Hands on experience in data related activities such as data parsing, cleansing quality definition data pipelines, storage and ETL scripts. Expert knowledge in AWS Data Lake implementation and support (S3, Glue, DMS Athena, Lambda, API Gateway, Redshift). Experiences in programming language Python/PySpark/SQL. Experience with data migration with hands-on experience. Experiences in consuming rest API using various authentication options with in AWS Lambda architecture. Orchestrate triggers, debug and schedule batch job using a AWS Glue, Lambda and step functions. Hands-on experience with Redshift, including data models, storage, and writing effective queries. Understanding of AWS security features such as IAM roles and policies. Knowledge of the Devops tools and CI/CD process. AWS certification in AWS is highly preferred. Technical Skills & Expertise: Cloud (AWS) Expertise: S3 (Simple Storage Service): Data storage and partitioning, lifecycle policies, data replication, encryption at rest and transit, and data versioning, Data archive and Data sharing mechanisms. Lambda: Creation of Lambdas, configuring event-driven functions, monitoring, and integration with other AWS services of s3,Glue,API Gateway, Redshift etc. Glue: Creating & Managing ETL pipelines, Glue crawlers, job scheduling, and integration with S3, Redshift, and Athena. Redshift: Creating Tables, Views and Stored procedures, parameter tuning, workload management, configuring triggers, Redshift Spectrum usage for querying S3 data. API Gateway: Designing Restful APIs, securing endpoints using IAM or Cognito, throttling and logging API usage. VPC (Virtual Private Cloud): Aware of existing VPC design, subnets, NAT gateways, peering, routing, and network ACLs for services creation. ELB (Elastic Load Balancer): Configuring ALB/NLB for load distribution, health checks, sticky sessions, and SSL termination. CloudTrail: Enabling auditing and compliance logging, managing trails, integrating with CloudWatch and third-party SIEM tools. SageMaker: Knowledge about Sagemaker ML model training and deployment workflows, managing notebooks, endpoints, and model versioning. CI/CD & DevOps Tools: GitHub / GitHub Actions: Managing version control, branching strategies, and automating workflows for testing and deployment. Jenkins / CloudBees: Building pipelines for build-test-deploy automation, plugin management, parallel execution, and integrations with SCM and artifact repositories. SonarQube: Static code analysis, security vulnerability checks, technical debt reporting, integration into CI/CD. DevOps/MLOps & AI/ML Awareness: Understanding of ML model lifecycle: data preprocessing, training, evaluation, deployment, and monitoring. Experience supporting Data Scientists and ML Engineers in deploying models to production. Familiarity with tools and workflows like SageMaker, MLflow, Airflow (optional), and pipelines integration. Technical Skills: AWS Data Lake, Python/PySpark, SQL, AWS Lambda, Redshift, AWS Glue, Data Migration, IAM Security, CI/CD, AWS Certification
PFB JD for OSS solution designer: 10+ years’ experience in software development, technical project management, digital delivery or technology consulting 2+ years’ experience in Telco clients with OSS business knowledge Hands on experience in ITIL and TMF Business Framework (eTOM), TMF Application Framework (TAM) and TMF Information Framework (SID) Specializing in the areas of SDN, NFV, VNF, MANO, SD-WAN, Telecom OSS – CRM, Service Fulfilment, Service Orchestration & Activation, Inventory, Service Assurance and Billing on telecom products pertaining to SD-WAN, iWAN, MPLS, Internet VPN, Broadband and Mobility Act as a Primary customer interface and bridge the offshore team with customer and meet customer expectations. Capturing business requirements, analysis, solutioning and support bidding process in RFI/RFP Provide technical sales support in bidding lifecycle through documentation, estimation, presentations etc. Effectively performed in Business Analyst and Lead Solution Designer roles for ramp up of projects with complete ownership as per core business objectives Skilled strategist who transforms strategic plans into workable solutions and benchmarks performance against key operational goals Exceptionally organized leader who orchestrated critical business requirements and deliver in time Proactive Team Builder who excels in strategic planning, problem solving, turnaround management and innovative process improvement Strong communicator with first-hand operational experience as a Service Solution Designer - Capturing requirements, analyze and prepare E2E solutions for given business cases/use cases Translate business requirements in technical solution in agreement with other designers Produce HLD with E2E view and interface changes to fulfil all business expectations Work Estimation, costing, test planning and delivery planning · Defined Product Model (using TMF-SID) and Process Model (using BPMN) Network Service Modelling (using YANG) and VNF Template (using TOSCA) E2E Solution Designing on OSS systems and interfaces (API Specification) and guide team in development process Ability to manage several projects simultaneously Proven experience in designing and implementing OSS solutions in the telecommunications industry. Strong knowledge of telecommunications protocols, standards, and technologies. Proficiency in programming languages commonly used in OSS development. Familiarity with network management systems and protocols. Excellent communication and collaboration skills. Bachelor’s or higher degree in a relevant field (e.g., Telecommunications, Computer Science, Electrical Engineering).
