Senior AI Engineer Relevant Experience: 5 - 8 Years Work Location: Hyderabad Working Days: 5 Days Notice Period: Immediate or 15 days maximum. Job Overview: We are seeking a highly skilled and experienced Senior Data Scientist with expertise in Machine Learning (ML), Generative AI (GenAI), and Deep Learning (DL). Mandatory Skills • 5+ years of work experience in writing code in Python •Experience in using various Python libraries like Pandas, NumPy •Experience in writing good quality code in Python and code refactoring techniques (e.g., IDE’s – PyCharm, Visual Studio Code; Libraries – Pylint, pycodestyle, pydocstyle, Black) •Deep understanding of data structures, algorithms, and excellent problem-solving skills •Experience in Python, Exploratory Data Analysis (EDA), Feature Engineering, Data Visualisation • Machine Learning libraries like Scikit-learn, XGBoost • Experience in CV, NLP or Time Series. • Experience in building models for ML tasks (Regression, Classification) • Should have Experience into LLM, LLM Fine Tuning, Chatbot, RAG Pipeline Chatbot, LLM Solution, Multi Modal LLM Solution, GPT, Prompt, Prompt Engineering, Tokens, Context Window, Attention Mecanism, Embeddings •Experience of model training and serving on any of the cloud environments (AWS, GCP, Azure) •Experience in distributed training of models on Nvidia GPU’s •Familiarity in Dockerizing the model and create model end points (Rest or gRPC) •Strong working knowledge of source code control tools such as Git, Bitbucket •Prior experience of designing, developing and maintaining Machine Learning solution through its Life Cycle is highly advantageous •Strong drive to learn and master new technologies and techniques •Strong communication and collaboration skills •Good attitude and self-motivated  Work environment – we have an environment to create an impact on the client business and transform innovative ideas into reality. Even our junior engineers get the opportunity to work on different product features in complex domains  Open communication, flat hierarchy, plenty of individual responsibility Show more Show less

Relevant Experience: 7+ Years Work Location: Hyderabad Working Days: 5 Days Notice Period: Immediate or 15 Days Mandatory Skills • 4+ years of hand on work experience in writing code in Python • Experience in using various Python libraries like Pandas, NumPy • Experience in writing good quality code in Python and code refactoring techniques (e.g., IDE’s – PyCharm, Visual Studio Code; Libraries – Pylint, pycodestyle, pydocstyle, Black) • Strong experience on AI assisted coding experience. • AI assisted coding for existing IDE's like vscode. • Experimented multiple AI assisted tools and done research around it. • Deep understanding of data structures, algorithms, and excellent problem-solving skills • Experience in Python, Exploratory Data Analysis (EDA), Feature Engineering, Data Visualisation • Machine Learning libraries like Scikit-learn, XGBoost • Experience in CV, NLP or Time Series. • Experience in building models for ML tasks (Regression, Classification) • Should have Experience into LLM, LLM Fine Tuning, Chatbot, RAG Pipeline Chatbot, LLM Solution, Multi Modal LLM Solution, GPT, Prompt, Prompt Engineering, Tokens, Context Window, Attention Mechanism, Embeddings • Experience of model training and serving on any of the cloud environments (AWS, GCP, Azure) • Experience in distributed training of models on Nvidia GPU’s • Familiarity in Dockerizing the model and create model end points (Rest or gRPC) • Strong working knowledge of source code control tools such as Git, Bitbucket • Prior experience of designing, developing and maintaining Machine Learning solution through its Life Cycle is highly advantageous • Strong drive to learn and master new technologies and techniques • Strong communication and collaboration skills • Good attitude and self-motivated Show more Show less

