Roles and Responsibility : Work as a team player and build sales as per quarterly targets Must be proficient to create new business opportunities and work towards closure in conjunction with other team members within the organization Identify potential customers and front-end partners willing to consume company services Regular touchbase with customers through phone calls / web meetings and email and ensure timely conversion of the leads and business booking Ability to identify right prospects and convert them in customers Achieve targeted sales in assigned region. Successfully penetrate and meet sales growth as per given customer profiles Share feedback on regular basis with reporting manager Optimize opportunities to engage in cross-selling with both internal and external partners Act as a key spokesperson for the organization and have frequent contact with executive-level representatives from customers, strategic business partners, industry associations. Effectively oversee day-to-day operations and ensure that performance is on track to achieve the objectives
Roles and Responsibility : 1. Database and Datawarehouse Expertise: Demonstrate excellent understanding of Database and Datawarehouse concepts. Strong proficiency in writing SQL queries. 2. Snowflake Cloud Data Warehouse: Design and implement Snowflake cloud data warehouse. Develop and implement cloud-related architecture and data modeling. 3. Migration Projects: Manage migration projects, specifically migrating from On-prem to Snowflake. 4. Snowflake Capabilities: Utilize comprehensive knowledge of Snowflake capabilities such as Snow pipe, Stages, SnowSQL, Streams, and tasks. 5. Advanced Snowflake Concepts: Implement advanced Snowflake concepts like setting up resource monitor, RBAC controls, Virtual Warehouse sizing, Zero copy clone. 6. Data Migration Expertise: Possess in-depth knowledge and experience in data migration from RDBMS to Snowflake cloud data warehouse. 7. Snowflake Feature Deployment: Deploy Snowflake features such as data sharing, event, and lake house patterns. 8. Incremental Extraction Loads: Execute Incremental extraction loads, both batched and streaming.
Roles and Responsibility : Develop expertise in the different upstream data stores and systems. Design, develop and maintain data integration pipelines for growing data sets and product offerings. Build testing and QA plans for data pipelines. Skillful in ETL Data Engineering. Build data validation testing frameworks to ensure high data quality and integrity. Write and maintain documentation on data pipelines and schemas Extensive experience in data integration tools to analyse root cause and provide a fix for production and development issues. Good in Understanding of Hive, Spark, Hadoop architecture and optimization.
Roles and Responsibility : Design, develop, and maintain Tableau dashboards and reports to visualize data insights and support business objectives. Collaborate with stakeholders to gather requirements and translate them into effective visualizations. Optimize Tableau performance and ensure scalability of dashboards for large datasets. Develop and maintain SQL queries for data transformation, and Analytics processes. Work closely with the data engineering team to ensure the availability and quality of data for reporting purposes. Conduct thorough testing and validation of Tableau dashboards to ensure accuracy and reliability of data visualizations. Provide technical support and troubleshooting assistance to end-users regarding Tableau dashboards and related data issues. Stay updated with the latest Tableau features, best practices, and industry trends to continuously improve reporting solutions. Solid RDMS experience and data modeling and advanced querying skills. Strong ability to extract information by questioning, active listening, and interviewing. Awareness of agile/iterative approaches. Strong analytical and problem-solving skills. Excellent writing skills, with the ability to create clear requirements, specifications, and documentation Experience using JIRA / Confluence is needed.
Roles and Responsibility : Develop and implement a reusable architecture of data pipelines to make data available for various purposes including Machine Learning (ML), Analytics and Reporting Work collaboratively as part of team engaging with system architects, data scientists and business in a healthcare context Define hardware, tools and software to enable the reusable framework for data sharing and ML model productionization Work comfortably with structured and unstructured data in a variety of different programming languages such as SQL, R, python, Java etc Understanding of distributing programming and advising data scientists on how to optimally structure program code for maximum efficiency Build data solutions that leverage controls to ensure privacy, security, compliance and data quality Understand meta-data management systems and orchestration architecture in the designing of ML/AI pipelines. Deep understanding of cutting edge cloud technology and frameworks to enable Data Science System integration skills between Business Intelligence and source transactional Improving overall production landscape as required Define strategies with Data Scientists to monitor models post production Write unit tests and participate in code reviews
Roles and Responsibility : 1. Database Design and Development: Design, develop, and maintain efficient PL/SQL code to support various applications. Collaborate with software developers to integrate PL/SQL code with other applications. 2. Performance Tuning: Identify and address performance bottlenecks in the database systems. Optimize SQL queries and procedures for enhanced efficiency. 3. Data Management: Ensure data integrity, security, and optimal storage management. Develop and maintain data migration, transformation, and scripting processes. 4. Troubleshooting and Support: Diagnose and resolve database-related issues in a timely manner. Provide technical support to end-users and other team members. 5. Documentation: Create and maintain documentation related to database architecture, design, and procedures.As an Oracle PL/SQL Developer, you will be responsible for the development, testing, implementation, and maintenance of Oracle-based applications. Your primary focus will be on designing and implementing efficient database solutions, ensuring high performance, and collaborating with cross-functional teams to deliver quality software.
