{"id":2803131,"url":"https://alion.io/job/i2k2-lead-aws-aiml-engineer","title":"Lead AWS AI/ML Engineer","company":{"id":2827055,"name":"i2k2","domain":"i2k2.com","url":"https://alion.io/company/i2k2","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Noida, India","Delhi, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":20000,"max_usd":54000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":44},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Aurora","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon Kinesis","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"Apache Kafka","optional":false},{"name":"API Gateway","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"DynamoDB","optional":false},{"name":"FastAPI","optional":false},{"name":"Feature Store","optional":false},{"name":"IAM","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"Streamlit","optional":false},{"name":"Spark","optional":true}],"status":"closed","first_seen_at":"2026-07-24T07:03:13Z","employer_posted_date":null,"last_verified_at":"2026-10-22T07:04:24Z","board_verified":false,"closed_at":"2026-10-22T07:04:24Z","days_open":90,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":90},"description":"Company Overview : \n\nI2K2 Networks (P) Limited is a premier IT infrastructure and managed services provider, specializing in cloud computing, data center management, and enterprise-grade security solutions. Operating at the intersection of high-performance infrastructure and emerging technology, the company empowers businesses to scale their digital operations through robust cloud architectures. With a focus on delivering reliable, secure, and scalable environments, I2K2 supports a diverse portfolio of clients across various sectors, ensuring seamless digital transformation and operational excellence.\n\nJob Description : \n\nWe are seeking an experienced AWS AI & Machine Learning Lead with at least 5 years in a leadership role.\n\nThe ideal candidate should possess strong expertise in AWS AI & Machine Learning services and have the ability to work independently while effectively leading and mentoring a team.\n\nKey Responsibilities : \n\n- Architect and deploy end-to-end machine learning pipelines on AWS to streamline model development and production readiness.\n\n- Integrate advanced Gen AI services and large language models into existing client platforms to automate workflows and improve user experiences.\n\n- Lead the implementation of MLOps practices to ensure continuous integration, deployment, and monitoring of AI models at scale.\n\n- Collaborate with data engineering teams to build robust data pipelines that feed high-quality, structured data into AI models.\n\n- Mentor junior engineers and technical staff on best practices for cloud-native AI development and infrastructure optimization.\n\n- Evaluate emerging AI technologies and frameworks to maintain the company's competitive advantage in the cloud services market.\n\nKey skills and experience required : \n\n- AWS AI & Machine Learning\n\n- Generative AI\n\n- Machine Learning (experience in model building is an added advantage; however, hands-on expertise in designing and managing MLOps pipelines is mandatory)\n\n- AWS AI Services\n\n- Cloud Architecture\n\n- Data Engineering\n\n- MLOps & DevOps\n\n- Programming and Software Development\n\n- End-to-end AI/ML solution design and implementation\n\n- The candidate should have a proven track record of delivering scalable AI/ML solutions, driving technical excellence, and leading teams in a fast-paced, cloud-native environment.\n\nAWS AI & Machine Learning : \n\nGenerative AI : \n\n- Amazon Bedrock\n\n- Bedrock Agents\n\n- Bedrock Knowledge Bases\n\n- Model Customization\n\n- Prompt Engineering\n\n- RAG Architecture\n\n- Multi-Agent Systems\n\n- AI Guardrails\n\nMachine Learning (building model is an addon but mlops pipeline is compulsory) : \n\n- Amazon SageMaker\n\n- SageMaker Pipelines\n\n- Feature Store\n\n- Model Training & Deployment\n\n- Hyperparameter Tuning\n\n- Model Monitoring\n\nAI Services : \n\n- Amazon Textract\n\n- Amazon Comprehend\n\n- Amazon Rekognition\n\n- Amazon Transcribe\n\n- Amazon Translate\n\n- Amazon Polly\n\n- Amazon Lex\n\n- Amazon Kendra\n\nCloud Architecture : \n\n- AWS Well-Architected Framework\n\n- Multi-Account Architecture\n\n- IAM & Security\n\n- VPC Design\n\n- API Gateway\n\n- Lambda\n\n- ECS\n\n- EKS\n\n- Step Functions\n\n- EventBridge\n\nData Engineering : \n\n- Amazon S3\n\n- Glue\n\n- Athena\n\n- Redshift\n\n- DynamoDB\n\n- RDS\n\n- Aurora\n\n- Kinesis\n\n- Kafka\n\n- Data Lakes\n\n- Data Warehousing\n\nMLOps & DevOps : \n\n- CI/CD for ML\n\n- SageMaker Pipelines\n\n- Docker\n\n- Kubernetes\n\n- MLflow\n\n- Model Registry\n\n- Monitoring & Observability\n\nProgramming : \n\n- Python\n\n- SQL\n\n- PySpark\n\n- FastAPI\n\n- Streamlit\n\n- LangChain\n\n- LangGraph\n\nSkills\nAWS, Artificial Intelligence, Machine Learning, Generative AI, MLOps, Prompt Engineering, Python","description_format":"text","description_chars":3611,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Data Centers & Colocation","Managed IT Services (MSP)","Cloud Consulting & 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