Hi , We have an Opportunity for SalesOps Lead Role. Job Description Salesforce Data Management and Administration [Primary] Managing Salesforce data quality, including deduplication and data cleanup. Ensuring accurate and up-to-date customer and sales data. Importing, exporting, and updating large datasets using tools like Data Loader. Managing user roles, profiles, and permissions within Salesforce. Process Optimization [Primary] Designing and refining sales processes to align with business goals. Automating repetitive tasks using workflows, process builder, or Flow. Ensuring alignment between Salesforce processes and company objectives. Reporting and Analytics [Primary] Creating and maintaining dashboards and reports to provide insights into sales performance. Monitoring key metrics like pipeline health, win rates, and sales forecasts. Supporting leadership with data-driven decision-making. Salesforce Training and Support [Primary] Onboarding and training sales team members to effectively use Salesforce. Providing ongoing user support and troubleshooting issues. Sharing best practices to enhance user adoption. Sales Technology Integration [Secondary] Integrating Salesforce with other tools like marketing automation platforms (e.g., HubSpot, Pardot), communication tools, or ERP systems. Managing apps and third-party integrations from the Salesforce AppExchange. Forecasting and Planning [Primary] Assisting in sales forecasting by leveraging Salesforce data. Supporting territory planning and quota assignments. Identifying trends and opportunities to enhance sales strategies. Compliance and Governance [Secondary] Ensuring compliance with data privacy laws and company policies. Managing Salesforce security settings to safeguard data. Collaboration with Cross-Functional Teams [Primary] Working closely with marketing, customer success, and finance teams to streamline operations. Acting as a liaison between the sales team and technical teams to implement Salesforce updates or new features. System Maintenance and Improvements [Primary] Monitoring system performance and addressing any issues. Managing Salesforce updates and releases to ensure the system is up-to-date. Customizing Salesforce through configuration (e.g., page layouts, fields) and working with developers on advanced customizations when needed. Strategic Support [Secondary] Providing insights to leadership about process improvements and technology adoption. Identifying opportunities for increasing sales productivity through Salesforce enhancements. Other Salesforce related activities [Primary] Perform administrative tasks in Salesforce related to day-to-day business. Define automation and improvement tasks in Salesforce to and work with the Salesforce System Admin and Salesforce Developer to get them delivered. Perform day to day business activities, examples of which are mentioned below but are not limited to these: Data Load OR Data Clean up Changes related to product and its price Report and Dashboard Creation User Creation (onboarding) / Updating (Offboarding) / Permission assignment Salesforce User Training Handle data related issues and work with salesforce developers for whereas bugs and enhancements. Keep an eye on org performance and take actions to maintain it. Duplicate records management Identifying the areas where we have duplicates and identifying the ways they can be resolved and how the sanity can be maintained. Release management for Salesforce features and functionalities Work with all the functions of the client that work on or have any touch points with Salesforce Sandbox account management Integration and app management Accounting and Forecasting Work with the leadership to ensure that the Salesforce system is always up to date with automation and its functional and technical architecture based on changing business needs