Roles and Responsibility : Design and implement efficient data models in Power BI to support business requirements. Ensure data models are scalable, optimized, and maintainable. Develop and optimize DAX formulas for creating calculated columns, measures, and calculated tables. Implement complex calculations and business logic in DAX. Design and implement ETL processes using Power Query to transform and load data into Power BI. Ensure data quality and integrity through effective data cleansing techniques. Integrate Power BI with Power Apps and Power Automate to create end-to-end solutions. Develop custom applications and automate business processes. Design and manage data flows to streamline data integration and transformation. Optimize data flow processes for improved performance. Write and optimize SQL queries for data extraction and manipulation. Collaborate with the database team to ensure efficient data retrieval. Create and maintain comprehensive documentation for Power BI solutions, data models, and processes. Ensure documentation is up-to-date and accessible to the team. Collaborate with cross-functional teams to understand business requirements and deliver effective BI solutions. Provide guidance and support to junior team members.
We are seeking a skilled and innovative AI/ML Engineer to design, develop, and implement machine learning models and artificial intelligence solutions that drive business impact. The ideal candidate will have strong experience in data science, statistical modeling, and deep learning frameworks, along with the ability to work in cross-functional teams. Build and deploy scalable ML models for classification, regression, recommendation, or NLP tasks. Collect, clean, and preprocess large datasets from various sources. Design and run experiments to evaluate model performance and improve accuracy. Collaborate with software engineers to integrate models into production systems. Stay updated with the latest AI/ML research and technologies to apply best practices. Optimize model performance and ensure alignment with business goals.
Roles and Responsibility : 1. Front-End Integration: Integrate front-end components with server-side logic and APIs. Ensure cross-platform optimization for mobile phones and responsiveness of applications. 2. State Management: Expertise in state management tools like Redux or Context API. Implement well-organized and efficient state management strategies. 3. Testing and Debugging: Write robust tests using frameworks like Jest and Enzyme. Debug and resolve technical issues in a timely manner. 4. Performance Optimization: Optimize applications for speed and performance. Implement code-splitting and lazy-loading techniques. 5. Code Review and Version Control: Conduct code reviews to ensure high code quality. Maintain version control using Git or similar systems. 6. Collaboration and Communication: Work closely with cross-functional teams including designers, backend developers, and product managers. Clearly communicate technical concepts to non-technical stakeholders.
Roles and Responsibility : Collaborate with stakeholders to understand business requirements and data needs. Translate business requirements into scalable and efficient data engineering solutions. Design, develop, and maintain data pipelines using AWS serverless technologies. Implement data modeling techniques to optimize data storage and retrieval processes. Develop and deploy data processing and transformation frameworks for real-time and batch processing. Ensure data pipelines are scalable, reliable, and performant for large-scale data sizes. Implement data documentation and observability tools and practices to monitor...