You have more than 10 years of experience in software development, technical project management, digital delivery, or technology consulting. Additionally, you possess at least 2 years of experience working with Telco clients and have a strong understanding of OSS business knowledge. Your expertise includes hands-on experience in ITIL, TMF Business Framework (eTOM), TMF Application Framework (TAM), and TMF Information Framework (SID). Your specialization lies in SDN, NFV, VNF, MANO, SD-WAN, Telecom OSS CRM, Service Fulfilment, Service Orchestration & Activation, Inventory, Service Assurance, and Billing. You are well-versed in telecom products such as SD-WAN, iWAN, MPLS, Internet VPN, Broadband, and Mobility. As an OSS Solution Designer, you serve as the primary customer interface, bridging the offshore team with the customer to meet and exceed customer expectations. You excel in capturing business requirements, analyzing, solutioning, and supporting the bidding process in RFI/RFP. You also provide technical sales support throughout the bidding lifecycle, including documentation, estimation, and presentations. Your role involves performing as a Business Analyst and Lead Solution Designer, taking ownership of projects and aligning them with core business objectives. You are a skilled strategist who can translate strategic plans into actionable solutions, benchmarking performance against key operational goals. With exceptional organizational skills, you ensure critical business requirements are met on time. As a proactive team builder, you excel in strategic planning, problem-solving, turnaround management, and innovative process improvement. You possess strong communication skills and operational experience as a Service Solution Designer, adept at capturing requirements, analyzing, and preparing end-to-end solutions for various business cases/use cases. You can translate business requirements into technical solutions in collaboration with other designers, producing High-Level Designs (HLD) with an end-to-end view and interface changes to meet all business expectations. Additionally, you handle work estimation, costing, test planning, and delivery planning, defining Product Model (using TMF-SID) and Process Model (using BPMN). Your expertise extends to Network Service Modelling (using YANG) and VNF Template (using TOSCA), E2E Solution Designing on OSS systems and interfaces (API Specification), and guiding the team in the development process. You have the ability to manage multiple projects simultaneously and have a proven track record of designing and implementing OSS solutions in the telecommunications industry. Your strong knowledge of telecommunications protocols, standards, and technologies, along with proficiency in programming languages commonly used in OSS development, sets you apart. You are familiar with network management systems and protocols, and your excellent communication and collaboration skills enable you to thrive in this dynamic role. A Bachelor's or higher degree in a relevant field (e.g., Telecommunications, Computer Science, Electrical Engineering) underlines your qualifications for this position.,
Desired Skills: • Bachelor's degree in Computer Science, Engineering or a related field. • 5+years of proven experience in big data, analytics and data science. Previous experience as AI engineer will be a good to have experience. • Certification in Google cloud AI platform or Azure AI engineer or similar AI tools will be an added skill. • Deep understanding of machine learning algorithms, statistical analysis, natural language processing, computer vision and related AI technologies. • Expertise in programming languages like Python, Java and experience with cloud computing platforms like AWS, Azure, or GCP. • Strong data analysis skills including data cleaning, feature engineering, and model evaluation. • Ability to design and implement complex distributed systems, considering scalability and performance optimization. • Understanding of business needs and ability to translate them into actionable AI solutions. • Effective communication with both technical and non-technical stakeholders to explain complex AI concepts. • Comfortable working for US shifts or any other shifts as per business needs.
Technical Expertise Knowledge and experience using statistical and machine learning algorithms including regression, instance-based learning, decision trees, Bayesian statistics, clustering, neural networks, deep learning, ensemble methods Expert knowledge in Python with strong proficiency in SQL and ML frameworks (scikit-learn, TensorFlow, PyTorch) Should have done one or more projects involving fine-tuning with LLMs Experience in feature selection, building and optimising classifiers Experience working with backend technologies such as Flask/Gunicorn etc. Extensive experience with deep learning architectures (CNNs, RNNs, Transformers, GANs) and modern optimization techniques Hands-on experience with generative AI technologies including LLMs (GPT, BERT, T5), prompt engineering, fine-tuning, retrieval-augmented generation (RAG), and MCP integration for context-aware AI applications. Experience designing and implementing AI agent architectures, multi-agent systems, and autonomous decision-making frameworks Strong expertise in document processing, OCR, information extraction, and computer vision applications for automated validation systems Experience with conversational AI, voice recognition technologies, and building intelligent chatbot systems Proficiency with cloud platforms (AWS, GCP, Azure) and ML operations tools (MLflow, Kubeflow, Docker, Kubernetes) Strong knowledge of data preprocessing, feature engineering, and model evaluation techniques Proven track record of deploying ML models in production environments with demonstrated business impact Experience with A/B testing, causal inference, and experimental design methodologies Knowledge of workflow automation, system integration, and API development for seamless AI solution deployment
As a Technical Expertise, you will be responsible for utilizing your knowledge and experience in statistical and machine learning algorithms to drive impactful solutions. Your key responsibilities will include: - Utilizing expertise in Python with strong proficiency in SQL and ML frameworks such as scikit-learn, TensorFlow, and PyTorch - Executing projects involving fine-tuning with LLMs - Conducting feature selection, building, and optimizing classifiers - Working with backend technologies like Flask/Gunicorn - Implementing deep learning architectures including CNNs, RNNs, Transformers, GANs, and modern optimization techniques - Hands-on experience with generative AI technologies like GPT, BERT, T5, prompt engineering, fine-tuning, retrieval-augmented generation, and MCP integration - Designing and implementing AI agent architectures, multi-agent systems, and autonomous decision-making frameworks - Demonstrating expertise in document processing, OCR, information extraction, and computer vision applications - Working on conversational AI, voice recognition technologies, and intelligent chatbot systems - Proficiency in cloud platforms (AWS, GCP, Azure) and ML operations tools (MLflow, Kubeflow, Docker, Kubernetes) - Strong knowledge of data preprocessing, feature engineering, and model evaluation techniques - Deploying ML models in production environments with demonstrated business impact - Experience with A/B testing, causal inference, and experimental design methodologies - Knowledge of workflow automation, system integration, and API development for seamless AI solution deployment You should have a proven track record of deploying ML models in production environments with demonstrated business impact. Additionally, you should possess knowledge and experience in workflow automation, system integration, and API development for seamless AI solution deployment.,