We are looking for a visionary and technically adept AI Technical Architect to lead the design, development, and deployment of scalable AI/ML solutions across the enterprise. This role blends deep technical expertise with strategic leadership to deliver innovative, secure, and ethical AI systems. You will work closely with cross-functional teams to architect intelligent platforms that align with organizational goals and drive meaningful business impact. Location: Hyderabad/ Remote Experience: 9+ Years Key Responsibilities Architect and build cloud-native AI/ML platforms using AWS (SageMaker, Bedrock), Azure (ML, OpenAI), or GCP (Vertex AI, BigQuery, LangChain). Lead the end-to-end development of cutting-edge AI solutions, including Retrieval-Augmented Generation (RAG) pipelines, summarization tools, and virtual assistants. Design and implement robust MLOps and LLMOps frameworks to support CI/CD, model versioning, retraining, monitoring, and production observability. Ensure all AI solutions adhere to Responsible AI practices, focusing on explainability, fairness, bias mitigation, auditability, and compliance with regulations (e.g., GDPR, HIPAA). Integrate AI models seamlessly with enterprise data pipelines, APIs, and business applications to support real-time and batch inference workflows. Oversee the full ML lifecycle—from data preparation and feature engineering to model training, tuning, deployment, and monitoring. Collaborate with cross-functional teams including data engineers, product managers, and business stakeholders to ensure alignment with strategic initiatives. Leverage deep learning architectures (CNNs, RNNs, Transformers) to address use cases in NLP, computer vision, and forecasting. Define AI governance frameworks, including audit trails, bias detection protocols, and model transparency mechanisms. Provide mentorship and technical leadership to data scientists and AI engineers. Continuously evaluate new AI technologies, research advancements, and industry best practices to evolve architectural standards and drive innovation. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, AI/ML, or a related field. 9+ years of overall software development experience, with at least 3 years in AI/ML architecture or technical leadership. Expertise in Python and ML frameworks such as TensorFlow, PyTorch, and Scikit-learn. Proven experience deploying AI models at scale in production environments. Strong grasp of modern data architectures including data lakes, data warehouses, and ETL/ELT pipelines. Proficient with containerization (Docker), orchestration (Kubernetes), and cloud-based ML platforms (AWS Sagemaker, Azure ML, GCP Vertex AI). Hands-on experience with MLOps tools such as MLflow, Kubeflow, and Airflow. Familiarity with LLMs, prompt engineering, and language model fine-tuning is a plus. Exceptional communication skills with the ability to influence and collaborate across teams. Demonstrated experience mentoring engineers and leading technical initiatives. Candidates with prior experience in Healthcare or Telecom domains will be strongly preferred , especially those who have delivered domain-specific AI solutions aligned to regulatory, operational, or customer engagement needs. Preferred Qualifications Industry certifications in AI/ML or cloud architecture (e.g., AWS Machine Learning Specialty, Google Cloud ML Engineer). Experience with RAG pipelines and vector databases like Pinecone, FAISS, or Weaviate. Deep understanding of ethical AI principles and regulatory compliance requirements. Prior involvement in architectural reviews, technical steering committees, or enterprise-wide AI initiatives. Why Veltris? AI-First Company: Veltris is built on the foundation of AI. We enable clients to build advanced products using the latest technologies including Machine Learning (ML), Deep Learning (DL – CV, NLP), and MLOps. Proprietary AI Framework: We've developed a full-stack AI framework to accelerate clients' ML model development and deployment lifecycle. Explore: Insight.AI NVIDIA Partnership: We are a part of the NVIDIA Partner Network as a Professional Services Partner, delivering solutions powered by NVIDIA’s GPU and software ecosystem. Read more Cutting-Edge Research: We collaborate with academic institutions and research organizations to address complex problems in domains like medical imaging, biopharma, life sciences, legal, retail, and agriculture. Empowered Work Environment: Every team member, including junior engineers, works on impactful features in complex domains, contributing to real-world client success. Culture: Open communication, flat hierarchy, and a strong culture of ownership and innovation. Show more Show less

What you will do Implement cloud-based defence-in-depth controls for Cloud environments. Improve the cloud security posture by conguring guardrails like AWS Cong, Guard Duty, Inspector, Security Hub, Security Control Policies, etc., Develop cloud-based programs to detect possible vulnerabilities and risks Design and Manage identity and access management and RBAC policies. Hardening cloud platforms and services congurations such as encryption at rest and transit. Build automation scripts using API calls and CLI to identify and remediate non-compliant cloud congurations. Leverage Infrastructure as Code (IaC) to automate cloud security congurations and deployments. Automate security controls, data and processes to provide better metrics and enhance operational support. Responsible for integration of security development practices into DevOps life cycle Create and maintain detailed technical documentation and runbooks for implemented security controls and processes. Perform security assessments, including incident analysis, vulnerability scans, patch status tracking, and secure baseline evaluations. Implement container scanning for any vulnerabilities and Congure WAF rules. Assist in investigating and resolving routine security questions and inquiries. Coordinate and track all security-related audits. You are a successful candidate if 4-6 years of practical experience with AWS security as a Cloud or Security operations Networking expertise including Subnetting, Routing, ACL, and Security Groups. In-depth experience around CLI, Cloud principles, VPC, Cloud native services and Cloud APIs in AWS environment Expertise in Cloud automation tools Terraform, Cloud formation, version Control systems like GitLab/GitHub Solid scripting skills in languages such as Python and Shell scripting. In depth knowledge of common monitoring tools like Cloud watch & Datadog. Strong expertise with CI/CD solutions. Experience working with container technology including AKS or ECS/EKS Excellent problem solving, interpersonal, communication and presentation skills. Experience working in a fast-paced, Agile environment Experience in cyber security capabilities (SIEM, SOC, Vulnerability Management, Threat intelligence, etc.) Exposure to regulatory frameworks such as GDPR, HIPAA, and PCI-DSS. Nice-To-Have: Good understanding of security principles (focusing predominantly on cloud-based) and protocols (at all layers) Experience with cloud security posture management tools like Cloud guard, Prisma Cloud, Orca Security, etc. Web security and compliance experience in tools like Cloudare and AWS WAF. Exposure to container scanning tools Expertise with vulnerability scanning tools. Knowledge of Single Sign-On (SSO) technologies, including SAML, Entra ID (formerly Azure AD), or other identity federation methods. Relevant certifications such as AWS Certified Security Specialty, CCSP, or equivalent

