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Role : Senior ML Engineer Location : Bangalore, Pune Experience : 4 - 7 Yrs Employment Type : Full Time, Permanent Working mode : Regular Notice Period : Immediate - 15 Days About the Role : We are seeking a highly skilled Senior Data Scientist to join our team and contribute to cutting-edge projects. As a key member of our data science team, you will leverage your expertise in machine learning, natural language processing, and data engineering to develop innovative solutions that drive business value. Responsibilities : - Machine Learning Model Development : Design, develop, and deploy advanced machine learning models, focusing on natural language processing tasks such as text classification, sentiment analysis, and language generation. - Data Engineering : Extract, transform, and load (ETL) data from various sources, ensuring data quality and consistency. - NLP Techniques : Apply state-of-the-art NLP techniques, including language models and text processing, to solve complex problems. - Python and ML Frameworks : Utilize Python programming language and popular ML frameworks like PyTorch or TensorFlow to build efficient and scalable models. - Cloud and Containerization : Leverage cloud platforms (GCP, AWS) and containerization technologies (Docker) for efficient deployment and management of ML models. - Database Management : Work with relational databases (Postgres, MySQL) to store, manage, and query large datasets. - Knowledge Graphs and ML Publications : Contribute to the development of knowledge graphs and stay updated with the latest advancements in the field through research and publications. Qualifications : Experience : 4-7 years of hands-on experience in data science, with a strong focus on machine learning and natural language processing. Technical Skills : - Proficiency in Python programming language. - Deep understanding of machine learning algorithms and techniques. - Expertise in NLP, including language models and text processing. - Familiarity with ML frameworks like PyTorch or TensorFlow. - Experience with cloud platforms (GCP, AWS) and containerization (Docker). - Knowledge of relational databases (Postgres, MySQL). Soft Skills : - Strong problem-solving and analytical skills. - Excellent communication and collaboration abilities. - Ability to work independently and as part of a team. Benefits : - Competitive salary and benefits package. - Opportunities for professional growth and development. - Collaborative and supportive work environment.

Mandatory skills : spring boots, microservices, sql, AWS cloud services. - Very good proficiency with Java Web Services and Spring Boot Microservices. - Good proficiency with SQL (Experience with postgreSQL is added advantage). - Should have understanding of Microservices architecture, familiar with Spring Boot Best practices and Design Patterns. - Having knowledge of AWS Cloud Services is preferred. Basic proficiency in Python is required. - ReactJS and NodeJS is optional. A Java Developer is a software engineer who specializes in the development of applications and systems using the Java programming language. Java, known for its portability, scalability, and robustness, is widely used in various domains, including web applications, mobile applications, enterprise solutions, and cloud-based services. Java Developers are responsible for designing, implementing, and maintaining Java-based applications, ensuring they meet both functional and non-functional requirements. In their role, Java Developers work closely with other team members, including project managers, business analysts, and quality assurance testers, to deliver high-quality software solutions. They are involved in the entire software development lifecycle (SDLC), from gathering requirements and designing architecture to coding, testing, and deployment. Their expertise in Java and related technologies enables them to create efficient, reliable, and scalable applications that can handle a wide range of user demands. They develop user interfaces, business logic, and server-side components for company's web applications. They have the following duties and responsibilities : - Analyze user needs and software requirements to determine feasibility of design - Design and implement user interfaces and web applications using Java programming language - Collaborate with the web designers to realize visual design intent & display web content effectively - Develop and direct software system testing and validation procedures - Modify existing software to correct errors, improve its performance, or upgrade interfaces - Consult with customers or other departments on project status, proposals, or technical issues - Coordinate with other software professionals and developers to fix software issues - Maintain understanding of current web technologies or programming practices through continuing education - Document every aspect of the application or system as a reference for future maintenance and upgrades Our Ideal Candidate : We are looking for a strong Developer who thrives on research and development projects. Be a strong technical hand who work efficiently to make sure we are building the right code and services using the right coding principles. Requirement : - Hands On Experience in Front End and Back End Development. - Clear understanding and application knowledge of Object Oriented concepts - Java, SOA and Web Services (REST SOAP) required. - Experience in Java 8, Spring, Spring Boot, Microservices, ORM Tools, and Cloud technologies - Experience of Java Microservices architecture - Experience with designing, implementing, and deploying microservices in distributed systems - Good to have knowledge and experience of deploying to application in Cloud using Jenkins. CI/CD tools like Git, Jenkins - Knowledge of SQL - Experience on AWS - Experience on PostgreSQL Desirable to have : - Code review tools like Sonar, Checkstyle - Knowledge of writing unit testing using Junit, Mockito, DBUnit etc., - Knowledge to build scripts using Ant, Maven - Exposure to Agile Model - Exposure to BFSI domain AWS knowledge else any other cloud Oracle ELCM (Enterprise Limits and Collateral Management) knowledge

