestration tools (Docker, Kubernetes).•Proficiency in scripting languages like Python or Bash.•Understanding of CI/CD pipelines (Jenkins, GitHub Actions) for model deployment.Soft Skills:•Strong problem-solving abilities and a proactive approach to troubleshooting.•Excellent collaboration skills with cross-functional teams.•Results-driven mindset with a focus on operational efficiency and scalability.•Ability to thrive in a fast-paced, dynamic environment.

AI-Ops EngineeringQualifications & Skills:Education: Bachelors or Masters degree in Computer Science, Data Engineering, AI, or a related field. Relevant certifications in cloud platforms (AWS, Azure, GCP) or MLOps frameworks are a plus.Experience: 3+ years of experience in AI/ML operations, MLOps, or DevOps for AI-driven solutions. Hands-on experience deploying and managing AI models, including LLMs and GenAI solutions, in production environments. Experience working with cloud AI platforms such as Azure AI, AWS SageMaker, or Google Vertex AI.Technical Skills: Proficiency in MLOps tools and frameworks such as MLflow, Kubeflow, or Airflow. Hands-on experience with monitoring tools (Prometheus, Grafana, ELK Stack) for AI performance tracking. Experience with containerization and orchestration tools (Docker, Kubernetes) to support AI workloads. Familiarity with automation scripting using Python, Bash, or PowerShell. Understanding of GenAI-specific operational challenges such as response monitoring, token management, and prompt optimization. Knowledge of CI/CD pipelines (Jenkins, GitHub Actions) for AI model deployment. Strong understanding of AI security principles, including data privacy and governance considerations.Key Responsibilities:AI Model Deployment & Integration: Deploy and manage AI/ML models, including traditional machine learning and GenAI solutions (e.g., LLMs, RAG systems). Implement automated CI/CD pipelines for seamless deployment and scaling of AI models. Ensure efficient model integration into existing enterprise applications and workflows in collaboration with AI Engineers. Optimize AI infrastructure for performance and cost efficiency in cloud environments (AWS, Azure, GCP).Monitoring & Performance Management: Develop and implement monitoring solutions to track model performance, latency, drift, and cost metrics. Set up alerts and automated workflows to manage performance degradation and retraining triggers. Ensure responsible AI by monitoring for issues such as bias, hallucinations, and security vulnerabilities in GenAI outputs. Collaborate with Data Scientists to establish feedback loops for continuous model improvement.Automation & MLOps Best Practices: Establish scalable MLOps practices to support the continuous deployment and maintenance of AI models. Automate model retraining, versioning, and rollback strategies to ensure reliability and compliance. Utilize infrastructure-as-code (Terraform, CloudFormation) to manage AI pipelines.Security & Compliance: Implement security measures to prevent prompt injections, data leakage, and unauthorized model access. Work closely with compliance teams to ensure AI solutions adhere to privacy and regulatory standards (HIPAA, GDPR). Regularly audit AI pipelines for ethical AI practices and data governance.Soft Skills: Strong problem-solving skills with the ability to troubleshoot complex AI operational issues. Excellent communication skills to effectively collaborate with cross-functional stakeholders. Proactive and results-driven mindset with a focus on operational efficiency and scalability. Ability to work effectively in a fast-paced, dynamic environment.

Salesforce Developer (Exp: 0 to 2 years) - Q-City, HyderabadAre you a skilled Salesforce Developer looking for an exciting opportunity to work with a thriving product-based company? Look no further! We are currently seeking a talented Salesforce Developer to join our dynamic team at our Hyderabad location.If you are a passionate Salesforce Developer seeking a challenging yet rewarding opportunity, we invite you to be a part of our talented product team. Join us in our mission to deliver innovative solutions and make a global impact.Role and Responsibilities:As a Salesforce Developer, you will play a crucial role in designing, developing, and implementing customised Salesforce solutions to meet the needs of our diverse clientele. You will be responsible for leveraging your expertise in Salesforce development to create efficient and scalable solutions that drive business growth and enhance user experiences. Your role will involve collaborating with cross-functional teams to understand requirements, troubleshoot issues, and continuously improve our Salesforce platform.Qualifications and Requirements:Looking for a trained Salesforce developer with 0-2 years of experience.Salesforce Development Certification is must.Proficiency in Apex, Aura, and Lightning Web Components.Excellent problem-solving skills and ability to work effectively in a team-oriented environment.Strong communication skills to effectively interact with stakeholders and understand business needs.Please share your updated resume to the mentionednidhi.mudun@bilvantis.io

Role & responsibilities Lead Generation & Market Research Identify potential clients that align with Bilvantis services. Conduct industry and competitor research to refine target lists. Generate leads via outbound emails, cold calls, and LinkedIn outreach. Maintain a pipeline of qualified prospects for business development. Client Engagement & Proposal Support Assist in crafting client communications, sales decks, and proposals. Participate in initial client interactions to understand business needs. Work closely with internal teams to align solutions with client requirements. Ensure prompt follow-ups and documentation for ongoing deals. Sales Operations & Reporting Maintain CRM records with updated lead, account, and activity data. Create MIS reports and Power BI dashboards to track key sales metrics. Provide insights into outreach performance to optimize sales strategies. Collaborate with marketing and sales teams to improve processes. Preferred candidate profile : Should have 2 years of experience in IT Marketing, Sales, or Business with MBA or equivalent degree. Strong written and verbal communication skills. Basic understanding of B2B sales and technology-driven business landscapes. Proficiency in MS Office (Excel, PowerPoint, Word). Familiarity with CRM tools and Power BI is an advantage. Strong analytical thinking and problem-solving abilities. A proactive, detail-oriented, and collaborative team player Why Join Us? Fast-paced, high-growth environment with career advancement opportunities. Hands-on experience with industry-leading B2B sales strategies. Work alongside a dynamic and collaborative team. If you are passionate about sales, business development, and client engagement, we invite you to be part of our team. Apply now and take the first step toward an exciting sales career! Please share your updated resume to nidhi.mudun@bilvantis.io