Role: Data Scientist Experience: 4-8 Years Working Days: 5 Days Work Mode: Hybrid (One week work from office in a month) Location: Bangalore/ Chennai Notice Period – Immediate or 15 days maximum You are a successful resource for this role, if you have- · 3+ years of experience in applied data science , preferably in real-time or simulation-based environments. · Strong proficiency in Python , NumPy, Pandas , and deep learning frameworks like PyTorch or TensorFlow. · Experience with time-series analysis , Bayesian models, or probabilistic forecasting. · Understanding of reinforcement learning , especially multi-agent settings. · Knowledge of vehicle kinematics, trajectory forecasting, or intelligent transportation systems.

Role : Data Scientist Experience : 4-8 Years Working Days : 5 Days Work Mode : Hybrid (One week work from office in a month) Location : Bangalore/Chennai Notice Period - Immediate or 15 days maximum Key Responsibilities Design and develop predictive and prescriptive models using real-time and simulation-based data. Apply advanced techniques in time-series analysis, Bayesian inference, and probabilistic forecasting. Build and train deep learning models using PyTorch or TensorFlow for dynamic and high-dimensional datasets. Leverage reinforcement learning (RL) concepts, particularly in multi-agent environments, to model complex decision-making problems. Collaborate with engineering and product teams to integrate models into production environments. Conduct trajectory prediction, anomaly detection, or behavior modeling in contexts such as vehicle movement or intelligent systems. Utilize domain-specific knowledge such as vehicle kinematics and intelligent transportation systems to inform model design. Skills And Experiences Required 3+ years of experience in applied data science, preferably in real-time or simulation-based environments. Strong proficiency in Python, NumPy, Pandas, and deep learning frameworks like PyTorch or TensorFlow. Experience with time-series analysis, Bayesian models, or probabilistic forecasting. Understanding of reinforcement learning, especially multi-agent settings. Knowledge of vehicle kinematics, trajectory forecasting, or intelligent transportation systems. (ref:hirist.tech)

Responsibilities Accurately input, update, and maintain data in company systems or databases. Verify the accuracy of information and resolve any discrepancies. Organize and manage data files to ensure easy retrieval and access. Follow data entry protocols to meet confidentiality and security standards. Collaborate with team members to ensure data consistency across departments. Generate reports from data systems as management requests. Perform routine quality checks to ensure data integrity. Requirements Prior experience in data entry or a similar role is preferred but not required. Excellent typing speed and accuracy. Strong attention to detail and organizational skills. Proficiency in Microsoft Office Suite (Excel, Word) or similar software. Familiarity with database systems or CRM platforms is a plus. Ability to meet deadlines and manage multiple tasks efficiently. Preferred Attributes Self-motivated, proactive with good English communication skills. Demonstrated ability to handle sensitive and confidential information with discretion. Strong organizational and time management skills. This job was posted by Sheenam Sapra from Veltris.

