Current Openings
Position: Solution Architect – Data & AI
Location: Ahmedabad,Pune
Required Experience: 8+ Years
Preferred Immediate Joiner
We are seeking a highly skilled and experienced Solution Architect – Data & AI to lead and drive our data-driven transformation. The ideal candidate will be responsible for designing and implementing cutting-edge AI and data solutions that align with business objectives. You will work closely with cross-functional teams to create scalable, high-performance architectures that leverage modern technologies in data engineering, machine learning, and cloud computing.
Key Responsibilities:
- Architect and design end-to-end data and AI solutions that address business challenges and optimize decision-making.
- Define and implement best practices for data architecture, data governance, and AI model deployment.
- Collaborate with data engineers, data scientists, and business stakeholders to deliver scalable and high-impact AI-driven applications.
- Lead the integration of AI models with enterprise applications, ensuring seamless deployment and operational efficiency.
- Evaluate and recommend the latest technologies in data platforms, AI frameworks, and cloud-based analytics solutions.
- Ensure data security, compliance, and ethical AI implementation.
- Guide teams in adopting advanced analytics, AI, and machine learning models for predictive insights and automation.
- Drive innovation by identifying new opportunities for AI and data-driven improvements within the organization.
Required Skills & Qualifications:
- 8+ years of experience in designing and implementing data and AI solutions.
- Strong expertise in cloud platforms such as AWS, Azure, or Google Cloud.
- Hands-on experience with big data technologies (Spark, Databricks, Snowflake, etc.).
- Proficiency in TensorFlow, PyTorch, Scikit-learn, etc.
- Deep understanding of data modeling, ETL processes, and data governance frameworks.
- Experience in MLOps, model deployment, and automation.
- Proficiency in Generative AI frameworks.
- Strong programming skills in Python, SQL, and Java/Scala (preferred).
- Familiarity with containerization and orchestration (Docker, Kubernetes).
- Excellent problem-solving skills and the ability to work in a fast-paced environment.
- Strong communication and leadership skills, with the ability to drive technical conversations.
Preferred Qualifications:
- Certifications in cloud architecture, data engineering, or AI/ML.
- Experience with generative AI.
- Background in developing AI-driven analytics solutions for enterprises.
- Experience with Graph RAG, Building AI Agents, Multi-Agent systems
- Additional certifications in AI/GenAI is preferred.
- Proven leadership skills are expected.
Perks:
- Flexible Timings
- 5 Days Working
- Healthy Environment
- Celebration
- Learn and Grow
- Build the Community
- Medical Insurance Benefit
Position: Lead Data Engineer (Snowflake)
Location: Ahmedabad, Pune
Required Experience: 7 to 10 Years
Preferred Immediate Joiner
We are looking for a highly skilled Lead Data Engineer (Snowflake) to join our team. The ideal candidate will have extensive experience Snowflake, and cloud platforms, with a strong understanding of ETL processes, data warehousing concepts, and programming languages. If you have a passion for working with large datasets, designing scalable database schemas, and solving complex data problems, we would love to hear from you!
Key Responsibilities:
- Design, develop, and optimize data pipelines using Snowflake, and ELT/ETL tools.
- Architect, implement, and maintain data warehouse solutions while ensuring high performance and scalability.
- Design and develop efficient database schemas and data models to support business needs.
- Write and optimize complex SQL queries for data processing and reporting.
- Work with Python, C#, or Java to develop data transformation scripts and automate processes.
- Ensure data integrity, security, and governance throughout the data lifecycle.
- Analyze, troubleshoot, and resolve data-related issues at tactical, functional, and strategic levels.
- Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.
Qualifications (Must Have):
- Strong experience with Snowflake.
- Deep understanding of transactional databases, OLAP, and data warehousing concepts.
- Experience in designing database schemas and data models.
- Proficiency in one programming language (Python, C#, or Java).
- Strong problem-solving and analytical skills.
Good to Have:
- Snowpro Core or Snowpro Advanced certificate
- Experience with cost/performance optimization.
- Client-facing experience with the ability to understand business needs.
- Ability to work collaboratively in a team environment.