Mandatory Skills : AWS Architect, AWS Glue or Databricks, PySpark, and Python- Hands-on experience with AWS Glue or Databricks, PySpark, and Python.- Minimum of 2 years of hands-on expertise in PySpark, including Spark job performance optimization techniques.- Minimum of 2 years of hands-on involvement with AWS Cloud - Hands on experience in StepFunction, Lambda, S3, Secret Manager, Snowflake/Redshift, RDS, Cloudwatch- Proficiency in crafting low-level designs for data warehousing solutions on AWS cloud.- Proven track record of implementing big-data solutions within the AWS ecosystem including Data Lakes.- Familiarity with data warehousing, data quality assurance, and monitoring practices.- Demonstrated capability in constructing scalable data pipelines and ETL processes.- Proficiency in testing methodologies and validating data pipelines.- Experience with or working knowledge of DevOps environments.- Practical experience in Data security services.- Understanding of data modeling, integration, and design principles.- Strong communication and analytical skills.- A dedicated team player with a goal-oriented mindset, committed to delivering quality work with attention to detail.- Solution Design : Collaborate with clients and stakeholders to understand business requirements and translate them into cloud-based solutions utilizing AWS services (EC2, Lambda, S3, RDS, VPC, IAM, etc.).- Architecture and Implementation : Design and implement secure, scalable, and high-performance cloud solutions, ensuring alignment with AWS best practices and architectural principles.- Cloud Migration : Assist with the migration of on-premise applications to AWS, ensuring minimal disruption and maximum efficiency.- Technical Leadership : Provide technical leadership and guidance to development teams to ensure adherence to architecture standards and best practices.- Optimization : Continuously evaluate and optimize AWS environments for cost, performance, and security.- Security : Ensure the cloud architecture adheres to industry standards and security policies, using tools like AWS Identity and Access Management (IAM), AWS Key Management Service (KMS), and encryption protocols.- Documentation & Reporting : Create clear technical documentation to define architectural decisions, solution designs, and cloud configurations.- Stakeholder Collaboration : Work with cross-functional teams including developers, DevOps, QA, and business teams to align technical solutions with business goals.- Continuous Learning : Stay updated with the latest AWS services, tools, and industry trends to ensure the implementation of cutting-edge solutions.- Strong understanding of AWS cloud services and architecture.- Hands-on experience with Infrastructure as Code (IaC) tools like AWS CloudFormation, Terraform, or AWS CDK.- Knowledge of networking, security, and database services within AWS (e.g., VPC, IAM, RDS, and S3).- Familiarity with containerization and orchestration using AWS services like ECS, EKS, or Fargate.- Proficiency in scripting languages (e.g., Python, Shell, or Node.js).- Familiarity with CI/CD tools and practices in AWS environments (e.g., CodePipeline, Jenkins, etc.). Soft Skills :Communication Skills :- Clear and Concise Communication : Ability to articulate complex technical concepts in simple terms for both technical and non-technical stakeholders.- Active Listening : Ability to listen to business and technical requirements from stakeholders to ensure the proposed solution meets their needs.- Documentation Skills : Ability to document technical designs, solutions, and architectural decisions in a clear and well-organized manner.Leadership and Team Collaboration :- Mentoring and Coaching : Ability to mentor junior engineers, providing guidance and fostering professional growth.- Cross-functional Teamwork : Collaborating effectively with various teams such as developers, DevOps, QA, business analysts, and security specialists to deliver integrated cloud solutions.- Conflict Resolution : Addressing and resolving conflicts within teams and stakeholders to ensure smooth project execution.Problem-Solving and Critical Thinking :- Analytical Thinking : Ability to break down complex problems and develop logical, scalable, and cost-effective solutions.- Creative Thinking : Think outside the box to design innovative solutions that maximize the value of AWS technologies.- Troubleshooting Skills : Quickly identifying root causes of issues and finding solutions to mitigate them.Adaptability and Flexibility :- Handling Change : Ability to adapt to evolving requirements, technologies, and business needs. Cloud technologies and customer requirements change quickly.- Resilience : Ability to deal with challenges and setbacks while maintaining a positive attitude and focus on delivering results.Stakeholder Management :- Client-facing Skills : Ability to manage client relationships, understand their business needs, and translate those needs into cloud solutions.- Negotiation Skills : Negotiating technical aspects of projects with clients or business units to balance scope, resources, and timelines.- Expectation Management : Ability to set and manage expectations regarding timelines, deliverables, and technical feasibility.Decision-Making :- Sound Judgment : Making well-informed and balanced decisions that consider both technical feasibility and business impact.- Risk Management : Ability to assess risks in terms of cost, security, and performance and make decisions that minimize potential issues Preferred Skills :- Familiarity with DevOps practices and tools (e.g., Jenkins, Docker, Kubernetes).- Experience with serverless architectures using AWS Lambda, API Gateway, and DynamoDB.- Exposure to multi-cloud architectures (AWS, Azure, Google Cloud).Why Join Us ?- Competitive salary and benefits.- Opportunity to work on cutting-edge cloud technologies.- A dynamic work environment where innovation is encouraged.- Strong focus on professional development and career growth.