Job Title: Outside Sales Representative – Manufacturing Vertical Experience: 15+ Years Location: United States (Remote with Travel) Department: Sales and Marketing Job Type: Full Time Preferred Immediate Joiner About Us: Kenexai is an emerging AI consulting and services firm helping industrial enterprises unlock measurable outcomes through AI-automation, advanced analytics and data-driven transformation. We specialize in building industry-specific accelerators and delivering tailored consulting engagements that address real operational challenges across manufacturing, life sciences, and other complex verticals. Role Overview: We’re looking for a driven, entrepreneurial Outside Sales Representative to help scale our U.S. presence in the manufacturing vertical. This is a hands-on, hunter role ideal for someone who thrives in startup environments, where there’s no brand recognition and every conversation counts. You’ll be responsible for generating demand, opening new doors, and converting opportunities into long-term consulting partnerships. Success in this role means building trust quickly, translating manufacturing pain points into KenexAI solutions, and hustling to grow pipeline from scratch. Key Responsibilities · Drive net-new client acquisition in the manufacturing space with minimal brand awareness and yet will have marketing support · Develop and execute your own territory and outreach plan, including cold prospecting, referrals, and networking · Position KenexAI’s consulting services and accelerators as high-value solutions for targeted business improvement opportunities · Collaborate closely with delivery leads to craft custom proposals and solution roadmaps · Engage senior-level buyers across operations, digital, and IT to understand needs and shape value-driven conversations · Attend industry events, participate in thought leadership, and create visibility for KenexAI in target accounts · Own full sales cycle and pipeline management, maintaining accuracy in CRM and forecast reporting Requirements · 5+ years of outside sales experience in consulting, digital transformation, or advanced data & AI services · Experience selling into manufacturing clients and understanding of key operational pain points · Proven track record of building pipeline and closing deals without the support of a major brand · Self-starter with a high tolerance for ambiguity and an entrepreneurial approach to prospecting and deal creation · Strong communication and storytelling skills—able to simplify complex solutions for business buyers · Willingness to travel up to 50% across the U.S. Preferred Qualifications · Background in or exposure to sectors such as industrials, automotive, CPG, or high-tech manufacturing · Familiarity with selling AI, analytics, or cloud data solutions in a services context · Experience working in or with early-stage startups or boutique consulting firms Why Kenexai? · Be part of building something from the ground up in a high-growth, high-impact domain · Work alongside passionate experts in AI, data, and industry consulting · Competitive base + uncapped commission structure tied directly to performance · Remote-first flexibility with real ownership and career growth potential Benefits and Perks · Health Insurance The company provides comprehensive health insurance coverage including medical, dental, and vision benefits for eligible employees. · Paid Time Off (PTO) Employees are eligible for 10 to 20 days of paid time off per year , depending on their role and tenure with the company. In addition, the company provides 8 to 12 paid public holidays annually , based on the official holiday calendar. · Parental Leave Parental leave is provided in accordance with company policy to support employees during childbirth or adoption. · Basic Life and Disability Insurance The company offers basic life insurance and disability coverage to ensure financial protection in the event of unforeseen circumstances.
Job Title: Lead AI/ML Engineer Experience: 8+ Years Job Location: Ahmedabad Department: Artificial Intelligence / Machine Learning / Data Science Job Type: Full Time Preferred Immediate Joiner About Us: Kenexai delivers smart, data-driven solutions that empower businesses across industries. Our mission is to combine deep, domain-specific expertise with cutting-edge technology to drive meaningful impact. With a trusted team, consistent quality, and a growing global presence, we remain committed to delivering excellence while staying true to our core values: innovation, integrity, and client success. Be part of a team that’s not just building solutions but shaping the future with intelligence. Roles and Responsibility: We are looking for a Lead AI/ML Engineer to drive the development and deployment of scalable machine learning systems across our organization. This is a high-visibility, high-impact role that blends deep technical skill with strategic leadership. You will lead the architecture, design, and implementation of AI/ML solutions, mentor a team of engineers and data scientists, and influence product and technology roadmaps. · Design and lead development of scalable machine learning pipelines, training systems, and model deployment infrastructure. · Drive architecture decisions related to ML/AI platforms, including model lifecycle management and MLOps. · Own the end-to-end delivery of ML solutions: from prototyping to productionization, monitoring, and optimization. · Research and evaluate cutting-edge ML algorithms, frameworks, and tools; drive adoption where applicable. · Ensure responsible AI practices around explainability, fairness, bias, and model governance. · Lead and mentor a cross-functional team of ML