Perks:
- Flexible Timings
- 5 Days Working
- Healthy Environment
- Celebration
- Learn and Grow
- Build the Community
- Medical Insurance Benefit
Position: Lead Data Engineer (GCP)
Location: Ahmedabad, Pune
Required Experience: 7 to 10 Years
Preferred Immediate Joiner
We are seeking an experienced and dynamic Lead Data Engineer to join our team. This role is pivotal in advancing our data engineering practices on the Google Cloud Platform (GCP) and offers a unique opportunity to work with cutting-edge technologies, including Generative AI.
Key Responsibilities:
- Lead the design, implementation, and optimization of scalable data pipelines and architectures on GCP using key services such as Big Query, Dataflow, Pub/Sub, and Cloud Storage.
- Collaborate with cross-functional teams to define data requirements and develop strategic solutions that address business needs.
- Enhance existing data infrastructure, ensuring high levels of performance, reliability, and security.
- Drive the integration and deployment of machine learning models and advanced analytics solutions, incorporating Generative AI where applicable.
- Establish and enforce best practices in data governance, data quality, and data security.
- Mentor and guide junior engineers, fostering a culture of innovation and continuous improvement.
- Stay informed about the latest trends in data engineering, GCP advancements, and Generative AI technologies to drive innovation within the team.
Required Skills & Qualifications:
- Bachelor’s or master’s degree in computer science, Information Technology, or a related field.
- 7+ to 10 years of experience in data engineering, with a strong emphasis on GCP technologies.
- Demonstrated expertise in building and managing data solutions using GCP services like Big Query, Dataflow, and Cloud Composer.
- Proficiency in SQL and programming languages such as Python, Java, or Scala.
- Strong understanding of data modelling, warehousing concepts, and real-time data processing.
- Familiarity with containerization and orchestration tools like Docker and Kubernetes.
- Excellent analytical, problem-solving, and communication skills.
- Leadership experience with a proven ability to mentor and develop junior team members.
Preferred Qualifications:
- GCP Professional Data Engineer certification.
- Experience with Generative AI technologies and their practical applications.
- Knowledge of additional cloud platforms such as AWS or Azure.
- Experience with implementing data governance frameworks and tools.
Perks:
- Flexible Timings
- 5 Days Working
- Healthy Environment
- Celebration
- Learn and Grow
- Build the Community
- Medical Insurance Benefit
Position: Lead Data Engineer (Databricks)
Location: Ahmedabad, Pune
Required Experience: 7 to 10 Years
Preferred Immediate Joiner
We are looking for an accomplished Lead Data Engineer with expertise in Databricks to join our dynamic team. This role is crucial for enhancing our data engineering capabilities, and it offers the chance to work with advanced technologies, including Generative AI.
Key Responsibilities:
- Lead the design, development, and optimization of data solutions using Databricks, ensuring they are scalable, efficient, and secure.
- Collaborate with cross-functional teams to gather and analyse data requirements, translating them into robust data architectures and solutions.
- Develop and maintain ETL pipelines, leveraging Databricks and integrating with Azure Data Factory as needed.
- Implement machine learning models and advanced analytics solutions, incorporating Generative AI to drive innovation.
- Ensure data quality, governance, and security practices are adhered to, maintaining the integrity and reliability of data solutions.
- Provide technical leadership and mentorship to junior engineers, fostering an environment of learning and growth.
- Stay updated on the latest trends and advancements in data engineering, Databricks, Generative AI, and Azure Data Factory to continually enhance team capabilities.
Required Skills & Qualifications:
- Bachelor’s or master’s degree in computer science, Information Technology, or a related field.
- 7+ to 10 years of experience in data engineering, with a focus on Databricks.
- Proven expertise in building and optimizing data solutions using Databricks and integrating with Azure Data Factory/AWS Glue.
- Proficiency in SQL and programming languages such as Python or Scala.
- Strong understanding of data modelling, ETL processes, and Data Warehousing/Data Lakehouse concepts.
- Familiarity with cloud platforms, particularly Azure, and containerization technologies such as Docker.
- Excellent analytical, problem-solving, and communication skills.
- Demonstrated leadership ability with experience mentoring and guiding junior team members.
Preferred Qualifications:
- Experience with Generative AI technologies and their applications.
- Familiarity with other cloud platforms, such as AWS or GCP.
- Knowledge of data governance frameworks and tools.