We are seeking a dynamic and results-driven Business Development Manager to drive the company's sales pipeline from India while focusing on the US healthcare market. The ideal candidate will have a strong understanding of healthcare sales, experience working with US clients or markets, and a proven ability to generate high-quality leads and build strategic customer relationships. Responsibilities Identify, qualify, and develop new business opportunities in the US healthcare market. Conduct market research to identify potential clients and decision-makers within the healthcare sector. Generate and nurture leads through various channels, including cold calls, emails, social media, and industry events. Collaborate closely with the sales and marketing teams to align messaging and sales strategies. Schedule meetings with qualified prospects. Maintain accurate records of all sales activities in the CRM system. Track KPIs and prepare regular reports on lead generation and conversion metrics. Stay updated with industry trends, regulatory changes, and competitor activities in the US healthcare market. Requirements 6 plus years of experience in sales development or business development roles. Prior experience in the healthcare domain is mandatory. Proven track record of working with or targeting the US market, especially in healthcare. Excellent verbal and written communication skills in English. Strong understanding of the sales cycle, lead generation tools, and CRM platforms (e. g., Zoho, Salesforce, HubSpot). Self-motivated, detail-oriented, and goal-driven. Ability to work independently and in a cross-functional global team. Experience in selling consulting, custom software development projects, or technology-driven healthcare solutions. Good to have familiarity with US healthcare systems, payers, providers, and compliance frameworks like HIPAA. Bachelor's or master's degree in Engineering, business, Marketing, or a related field. This job was posted by Sheenam Sapra from Veltris.

Veltris is a Digital Product Engineering Services partner committed to driving technology-enabled transformation across enterprises, businesses, and industries. We specialize in delivering next-generation solutions for sectors including healthcare, technology, communications, manufacturing, and finance. With a focus on innovation and acceleration, Veltris empowers clients to build, modernize, and scale intelligent products that deliver connected, AI-powered experiences. Our experience-centric approach, agile methodologies, and exceptional talent enable us to streamline product development, maximize platform ROI, and drive meaningful business outcomes across both digital and physical ecosystems. In a strategic move to strengthen our healthcare offerings and expand industry capabilities, Veltris has acquired BPK Technologies. This acquisition enhances our domain expertise, broadens our go-to-market strategy, and positions us to deliver even greater value to enterprise and mid-market clients in healthcare and beyond. Job Summary Serve as a Software Development Engineer Lead in the iOS Team. Advocate for quality on the scrum team, assisting with planning, design, and verification of user stories. Mentor team members, identifying and escalating defects, working with cross-functional product teams, and tracking issue resolutions. Ensure user stories meet acceptance criteria and have sufficient automation. Create and maintain a robust and maintainable regression test suite, introducing tools to improve testing practices. Confidently make technical decisions and assume responsibility. Key Requirements Skill in using coding standards and active participation in code reviews. Eagerness to learn new technologies quickly. Strong time management skills with a history of meeting commitments. Excellent verbal and written communication skills. You are an energetic individual with strong written and communication skills and a team-oriented mindset. You will design test specs and create test strategies for both new and existing application features. Responsibilities include creating and organizing test cases for automated and manual execution, monitoring automated suite results, increasing test coverage, and representing testing needs in software requirements and design reviews. Experience with test and development best practices, patterns, and processes. Familiarity with Android development, covering both functional and non-functional aspects. Technical Skills Swift, C, and Objective-C programming. Strong programming and analytical skills. Threading, processes, TDD, BDD, Agile methodologies. Proficiency with COCOA, Application Lifecycle, XCode. Experience in technical leadership. Ability to create reports for stakeholders. Understanding of software development best practices. Attention to detail and product quality. Research technical advancements to improve testing for new or existing products. Job Requirements Qualifications: BE/BTech/MCA from a reputed institution Total Experience: 4 to 5 years in the industry Functional Skill Sets: iOS information provided herein is for general informational purposes only and reflects the current strategic direction and service offerings of Veltris. While we strive for accuracy, Veltris makes no representations or warranties regarding the completeness, reliability, or suitability of the information for any specific purpose. Any statements related to business growth, acquisitions, or future plans, including the acquisition of BPK Technologies, are subject to change without notice and do not constitute a binding commitment. Veltris reserves the right to modify its strategies, services, or business relationships at its sole discretion. For the most up-to-date and detailed information, please contact Veltris directly. (ref:hirist.tech)