engineers, data scientists, and software engineers. · Collaborate with product, engineering, and analytics teams to align AI/ML efforts with business objectives. · Develop and enforce best practices for machine learning development, experimentation, and deployment. · Contribute to the hiring and technical evaluation of new team members. · Present technical work to executive stakeholders and contribute to AI/ML strategic planning. Skill Requirement: · 7+ years of experience in AI/ML engineering or applied machine learning. · Deep expertise in Python, ML Algorithms and ML frameworks such as TensorFlow, PyTorch, scikit-learn , etc. · Strong understanding of cloud-based ML platforms (e.g., AWS SageMaker, Azure ML, GCP Vertex AI ). · Proven experience building production-grade ML systems at scale. · Experience with MLOps tools and practices: model versioning, CI/CD, monitoring, and retraining. · Solid software engineering background: Git, containerization (Docker), microservices, APIs. · Knowledge of advanced ML concepts, including deep learning, NLP, recommendation systems, or generative models. · Experience with transformer models, LLMs, Generative AI, RLHF, or foundation models. · Experience in regulated environments (e.g., finance, healthcare) with attention to compliance and ethics in AI. · Familiarity with tools like MLflow, Kubeflow, Ray , or Hugging Face Transformers . · Bachelor’s or master’s degree in computer science, Machine Learning, Data Science, or related field. · Ph.D. in a relevant discipline is a strong plus. Why Kenexai? · Be part of building something from the ground up in a high-growth, high-impact domain · Work alongside passionate experts in AI, data, and industry consulting · Competitive base + uncapped commission structure tied directly to performance · Remote-first flexibility with real ownership and career growth potential Perks and Benefits: · Employees are entitled to flexible working hours to support work-life balance. · The company operates on a 5-day work week. · A healthy, inclusive, and collaborative work environment is maintained. · The company organizes Fun Fridays and festive celebrations to foster team spirit. · Employees have access to opportunities for continuous learning and career growth. · An annual company trip is organized for team building and relaxation. · Comprehensive medical insurance benefits are provided to employees. · Performance-based bonuses and annual salary revisions are offered. · A hybrid working model is available, allowing a mix of in-office and remote work as per company policy.
Experience: 4+ Years Department: Data Engineering / Analytics Job Type : Full Time Job Location: Ahmedabad About Us: Kenexai delivers smart, data-driven solutions that empower businesses across industries. Our mission is to combine deep, domain-specific expertise with cutting-edge technology to drive meaningful impact. With a trusted team, consistent quality, and a growing global presence, we remain committed to delivering excellence while staying true to our core values: innovation, integrity, and client success. Be part of a team that’s not just building solutions but shaping the future with intelligence. Roles and Responsibility: We are looking for a highly skilled and experienced Senior Databricks Data Engineer to join our data engineering team. In this role, you will be responsible for designing, building, and optimizing scalable data pipelines and solutions using the Databricks Lakehouse Platform. You will work closely with data scientists, analysts, and business stakeholders to ensure reliable and efficient data delivery across the organization. Design and develop scalable ETL/ELT pipelines using Apache Spark on Databricks. Build and maintain robust data lakes and data warehouses (Delta Lake, Lakehouse architecture). Optimize data flows for performance, scalability, and cost-efficiency on the Databricks platform . Collaborate with data analysts, scientists, and other engineers to integrate data from diverse sources. Implement data quality checks, monitoring, and alerting solutions. Develop CI/CD pipelines for data jobs and workflows. Support the migration of legacy data systems to the Databricks ecosystem. Contribute to data governance and security best practices Why Kenexai? Be part of building something from the ground up in a high-growth, high-impact domain Work alongside passionate experts in AI, data, and industry consulting Competitive base + uncapped commission structure tied directly to performance Remote-first flexibility with real ownership and career growth potential
Looking to onboard a skilled Outside Sales Representative for our Manufacturing Vertical with 8-16 years of experience. The ideal candidate will have a strong background in IT Services & Consulting and excellent sales skills. Roles and Responsibility Develop and execute strategic sales plans to achieve business objectives. Build and maintain relationships with key clients and stakeholders. Identify new business opportunities and generate leads through cold calling and networking. Conduct market research and competitor analysis to stay ahead of the competition. Collaborate with cross-functional teams to develop and implement sales strategies. Meet or exceed monthly, quarterly, and annual sales targets. Job Requirements Proven track record of success in outside sales, preferably in the manufacturing vertical. Strong understanding of IT Services & Consulting industry trends and technologies. Excellent communication, negotiation, and interpersonal skills. Ability to work independently and as part of a team. Strong problem-solving and analytical skills. Familiarity with CRM software and sales analytics tools.