Perks:
- Flexible Timings
- 5 Days Working
- Healthy Environment
- Celebration
- Learn and Grow
- Build the Community
- Medical Insurance Benefit
Position: Sr. Cloud Ops/DevOps Engineer
Location: Ahmedabad / Pune
Required Experience: 5+ Years
Preferred Immediate Joiner
We are looking for a highly skilled Sr. Cloud Ops/DevOps Engineer to manage and enhance our cloud infrastructure, CI/CD pipelines, and system reliability. The ideal candidate will have extensive experience in cloud platforms (AWS, Azure, or GCP), automation, containerization, and monitoring to ensure the smooth deployment and performance of applications.
Key Responsibilities:
- Design, implement, and manage scalable, secure, and high-availability cloud infrastructure.
- Develop and maintain CI/CD pipelines to enable automated and efficient software releases.
- Implement Infrastructure as Code (IaC) using tools like Terraform, CloudFormation, or Pulumi.
- Monitor system performance, troubleshoot issues, and optimize cloud resources for efficiency.
- Ensure security compliance and implement best practices for cloud security, access control, and data protection.
- Automate operational processes and workflows using scripting (Bash, Python, etc.) and configuration management tools like Ansible, Chef, or Puppet.
- Collaborate with development, security, and IT teams to enhance system reliability and performance.
- Set up and maintain observability tools for logging, alerting, and monitoring using Prometheus, Grafana, ELK stack, or similar technologies.
- Optimize cost, performance, and scalability of cloud environments based on business needs.
- Provide mentorship and guidance to junior team members in CloudOps and DevOps best practices.
Required Skills & Qualifications:
- 5+ years of experience in CloudOps, DevOps, or Site Reliability Engineering (SRE) roles.
- Hands-on expertise with cloud platforms like AWS, Azure, or Google Cloud Platform (GCP).
- Strong knowledge of CI/CD tools such as Jenkins, GitLab CI/CD, ArgoCD, or CircleCI.
- Experience with containerization and orchestration using Docker and Kubernetes.
- Proficiency in Infrastructure as Code (IaC) using Terraform, CloudFormation, or Pulumi.
- Strong scripting skills in Python, Bash, or PowerShell for automation tasks.
- Experience with monitoring, logging, and observability tools like Prometheus, Grafana, ELK stack, or Datadog.
- Strong understanding of networking, security, and cloud governance best practices.
- Experience in cost optimization and performance tuning for cloud-based applications.
- Excellent problem-solving, troubleshooting, and communication skills.
Preferred Skills (Nice to Have):
- Certifications such as AWS Certified DevOps Engineer, Azure DevOps Engineer Expert, or Google Professional Cloud DevOps Engineer.
- Experience with serverless architectures and microservices.
- Knowledge of chaos engineering and resilience testing.
- Familiarity with GitOps principles and tools like Flux or ArgoCD.
Perks:
- Flexible Timings
- 5 Days Working
- Healthy Environment
- Celebration
- Learn and Grow
- Build the Community
- Medical Insurance Benefit
Position:Lead Data Quality Engineer
Location: Ahmedabad / Pune
Required Experience: 8+ Years
Preferred Immediate Joiner
We are looking for a highly skilled Lead Data Quality Engineer to drive data accuracy, consistency, and integrity across our data ecosystem. The ideal candidate will be responsible for designing, implementing, and overseeing data quality frameworks, ensuring compliance with best practices, and collaborating with cross-functional teams to maintain high data standards.
Key Responsibilities:
- Data Quality Strategy: Develop and implement data quality frameworks, policies, and best practices to enhance data governance and integrity.
- Data Profiling & Analysis: Conduct data profiling, anomaly detection, and root cause analysis to identify and resolve data quality issues.
- Data Validation & Cleansing: Implement automated and manual data validation techniques to ensure completeness, consistency, and accuracy.
- Data Governance & Compliance: Ensure adherence to data governance principles, regulatory requirements, and industry standards.
- ETL & Data Pipelines Monitoring: Work closely with data engineering teams to maintain and enhance data pipelines with embedded quality checks.
- Automation & Testing: Develop automated data quality tests, monitoring dashboards, and alerts using SQL, Python, or other data tools.
- Collaboration & Stakeholder Management: Partner with data engineers, analysts, and business teams to establish quality metrics and ensure alignment on data quality objectives.
- Performance Monitoring & Reporting: Track and report data quality KPIs, create dashboards, and provide insights to leadership.
Required Skills & Qualifications:
- Experience: 7+ years of experience in data quality, data governance, or data engineering roles, with at least 2 years in a leadership capacity.