We are seeking a highly skilled and motivated STA Synthesis Engineer to join our offshore development teams . The ideal candidate will have expertise in static timing analysis (STA) to ensure the timing integrity of digital integrated circuits. Develop and execute timing constraints, ensuring compliance with design specifications and performance goals. Prepare detailed STA reports, including analysis and recommendations for improvements. Provide training and support to junior STA engineers and team members Role & Responsibilities : - Timing Constraint Generation : Work with design and architecture teams to define and generate timing constraints that specify the desired timing requirements for the design. - STA Setup : Set up and configure STA tools (e.g., Cadence Encounter, Synopsys PrimeTime) for the analysis, including library characterization, delay models, and clock definitions. - Timing Analysis : Perform static timing analysis to evaluate setup and hold times, clock-to-q delays, and other timing metrics. Ensure that the design meets timing requirements for various corners and operating conditions (e.g., process, voltage, temperature variations). - Clock Domain Crossing ( CDC ) Analysis : Identify and analyze asynchronous signals crossing between different clock domains to ensure proper synchronization and to avoid metastability issues. - Multicycle Paths ( MCP ) and False Paths : Define and analyze multicycle paths and false paths to accurately capture the designs timing constraints. - Timing Closure : Collaborate with RTL and physical design teams to achieve timing closure by optimizing the design or constraints. Perform incremental and formal ECO (Engineering Change Order) analysis to address timing issues. - Clock Tree Synthesis ( CTS ) : Work with CTS engineers to ensure that the clock tree meets timing requirements and minimizes clock skew and jitter. - Post-Layout STA : Perform post-layout STA to account for parasitic capacitance and resistance effects introduced during the physical design phase. Identify and resolve timing violations and sign-off on the final timing closure. - Timing Margins : Analyze timing margins to account for variability and manufacturing process variations, ensuring robust operation. - Report Generation : Prepare detailed timing analysis reports, including timing paths, violations, and suggestions for timing optimization. - Cross-Functional Collaboration : Collaborate closely with RTL designers, physical designers, DFT (Design for Test) engineers, and verification teams to resolve timing-related issues. - Methodology Development : Contribute to the development and improvement of STA methodologies and flows to enhance efficiency and accuracy. NOTE : Preferred resources holding valid regional work permits only

Role : Senior ML Engineer Location : Bangalore, Pune Experience : 4 - 7 Yrs Employment Type : Full Time, Permanent Working mode : Regular Notice Period : Immediate - 15 Days About the Role : We are seeking a highly skilled Senior Data Scientist to join our team and contribute to cutting-edge projects. As a key member of our data science team, you will leverage your expertise in machine learning, natural language processing, and data engineering to develop innovative solutions that drive business value. Responsibilities : - Machine Learning Model Development : Design, develop, and deploy advanced machine learning models, focusing on natural language processing tasks such as text classification, sentiment analysis, and language generation. - Data Engineering : Extract, transform, and load (ETL) data from various sources, ensuring data quality and consistency. - NLP Techniques : Apply state-of-the-art NLP techniques, including language models and text processing, to solve complex problems. - Python and ML Frameworks : Utilize Python programming language and popular ML frameworks like PyTorch or TensorFlow to build efficient and scalable models. - Cloud and Containerization : Leverage cloud platforms (GCP, AWS) and containerization technologies (Docker) for efficient deployment and management of ML models. - Database Management : Work with relational databases (Postgres, MySQL) to store, manage, and query large datasets. - Knowledge Graphs and ML Publications : Contribute to the development of knowledge graphs and stay updated with the latest advancements in the field through research and publications. Qualifications : Experience : 4-7 years of hands-on experience in data science, with a strong focus on machine learning and natural language processing. Technical Skills : - Proficiency in Python programming language. - Deep understanding of machine learning algorithms and techniques. - Expertise in NLP, including language models and text processing. - Familiarity with ML frameworks like PyTorch or TensorFlow. - Experience with cloud platforms (GCP, AWS) and containerization (Docker). - Knowledge of relational databases (Postgres, MySQL). Soft Skills : - Strong problem-solving and analytical skills. - Excellent communication and collaboration abilities. - Ability to work independently and as part of a team. Benefits : - Competitive salary and benefits package. - Opportunities for professional growth and development. - Collaborative and supportive work environment.