Roles and Responsibility : Work as a team player and build sales as per quarterly targets Must be proficient to create new business opportunities and work towards closure in conjunction with other team members within the organization Identify potential customers and front-end partners willing to consume company services Regular touchbase with customers through phone calls / web meetings and email and ensure timely conversion of the leads and business booking Ability to identify right prospects and convert them in customers Achieve targeted sales in assigned region. Successfully penetrate and meet sales growth as per given customer profiles Share feedback on regular basis with reporting manager Optimize opportunities to engage in cross-selling with both internal and external partners Act as a key spokesperson for the organization and have frequent contact with executive-level representatives from customers, strategic business partners, industry associations. Effectively oversee day-to-day operations and ensure that performance is on track to achieve the objectives
Roles and Responsibility : Develop expertise in the different upstream data stores and systems. Design, develop and maintain data integration pipelines for growing data sets and product offerings. Build testing and QA plans for data pipelines. Skillful in ETL Data Engineering. Build data validation testing frameworks to ensure high data quality and integrity. Write and maintain documentation on data pipelines and schemas Extensive experience in data integration tools to analyse root cause and provide a fix for production and development issues. Good in Understanding of Hive, Spark, Hadoop architecture and optimization.
Roles and Responsibility : 1. Database and Datawarehouse Expertise: Demonstrate excellent understanding of Database and Datawarehouse concepts. Strong proficiency in writing SQL queries. 2. Snowflake Cloud Data Warehouse: Design and implement Snowflake cloud data warehouse. Develop and implement cloud-related architecture and data modeling. 3. Migration Projects: Manage migration projects, specifically migrating from On-prem to Snowflake. 4. Snowflake Capabilities: Utilize comprehensive knowledge of Snowflake capabilities such as Snow pipe, Stages, SnowSQL, Streams, and tasks. 5. Advanced Snowflake Concepts: Implement advanced Snowflake concepts like setting up resource monitor, RBAC controls, Virtual Warehouse sizing, Zero copy clone. 6. Data Migration Expertise: Possess in-depth knowledge and experience in data migration from RDBMS to Snowflake cloud data warehouse. 7. Snowflake Feature Deployment: Deploy Snowflake features such as data sharing, event, and lake house patterns. 8. Incremental Extraction Loads: Execute Incremental extraction loads, both batched and streaming.
Roles and Responsibility : Collaborate with stakeholders to understand business requirements and data needs. Translate business requirements into scalable and efficient data engineering solutions. Design, develop, and maintain data pipelines using AWS serverless technologies. Implement data modeling techniques to optimize data storage and retrieval processes. Develop and deploy data processing and transformation frameworks for real-time and batch processing. Ensure data pipelines are scalable, reliable, and performant for large-scale data sizes. Implement data documentation and observability tools and practices to monitor...
We are seeking a skilled and innovative AI/ML Engineer to design, develop, and implement machine learning models and artificial intelligence solutions that drive business impact. The ideal candidate will have strong experience in data science, statistical modeling, and deep learning frameworks, along with the ability to work in cross-functional teams. Build and deploy scalable ML models for classification, regression, recommendation, or NLP tasks. Collect, clean, and preprocess large datasets from various sources. Design and run experiments to evaluate model performance and improve accuracy. Collaborate with software engineers to integrate models into production systems. Stay updated with the latest AI/ML research and technologies to apply best practices. Optimize model performance and ensure alignment with business goals.
Roles and Responsibility : Design, develop, and maintain Tableau dashboards and reports to visualize data insights and support business objectives. Collaborate with stakeholders to gather requirements and translate them into effective visualizations. Optimize Tableau performance and ensure scalability of dashboards for large datasets. Develop and maintain SQL queries for data transformation, and Analytics processes. Work closely with the data engineering team to ensure the availability and quality of data for reporting purposes. Conduct thorough testing and validation of Tableau dashboards to ensure accuracy and reliability of data visualizations. Provide technical support and troubleshooting assistance to end-users regarding Tableau dashboards and related data issues. Stay updated with the latest Tableau features, best practices, and industry trends to continuously improve reporting solutions. Solid RDMS experience and data modeling and advanced querying skills. Strong ability to extract information by questioning, active listening, and interviewing. Awareness of agile/iterative approaches. Strong analytical and problem-solving skills. Excellent writing skills, with the ability to create clear requirements, specifications, and documentation Experience using JIRA / Confluence is needed.