- Technical Skills:
- Strong expertise in SQL for data querying, validation, and analysis.
- Experience with ETL processes, data pipelines, and data integration tools (Airflow, Talend, Informatica, DBT, etc.).
- Proficiency in Python, PySpark, or other scripting languages for data automation.
- Hands-on experience with Data Quality and Governance tools (Collibra, Alation, Talend DQ, Great Expectations, etc.).
- Knowledge of cloud platforms (AWS, Azure, GCP) and modern data architectures.
- Familiarity with Big Data technologies (Spark, Snowflake, Databricks, etc.) is a plus.
- Soft Skills:
- Strong problem-solving and analytical skills.
- Excellent communication and stakeholder management abilities.
- Ability to lead and mentor a team of data engineers or analysts.
- Detail-oriented with a proactive approach to data quality management.
Preferred Skills :
- Experience in regulated industries (finance, healthcare, etc.) with data compliance knowledge (GDPR, HIPAA, etc.).
- Exposure to machine learning data quality frameworks is a plus.
- Data certification (e.g., CDMP, Collibra Ranger, or similar) is a plus.
Perks:
- Flexible Timings
- 5 Days Working
- Healthy Environment
- Celebration
- Learn and Grow
- Build the Community
- Medical Insurance Benefit
Position: Sr. MLOps Engineer
Location: Ahmedabad, Pune
Required Experience: 5+ Years
Preferred Immediate Joiner
Building the machine learning production infrastructure (or MLOps) is the biggest challenge most large companies currently have in making the transition to becoming an AI-driven organization.
We are looking for a highly skilled MLOps Engineer to join our team. As an MLOps Engineer, you will be responsible for designing, implementing, and maintaining the infrastructure that supports the deployment, monitoring, and scaling of machine learning models in production. You will work closely with data scientists, software engineers, and DevOps teams to ensure seamless integration of machine learning models into our production systems.
The job is NOT for your if
You don’t want to build a career in AI/ML. Becoming an expert in this technology and staying current will require significant self-motivation. You like the comfort and predictability of working on the same problem or code base for years. The tools, best practices, architectures, and problems are all going through rapid change — you will be expected to learn new skills quickly and adapt.
Key Responsibilities:
- Model Deployment: Design and implement scalable, reliable, and secure pipelines for deploying machine learning models to production.
- Infrastructure Management: Develop and maintain infrastructure as code (IaC) for managing cloud resources, compute environments, and data storage.
- Monitoring and Optimization: Implement monitoring tools to track the performance of models in production, identify issues, and optimize performance.
- Collaboration: Work closely with data scientists to understand model requirements and ensure models are production ready.
- Automation: Automate the end-to-end process of training, testing, deploying, and monitoring models.
- Continuous Integration/Continuous Deployment (CI/CD): Develop and maintain CI/CD pipelines for machine learning projects.
- Version Control: Implement model versioning to manage different iterations of machine learning models.
- Security and Governance: Ensure that the deployed models and data pipelines are secure and comply with industry regulations.
- Documentation: Create and maintain detailed documentation of all processes, tools, and infrastructure.
Qualifications:
- 5+ years of experience in a similar role (DevOps, DataOps, MLOps, etc.)
- Bachelor’s or master’s degree in computer science, Engineering, or a related field.
- Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes)
- Strong understanding of machine learning lifecycle, data pipelines, and model serving.
- Proficiency in programming languages such as Python, Shell scripting, and familiarity with ML frameworks (TensorFlow, PyTorch, etc.).
- Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc.)
- Experience with CI/CD tools like Jenkins, GitLab CI, or similar
- Experience building end-to-end systems as a Platform Engineer, ML DevOps Engineer, or Data Engineer (or equivalent)
- Strong software engineering skills in complex, multi-language systems
- Comfort with Linux administration
- Experience working with cloud computing and database systems
- Experience building custom integrations between cloud-based systems using APIs
- Experience developing and maintaining ML systems built with open-source tools
- Experience developing with containers and Kubernetes in cloud computing environments
- Familiarity with one or more data-oriented workflow orchestration frameworks (MLFlow, KubeFlow, Airflow, Argo, etc.)
- Ability to translate business needs to technical requirements
- Strong understanding of software testing, benchmarking, and continuous integration
- Exposure to machine learning methodology and best practices
- Understanding of regulatory requirements for data privacy and model governance.
Good to Have:
- Excellent problem-solving skills and ability to troubleshoot complex production issues.
- Strong communication skills and ability to collaborate with cross-functional teams.
- Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack).
- Knowledge of database systems (SQL, NoSQL).
- Experience with Generative AI frameworks.
- Preferred cloud-based or MLOps/DevOps certification (AWS, GCP, or Azure).
Perks:
- Flexible Timings
- 5 Days Working
- Healthy Environment
- Celebration
- Learn and Grow
- Build the Community
- Medical Insurance Benefit
Position: Senior AI/ML Engineer
Location: Ahmedabad, Pune
Required Experience: 5 to 8 Years
Preferred Immediate Joiner
We are looking for a Senior AI/ML Engineer to develop, deploy, and optimize AI-driven solutions. This role requires expertise in machine learning, deep learning, and Generative AI, with a strong focus on implementing cutting-edge AI models for business applications.
Key Responsibilities:
- Develop and deploy AI/ML models to solve complex business problems.
- Design and optimize Generative AI models for various applications.
- Perform data preprocessing, feature engineering, and model tuning to enhance accuracy.
- Collaborate with cross-functional teams to integrate AI solutions into existing workflows.
- Conduct research and stay updated on the latest advancements in AI, ML, and LLMs.
- Implement MLOps best practices to ensure scalable and efficient model deployment.
- Mentor junior engineers and contribute to knowledge sharing.
- Present technical findings and project results to stakeholders.
Required Skills & Qualifications:
- Bachelor’s or master’s degree in computer science, AI, ML, or a related field.
- 5 to 8 years of hands-on experience in AI/ML development.
- Strong proficiency in Python, R, or Java, along with ML frameworks like TensorFlow, PyTorch, or Keras.
- Expertise in Generative AI, NLP, and deep learning techniques.
- Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).
- Experience with MLOps tools for model lifecycle management.
- Strong analytical and problem-solving skills.
- Excellent communication skills for collaboration with business teams.
Preferred Qualifications:
- Experience with multi-agent systems and Generative AI design patterns.
- Understanding of computer vision, reinforcement learning, and AI-driven automation.
- Contributions to AI research, publications, or open-source projects.
Perks:
- Flexible Timings
- 5 Days Working
- Healthy Environment
- Celebration
- Learn and Grow
- Build the Community
- Medical Insurance Benefit
Position: Lead AI Engineer
Location: Ahmedabad, Pune
Required Experience: 8+ Years
Preferred Immediate Joiner
We are seeking an experienced Lead AI Engineer to spearhead AI initiatives, drive innovation, and architect scalable AI/ML solutions. This role involves leading AI-driven projects, mentoring teams, and integrating AI solutions into enterprise applications.
Key Responsibilities:
- Architect and develop enterprise-scale AI/ML solutions, including Generative AI and LLMs.
- Lead research and implementation of cutting-edge AI methodologies.
- Collaborate with business stakeholders to define AI strategy and align it with business goals.
- Optimize model performance and scalability for production deployment.
- Establish best practices for AI development, including MLOps and model monitoring.
- Drive innovation by exploring new AI techniques and frameworks.
- Manage and mentor a team of AI engineers, fostering a culture of continuous learning.
- Present insights, research findings, and AI-driven solutions to leadership teams.
Required Skills & Qualifications:
- Master’s or Ph.D. in Computer Science, AI, Machine Learning, or a related discipline.
- 8+ years of experience in AI, ML, and deep learning, with a track record of successful AI deployments.
- Strong expertise in LLMs, Generative AI, NLP, and multimodal AI.
- Proficiency in Python, R, Java, and AI/ML frameworks like TensorFlow, PyTorch, or Hugging Face.
- Extensive experience with cloud-based AI solutions, MLOps, and scalable architectures.
- Ability to lead AI-driven initiatives and collaborate with cross-functional teams.
- Strong leadership skills to manage, mentor, and guide engineering teams.
- Excellent communication and stakeholder management abilities.
Preferred Skills:
- Experience in multi-agent systems, federated learning, and AI ethics.
- Understanding of computer vision, reinforcement learning, and AI automation.
- Contributions to AI research, patents, or high-impact publications.
Perks:
- Flexible Timings
- 5 Days Working
- Healthy Environment
- Celebration
- Learn and Grow
- Build the Community
- Medical Insurance Benefit